Index (Ignite 8.9.38)

A B C D E F G H I K L M N O P R S T U V W Z

A

ABS - Static variable in class org.apache.ignite.ml.math.functions.Functions: Deprecated.

Function that returns Math.abs(a).
AbstractCrossValidation<M extends IgniteModel<Vector,L>,L,K,V> - Class in org.apache.ignite.ml.selection.cv: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
AbstractCrossValidation() - Constructor for class org.apache.ignite.ml.selection.cv.AbstractCrossValidation: Deprecated.
AbstractCrossValidation.TaskResult - Class in org.apache.ignite.ml.selection.cv: Deprecated.

Represents the scores and map of parameters.
AbstractLSQR - Class in org.apache.ignite.ml.math.isolve.lsqr: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
AbstractLSQR() - Constructor for class org.apache.ignite.ml.math.isolve.lsqr.AbstractLSQR: Deprecated.
AbstractMatrix - Class in org.apache.ignite.ml.math.primitives.matrix: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
AbstractMatrix(MatrixStorage) - Constructor for class org.apache.ignite.ml.math.primitives.matrix.AbstractMatrix: Deprecated.
AbstractMatrix() - Constructor for class org.apache.ignite.ml.math.primitives.matrix.AbstractMatrix: Deprecated.
AbstractMetrics<M extends MetricValues> - Class in org.apache.ignite.ml.selection.scoring.metric: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
AbstractMetrics() - Constructor for class org.apache.ignite.ml.selection.scoring.metric.AbstractMetrics: Deprecated.
AbstractVector - Class in org.apache.ignite.ml.math.primitives.vector: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
AbstractVector(VectorStorage) - Constructor for class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.
AbstractVector(boolean, VectorStorage) - Constructor for class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.
AbstractVector() - Constructor for class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.
accept(A, B, C) - Method in interface org.apache.ignite.ml.math.functions.IgniteTriConsumer: Deprecated.

Analogous to 'accept' in Consumer version, but with three parameters.
accessMode() - Method in class org.apache.ignite.ml.math.primitives.matrix.impl.DenseMatrix: Deprecated.

Get access mode.
accessMode() - Method in interface org.apache.ignite.ml.math.primitives.matrix.MatrixStorage: Deprecated.
accessMode() - Method in interface org.apache.ignite.ml.math.primitives.matrix.OrderedMatrix: Deprecated.

Get access mode.
accessMode() - Method in class org.apache.ignite.ml.math.primitives.matrix.storage.DenseMatrixStorage: Deprecated.
accessMode() - Method in class org.apache.ignite.ml.math.primitives.matrix.storage.SparseMatrixStorage: Deprecated.
accessMode() - Method in class org.apache.ignite.ml.math.primitives.matrix.storage.ViewMatrixStorage: Deprecated.
Accuracy<L> - Class in org.apache.ignite.ml.selection.scoring.metric.classification: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
Accuracy() - Constructor for class org.apache.ignite.ml.selection.scoring.metric.classification.Accuracy: Deprecated.
accuracy() - Method in class org.apache.ignite.ml.selection.scoring.metric.classification.BinaryClassificationMetricValues: Deprecated.

Returns Accuracy.
activationFunction() - Method in class org.apache.ignite.ml.nn.architecture.TransformationLayerArchitecture: Deprecated.

Get activation function for this layer.
Activators - Class in org.apache.ignite.ml.nn: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
Activators() - Constructor for class org.apache.ignite.ml.nn.Activators: Deprecated.
activatorsOutput - Variable in class org.apache.ignite.ml.nn.MLPState: Deprecated.

Output of activators.
activatorsOutput(int) - Method in class org.apache.ignite.ml.nn.MLPState: Deprecated.

Output of activators of given layer.
AdaptableDatasetModel<I,O,IW,OW,M extends IgniteModel<IW,OW>> - Class in org.apache.ignite.ml.trainers: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
AdaptableDatasetModel(IgniteFunction<I, IW>, M, IgniteFunction<OW, O>) - Constructor for class org.apache.ignite.ml.trainers.AdaptableDatasetModel: Deprecated.

Construct instance of this class.
AdaptableDatasetTrainer<I,O,IW,OW,M extends IgniteModel<IW,OW>,L> - Class in org.apache.ignite.ml.trainers: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
add(double, M) - Method in class org.apache.ignite.ml.multiclass.MultiClassModel: Deprecated.

Adds a specific binary classifier to the bunch of same classifiers.
add(MLPArchitecture) - Method in class org.apache.ignite.ml.nn.architecture.MLPArchitecture: Deprecated.

Creates config describing network where first goes this config and after goes this method's argument.
add(MultilayerPerceptron) - Method in class org.apache.ignite.ml.nn.MultilayerPerceptron: Deprecated.

Create MLP where this MLP output is fed as input to added MLP.
add(GiniImpurityMeasure) - Method in class org.apache.ignite.ml.tree.impurity.gini.GiniImpurityMeasure: Deprecated.

Adds the given impurity to this.
add(T) - Method in interface org.apache.ignite.ml.tree.impurity.ImpurityMeasure: Deprecated.

Adds the given impurity to this.
add(MSEImpurityMeasure) - Method in class org.apache.ignite.ml.tree.impurity.mse.MSEImpurityMeasure: Deprecated.

Adds the given impurity to this.
add(StepFunction<T>) - Method in class org.apache.ignite.ml.tree.impurity.util.StepFunction: Deprecated.

Adds the given step function to this.
add(VectorGenerator, double) - Method in class org.apache.ignite.ml.util.generators.primitives.vector.VectorGeneratorsFamily.Builder: Deprecated.

Add generator to family with weight proportional to it selection probability.
add(VectorGenerator) - Method in class org.apache.ignite.ml.util.generators.primitives.vector.VectorGeneratorsFamily.Builder: Deprecated.

Adds generator to family with weight = 1.
add(Vector, Vector) - Method in class org.apache.ignite.ml.util.generators.standard.GaussianMixtureDataStream.Builder: Deprecated.

Adds multidimentional gaussian component.
addElement(T) - Method in interface org.apache.ignite.ml.dataset.feature.Histogram: Deprecated.

Add object to histogram.
addElement(T) - Method in class org.apache.ignite.ml.dataset.feature.ObjectHistogram: Deprecated.

Add object to histogram.
addElement(BootstrappedVector) - Method in class org.apache.ignite.ml.tree.randomforest.data.impurity.GiniHistogram: Deprecated.

Add object to histogram.
addElement(BootstrappedVector) - Method in class org.apache.ignite.ml.tree.randomforest.data.impurity.MSEHistogram: Deprecated.

Add object to histogram.
addElementToLeafStatistic(ObjectHistogram<BootstrappedVector>, BootstrappedVector, int) - Method in class org.apache.ignite.ml.tree.randomforest.data.statistics.ClassifierLeafValuesComputer: Deprecated.

Save vector to leaf statistic.
addElementToLeafStatistic(T, BootstrappedVector, int) - Method in class org.apache.ignite.ml.tree.randomforest.data.statistics.LeafValuesComputer: Deprecated.

Save vector to leaf statistic.
addElementToLeafStatistic(MeanValueStatistic, BootstrappedVector, int) - Method in class org.apache.ignite.ml.tree.randomforest.data.statistics.RegressionLeafValuesComputer: Deprecated.

Save vector to leaf statistic.
addField(String, String) - Method in class org.apache.ignite.ml.util.ModelTrace: Deprecated.

Add field.
addField(String, List) - Method in class org.apache.ignite.ml.util.ModelTrace: Deprecated.

Add field.
addHyperParam(String, DoubleConsumer, Double[]) - Method in class org.apache.ignite.ml.selection.paramgrid.ParamGrid: Deprecated.

Adds a grid for the specific hyper parameter.
addMatrix2MatrixTrainer(DatasetTrainer<M1, L>) - Method in class org.apache.ignite.ml.composition.stacking.StackedVectorDatasetTrainer: Deprecated.

Shortcut for adding trainer Matrix -> Matrix where this trainer is treated as Vector -> Vector, where input Vector is turned into 1 x cols Matrix and output is a first row of output Matrix.
addPreprocessingTrainer(PreprocessingTrainer) - Method in class org.apache.ignite.ml.pipeline.Pipeline: Deprecated.

Adds a preprocessor.
addTrainer(DatasetTrainer<M1, L>) - Method in class org.apache.ignite.ml.composition.stacking.SimpleStackedDatasetTrainer: Deprecated.

Adds submodel trainer along with converters needed on training and inference stages.
addTrainer(DatasetTrainer<M1, L>) - Method in class org.apache.ignite.ml.composition.stacking.StackedDatasetTrainer: Deprecated.

Adds submodel trainer along with converters needed on training and inference stages.
addTrainer(DatasetTrainer<M1, L>) - Method in class org.apache.ignite.ml.composition.stacking.StackedVectorDatasetTrainer: Deprecated.

Adds submodel trainer along with converters needed on training and inference stages.
addTrainer(DatasetTrainer) - Method in class org.apache.ignite.ml.pipeline.Pipeline: Deprecated.

Adds a trainer.
addTrainerWithDoubleOutput(DatasetTrainer<M1, L>) - Method in class org.apache.ignite.ml.composition.stacking.StackedVectorDatasetTrainer: Deprecated.

Shortcut for adding trainer Vector -> Double where this trainer is treated as Vector -> Vector, where output Vector is constructed by wrapping double value.
addVectorizer(Vectorizer<K, V, C, L>) - Method in class org.apache.ignite.ml.pipeline.Pipeline: Deprecated.
affinityCallWithRetries(Ignite, Collection<String>, IgniteFunction<Integer, R>, int, int, DeployingContext) - Static method in class org.apache.ignite.ml.dataset.impl.cache.util.ComputeUtils: Deprecated.

Calls the specified fun function on all partitions so that is't guaranteed that partitions with the same index of all specified caches will be placed on the same node and will not be moved before computation is finished.
affinityCallWithRetries(Ignite, Collection<String>, IgniteFunction<Integer, R>, int, DeployingContext) - Static method in class org.apache.ignite.ml.dataset.impl.cache.util.ComputeUtils: Deprecated.

Calls the specified fun function on all partitions so that is't guaranteed that partitions with the same index of all specified caches will be placed on the same node and will not be moved before computation is finished.
afterFeatureExtractor(IgniteFunction<Vector, Vector>) - Method in class org.apache.ignite.ml.trainers.AdaptableDatasetTrainer: Deprecated.

Specify function which will be applied after feature extractor.
afterLabelExtractor(IgniteFunction<L, L>) - Method in class org.apache.ignite.ml.trainers.AdaptableDatasetTrainer: Deprecated.

Specify function which will be applied after label extractor.
afterTrainedModel(IgniteFunction<O, O1>) - Method in class org.apache.ignite.ml.trainers.AdaptableDatasetTrainer: Deprecated.

Let this trainer produce model mdl.
aggregateImpurityStatistics(ArrayList<TreeRoot>, Map<Integer, BucketMeta>, Map<NodeId, TreeNode>, Dataset<EmptyContext, BootstrappedDatasetPartition>) - Method in class org.apache.ignite.ml.tree.randomforest.data.impurity.ImpurityHistogramsComputer: Deprecated.

Computes histograms for each feature.
all() - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.

Gets iterator over all elements in this vector.
all() - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingVector: Deprecated.

Gets iterator over all elements in this vector.
all() - Method in interface org.apache.ignite.ml.math.primitives.vector.Vector: Deprecated.

Gets iterator over all elements in this vector.
ALL - Static variable in class org.apache.ignite.ml.tree.randomforest.data.FeaturesCountSelectionStrategies: Deprecated.
allCoords(K, V) - Method in class org.apache.ignite.ml.dataset.feature.extractor.ExtractionUtils.ArrayLikeVectorizer: Deprecated.

Returns list of all coordinate with feature values.
allCoords(K, BinaryObject) - Method in class org.apache.ignite.ml.dataset.feature.extractor.impl.BinaryObjectVectorizer: Deprecated.

Returns list of all coordinate with feature values.
allCoords(K, LabeledVector<L>) - Method in class org.apache.ignite.ml.dataset.feature.extractor.impl.LabeledDummyVectorizer: Deprecated.

Returns list of all coordinate with feature values.
allCoords(K, V) - Method in class org.apache.ignite.ml.dataset.feature.extractor.Vectorizer: Deprecated.

Returns list of all coordinate with feature values.
allCoords(K, V) - Method in class org.apache.ignite.ml.dataset.feature.extractor.Vectorizer.VectorizerAdapter: Deprecated.

Returns list of all coordinate with feature values.
allSpliterator() - Method in class org.apache.ignite.ml.math.primitives.matrix.AbstractMatrix: Deprecated.

Gets spliterator for all values in this matrix.
allSpliterator() - Method in interface org.apache.ignite.ml.math.primitives.matrix.Matrix: Deprecated.

Gets spliterator for all values in this matrix.
allSpliterator() - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.

Gets spliterator for all values in this vector.
allSpliterator() - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingVector: Deprecated.

Gets spliterator for all values in this vector.
allSpliterator() - Method in interface org.apache.ignite.ml.math.primitives.vector.Vector: Deprecated.

Gets spliterator for all values in this vector.
allUpdatesReducer() - Method in class org.apache.ignite.ml.nn.UpdatesStrategy: Deprecated.

Get function used to reduce updates from different trainings (for example, averaging of gradients of all parallel trainings).
amountOfFolds - Variable in class org.apache.ignite.ml.selection.cv.AbstractCrossValidation: Deprecated.

Amount of folds.
and(TreeFilter) - Method in interface org.apache.ignite.ml.tree.TreeFilter: Deprecated.

Returns a composed predicate.
andBefore(IgniteFunction<V1, T>) - Method in interface org.apache.ignite.ml.IgniteModel: Deprecated.

Get a composition model of the form x -> mdl(before(x)).
andBefore(IgniteFunction<I1, I>) - Method in class org.apache.ignite.ml.trainers.AdaptableDatasetModel: Deprecated.

Create new AdaptableDatasetModel which is a composition of the form thisMdl . before.
andThen(IgniteFunction<C, C2>) - Method in interface org.apache.ignite.ml.dataset.PartitionContextBuilder: Deprecated.

Makes a composed partition context builder that first builds a context and then applies the specified function on the result.
andThen(IgniteBiFunction<D, C, D2>) - Method in interface org.apache.ignite.ml.dataset.PartitionDataBuilder: Deprecated.

Makes a composed partition data builder that first builds a data and then applies the specified function on the result.
andThen(UpstreamTransformerBuilder) - Method in interface org.apache.ignite.ml.dataset.UpstreamTransformerBuilder: Deprecated.

Combunes two builders (this and other respectfully) env -> transformer1 env -> transformer2 into env -> transformer2 . transformer1
andThen(IgniteModel<V, V1>) - Method in interface org.apache.ignite.ml.IgniteModel: Deprecated.

Get a composition model of the form x -> after(mdl(x)).
andThen(IgniteFunction<V, V1>) - Method in interface org.apache.ignite.ml.IgniteModel: Deprecated.

Get a composition model of the form x -> after(mdl(x)).
andThen(IgniteFunction<? super R, ? extends V>) - Method in interface org.apache.ignite.ml.math.functions.IgniteBiFunction: Deprecated.
andThen(IgniteFunction<? super R, ? extends V>) - Method in interface org.apache.ignite.ml.math.functions.IgniteFunction: Deprecated.

Compose this function and given function.
andThen(Function<? super R, ? extends V>) - Method in interface org.apache.ignite.ml.math.functions.IgniteTriFunction: Deprecated.
andThen(IgniteModel<O, O1>) - Method in class org.apache.ignite.ml.trainers.AdaptableDatasetModel: Deprecated.

Get a composition model of the form x -> after(mdl(x)).
andThen(DatasetTrainer<M1, L>, IgniteFunction<AdaptableDatasetModel<I, O, IW, OW, M>, IgniteFunction<LabeledVector<L>, LabeledVector<L>>>) - Method in class org.apache.ignite.ml.trainers.AdaptableDatasetTrainer: Deprecated.

Create a TrainersSequentialComposition of whis trainer and specified trainer.
ANNClassificationModel - Class in org.apache.ignite.ml.knn.ann: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
ANNClassificationModel(LabeledVectorSet<LabeledVector>, ANNClassificationTrainer.CentroidStat) - Constructor for class org.apache.ignite.ml.knn.ann.ANNClassificationModel: Deprecated.

Build the model based on a candidates set.
ANNClassificationTrainer - Class in org.apache.ignite.ml.knn.ann: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
ANNClassificationTrainer() - Constructor for class org.apache.ignite.ml.knn.ann.ANNClassificationTrainer: Deprecated.
ANNClassificationTrainer.CentroidStat - Class in org.apache.ignite.ml.knn.ann: Deprecated.

Service class used for statistics.
ANNModelFormat - Class in org.apache.ignite.ml.knn.ann: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
ANNModelFormat(int, DistanceMeasure, boolean, LabeledVectorSet<LabeledVector>, ANNClassificationTrainer.CentroidStat) - Constructor for class org.apache.ignite.ml.knn.ann.ANNModelFormat: Deprecated.

Creates an instance.
apply(double[]) - Method in class org.apache.ignite.ml.composition.predictionsaggregator.MeanValuePredictionsAggregator: Deprecated.
apply(double[]) - Method in class org.apache.ignite.ml.composition.predictionsaggregator.OnMajorityPredictionsAggregator: Deprecated.
apply(double[]) - Method in class org.apache.ignite.ml.composition.predictionsaggregator.WeightedPredictionsAggregator: Deprecated.
apply(K, V) - Method in class org.apache.ignite.ml.dataset.feature.extractor.Vectorizer: Deprecated.

Extracts labeled vector from upstream object.
apply(int, double) - Method in interface org.apache.ignite.ml.math.functions.IgniteIntDoubleToDoubleBiFunction: Deprecated.
apply(int, int) - Method in interface org.apache.ignite.ml.math.functions.IgniteIntIntToIntBiFunction: Deprecated.
apply(A, B, C) - Method in interface org.apache.ignite.ml.math.functions.IgniteTriFunction: Deprecated.
apply(int, int, double) - Method in interface org.apache.ignite.ml.math.functions.IntIntDoubleToVoidFunction: Deprecated.
apply(K, V) - Method in class org.apache.ignite.ml.preprocessing.binarization.BinarizationPreprocessor: Deprecated.

Applies this preprocessor.
apply(K, V) - Method in class org.apache.ignite.ml.preprocessing.developer.MappedPreprocessor: Deprecated.
apply(K, V) - Method in class org.apache.ignite.ml.preprocessing.developer.PatchedPreprocessor: Deprecated.

Applies this preprocessor.
apply(K, V) - Method in class org.apache.ignite.ml.preprocessing.encoding.onehotencoder.OneHotEncoderPreprocessor: Deprecated.

Applies this preprocessor.
apply(K, V) - Method in class org.apache.ignite.ml.preprocessing.encoding.stringencoder.StringEncoderPreprocessor: Deprecated.

Applies this preprocessor.
apply(K, V) - Method in class org.apache.ignite.ml.preprocessing.imputing.ImputerPreprocessor: Deprecated.

Applies this preprocessor.
apply(K, V) - Method in class org.apache.ignite.ml.preprocessing.maxabsscaling.MaxAbsScalerPreprocessor: Deprecated.

Applies this preprocessor.
apply(K, V) - Method in class org.apache.ignite.ml.preprocessing.minmaxscaling.MinMaxScalerPreprocessor: Deprecated.

Applies this preprocessor.
apply(K, V) - Method in class org.apache.ignite.ml.preprocessing.normalization.NormalizationPreprocessor: Deprecated.

Applies this preprocessor.
apply(K, V) - Method in class org.apache.ignite.ml.preprocessing.standardscaling.StandardScalerPreprocessor: Deprecated.

Applies this preprocessor.
applyGradient(Map<O, Vector>, Map<S, Vector>) - Method in class org.apache.ignite.ml.recommendation.util.MatrixFactorizationGradient: Deprecated.

Applies given gradient to recommendation model (object matrix and subject matrix) and updates this model correspondingly.
architecture - Variable in class org.apache.ignite.ml.nn.MultilayerPerceptron: Deprecated.

This MLP architecture.
architecture() - Method in class org.apache.ignite.ml.nn.MultilayerPerceptron: Deprecated.

Get architecture of this MLP.
argmin(List<A>, IgniteFunction<A, B>) - Static method in class org.apache.ignite.ml.math.functions.Functions: Deprecated.
ArrayLikeVectorizer(Integer...) - Constructor for class org.apache.ignite.ml.dataset.feature.extractor.ExtractionUtils.ArrayLikeVectorizer: Deprecated.

Creates an instance of Vectorizer.
ArraySpatialIndex<L> - Class in org.apache.ignite.ml.knn.utils.indices: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
ArraySpatialIndex(List<LabeledVector<L>>, DistanceMeasure) - Constructor for class org.apache.ignite.ml.knn.utils.indices.ArraySpatialIndex: Deprecated.

Construct a new array spatial index.
asArray() - Method in interface org.apache.ignite.ml.math.primitives.vector.Vector: Deprecated.

Returns array of doubles corresponds to vector components.
asAscii(Vector, String, boolean) - Static method in class org.apache.ignite.ml.math.Tracer: Deprecated.
asAscii(Matrix, String) - Static method in class org.apache.ignite.ml.math.Tracer: Deprecated.
asDatasetBuilder(int, int) - Method in interface org.apache.ignite.ml.util.generators.DataStreamGenerator: Deprecated.

Convert first N values from stream to DatasetBuilder.
asDatasetBuilder(int, IgniteBiPredicate<Vector, Double>, int) - Method in interface org.apache.ignite.ml.util.generators.DataStreamGenerator: Deprecated.

Convert first N values from stream to DatasetBuilder.
asDatasetBuilder(int, IgniteBiPredicate<Vector, Double>, int, UpstreamTransformerBuilder) - Method in interface org.apache.ignite.ml.util.generators.DataStreamGenerator: Deprecated.

Convert first N values from stream to DatasetBuilder.
asDataStream() - Method in interface org.apache.ignite.ml.util.generators.primitives.vector.VectorGenerator: Deprecated.

Conterts vectors generator to unlabeled data stream generator.
asDataStream() - Method in class org.apache.ignite.ml.util.generators.primitives.vector.VectorGeneratorsFamily: Deprecated.

Creates data stream where label of vector == id of distribution from family.
asDense(SparseMatrix, int) - Static method in class org.apache.ignite.ml.math.util.MatrixUtil: Deprecated.
asFeatureExtractor(FeatureLabelExtractor<K, V, L>) - Static method in class org.apache.ignite.ml.composition.CompositionUtils: Deprecated.

Create feature extractor from given mapping (key, value) -> LabeledVector.
asLabelExtractor(FeatureLabelExtractor<K, V, L>) - Static method in class org.apache.ignite.ml.composition.CompositionUtils: Deprecated.

Label extractor feature extractor from given mapping (key, value) -> LabeledVector.
asLIBSVM(String, String, String, Random, int) - Static method in class org.apache.ignite.ml.util.MnistUtils: Deprecated.

Convert random count samples from MNIST dataset from two files (images and labels) into libsvm format.
asMap(int) - Method in interface org.apache.ignite.ml.util.generators.DataStreamGenerator: Deprecated.

Convert first N values from stream to map.
assertAccessMode(int) - Method in interface org.apache.ignite.ml.math.StorageConstants: Deprecated.
assertStorageMode(int) - Method in interface org.apache.ignite.ml.math.StorageConstants: Deprecated.
assign(double) - Method in class org.apache.ignite.ml.math.primitives.matrix.AbstractMatrix: Deprecated.

Assigns given value to all elements of this matrix.
assign(IntIntToDoubleFunction) - Method in class org.apache.ignite.ml.math.primitives.matrix.AbstractMatrix: Deprecated.

Assigns each matrix element to the value generated by given function.
assign(double[][]) - Method in class org.apache.ignite.ml.math.primitives.matrix.AbstractMatrix: Deprecated.

Assigns given values to this matrix.
assign(Matrix) - Method in class org.apache.ignite.ml.math.primitives.matrix.AbstractMatrix: Deprecated.

Assigns values from given matrix to this matrix.
assign(double) - Method in interface org.apache.ignite.ml.math.primitives.matrix.Matrix: Deprecated.

Assigns given value to all elements of this matrix.
assign(double[][]) - Method in interface org.apache.ignite.ml.math.primitives.matrix.Matrix: Deprecated.

Assigns given values to this matrix.
assign(Matrix) - Method in interface org.apache.ignite.ml.math.primitives.matrix.Matrix: Deprecated.

Assigns values from given matrix to this matrix.
assign(IntIntToDoubleFunction) - Method in interface org.apache.ignite.ml.math.primitives.matrix.Matrix: Deprecated.

Assigns each matrix element to the value generated by given function.
assign(double) - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.

Assigns given value to all elements of this vector.
assign(double[]) - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.

Assigns values from given array to this vector.
assign(Vector) - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.

Copies values from the argument vector to this one.
assign(IntToDoubleFunction) - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.

Assigns each vector element to the value generated by given function.
assign(double) - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingVector: Deprecated.

Assigns given value to all elements of this vector.
assign(double[]) - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingVector: Deprecated.

Assigns values from given array to this vector.
assign(Vector) - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingVector: Deprecated.

Copies values from the argument vector to this one.
assign(IntToDoubleFunction) - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingVector: Deprecated.

Assigns each vector element to the value generated by given function.
assign(double) - Method in interface org.apache.ignite.ml.math.primitives.vector.Vector: Deprecated.

Assigns given value to all elements of this vector.
assign(double[]) - Method in interface org.apache.ignite.ml.math.primitives.vector.Vector: Deprecated.

Assigns values from given array to this vector.
assign(Vector) - Method in interface org.apache.ignite.ml.math.primitives.vector.Vector: Deprecated.

Copies values from the argument vector to this one.
assign(IntToDoubleFunction) - Method in interface org.apache.ignite.ml.math.primitives.vector.Vector: Deprecated.

Assigns each vector element to the value generated by given function.
assignColumn(int, Vector) - Method in class org.apache.ignite.ml.math.primitives.matrix.AbstractMatrix: Deprecated.

Assigns values from given vector to the specified column in this matrix.
assignColumn(int, Vector) - Method in interface org.apache.ignite.ml.math.primitives.matrix.Matrix: Deprecated.

Assigns values from given vector to the specified column in this matrix.
assignPartitions(AffinityFunctionContext) - Method in class org.apache.ignite.ml.dataset.impl.cache.util.DatasetAffinityFunctionWrapper: Deprecated.
assignRow(int, Vector) - Method in class org.apache.ignite.ml.math.primitives.matrix.AbstractMatrix: Deprecated.

Assigns values from given vector to the specified row in this matrix.
assignRow(int, Vector) - Method in interface org.apache.ignite.ml.math.primitives.matrix.Matrix: Deprecated.

Assigns values from given vector to the specified row in this matrix.
asStream(Iterator<T>, long) - Static method in class org.apache.ignite.ml.util.Utils: Deprecated.

Convert given iterator to a stream with known count of entries.
asStream(Iterator<T>) - Static method in class org.apache.ignite.ml.util.Utils: Deprecated.

Convert given iterator to a stream.
AsyncModelBuilder - Interface in org.apache.ignite.ml.inference.builder: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
avg(List<NesterovParameterUpdate>) - Static method in class org.apache.ignite.ml.optimization.updatecalculators.NesterovParameterUpdate: Deprecated.

Get average of parameters updates.
AVG - Static variable in class org.apache.ignite.ml.optimization.updatecalculators.RPropParameterUpdate: Deprecated.

Averages updates returned by different trainings.
AVG - Static variable in class org.apache.ignite.ml.optimization.updatecalculators.SimpleGDParameterUpdate: Deprecated.

Method used to sum updates inside of one of parallel trainings.
axpy(Double, Vector, Vector) - Static method in class org.apache.ignite.ml.math.Blas: Deprecated.

Performs y += a * x

B

BaggedModel - Class in org.apache.ignite.ml.composition.bagging: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
BaggedTrainer<L> - Class in org.apache.ignite.ml.composition.bagging: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
BaggedTrainer(DatasetTrainer<? extends IgniteModel, L>, PredictionsAggregator, int, double, int, int) - Constructor for class org.apache.ignite.ml.composition.bagging.BaggedTrainer: Deprecated.

Construct instance of this class with given parameters.
BaggingUpstreamTransformer - Class in org.apache.ignite.ml.trainers.transformers: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
BaggingUpstreamTransformer(long, double) - Constructor for class org.apache.ignite.ml.trainers.transformers.BaggingUpstreamTransformer: Deprecated.

Construct instance of this transformer with a given subsample ratio.
balancedAccuracy() - Method in class org.apache.ignite.ml.selection.scoring.metric.classification.BinaryClassificationMetricValues: Deprecated.

Returns Balanced accuracy.
BallTreeSpatialIndex<L> - Class in org.apache.ignite.ml.knn.utils.indices: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
BallTreeSpatialIndex(List<LabeledVector<L>>, DistanceMeasure) - Constructor for class org.apache.ignite.ml.knn.utils.indices.BallTreeSpatialIndex: Deprecated.

Constructs a new instance of Ball tree spatial index.
baseMdlTrainerBuilder - Variable in class org.apache.ignite.ml.composition.boosting.GDBLearningStrategy: Deprecated.

Base model trainer builder.
basePreprocessor - Variable in class org.apache.ignite.ml.preprocessing.encoding.EncoderPreprocessor: Deprecated.

Base preprocessor.
beforeTrainedModel(IgniteFunction<I1, I>) - Method in class org.apache.ignite.ml.trainers.AdaptableDatasetTrainer: Deprecated.

Let this trainer produce model mdl.
below - Variable in class org.apache.ignite.ml.nn.MultilayerPerceptron: Deprecated.

MLP which is 'below' this MLP (i.e. below output goes to this MLP as input).
belowLayersCount() - Method in class org.apache.ignite.ml.nn.MultilayerPerceptron: Deprecated.

Count of layers in below MLP.
beta(double[], double, double) - Method in class org.apache.ignite.ml.math.isolve.lsqr.AbstractLSQR: Deprecated.

Calculates beta.
beta(double[], double, double) - Method in class org.apache.ignite.ml.math.isolve.lsqr.LSQROnHeap: Deprecated.

Calculates beta.
bias(int, int) - Method in class org.apache.ignite.ml.nn.MultilayerPerceptron: Deprecated.

Get the bias of given neuron in given layer.
biases - Variable in class org.apache.ignite.ml.nn.MLPLayer: Deprecated.

Biases vector.
biases(int) - Method in class org.apache.ignite.ml.nn.MultilayerPerceptron: Deprecated.

Get biases of layer with given index.
BinarizationPreprocessor<K,V> - Class in org.apache.ignite.ml.preprocessing.binarization: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
BinarizationPreprocessor(double, Preprocessor<K, V>) - Constructor for class org.apache.ignite.ml.preprocessing.binarization.BinarizationPreprocessor: Deprecated.

Constructs a new instance of Binarization preprocessor.
BinarizationTrainer<K,V> - Class in org.apache.ignite.ml.preprocessing.binarization: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
BinarizationTrainer() - Constructor for class org.apache.ignite.ml.preprocessing.binarization.BinarizationTrainer: Deprecated.
BinaryClassificationMetrics - Class in org.apache.ignite.ml.selection.scoring.metric.classification: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
BinaryClassificationMetrics() - Constructor for class org.apache.ignite.ml.selection.scoring.metric.classification.BinaryClassificationMetrics: Deprecated.
BinaryClassificationMetricValues - Class in org.apache.ignite.ml.selection.scoring.metric.classification: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
BinaryClassificationMetricValues(long, long, long, long, double) - Constructor for class org.apache.ignite.ml.selection.scoring.metric.classification.BinaryClassificationMetricValues: Deprecated.

Initialize an example by 4 metrics.
BinaryObjectVectorizer<K> - Class in org.apache.ignite.ml.dataset.feature.extractor.impl: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
BinaryObjectVectorizer(String...) - Constructor for class org.apache.ignite.ml.dataset.feature.extractor.impl.BinaryObjectVectorizer: Deprecated.

Creates an instance of Vectorizer.
BinaryObjectVectorizer.Mapping - Class in org.apache.ignite.ml.dataset.feature.extractor.impl: Deprecated.

Feature values mapping for non-number features.
Blas - Class in org.apache.ignite.ml.math: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
Blas() - Constructor for class org.apache.ignite.ml.math.Blas: Deprecated.
blur(RandomProducer) - Method in interface org.apache.ignite.ml.util.generators.DataStreamGenerator: Deprecated.

Apply pseudorandom noize to vectors without labels mapping.
bnorm() - Method in class org.apache.ignite.ml.math.isolve.lsqr.AbstractLSQR: Deprecated.

Calculates bnorm.
bnorm() - Method in class org.apache.ignite.ml.math.isolve.lsqr.LSQROnHeap: Deprecated.

Calculates bnorm.
BootstrappedDatasetBuilder<K,V> - Class in org.apache.ignite.ml.dataset.impl.bootstrapping: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
BootstrappedDatasetBuilder(Preprocessor<K, V>, int, double) - Constructor for class org.apache.ignite.ml.dataset.impl.bootstrapping.BootstrappedDatasetBuilder: Deprecated.

Creates an instance of BootstrappedDatasetBuilder.
BootstrappedDatasetPartition - Class in org.apache.ignite.ml.dataset.impl.bootstrapping: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
BootstrappedDatasetPartition(BootstrappedVector[]) - Constructor for class org.apache.ignite.ml.dataset.impl.bootstrapping.BootstrappedDatasetPartition: Deprecated.

Creates an instance of BootstrappedDatasetPartition.
BootstrappedVector - Class in org.apache.ignite.ml.dataset.impl.bootstrapping: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
BootstrappedVector(Vector, double, int[]) - Constructor for class org.apache.ignite.ml.dataset.impl.bootstrapping.BootstrappedVector: Deprecated.

Creates an instance of BootstrappedVector.
BootstrappedVectorsHistogram - Class in org.apache.ignite.ml.tree.randomforest.data.impurity.basic: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
BootstrappedVectorsHistogram(Set<Integer>, BucketMeta, int) - Constructor for class org.apache.ignite.ml.tree.randomforest.data.impurity.basic.BootstrappedVectorsHistogram: Deprecated.

Creates an instance of BootstrappedVectorsHistogram.
BruteForceStrategy - Class in org.apache.ignite.ml.selection.paramgrid: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
BruteForceStrategy() - Constructor for class org.apache.ignite.ml.selection.paramgrid.BruteForceStrategy: Deprecated.
bucketIds - Variable in class org.apache.ignite.ml.tree.randomforest.data.impurity.basic.BootstrappedVectorsHistogram: Deprecated.

Bucket ids.
bucketIds - Variable in class org.apache.ignite.ml.tree.randomforest.data.impurity.ImpurityHistogram: Deprecated.

Bucket ids.
bucketIdToValue(int) - Method in class org.apache.ignite.ml.dataset.feature.BucketMeta: Deprecated.

Returns mean value by bucket id.
BucketMeta - Class in org.apache.ignite.ml.dataset.feature: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
BucketMeta(FeatureMeta) - Constructor for class org.apache.ignite.ml.dataset.feature.BucketMeta: Deprecated.

Creates an instance of BucketMeta.
bucketMeta - Variable in class org.apache.ignite.ml.tree.randomforest.data.impurity.basic.BootstrappedVectorsHistogram: Deprecated.

Bucket meta.
buckets() - Method in interface org.apache.ignite.ml.dataset.feature.Histogram: Deprecated.
buckets() - Method in class org.apache.ignite.ml.dataset.feature.ObjectHistogram: Deprecated.
buckets() - Method in class org.apache.ignite.ml.tree.randomforest.data.impurity.GiniHistogram: Deprecated.
buckets() - Method in class org.apache.ignite.ml.tree.randomforest.data.impurity.MSEHistogram: Deprecated.
build(LearningEnvironmentBuilder, PartitionContextBuilder<K, V, C>, PartitionDataBuilder<K, V, C, D>, LearningEnvironment) - Method in interface org.apache.ignite.ml.dataset.DatasetBuilder: Deprecated.

Constructs a new instance of Dataset that includes allocation required data structures and initialization of context part of partitions.
build(LearningEnvironment, Iterator<UpstreamEntry<K, V>>, long, EmptyContext) - Method in class org.apache.ignite.ml.dataset.impl.bootstrapping.BootstrappedDatasetBuilder: Deprecated.

Builds a new partition data from a partition upstream data and partition context.
build(LearningEnvironmentBuilder, PartitionContextBuilder<K, V, C>, PartitionDataBuilder<K, V, C, D>, LearningEnvironment) - Method in class org.apache.ignite.ml.dataset.impl.cache.CacheBasedDatasetBuilder: Deprecated.

Constructs a new instance of Dataset that includes allocation required data structures and initialization of context part of partitions.
build(LearningEnvironmentBuilder, PartitionContextBuilder<K, V, C>, PartitionDataBuilder<K, V, C, D>, LearningEnvironment) - Method in class org.apache.ignite.ml.dataset.impl.local.LocalDatasetBuilder: Deprecated.

Constructs a new instance of Dataset that includes allocation required data structures and initialization of context part of partitions.
build(LearningEnvironment, Iterator<UpstreamEntry<K, V>>, long) - Method in interface org.apache.ignite.ml.dataset.PartitionContextBuilder: Deprecated.

Builds a new partition context from an upstream data.
build(LearningEnvironment, Stream<UpstreamEntry<K, V>>, long) - Method in interface org.apache.ignite.ml.dataset.PartitionContextBuilder: Deprecated.

Builds a new partition context from an upstream data.
build(LearningEnvironment, Iterator<UpstreamEntry<K, V>>, long, C) - Method in interface org.apache.ignite.ml.dataset.PartitionDataBuilder: Deprecated.

Builds a new partition data from a partition upstream data and partition context.
build(LearningEnvironment, Stream<UpstreamEntry<K, V>>, long, C) - Method in interface org.apache.ignite.ml.dataset.PartitionDataBuilder: Deprecated.

Builds a new partition data from a partition upstream data and partition context.
build(LearningEnvironment, Iterator<UpstreamEntry<K, V>>, long) - Method in class org.apache.ignite.ml.dataset.primitive.builder.context.EmptyContextBuilder: Deprecated.

Builds a new partition context from an upstream data.
build(LearningEnvironment, Iterator<UpstreamEntry<K, V>>, long, C) - Method in class org.apache.ignite.ml.dataset.primitive.builder.data.SimpleDatasetDataBuilder: Deprecated.

Builds a new partition data from a partition upstream data and partition context.
build(LearningEnvironment, Iterator<UpstreamEntry<K, V>>, long, C) - Method in class org.apache.ignite.ml.dataset.primitive.builder.data.SimpleLabeledDatasetDataBuilder: Deprecated.

Builds a new partition data from a partition upstream data and partition context.
build(LearningEnvironment, Iterator<UpstreamEntry<K, V>>, long, C) - Method in class org.apache.ignite.ml.dataset.primitive.FeatureMatrixWithLabelsOnHeapDataBuilder: Deprecated.

Builds a new partition data from a partition upstream data and partition context.
build(LearningEnvironment) - Method in interface org.apache.ignite.ml.dataset.UpstreamTransformerBuilder: Deprecated.

Create UpstreamTransformer based on learning environment.
build(ModelReader, ModelParser<I, O, ?>) - Method in interface org.apache.ignite.ml.inference.builder.AsyncModelBuilder: Deprecated.

Builds asynchronous inference model using specified model reader and model parser.
build(ModelReader, ModelParser<I, O, ?>) - Method in class org.apache.ignite.ml.inference.builder.IgniteDistributedModelBuilder: Deprecated.

Starts the specified in constructor number of service instances and request/response queues.
build(ModelReader, ModelParser<I, O, M>) - Method in class org.apache.ignite.ml.inference.builder.SingleModelBuilder: Deprecated.

Builds synchronous inference model using specified model reader and model parser.
build(ModelReader, ModelParser<I, O, M>) - Method in interface org.apache.ignite.ml.inference.builder.SyncModelBuilder: Deprecated.

Builds synchronous inference model using specified model reader and model parser.
build(ModelReader, ModelParser<I, O, ?>) - Method in class org.apache.ignite.ml.inference.builder.ThreadedModelBuilder: Deprecated.

Builds asynchronous inference model using specified model reader and model parser.
build(LearningEnvironment, Iterator<UpstreamEntry<K, V>>, long, EmptyContext) - Method in class org.apache.ignite.ml.knn.KNNPartitionDataBuilder: Deprecated.

Builds a new partition data from a partition upstream data and partition context.
build(LearningEnvironment, Iterator<UpstreamEntry<Object, BinaryObject>>, long, EmptyContext) - Method in class org.apache.ignite.ml.recommendation.util.RecommendationBinaryDatasetDataBuilder: Deprecated.

Builds a new partition data from a partition upstream data and partition context.
build(LearningEnvironment, Iterator<UpstreamEntry<K, Z>>, long, EmptyContext) - Method in class org.apache.ignite.ml.recommendation.util.RecommendationDatasetDataBuilder: Deprecated.

Builds a new partition data from a partition upstream data and partition context.
build(LearningEnvironment, Iterator<UpstreamEntry<K, V>>, long, C) - Method in class org.apache.ignite.ml.structures.partition.LabeledDatasetPartitionDataBuilderOnHeap: Deprecated.

Builds a new partition data from a partition upstream data and partition context.
build(LearningEnvironment, Iterator<UpstreamEntry<K, V>>, long, C) - Method in class org.apache.ignite.ml.structures.partition.LabelPartitionDataBuilderOnHeap: Deprecated.

Builds a new partition data from a partition upstream data and partition context.
build(LearningEnvironment, Iterator<UpstreamEntry<K, V>>, long, C) - Method in class org.apache.ignite.ml.tree.data.DecisionTreeDataBuilder: Deprecated.

Builds a new partition data from a partition upstream data and partition context.
build() - Method in class org.apache.ignite.ml.util.generators.primitives.vector.VectorGeneratorsFamily.Builder: Deprecated.

Builds VectorGeneratorsFamily instance.
build(long) - Method in class org.apache.ignite.ml.util.generators.primitives.vector.VectorGeneratorsFamily.Builder: Deprecated.

Builds VectorGeneratorsFamily instance.
build() - Method in class org.apache.ignite.ml.util.generators.standard.GaussianMixtureDataStream.Builder: Deprecated.
build(long) - Method in class org.apache.ignite.ml.util.generators.standard.GaussianMixtureDataStream.Builder: Deprecated.
buildBaseModelTrainer() - Method in class org.apache.ignite.ml.composition.boosting.GDBTrainer: Deprecated.

Returns regressor model trainer for one step of GDB.
buildBaseModelTrainer() - Method in class org.apache.ignite.ml.tree.boosting.GDBBinaryClassifierOnTreesTrainer: Deprecated.

Returns regressor model trainer for one step of GDB.
buildBaseModelTrainer() - Method in class org.apache.ignite.ml.tree.boosting.GDBRegressionOnTreesTrainer: Deprecated.

Returns regressor model trainer for one step of GDB.
buildComposition(List<TreeRoot>) - Method in class org.apache.ignite.ml.tree.randomforest.RandomForestClassifierTrainer: Deprecated.

Returns composition of built trees.
buildComposition(List<TreeRoot>) - Method in class org.apache.ignite.ml.tree.randomforest.RandomForestRegressionTrainer: Deprecated.

Returns composition of built trees.
buildComposition(List<TreeRoot>) - Method in class org.apache.ignite.ml.tree.randomforest.RandomForestTrainer: Deprecated.

Returns composition of built trees.
buildDataset(LearningEnvironmentBuilder, DatasetBuilder<K, V>, Preprocessor<K, V>) - Static method in class org.apache.ignite.ml.knn.utils.KNNUtils: Deprecated.

Builds dataset.
builder(double, int) - Static method in class org.apache.ignite.ml.trainers.transformers.BaggingUpstreamTransformer: Deprecated.

Get builder of BaggingUpstreamTransformer for a model with a specified index in ensemble.
Builder() - Constructor for class org.apache.ignite.ml.util.generators.primitives.vector.VectorGeneratorsFamily.Builder: Deprecated.
Builder() - Constructor for class org.apache.ignite.ml.util.generators.standard.GaussianMixtureDataStream.Builder: Deprecated.
builder(String, boolean) - Static method in class org.apache.ignite.ml.util.ModelTrace: Deprecated.

Creates an instance of ModelTrace.
builder(String) - Static method in class org.apache.ignite.ml.util.ModelTrace: Deprecated.

Creates an instance of ModelTrace.
buildForTrainer() - Method in interface org.apache.ignite.ml.environment.LearningEnvironmentBuilder: Deprecated.

Builds learning environment for trainer.
buildForWorker(int) - Method in class org.apache.ignite.ml.environment.DefaultLearningEnvironmentBuilder: Deprecated.

Builds LearningEnvironment for worker on given partition.
buildForWorker(int) - Method in interface org.apache.ignite.ml.environment.LearningEnvironmentBuilder: Deprecated.

Builds LearningEnvironment for worker on given partition.
buildLabeledDatasetOnListOfVectors(List<LabeledVector>) - Method in class org.apache.ignite.ml.knn.NNClassificationModel: Deprecated.

C

CacheBasedDataset<K,V,C extends Serializable,D extends AutoCloseable> - Class in org.apache.ignite.ml.dataset.impl.cache: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
CacheBasedDataset(Ignite, IgniteCache<K, V>, IgniteBiPredicate<K, V>, UpstreamTransformerBuilder, IgniteCache<Integer, C>, LearningEnvironmentBuilder, PartitionDataBuilder<K, V, C, D>, UUID, boolean, LearningEnvironment, int) - Constructor for class org.apache.ignite.ml.dataset.impl.cache.CacheBasedDataset: Deprecated.

Constructs a new instance of dataset based on Ignite Cache, which is used as upstream and as reliable storage for partition context as well.
CacheBasedDatasetBuilder<K,V> - Class in org.apache.ignite.ml.dataset.impl.cache: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
CacheBasedDatasetBuilder(Ignite, IgniteCache<K, V>) - Constructor for class org.apache.ignite.ml.dataset.impl.cache.CacheBasedDatasetBuilder: Deprecated.

Constructs a new instance of cache based dataset builder that makes CacheBasedDataset with default predicate that passes all upstream entries to dataset.
CacheBasedDatasetBuilder(Ignite, IgniteCache<K, V>, IgniteBiPredicate<K, V>) - Constructor for class org.apache.ignite.ml.dataset.impl.cache.CacheBasedDatasetBuilder: Deprecated.

Constructs a new instance of cache based dataset builder that makes CacheBasedDataset.
CacheBasedDatasetBuilder(Ignite, IgniteCache<K, V>, IgniteBiPredicate<K, V>, UpstreamTransformerBuilder) - Constructor for class org.apache.ignite.ml.dataset.impl.cache.CacheBasedDatasetBuilder: Deprecated.

Constructs a new instance of cache based dataset builder that makes CacheBasedDataset.
CacheBasedDatasetBuilder(Ignite, IgniteCache<K, V>, IgniteBiPredicate<K, V>, UpstreamTransformerBuilder, Boolean, int) - Constructor for class org.apache.ignite.ml.dataset.impl.cache.CacheBasedDatasetBuilder: Deprecated.

Constructs a new instance of cache based dataset builder that makes CacheBasedDataset.
CacheBasedLabelPairCursor<L,K,V> - Class in org.apache.ignite.ml.selection.scoring.cursor: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
CacheBasedLabelPairCursor(IgniteCache<K, V>, IgniteBiPredicate<K, V>, Preprocessor<K, V>, IgniteModel<Vector, L>) - Constructor for class org.apache.ignite.ml.selection.scoring.cursor.CacheBasedLabelPairCursor: Deprecated.

Constructs a new instance of cache based truth with prediction cursor.
CacheBasedLabelPairCursor(IgniteCache<K, V>, Preprocessor<K, V>, IgniteModel<Vector, L>) - Constructor for class org.apache.ignite.ml.selection.scoring.cursor.CacheBasedLabelPairCursor: Deprecated.

Constructs a new instance of cache based truth with prediction cursor.
calculate(DecisionTreeData, TreeFilter, int) - Method in class org.apache.ignite.ml.tree.impurity.gini.GiniImpurityMeasureCalculator: Deprecated.

Calculates all impurity measures required required to find a best split and returns them as an array of StepFunction (for every column).
calculate(DecisionTreeData, TreeFilter, int) - Method in class org.apache.ignite.ml.tree.impurity.ImpurityMeasureCalculator: Deprecated.

Calculates all impurity measures required required to find a best split and returns them as an array of StepFunction (for every column).
calculate(DecisionTreeData, TreeFilter, int) - Method in class org.apache.ignite.ml.tree.impurity.mse.MSEImpurityMeasureCalculator: Deprecated.

Calculates all impurity measures required required to find a best split and returns them as an array of StepFunction (for every column).
calculateFitnessForAll(Function<Chromosome, Double>) - Method in class org.apache.ignite.ml.util.genetic.Population: Deprecated.

Calculates fintness for all chromosomes with custom fitness function.
calculateFitnessForChromosome(int, Function<Chromosome, Double>) - Method in class org.apache.ignite.ml.util.genetic.Population: Deprecated.

Calculates fitness for chromosome found by index with custom fitness function.
calculateGradient(Map<O, Vector>, Map<S, Vector>, int, int, double, double) - Method in class org.apache.ignite.ml.recommendation.util.RecommendationDatasetData: Deprecated.

Calculates gradient of the loss function of recommendation system SGD training.
calculateNewUpdate(M, NesterovParameterUpdate, int, Matrix, Matrix) - Method in class org.apache.ignite.ml.optimization.updatecalculators.NesterovUpdateCalculator: Deprecated.

Calculate new update.
calculateNewUpdate(M, P, int, Matrix, Matrix) - Method in interface org.apache.ignite.ml.optimization.updatecalculators.ParameterUpdateCalculator: Deprecated.

Calculate new update.
calculateNewUpdate(SmoothParametrized, RPropParameterUpdate, int, Matrix, Matrix) - Method in class org.apache.ignite.ml.optimization.updatecalculators.RPropUpdateCalculator: Deprecated.

Calculate new update.
calculateNewUpdate(SmoothParametrized, SimpleGDParameterUpdate, int, Matrix, Matrix) - Method in class org.apache.ignite.ml.optimization.updatecalculators.SimpleGDUpdateCalculator: Deprecated.

Calculate new update.
calculateROCAUC(PriorityQueue<Pair<Double, Double>>, long, long, double) - Static method in class org.apache.ignite.ml.selection.scoring.metric.classification.ROCAUC: Deprecated.

Calculates the ROC AUC value based on queue of pairs, amount of positive/negative cases and label of positive class.
call(long, byte, BinaryRawReader) - Method in class org.apache.ignite.ml.inference.storage.model.thinclient.ModelStorateThinClientProcessor: Deprecated.
cancel(boolean) - Method in class org.apache.ignite.ml.environment.parallelism.DefaultParallelismStrategy.FutureWrapper: Deprecated.
cancel(boolean) - Method in class org.apache.ignite.ml.environment.parallelism.NoParallelismStrategy.Stub: Deprecated.
CardinalityException - Exception in org.apache.ignite.ml.math.exceptions: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
CardinalityException(int, int) - Constructor for exception org.apache.ignite.ml.math.exceptions.CardinalityException: Deprecated.

Creates new cardinality violation exception.
categoryFrequencies() - Method in class org.apache.ignite.ml.preprocessing.encoding.EncoderPartitionData: Deprecated.

Gets the array of maps of frequencies by value in partition for each feature in the dataset.
CentroidStat() - Constructor for class org.apache.ignite.ml.knn.ann.ANNClassificationTrainer.CentroidStat: Deprecated.
checkAndReturnSplitValue(int, double, double, double) - Method in class org.apache.ignite.ml.tree.randomforest.data.impurity.ImpurityHistogram: Deprecated.

Checks split value validity and return Optional-wrap of it.
checkCardinality(Matrix, Vector) - Static method in class org.apache.ignite.ml.math.Blas: Deprecated.

Checks if Matrix A can be multiplied by vector v, if not CardinalityException is thrown.
checkCardinality(Vector) - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.
checkCardinality(double[]) - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.
checkCardinality(int[]) - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.
checkConvergenceStgyFactory - Variable in class org.apache.ignite.ml.composition.boosting.GDBLearningStrategy: Deprecated.

Check convergence strategy factory.
checkConvergenceStgyFactory - Variable in class org.apache.ignite.ml.composition.boosting.GDBTrainer: Deprecated.

Check convergence strategy factory.
checkIndex(int) - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.

Check index bounds.
Chromosome - Class in org.apache.ignite.ml.genetic: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
Chromosome(long[]) - Constructor for class org.apache.ignite.ml.genetic.Chromosome: Deprecated.
Chromosome - Class in org.apache.ignite.ml.util.genetic: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
Chromosome(int) - Constructor for class org.apache.ignite.ml.util.genetic.Chromosome: Deprecated.
Chromosome(Double[]) - Constructor for class org.apache.ignite.ml.util.genetic.Chromosome: Deprecated.
ChromosomeCriteria - Class in org.apache.ignite.ml.genetic.parameter: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
ChromosomeCriteria() - Constructor for class org.apache.ignite.ml.genetic.parameter.ChromosomeCriteria: Deprecated.
circle(double) - Static method in class org.apache.ignite.ml.util.generators.primitives.vector.VectorGeneratorPrimitives: Deprecated.

Returns vector generator of 2D-vectors from circle-like distribution around zero.
circle(double, long) - Static method in class org.apache.ignite.ml.util.generators.primitives.vector.VectorGeneratorPrimitives: Deprecated.

Returns vector generator of 2D-vectors from circle-like distribution around zero.
ClassifierLeafValuesComputer - Class in org.apache.ignite.ml.tree.randomforest.data.statistics: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
ClassifierLeafValuesComputer(Map<Double, Integer>) - Constructor for class org.apache.ignite.ml.tree.randomforest.data.statistics.ClassifierLeafValuesComputer: Deprecated.

Creates an instance of ClassifierLeafValuesComputer.
ClassMetric<L> - Class in org.apache.ignite.ml.selection.scoring.metric.classification: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
ClassMetric(L) - Constructor for class org.apache.ignite.ml.selection.scoring.metric.classification.ClassMetric: Deprecated.

The class of interest or positive class.
clientClassLoader() - Method in interface org.apache.ignite.ml.environment.deploy.DeployingContext: Deprecated.
clientClassLoader() - Method in class org.apache.ignite.ml.environment.deploy.DeployingContextImpl: Deprecated.
close() - Method in class org.apache.ignite.ml.composition.bagging.BaggedModel: Deprecated.
close() - Method in class org.apache.ignite.ml.composition.combinators.parallel.ModelsParallelComposition: Deprecated.
close() - Method in class org.apache.ignite.ml.composition.combinators.sequential.ModelsSequentialComposition: Deprecated.
close() - Method in class org.apache.ignite.ml.composition.stacking.StackedModel: Deprecated.
close() - Method in class org.apache.ignite.ml.dataset.impl.bootstrapping.BootstrappedDatasetPartition: Deprecated.
close() - Method in class org.apache.ignite.ml.dataset.impl.cache.CacheBasedDataset: Deprecated.
close() - Method in class org.apache.ignite.ml.dataset.impl.local.LocalDataset: Deprecated.
close() - Method in class org.apache.ignite.ml.dataset.primitive.data.SimpleDatasetData: Deprecated.
close() - Method in class org.apache.ignite.ml.dataset.primitive.data.SimpleLabeledDatasetData: Deprecated.
close() - Method in class org.apache.ignite.ml.dataset.primitive.DatasetWrapper: Deprecated.
close() - Method in class org.apache.ignite.ml.dataset.primitive.FeatureMatrixWithLabelsOnHeapData: Deprecated.
close() - Method in interface org.apache.ignite.ml.IgniteModel: Deprecated.
close() - Method in interface org.apache.ignite.ml.inference.Model: Deprecated.
close() - Method in class org.apache.ignite.ml.knn.KNNModel: Deprecated.
close() - Method in interface org.apache.ignite.ml.knn.utils.indices.SpatialIndex: Deprecated.
close() - Method in class org.apache.ignite.ml.math.isolve.lsqr.LSQROnHeap: Deprecated.
close() - Method in class org.apache.ignite.ml.math.primitives.matrix.LUDecomposition: Deprecated.

Destroys decomposition components and other internal components of decomposition.
close() - Method in class org.apache.ignite.ml.naivebayes.discrete.DiscreteNaiveBayesSumsHolder: Deprecated.
close() - Method in class org.apache.ignite.ml.preprocessing.encoding.EncoderPartitionData: Deprecated.
close() - Method in class org.apache.ignite.ml.preprocessing.imputing.ImputerPartitionData: Deprecated.
close() - Method in class org.apache.ignite.ml.preprocessing.maxabsscaling.MaxAbsScalerPartitionData: Deprecated.
close() - Method in class org.apache.ignite.ml.preprocessing.minmaxscaling.MinMaxScalerPartitionData: Deprecated.
close() - Method in class org.apache.ignite.ml.preprocessing.standardscaling.StandardScalerData: Deprecated.
close() - Method in class org.apache.ignite.ml.recommendation.util.RecommendationDatasetData: Deprecated.
close() - Method in class org.apache.ignite.ml.selection.scoring.cursor.CacheBasedLabelPairCursor: Deprecated.
close() - Method in class org.apache.ignite.ml.selection.scoring.cursor.LocalLabelPairCursor: Deprecated.
close() - Method in class org.apache.ignite.ml.structures.LabeledVectorSet: Deprecated.

Closes LabeledDataset.
close() - Method in class org.apache.ignite.ml.structures.partition.LabelPartitionDataOnHeap: Deprecated.
close() - Method in class org.apache.ignite.ml.tree.data.DecisionTreeData: Deprecated.
clsLb - Variable in class org.apache.ignite.ml.selection.scoring.metric.classification.ClassMetric: Deprecated.

Class label.
cluster(P, int) - Method in interface org.apache.ignite.ml.clustering.kmeans.Clusterer: Deprecated.

Cluster given points set into k clusters.
Clusterer<P,M extends IgniteModel> - Interface in org.apache.ignite.ml.clustering.kmeans: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
ClusterizationModel<P,V> - Interface in org.apache.ignite.ml.clustering.kmeans: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
cntOfIterations - Variable in class org.apache.ignite.ml.composition.boosting.GDBLearningStrategy: Deprecated.

Count of iterations.
colSize - Variable in class org.apache.ignite.ml.structures.Dataset: Deprecated.

Amount of attributes in each vector.
colSize() - Method in class org.apache.ignite.ml.structures.Dataset: Deprecated.

Gets amount of attributes.
column() - Method in interface org.apache.ignite.ml.math.primitives.matrix.Matrix.Element: Deprecated.

Gets element's column index.
COLUMN_STORAGE_MODE - Static variable in interface org.apache.ignite.ml.math.StorageConstants: Deprecated.

Storage mode optimized for column access.
ColumnIndexException - Exception in org.apache.ignite.ml.math.exceptions: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
ColumnIndexException(int) - Constructor for exception org.apache.ignite.ml.math.exceptions.ColumnIndexException: Deprecated.
columnOffset() - Method in class org.apache.ignite.ml.math.primitives.matrix.storage.ViewMatrixStorage: Deprecated.
columnsCount() - Method in class org.apache.ignite.ml.tree.data.TreeDataIndex: Deprecated.
columnsCount(DecisionTreeData, TreeDataIndex) - Method in class org.apache.ignite.ml.tree.impurity.ImpurityMeasureCalculator: Deprecated.

Returns columns count in current dataset.
columnSize() - Method in class org.apache.ignite.ml.math.primitives.matrix.AbstractMatrix: Deprecated.

Gets number of columns in this matrix.
columnSize() - Method in interface org.apache.ignite.ml.math.primitives.matrix.Matrix: Deprecated.

Gets number of columns in this matrix.
columnSize() - Method in interface org.apache.ignite.ml.math.primitives.matrix.MatrixStorage: Deprecated.
columnSize() - Method in class org.apache.ignite.ml.math.primitives.matrix.storage.DenseMatrixStorage: Deprecated.
columnSize() - Method in class org.apache.ignite.ml.math.primitives.matrix.storage.SparseMatrixStorage: Deprecated.
columnSize() - Method in class org.apache.ignite.ml.math.primitives.matrix.storage.ViewMatrixStorage: Deprecated.
columnsLength() - Method in class org.apache.ignite.ml.math.primitives.matrix.storage.ViewMatrixStorage: Deprecated.
combine(IgniteModel<T, W>, BiFunction<V, W, X>) - Method in interface org.apache.ignite.ml.IgniteModel: Deprecated.

Combines this model with other model via specified combiner
COMPARE - Static variable in class org.apache.ignite.ml.math.functions.Functions: Deprecated.

Function that returns {@code a < b ?
compareTo(PointWithDistance) - Method in class org.apache.ignite.ml.knn.utils.PointWithDistance: Deprecated.
compareTo(T) - Method in interface org.apache.ignite.ml.tree.impurity.ImpurityMeasure: Deprecated.
compareTo(Object) - Method in class org.apache.ignite.ml.util.genetic.Chromosome: Deprecated.
componentsProbs() - Method in class org.apache.ignite.ml.math.stat.DistributionMixture: Deprecated.
CompositionUtils - Class in org.apache.ignite.ml.composition: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
CompositionUtils() - Constructor for class org.apache.ignite.ml.composition.CompositionUtils: Deprecated.
compositionWeights - Variable in class org.apache.ignite.ml.composition.boosting.GDBLearningStrategy: Deprecated.

Composition weights.
compress(StepFunction<T>) - Method in class org.apache.ignite.ml.tree.impurity.util.SimpleStepFunctionCompressor: Deprecated.

Compresses the given step function.
compress(StepFunction<T>) - Method in interface org.apache.ignite.ml.tree.impurity.util.StepFunctionCompressor: Deprecated.

Compresses the given step function.
compress(StepFunction<T>[]) - Method in interface org.apache.ignite.ml.tree.impurity.util.StepFunctionCompressor: Deprecated.

Compresses every step function in the given array.
compute(IgniteBiFunction<D, LearningEnvironment, R>, IgniteBinaryOperator<R>, R) - Method in interface org.apache.ignite.ml.dataset.Dataset: Deprecated.

Applies the specified map function to every partition data and LearningEnvironment in the dataset and then reduces map results to final result by using the reduce function.
compute(IgniteBiFunction<D, LearningEnvironment, R>, IgniteBinaryOperator<R>) - Method in interface org.apache.ignite.ml.dataset.Dataset: Deprecated.

Applies the specified map function to every partition data and LearningEnvironment in the dataset and then reduces map results to final result by using the reduce function.
compute(IgniteFunction<D, R>, IgniteBinaryOperator<R>, R) - Method in interface org.apache.ignite.ml.dataset.Dataset: Deprecated.

Applies the specified map function to every partition data in the dataset and then reduces map results to final result by using the reduce function.
compute(IgniteFunction<D, R>, IgniteBinaryOperator<R>) - Method in interface org.apache.ignite.ml.dataset.Dataset: Deprecated.

Applies the specified map function to every partition data in the dataset and then reduces map results to final result by using the reduce function.
compute(IgniteBiConsumer<D, LearningEnvironment>) - Method in interface org.apache.ignite.ml.dataset.Dataset: Deprecated.

Applies the specified map function to every partition data in the dataset and LearningEnvironment.
compute(IgniteConsumer<D>) - Method in interface org.apache.ignite.ml.dataset.Dataset: Deprecated.

Applies the specified map function to every partition data in the dataset.
compute(IgniteBiFunction<D, LearningEnvironment, R>, IgniteBinaryOperator<R>, R) - Method in class org.apache.ignite.ml.dataset.impl.cache.CacheBasedDataset: Deprecated.

Applies the specified map function to every partition data and LearningEnvironment in the dataset and then reduces map results to final result by using the reduce function.
compute(IgniteBiFunction<D, LearningEnvironment, R>, IgniteBinaryOperator<R>, R) - Method in class org.apache.ignite.ml.dataset.impl.local.LocalDataset: Deprecated.

Applies the specified map function to every partition data and LearningEnvironment in the dataset and then reduces map results to final result by using the reduce function.
compute(IgniteBiFunction<D, LearningEnvironment, R>, IgniteBinaryOperator<R>, R) - Method in class org.apache.ignite.ml.dataset.primitive.DatasetWrapper: Deprecated.

Applies the specified map function to every partition data and LearningEnvironment in the dataset and then reduces map results to final result by using the reduce function.
compute(Vector, Vector) - Method in interface org.apache.ignite.ml.math.distances.DistanceMeasure: Deprecated.

Compute the distance between two n-dimensional vectors.
compute(Vector, double[]) - Method in interface org.apache.ignite.ml.math.distances.DistanceMeasure: Deprecated.

Compute the distance between n-dimensional vector and n-dimensional array.
compute(Vector, Vector) - Method in class org.apache.ignite.ml.math.distances.EuclideanDistance: Deprecated.

Compute the distance between two n-dimensional vectors.
compute(Vector, double[]) - Method in class org.apache.ignite.ml.math.distances.EuclideanDistance: Deprecated.

Compute the distance between n-dimensional vector and n-dimensional array.
compute(Vector, Vector) - Method in class org.apache.ignite.ml.math.distances.HammingDistance: Deprecated.

Compute the distance between two n-dimensional vectors.
compute(Vector, double[]) - Method in class org.apache.ignite.ml.math.distances.HammingDistance: Deprecated.

Compute the distance between n-dimensional vector and n-dimensional array.
compute(Vector, Vector) - Method in class org.apache.ignite.ml.math.distances.ManhattanDistance: Deprecated.

Compute the distance between two n-dimensional vectors.
compute(Vector, double[]) - Method in class org.apache.ignite.ml.math.distances.ManhattanDistance: Deprecated.

Compute the distance between n-dimensional vector and n-dimensional array.
compute(int, int, IgniteTriFunction<Integer, Integer, Double, Double>) - Method in class org.apache.ignite.ml.math.primitives.matrix.AbstractMatrix: Deprecated.

Replace matrix entry with value oldVal at (row, col) with result of computing f(row, col, oldVal).
compute(int, int, IgniteTriFunction<Integer, Integer, Double, Double>) - Method in class org.apache.ignite.ml.math.primitives.matrix.impl.SparseMatrix: Deprecated.

Replace matrix entry with value oldVal at (row, col) with result of computing f(row, col, oldVal).
compute(int, int, IgniteTriFunction<Integer, Integer, Double, Double>) - Method in interface org.apache.ignite.ml.math.primitives.matrix.Matrix: Deprecated.

Replace matrix entry with value oldVal at (row, col) with result of computing f(row, col, oldVal).
compute(int, int, IgniteTriFunction<Integer, Integer, Double, Double>) - Method in class org.apache.ignite.ml.math.primitives.matrix.storage.SparseMatrixStorage: Deprecated.
compute(int, IgniteIntDoubleToDoubleBiFunction) - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.

Replace vector entry with value oldVal at i with result of computing f(i, oldVal).
compute(int, IgniteIntDoubleToDoubleBiFunction) - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingVector: Deprecated.

Replace vector entry with value oldVal at i with result of computing f(i, oldVal).
compute(int, IgniteIntDoubleToDoubleBiFunction) - Method in interface org.apache.ignite.ml.math.primitives.vector.Vector: Deprecated.

Replace vector entry with value oldVal at i with result of computing f(i, oldVal).
computeDistributionFunction() - Method in interface org.apache.ignite.ml.dataset.feature.DistributionComputer: Deprecated.

Compute distribution function.
computeDistributionFunction() - Method in class org.apache.ignite.ml.dataset.feature.ObjectHistogram: Deprecated.

Compute distribution function.
computeError(Vector, Double, ModelsComposition) - Method in class org.apache.ignite.ml.composition.boosting.convergence.ConvergenceChecker: Deprecated.

Compute error for the specific vector of dataset.
computeInitialValue(LearningEnvironmentBuilder, DatasetBuilder<K, V>, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.composition.boosting.GDBTrainer: Deprecated.

Compute mean value of label as first approximation.
computeLeafValue(ObjectHistogram<BootstrappedVector>) - Method in class org.apache.ignite.ml.tree.randomforest.data.statistics.ClassifierLeafValuesComputer: Deprecated.

Returns the most frequent value in according to statistic.
computeLeafValue(T) - Method in class org.apache.ignite.ml.tree.randomforest.data.statistics.LeafValuesComputer: Deprecated.

Compute value from leaf based on statistics on labels corresponds to leaf.
computeLeafValue(MeanValueStatistic) - Method in class org.apache.ignite.ml.tree.randomforest.data.statistics.RegressionLeafValuesComputer: Deprecated.

Returns the mean value in according to statistic.
computeMeanErrorOnDataset(Dataset<EmptyContext, ? extends FeatureMatrixWithLabelsOnHeapData>, ModelsComposition) - Method in class org.apache.ignite.ml.composition.boosting.convergence.ConvergenceChecker: Deprecated.

Compute error for given model on learning dataset.
computeMeanErrorOnDataset(Dataset<EmptyContext, ? extends FeatureMatrixWithLabelsOnHeapData>, ModelsComposition) - Method in class org.apache.ignite.ml.composition.boosting.convergence.mean.MeanAbsValueConvergenceChecker: Deprecated.

Compute error for given model on learning dataset.
computeMeanErrorOnDataset(Dataset<EmptyContext, ? extends FeatureMatrixWithLabelsOnHeapData>, ModelsComposition) - Method in class org.apache.ignite.ml.composition.boosting.convergence.median.MedianOfMedianConvergenceChecker: Deprecated.

Compute error for given model on learning dataset.
computeMeanErrorOnDataset(Dataset<EmptyContext, ? extends FeatureMatrixWithLabelsOnHeapData>, ModelsComposition) - Method in class org.apache.ignite.ml.composition.boosting.convergence.simple.ConvergenceCheckerStub: Deprecated.

Compute error for given model on learning dataset.
computeState(Matrix) - Method in class org.apache.ignite.ml.nn.MultilayerPerceptron: Deprecated.

Perform forward pass and return state of outputs of each layer.
computeStatistics(List<FeatureMeta>, Dataset<EmptyContext, BootstrappedDatasetPartition>) - Method in class org.apache.ignite.ml.tree.randomforest.data.statistics.NormalDistributionStatisticsComputer: Deprecated.

Computes statistics of normal distribution on features in dataset.
computeStatsOnPartition(BootstrappedDatasetPartition, List<FeatureMeta>) - Method in class org.apache.ignite.ml.tree.randomforest.data.statistics.NormalDistributionStatisticsComputer: Deprecated.

Aggregates normal distribution statistics for continual features in dataset partition.
ComputeUtils - Class in org.apache.ignite.ml.dataset.impl.cache.util: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
ComputeUtils() - Constructor for class org.apache.ignite.ml.dataset.impl.cache.util.ComputeUtils: Deprecated.
computeWithCtx(IgniteTriFunction<C, D, LearningEnvironment, R>, IgniteBinaryOperator<R>, R) - Method in interface org.apache.ignite.ml.dataset.Dataset: Deprecated.

Applies the specified map function to every partition data, context and partition index in the dataset and then reduces map results to final result by using the reduce function.
computeWithCtx(IgniteTriFunction<C, D, LearningEnvironment, R>, IgniteBinaryOperator<R>) - Method in interface org.apache.ignite.ml.dataset.Dataset: Deprecated.

Applies the specified map function to every partition data, context and LearningEnvironment in the dataset and then reduces map results to final result by using the reduce function.
computeWithCtx(IgniteBiFunction<C, D, R>, IgniteBinaryOperator<R>, R) - Method in interface org.apache.ignite.ml.dataset.Dataset: Deprecated.

Applies the specified map function to every partition data and context in the dataset and then reduces map results to final result by using the reduce function.
computeWithCtx(IgniteBiFunction<C, D, R>, IgniteBinaryOperator<R>) - Method in interface org.apache.ignite.ml.dataset.Dataset: Deprecated.

Applies the specified map function to every partition data and context in the dataset and then reduces map results to final result by using the reduce function.
computeWithCtx(IgniteTriConsumer<C, D, LearningEnvironment>) - Method in interface org.apache.ignite.ml.dataset.Dataset: Deprecated.

Applies the specified map function to every partition data, context and LearningEnvironment in the dataset.
computeWithCtx(IgniteBiConsumer<C, D>) - Method in interface org.apache.ignite.ml.dataset.Dataset: Deprecated.

Applies the specified map function to every partition data and context in the dataset.
computeWithCtx(IgniteTriFunction<C, D, LearningEnvironment, R>, IgniteBinaryOperator<R>, R) - Method in class org.apache.ignite.ml.dataset.impl.cache.CacheBasedDataset: Deprecated.

Applies the specified map function to every partition data, context and partition index in the dataset and then reduces map results to final result by using the reduce function.
computeWithCtx(IgniteTriFunction<C, D, LearningEnvironment, R>, IgniteBinaryOperator<R>, R) - Method in class org.apache.ignite.ml.dataset.impl.local.LocalDataset: Deprecated.

Applies the specified map function to every partition data, context and partition index in the dataset and then reduces map results to final result by using the reduce function.
computeWithCtx(IgniteTriFunction<C, D, LearningEnvironment, R>, IgniteBinaryOperator<R>, R) - Method in class org.apache.ignite.ml.dataset.primitive.DatasetWrapper: Deprecated.

Applies the specified map function to every partition data, context and partition index in the dataset and then reduces map results to final result by using the reduce function.
concat(Vector, Vector) - Static method in class org.apache.ignite.ml.math.primitives.vector.VectorUtils: Deprecated.

Concatenates two given vectors.
concat(Vector, Vector...) - Static method in class org.apache.ignite.ml.math.primitives.vector.VectorUtils: Deprecated.

Concatenates given vectors.
concat(Vector...) - Static method in class org.apache.ignite.ml.math.primitives.vector.VectorUtils: Deprecated.

Concatenates given vectors.
concat(VectorGenerator) - Method in interface org.apache.ignite.ml.util.generators.primitives.vector.VectorGenerator: Deprecated.

Creates new generator by concatenation of vectors of this generator and other.
concat(RandomProducer) - Method in interface org.apache.ignite.ml.util.generators.primitives.vector.VectorGenerator: Deprecated.

Creates new generator by concatenation of vectors of this generator and random producer.
ConsoleLogger - Class in org.apache.ignite.ml.environment.logging: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
ConsoleLogger.Factory - Class in org.apache.ignite.ml.environment.logging: Deprecated.

ConsoleLogger factory.
constant(Double) - Static method in class org.apache.ignite.ml.math.functions.Functions: Deprecated.

Function that returns passed constant.
constant(R) - Static method in interface org.apache.ignite.ml.math.functions.IgniteFunction: Deprecated.

IgniteFunction returning specified constant.
constant(Vector) - Static method in class org.apache.ignite.ml.util.generators.primitives.vector.VectorGeneratorPrimitives: Deprecated.
ConvergenceChecker<K,V> - Class in org.apache.ignite.ml.composition.boosting.convergence: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
ConvergenceChecker(long, IgniteFunction<Double, Double>, Loss, DatasetBuilder<K, V>, Preprocessor<K, V>, double) - Constructor for class org.apache.ignite.ml.composition.boosting.convergence.ConvergenceChecker: Deprecated.

Constructs an instance of ConvergenceChecker.
ConvergenceCheckerFactory - Class in org.apache.ignite.ml.composition.boosting.convergence: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
ConvergenceCheckerFactory(double) - Constructor for class org.apache.ignite.ml.composition.boosting.convergence.ConvergenceCheckerFactory: Deprecated.

Creates an instance of ConvergenceCheckerFactory.
ConvergenceCheckerStub<K,V> - Class in org.apache.ignite.ml.composition.boosting.convergence.simple: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
ConvergenceCheckerStub(long, IgniteFunction, Loss, DatasetBuilder, Preprocessor<K, V>, double) - Constructor for class org.apache.ignite.ml.composition.boosting.convergence.simple.ConvergenceCheckerStub: Deprecated.

Creates an instance of ConvergenceCheckerStub.
ConvergenceCheckerStubFactory - Class in org.apache.ignite.ml.composition.boosting.convergence.simple: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
ConvergenceCheckerStubFactory() - Constructor for class org.apache.ignite.ml.composition.boosting.convergence.simple.ConvergenceCheckerStubFactory: Deprecated.

Create an instance of ConvergenceCheckerStubFactory.
convertDatasetIntoModel(Dataset<EmptyContext, SpatialIndex<Double>>) - Method in class org.apache.ignite.ml.knn.classification.KNNClassificationTrainer: Deprecated.

Convers given dataset into KNN model (classification or regression depends on implementation).
convertDatasetIntoModel(Dataset<EmptyContext, SpatialIndex<Double>>) - Method in class org.apache.ignite.ml.knn.KNNTrainer: Deprecated.

Convers given dataset into KNN model (classification or regression depends on implementation).
convertDatasetIntoModel(Dataset<EmptyContext, SpatialIndex<Double>>) - Method in class org.apache.ignite.ml.knn.regression.KNNRegressionTrainer: Deprecated.

Convers given dataset into KNN model (classification or regression depends on implementation).
convertStringNamesToFeatureMetadata(String[]) - Method in class org.apache.ignite.ml.structures.Dataset: Deprecated.
copy(Vector, Vector) - Method in class org.apache.ignite.ml.math.Blas: Deprecated.

Copies Vector x into Vector y.
copy() - Method in class org.apache.ignite.ml.math.primitives.matrix.AbstractMatrix: Deprecated.

Clones this matrix.
copy() - Method in class org.apache.ignite.ml.math.primitives.matrix.impl.DenseMatrix: Deprecated.

Clones this matrix.
copy() - Method in class org.apache.ignite.ml.math.primitives.matrix.impl.SparseMatrix: Deprecated.

Clones this matrix.
copy() - Method in class org.apache.ignite.ml.math.primitives.matrix.impl.ViewMatrix: Deprecated.

Clones this matrix.
copy() - Method in interface org.apache.ignite.ml.math.primitives.matrix.Matrix: Deprecated.

Clones this matrix.
copy() - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.

Creates new copy of this vector.
copy() - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingVector: Deprecated.

Creates new copy of this vector.
copy() - Method in class org.apache.ignite.ml.math.primitives.vector.impl.VectorizedViewMatrix: Deprecated.

Creates new copy of this vector.
copy() - Method in class org.apache.ignite.ml.math.primitives.vector.impl.VectorView: Deprecated.

Creates new copy of this vector.
copy() - Method in interface org.apache.ignite.ml.math.primitives.vector.Vector: Deprecated.

Creates new copy of this vector.
copy(Matrix) - Static method in class org.apache.ignite.ml.math.util.MatrixUtil: Deprecated.

Create the copy of matrix with read-only matrices support.
copy() - Method in class org.apache.ignite.ml.structures.LabeledVectorSet: Deprecated.

Makes copy with new Label objects and old features and Metadata objects.
copy() - Method in class org.apache.ignite.ml.util.genetic.Chromosome: Deprecated.

Creates chromosome copy.
copy(T) - Static method in class org.apache.ignite.ml.util.Utils: Deprecated.

Perform deep copy of an object.
copyOfRange(int, int) - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.

Copies the specified range of the vector into a new vector.
copyOfRange(int, int) - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingVector: Deprecated.

Copies the specified range of the vector into a new vector.
copyOfRange(int, int) - Method in interface org.apache.ignite.ml.math.primitives.vector.Vector: Deprecated.

Copies the specified range of the vector into a new vector.
copyParametersFrom(NNClassificationModel) - Method in class org.apache.ignite.ml.knn.NNClassificationModel: Deprecated.

Sets parameters from other model to this model.
copyPart(Vector, int, int) - Static method in class org.apache.ignite.ml.math.primitives.vector.VectorUtils: Deprecated.

Get copy of part of given length of given vector starting from given offset.
copyright() - Method in class org.apache.ignite.ml.util.plugin.MLPluginProvider: Deprecated.
corr() - Method in class org.apache.ignite.ml.dataset.primitive.SimpleDataset: Deprecated.

Calculates correlation matrix by all columns.
counters() - Method in class org.apache.ignite.ml.dataset.impl.bootstrapping.BootstrappedVector: Deprecated.
CountersHistogram - Class in org.apache.ignite.ml.tree.randomforest.data.impurity.basic: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
CountersHistogram(Set<Integer>, BucketMeta, int, int) - Constructor for class org.apache.ignite.ml.tree.randomforest.data.impurity.basic.CountersHistogram: Deprecated.

Creates an instance of CountersHistogram.
countOfComponents() - Method in class org.apache.ignite.ml.math.stat.DistributionMixture: Deprecated.
counts() - Method in class org.apache.ignite.ml.preprocessing.imputing.ImputerPartitionData: Deprecated.

Gets the array of amounts of values in partition for each feature in the dataset.
cov() - Method in class org.apache.ignite.ml.dataset.primitive.SimpleDataset: Deprecated.

Calculates covariance matrix by all columns.
covariance() - Method in class org.apache.ignite.ml.math.stat.MultivariateGaussianDistribution: Deprecated.
CovarianceMatricesAggregator - Class in org.apache.ignite.ml.clustering.gmm: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
create(long, IgniteFunction<Double, Double>, Loss, DatasetBuilder<K, V>, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.composition.boosting.convergence.ConvergenceCheckerFactory: Deprecated.

Create an instance of ConvergenceChecker.
create(long, IgniteFunction<Double, Double>, Loss, DatasetBuilder<K, V>, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.composition.boosting.convergence.mean.MeanAbsValueConvergenceCheckerFactory: Deprecated.

Create an instance of ConvergenceChecker.
create(long, IgniteFunction<Double, Double>, Loss, DatasetBuilder<K, V>, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.composition.boosting.convergence.median.MedianOfMedianConvergenceCheckerFactory: Deprecated.

Create an instance of ConvergenceChecker.
create(long, IgniteFunction<Double, Double>, Loss, DatasetBuilder<K, V>, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.composition.boosting.convergence.simple.ConvergenceCheckerStubFactory: Deprecated.

Create an instance of ConvergenceChecker.
create(DatasetBuilder<K, V>, LearningEnvironmentBuilder, PartitionContextBuilder<K, V, C>, PartitionDataBuilder<K, V, C, D>, LearningEnvironment) - Static method in class org.apache.ignite.ml.dataset.DatasetFactory: Deprecated.

Creates a new instance of distributed dataset using the specified partCtxBuilder and partDataBuilder.
create(DatasetBuilder<K, V>, PartitionContextBuilder<K, V, C>, PartitionDataBuilder<K, V, C, D>) - Static method in class org.apache.ignite.ml.dataset.DatasetFactory: Deprecated.

Creates a new instance of distributed dataset using the specified partCtxBuilder and partDataBuilder.
create(Ignite, IgniteCache<K, V>, LearningEnvironmentBuilder, PartitionContextBuilder<K, V, C>, PartitionDataBuilder<K, V, C, D>, LearningEnvironment) - Static method in class org.apache.ignite.ml.dataset.DatasetFactory: Deprecated.

Creates a new instance of distributed dataset using the specified partCtxBuilder and partDataBuilder.
create(Ignite, IgniteCache<K, V>, PartitionContextBuilder<K, V, C>, PartitionDataBuilder<K, V, C, D>) - Static method in class org.apache.ignite.ml.dataset.DatasetFactory: Deprecated.

Creates a new instance of distributed dataset using the specified partCtxBuilder and partDataBuilder.
create(Map<K, V>, LearningEnvironmentBuilder, int, PartitionContextBuilder<K, V, C>, PartitionDataBuilder<K, V, C, D>, LearningEnvironment) - Static method in class org.apache.ignite.ml.dataset.DatasetFactory: Deprecated.

Creates a new instance of local dataset using the specified partCtxBuilder and partDataBuilder.
create() - Static method in class org.apache.ignite.ml.dataset.feature.extractor.impl.BinaryObjectVectorizer.Mapping: Deprecated.

Creates an instance of Mapping.
create(Class<T>) - Method in class org.apache.ignite.ml.environment.logging.ConsoleLogger.Factory: Deprecated.

Creates an instance of MLLogger for target class.
create(Class<T>) - Method in interface org.apache.ignite.ml.environment.logging.MLLogger.Factory: Deprecated.

Creates an instance of MLLogger for target class.
createCacheProvider(CachePluginContext) - Method in class org.apache.ignite.ml.util.plugin.MLPluginProvider: Deprecated.
createComponent(PluginContext, Class<T>) - Method in class org.apache.ignite.ml.util.plugin.MLPluginProvider: Deprecated.
createImpurityComputerForFeature(int, BucketMeta) - Method in class org.apache.ignite.ml.tree.randomforest.data.impurity.GiniHistogramsComputer: Deprecated.

Creates impurity computer in according to specific algorithm based on random forest (for example GiniHistogram for classification).
createImpurityComputerForFeature(int, BucketMeta) - Method in class org.apache.ignite.ml.tree.randomforest.data.impurity.ImpurityHistogramsComputer: Deprecated.

Creates impurity computer in according to specific algorithm based on random forest (for example GiniHistogram for classification).
createImpurityComputerForFeature(int, BucketMeta) - Method in class org.apache.ignite.ml.tree.randomforest.data.impurity.MSEHistogramComputer: Deprecated.

Creates impurity computer in according to specific algorithm based on random forest (for example GiniHistogram for classification).
createImpurityHistogramsComputer() - Method in class org.apache.ignite.ml.tree.randomforest.RandomForestClassifierTrainer: Deprecated.

Creates an instance of Histograms Computer corresponding to RF implementation.
createImpurityHistogramsComputer() - Method in class org.apache.ignite.ml.tree.randomforest.RandomForestRegressionTrainer: Deprecated.

Creates an instance of Histograms Computer corresponding to RF implementation.
createImpurityHistogramsComputer() - Method in class org.apache.ignite.ml.tree.randomforest.RandomForestTrainer: Deprecated.

Creates an instance of Histograms Computer corresponding to RF implementation.
createIndexByFilter(int, TreeFilter) - Method in class org.apache.ignite.ml.tree.data.DecisionTreeData: Deprecated.

Builds index in according to current tree depth and cached indexes in upper levels.
createLeaf(TreeNode) - Method in class org.apache.ignite.ml.tree.randomforest.data.NodeSplit: Deprecated.

Convert node to leaf.
createLeafNode(Dataset<EmptyContext, DecisionTreeData>, TreeFilter) - Method in interface org.apache.ignite.ml.tree.leaf.DecisionTreeLeafBuilder: Deprecated.

Creates new leaf node for given dataset and node predicate.
createLeafNode(Dataset<EmptyContext, DecisionTreeData>, TreeFilter) - Method in class org.apache.ignite.ml.tree.leaf.MeanDecisionTreeLeafBuilder: Deprecated.

Creates new leaf node for given dataset and node predicate.
createLeafNode(Dataset<EmptyContext, DecisionTreeData>, TreeFilter) - Method in class org.apache.ignite.ml.tree.leaf.MostCommonDecisionTreeLeafBuilder: Deprecated.

Creates new leaf node for given dataset and node predicate.
createLeafStatisticsAggregator() - Method in class org.apache.ignite.ml.tree.randomforest.RandomForestClassifierTrainer: Deprecated.

Creates an instance of Leaf Statistics Aggregator corresponding to RF implementation.
createLeafStatisticsAggregator() - Method in class org.apache.ignite.ml.tree.randomforest.RandomForestRegressionTrainer: Deprecated.

Creates an instance of Leaf Statistics Aggregator corresponding to RF implementation.
createLeafStatisticsAggregator() - Method in class org.apache.ignite.ml.tree.randomforest.RandomForestTrainer: Deprecated.

Creates an instance of Leaf Statistics Aggregator corresponding to RF implementation.
createLeafStatsAggregator(int) - Method in class org.apache.ignite.ml.tree.randomforest.data.statistics.ClassifierLeafValuesComputer: Deprecated.

Creates an instance of leaf statistics aggregator in according to concrete algorithm based on RandomForest.
createLeafStatsAggregator(int) - Method in class org.apache.ignite.ml.tree.randomforest.data.statistics.LeafValuesComputer: Deprecated.

Creates an instance of leaf statistics aggregator in according to concrete algorithm based on RandomForest.
createLeafStatsAggregator(int) - Method in class org.apache.ignite.ml.tree.randomforest.data.statistics.RegressionLeafValuesComputer: Deprecated.

Creates an instance of leaf statistics aggregator in according to concrete algorithm based on RandomForest.
createSimpleDataset(DatasetBuilder<K, V>, LearningEnvironmentBuilder, PartitionContextBuilder<K, V, C>, Preprocessor<K, V>) - Static method in class org.apache.ignite.ml.dataset.DatasetFactory: Deprecated.

Creates a new instance of distributed SimpleDataset using the specified partCtxBuilder and featureExtractor.
createSimpleDataset(Ignite, IgniteCache<K, V>, LearningEnvironmentBuilder, PartitionContextBuilder<K, V, C>, Preprocessor<K, V>) - Static method in class org.apache.ignite.ml.dataset.DatasetFactory: Deprecated.

Creates a new instance of distributed SimpleDataset using the specified partCtxBuilder and featureExtractor.
createSimpleDataset(DatasetBuilder<K, V>, LearningEnvironmentBuilder, Preprocessor<K, V>) - Static method in class org.apache.ignite.ml.dataset.DatasetFactory: Deprecated.

Creates a new instance of distributed SimpleDataset using the specified featureExtractor.
createSimpleDataset(Ignite, IgniteCache<K, V>, LearningEnvironmentBuilder, Preprocessor<K, V>) - Static method in class org.apache.ignite.ml.dataset.DatasetFactory: Deprecated.

Creates a new instance of distributed SimpleDataset using the specified featureExtractor.
createSimpleDataset(Ignite, IgniteCache<K, V>, Preprocessor<K, V>) - Static method in class org.apache.ignite.ml.dataset.DatasetFactory: Deprecated.

Creates a new instance of distributed SimpleDataset using the specified featureExtractor.
createSimpleDataset(Map<K, V>, int, LearningEnvironmentBuilder, PartitionContextBuilder<K, V, C>, Preprocessor<K, V>) - Static method in class org.apache.ignite.ml.dataset.DatasetFactory: Deprecated.

Creates a new instance of local SimpleDataset using the specified partCtxBuilder and featureExtractor.
createSimpleDataset(Map<K, V>, int, LearningEnvironmentBuilder, Preprocessor<K, V>) - Static method in class org.apache.ignite.ml.dataset.DatasetFactory: Deprecated.

Creates a new instance of local SimpleDataset using the specified featureExtractor.
createSimpleLabeledDataset(DatasetBuilder<K, V>, LearningEnvironmentBuilder, PartitionContextBuilder<K, V, C>, Preprocessor<K, V>) - Static method in class org.apache.ignite.ml.dataset.DatasetFactory: Deprecated.

Creates a new instance of distributed SimpleLabeledDataset using the specified partCtxBuilder, featureExtractor and lbExtractor.
createSimpleLabeledDataset(Ignite, IgniteCache<K, V>, LearningEnvironmentBuilder, PartitionContextBuilder<K, V, C>, Preprocessor<K, V>) - Static method in class org.apache.ignite.ml.dataset.DatasetFactory: Deprecated.

Creates a new instance of distributed SimpleLabeledDataset using the specified partCtxBuilder, featureExtractor and lbExtractor.
createSimpleLabeledDataset(DatasetBuilder<K, V>, LearningEnvironmentBuilder, Preprocessor<K, V>) - Static method in class org.apache.ignite.ml.dataset.DatasetFactory: Deprecated.

Creates a new instance of distributed SimpleLabeledDataset using the specified featureExtractor and lbExtractor.
createSimpleLabeledDataset(Ignite, LearningEnvironmentBuilder, IgniteCache<K, V>, Preprocessor<K, V>) - Static method in class org.apache.ignite.ml.dataset.DatasetFactory: Deprecated.

Creates a new instance of distributed SimpleLabeledDataset using the specified featureExtractor and lbExtractor.
createSimpleLabeledDataset(Map<K, V>, int, LearningEnvironmentBuilder, PartitionContextBuilder<K, V, C>, Preprocessor<K, V>) - Static method in class org.apache.ignite.ml.dataset.DatasetFactory: Deprecated.

Creates a new instance of local SimpleLabeledDataset using the specified partCtxBuilder, featureExtractor and lbExtractor.
createSimpleLabeledDataset(Map<K, V>, LearningEnvironmentBuilder, int, Preprocessor<K, V>) - Static method in class org.apache.ignite.ml.dataset.DatasetFactory: Deprecated.

Creates a new instance of local SimpleLabeledDataset using the specified featureExtractor and lbExtractor.
createVector(int) - Method in class org.apache.ignite.ml.dataset.feature.extractor.impl.BinaryObjectVectorizer: Deprecated.

Create an instance of vector.
createVector(int) - Method in class org.apache.ignite.ml.dataset.feature.extractor.Vectorizer: Deprecated.

Create an instance of vector.
cross(Vector) - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.

Gets the cross product of this vector and the other vector.
cross(Vector) - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingVector: Deprecated.

Gets the cross product of this vector and the other vector.
cross(Vector) - Method in interface org.apache.ignite.ml.math.primitives.vector.Vector: Deprecated.

Gets the cross product of this vector and the other vector.
CrossOverJob - Class in org.apache.ignite.ml.genetic: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
CrossOverJob(Long, Long, double) - Constructor for class org.apache.ignite.ml.genetic.CrossOverJob: Deprecated.
CrossoverStrategy - Enum in org.apache.ignite.ml.util.genetic: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
CrossOverTask - Class in org.apache.ignite.ml.genetic: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
CrossOverTask(GAConfiguration) - Constructor for class org.apache.ignite.ml.genetic.CrossOverTask: Deprecated.
CrossValidation<M extends IgniteModel<Vector,L>,L,K,V> - Class in org.apache.ignite.ml.selection.cv: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
CrossValidation() - Constructor for class org.apache.ignite.ml.selection.cv.CrossValidation: Deprecated.
CrossValidationResult - Class in org.apache.ignite.ml.selection.cv: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
CrossValidationResult() - Constructor for class org.apache.ignite.ml.selection.cv.CrossValidationResult: Deprecated.
curry(BiFunction<A, B, C>) - Static method in class org.apache.ignite.ml.math.functions.Functions: Deprecated.

Curry bi-function.
curry(IgniteBiFunction<A, B, C>) - Static method in class org.apache.ignite.ml.math.functions.Functions: Deprecated.

Transform bi-function of the form (a, b) -> c into a function of form a -> (b -> c).
curry(IgniteTriFunction<A, B, C, D>) - Static method in class org.apache.ignite.ml.math.functions.Functions: Deprecated.

Transform tri-function of the form (a, b, c) -> d into a function of form a -> (b -> (c -> d)).
CustomMLLogger - Class in org.apache.ignite.ml.environment.logging: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.

D

data() - Method in interface org.apache.ignite.ml.math.primitives.matrix.MatrixStorage: Deprecated.

Gets underlying data, if StorageOpsMetrics.isArrayBased() returns false this method return copy of data.
data() - Method in class org.apache.ignite.ml.math.primitives.matrix.storage.DenseMatrixStorage: Deprecated.

Gets underlying data, if StorageOpsMetrics.isArrayBased() returns false this method return copy of data.
data() - Method in class org.apache.ignite.ml.math.primitives.matrix.storage.SparseMatrixStorage: Deprecated.

Gets underlying data, if StorageOpsMetrics.isArrayBased() returns false this method return copy of data.
data() - Method in class org.apache.ignite.ml.math.primitives.matrix.storage.ViewMatrixStorage: Deprecated.

Gets underlying data, if StorageOpsMetrics.isArrayBased() returns false this method return copy of data.
data() - Method in class org.apache.ignite.ml.math.primitives.vector.storage.DenseVectorStorage: Deprecated.

Gets underlying array if StorageOpsMetrics.isArrayBased() returns true and all values in vector are Numbers.
data() - Method in class org.apache.ignite.ml.math.primitives.vector.storage.SparseVectorStorage: Deprecated.

Gets underlying array if StorageOpsMetrics.isArrayBased() returns true and all values in vector are Numbers.
data() - Method in class org.apache.ignite.ml.math.primitives.vector.storage.VectorizedViewMatrixStorage: Deprecated.

Gets underlying array if StorageOpsMetrics.isArrayBased() returns true and all values in vector are Numbers.
data() - Method in class org.apache.ignite.ml.math.primitives.vector.storage.VectorViewStorage: Deprecated.

Gets underlying array if StorageOpsMetrics.isArrayBased() returns true and all values in vector are Numbers.
data() - Method in interface org.apache.ignite.ml.math.primitives.vector.VectorStorage: Deprecated.

Gets underlying array if StorageOpsMetrics.isArrayBased() returns true and all values in vector are Numbers.
data - Variable in class org.apache.ignite.ml.structures.Dataset: Deprecated.

Data to keep.
data() - Method in class org.apache.ignite.ml.structures.Dataset: Deprecated.
Dataset<C extends Serializable,D extends AutoCloseable> - Interface in org.apache.ignite.ml.dataset: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
Dataset<Row extends DatasetRow> - Class in org.apache.ignite.ml.structures: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
Dataset() - Constructor for class org.apache.ignite.ml.structures.Dataset: Deprecated.

Default constructor (required by Externalizable).
Dataset(Row[], FeatureMetadata[]) - Constructor for class org.apache.ignite.ml.structures.Dataset: Deprecated.

Creates new Dataset by given data.
Dataset(Row[], String[], int) - Constructor for class org.apache.ignite.ml.structures.Dataset: Deprecated.

Creates new Dataset by given data.
Dataset(Row[], int) - Constructor for class org.apache.ignite.ml.structures.Dataset: Deprecated.

Creates new Dataset by given data.
Dataset(Row[]) - Constructor for class org.apache.ignite.ml.structures.Dataset: Deprecated.

Creates new Dataset by given data.
Dataset(int, int, String[], boolean) - Constructor for class org.apache.ignite.ml.structures.Dataset: Deprecated.

Creates new Dataset and initialized with empty data structure.
DatasetAffinityFunctionWrapper - Class in org.apache.ignite.ml.dataset.impl.cache.util: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
DatasetAffinityFunctionWrapper(AffinityFunction) - Constructor for class org.apache.ignite.ml.dataset.impl.cache.util.DatasetAffinityFunctionWrapper: Deprecated.

Constructs a new instance of affinity function wrapper.
DatasetBuilder<K,V> - Interface in org.apache.ignite.ml.dataset: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
DatasetFactory - Class in org.apache.ignite.ml.dataset: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
DatasetFactory() - Constructor for class org.apache.ignite.ml.dataset.DatasetFactory: Deprecated.
datasetMapping - Variable in class org.apache.ignite.ml.composition.combinators.sequential.TrainersSequentialComposition: Deprecated.

Dataset mapping.
DatasetMapping<L1,L2> - Interface in org.apache.ignite.ml.composition: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
DatasetRow<V extends Vector> - Class in org.apache.ignite.ml.structures: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
DatasetRow() - Constructor for class org.apache.ignite.ml.structures.DatasetRow: Deprecated.

Default constructor (required by Externalizable).
DatasetRow(V) - Constructor for class org.apache.ignite.ml.structures.DatasetRow: Deprecated.
DatasetTrainer<M extends IgniteModel,L> - Class in org.apache.ignite.ml.trainers: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
DatasetTrainer() - Constructor for class org.apache.ignite.ml.trainers.DatasetTrainer: Deprecated.
DatasetTrainer.EmptyDatasetException - Exception in org.apache.ignite.ml.trainers: Deprecated.

EmptyDataset exception.
DatasetWrapper<C extends Serializable,D extends AutoCloseable> - Class in org.apache.ignite.ml.dataset.primitive: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
DatasetWrapper(Dataset<C, D>) - Constructor for class org.apache.ignite.ml.dataset.primitive.DatasetWrapper: Deprecated.

Constructs a new instance of dataset wrapper that delegates compute actions to the actual delegate.
DataStreamGenerator - Interface in org.apache.ignite.ml.util.generators: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
dataTtl() - Method in interface org.apache.ignite.ml.environment.LearningEnvironment: Deprecated.

Returns partition data time-to-live in seconds (-1 for an infinite lifetime).
DebugCrossValidation<M extends IgniteModel<Vector,L>,L,K,V> - Class in org.apache.ignite.ml.selection.cv: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
DebugCrossValidation() - Constructor for class org.apache.ignite.ml.selection.cv.DebugCrossValidation: Deprecated.
DecisionTree<T extends ImpurityMeasure<T>> - Class in org.apache.ignite.ml.tree: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
DecisionTreeClassificationTrainer - Class in org.apache.ignite.ml.tree: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
DecisionTreeClassificationTrainer(int, double) - Constructor for class org.apache.ignite.ml.tree.DecisionTreeClassificationTrainer: Deprecated.

Constructs a new decision tree classifier with default impurity function compressor.
DecisionTreeClassificationTrainer() - Constructor for class org.apache.ignite.ml.tree.DecisionTreeClassificationTrainer: Deprecated.

Constructs a new decision tree classifier with default impurity function compressor and default maxDeep = 5 and minImpurityDecrease = 0.
DecisionTreeClassificationTrainer(int, double, StepFunctionCompressor<GiniImpurityMeasure>) - Constructor for class org.apache.ignite.ml.tree.DecisionTreeClassificationTrainer: Deprecated.

Constructs a new instance of decision tree classifier.
DecisionTreeConditionalNode - Class in org.apache.ignite.ml.tree: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
DecisionTreeConditionalNode(int, double, DecisionTreeNode, DecisionTreeNode, DecisionTreeNode) - Constructor for class org.apache.ignite.ml.tree.DecisionTreeConditionalNode: Deprecated.

Constructs a new instance of decision tree conditional node.
DecisionTreeData - Class in org.apache.ignite.ml.tree.data: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
DecisionTreeData(double[][], double[], boolean) - Constructor for class org.apache.ignite.ml.tree.data.DecisionTreeData: Deprecated.

Constructs a new instance of decision tree data.
DecisionTreeDataBuilder<K,V,C extends Serializable> - Class in org.apache.ignite.ml.tree.data: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
DecisionTreeDataBuilder(Preprocessor<K, V>, boolean) - Constructor for class org.apache.ignite.ml.tree.data.DecisionTreeDataBuilder: Deprecated.

Constructs a new instance of decision tree data builder.
DecisionTreeLeafBuilder - Interface in org.apache.ignite.ml.tree.leaf: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
DecisionTreeLeafNode - Class in org.apache.ignite.ml.tree: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
DecisionTreeLeafNode(double) - Constructor for class org.apache.ignite.ml.tree.DecisionTreeLeafNode: Deprecated.

Constructs a new decision tree leaf node.
DecisionTreeNode - Interface in org.apache.ignite.ml.tree: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
DecisionTreeRegressionTrainer - Class in org.apache.ignite.ml.tree: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
DecisionTreeRegressionTrainer(int, double) - Constructor for class org.apache.ignite.ml.tree.DecisionTreeRegressionTrainer: Deprecated.

Constructs a new decision tree regressor with default impurity function compressor.
DecisionTreeRegressionTrainer(int, double, StepFunctionCompressor<MSEImpurityMeasure>) - Constructor for class org.apache.ignite.ml.tree.DecisionTreeRegressionTrainer: Deprecated.

Constructs a new decision tree regressor.
DEFAULT_NUMBER_OF_RETRIES - Static variable in class org.apache.ignite.ml.dataset.impl.cache.CacheBasedDatasetBuilder: Deprecated.

Default number of retries for the case when one of partitions not found on the node where loading is performed.
DEFAULT_TRAINER_ENV - Static variable in interface org.apache.ignite.ml.environment.LearningEnvironment: Deprecated.

Default environment
DEFAULT_VALUE - Static variable in class org.apache.ignite.ml.dataset.feature.extractor.impl.BinaryObjectVectorizer: Deprecated.

Object for denoting default value of feature mapping.
defaultBuilder() - Static method in interface org.apache.ignite.ml.environment.LearningEnvironmentBuilder: Deprecated.

Get default LearningEnvironmentBuilder.
DefaultLabelVectorizer(C...) - Constructor for class org.apache.ignite.ml.dataset.feature.extractor.ExtractionUtils.DefaultLabelVectorizer: Deprecated.

Creates an instance of Vectorizer.
DefaultLearningEnvironmentBuilder - Class in org.apache.ignite.ml.environment: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
DefaultModelStorage - Class in org.apache.ignite.ml.inference.storage.model: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
DefaultModelStorage(ModelStorageProvider) - Constructor for class org.apache.ignite.ml.inference.storage.model.DefaultModelStorage: Deprecated.

Constructs a new instance of Ignite model storage.
DefaultParallelismStrategy - Class in org.apache.ignite.ml.environment.parallelism: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
DefaultParallelismStrategy() - Constructor for class org.apache.ignite.ml.environment.parallelism.DefaultParallelismStrategy: Deprecated.
DefaultParallelismStrategy.FutureWrapper<T> - Class in org.apache.ignite.ml.environment.parallelism: Deprecated.

Wrapper for future class.
defaultValue(Double) - Method in class org.apache.ignite.ml.dataset.feature.extractor.impl.BinaryObjectVectorizer.Mapping: Deprecated.

Default value for new feature values.
delegate - Variable in class org.apache.ignite.ml.dataset.primitive.DatasetWrapper: Deprecated.

Delegate that performs compute actions.
delegate() - Method in class org.apache.ignite.ml.math.primitives.matrix.storage.ViewMatrixStorage: Deprecated.
delegate() - Method in class org.apache.ignite.ml.math.primitives.vector.storage.VectorViewStorage: Deprecated.
DelegatingNamedVector - Class in org.apache.ignite.ml.math.primitives.vector.impl: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
DelegatingNamedVector() - Constructor for class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingNamedVector: Deprecated.

Constructs a new instance of delegating named vector.
DelegatingNamedVector(Vector, Map<String, Integer>) - Constructor for class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingNamedVector: Deprecated.

Constructs a new instance of delegating named vector.
DelegatingVector - Class in org.apache.ignite.ml.math.primitives.vector.impl: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
DelegatingVector() - Constructor for class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingVector: Deprecated.
DelegatingVector(Vector) - Constructor for class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingVector: Deprecated.
deleteDirectory(Path) - Static method in class org.apache.ignite.ml.inference.util.DirectorySerializer: Deprecated.

Removes the specified directory.
deltas - Variable in class org.apache.ignite.ml.optimization.updatecalculators.RPropParameterUpdate: Deprecated.

Previous iteration parameters deltas.
DenseMatrix - Class in org.apache.ignite.ml.math.primitives.matrix.impl: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
DenseMatrix() - Constructor for class org.apache.ignite.ml.math.primitives.matrix.impl.DenseMatrix: Deprecated.
DenseMatrix(int, int) - Constructor for class org.apache.ignite.ml.math.primitives.matrix.impl.DenseMatrix: Deprecated.
DenseMatrix(int, int, int) - Constructor for class org.apache.ignite.ml.math.primitives.matrix.impl.DenseMatrix: Deprecated.
DenseMatrix(double[][], int) - Constructor for class org.apache.ignite.ml.math.primitives.matrix.impl.DenseMatrix: Deprecated.
DenseMatrix(double[][]) - Constructor for class org.apache.ignite.ml.math.primitives.matrix.impl.DenseMatrix: Deprecated.
DenseMatrix(double[], int, int) - Constructor for class org.apache.ignite.ml.math.primitives.matrix.impl.DenseMatrix: Deprecated.
DenseMatrix(double[], int) - Constructor for class org.apache.ignite.ml.math.primitives.matrix.impl.DenseMatrix: Deprecated.

Build new matrix from flat raw array.
DenseMatrixStorage - Class in org.apache.ignite.ml.math.primitives.matrix.storage: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
DenseMatrixStorage() - Constructor for class org.apache.ignite.ml.math.primitives.matrix.storage.DenseMatrixStorage: Deprecated.
DenseMatrixStorage(int, int) - Constructor for class org.apache.ignite.ml.math.primitives.matrix.storage.DenseMatrixStorage: Deprecated.
DenseMatrixStorage(int, int, int) - Constructor for class org.apache.ignite.ml.math.primitives.matrix.storage.DenseMatrixStorage: Deprecated.
DenseMatrixStorage(double[][], int) - Constructor for class org.apache.ignite.ml.math.primitives.matrix.storage.DenseMatrixStorage: Deprecated.
DenseMatrixStorage(double[][]) - Constructor for class org.apache.ignite.ml.math.primitives.matrix.storage.DenseMatrixStorage: Deprecated.
DenseMatrixStorage(double[], int, int) - Constructor for class org.apache.ignite.ml.math.primitives.matrix.storage.DenseMatrixStorage: Deprecated.
DenseMatrixStorage(double[], int) - Constructor for class org.apache.ignite.ml.math.primitives.matrix.storage.DenseMatrixStorage: Deprecated.
DenseVector - Class in org.apache.ignite.ml.math.primitives.vector.impl: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
DenseVector(Serializable[]) - Constructor for class org.apache.ignite.ml.math.primitives.vector.impl.DenseVector: Deprecated.
DenseVector(Map<String, Object>) - Constructor for class org.apache.ignite.ml.math.primitives.vector.impl.DenseVector: Deprecated.
DenseVector() - Constructor for class org.apache.ignite.ml.math.primitives.vector.impl.DenseVector: Deprecated.
DenseVector(int) - Constructor for class org.apache.ignite.ml.math.primitives.vector.impl.DenseVector: Deprecated.
DenseVector(double[], boolean) - Constructor for class org.apache.ignite.ml.math.primitives.vector.impl.DenseVector: Deprecated.
DenseVector(double[]) - Constructor for class org.apache.ignite.ml.math.primitives.vector.impl.DenseVector: Deprecated.
DenseVectorStorage - Class in org.apache.ignite.ml.math.primitives.vector.storage: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
DenseVectorStorage() - Constructor for class org.apache.ignite.ml.math.primitives.vector.storage.DenseVectorStorage: Deprecated.

IMPL NOTE required by Externalizable.
DenseVectorStorage(int) - Constructor for class org.apache.ignite.ml.math.primitives.vector.storage.DenseVectorStorage: Deprecated.
DenseVectorStorage(double[]) - Constructor for class org.apache.ignite.ml.math.primitives.vector.storage.DenseVectorStorage: Deprecated.
DenseVectorStorage(Serializable[]) - Constructor for class org.apache.ignite.ml.math.primitives.vector.storage.DenseVectorStorage: Deprecated.
density(double) - Method in class org.apache.ignite.ml.math.primitives.matrix.AbstractMatrix: Deprecated.

Calculates the density of the matrix based on supplied criteria.
density(double) - Method in interface org.apache.ignite.ml.math.primitives.matrix.Matrix: Deprecated.

Calculates the density of the matrix based on supplied criteria.
DeployableObject - Interface in org.apache.ignite.ml.environment.deploy: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
DeployingContext - Interface in org.apache.ignite.ml.environment.deploy: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
deployingContext() - Method in interface org.apache.ignite.ml.environment.LearningEnvironment: Deprecated.

Returns deploy context instance.
DeployingContextImpl - Class in org.apache.ignite.ml.environment.deploy: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
DeployingContextImpl() - Constructor for class org.apache.ignite.ml.environment.deploy.DeployingContextImpl: Deprecated.
deserialize(Path, byte[]) - Static method in class org.apache.ignite.ml.inference.util.DirectorySerializer: Deprecated.

Deserializes directory content.
deserialize(byte[]) - Static method in class org.apache.ignite.ml.util.Utils: Deprecated.

Deserialized object represented as a byte array.
destroy() - Method in interface org.apache.ignite.ml.math.Destroyable: Deprecated.

Destroys object if managed outside of JVM.
destroy() - Method in class org.apache.ignite.ml.math.primitives.matrix.AbstractMatrix: Deprecated.

Destroys object if managed outside of JVM.
destroy() - Method in interface org.apache.ignite.ml.math.primitives.matrix.Matrix: Deprecated.

Destroys object if managed outside of JVM.
destroy() - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.

Destroys object if managed outside of JVM.
destroy() - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingVector: Deprecated.

Destroys object if managed outside of JVM.
Destroyable - Interface in org.apache.ignite.ml.math: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
determinant() - Method in class org.apache.ignite.ml.math.primitives.matrix.AbstractMatrix: Deprecated.

Returns matrix determinant using Laplace theorem.
determinant() - Method in class org.apache.ignite.ml.math.primitives.matrix.LUDecomposition: Deprecated.

Return the determinant of the matrix.
determinant() - Method in interface org.apache.ignite.ml.math.primitives.matrix.Matrix: Deprecated.

Returns matrix determinant using Laplace theorem.
differential(double) - Method in interface org.apache.ignite.ml.math.functions.IgniteDifferentiableDoubleToDoubleFunction: Deprecated.

Get function differential at a given point.
differential(Vector) - Method in interface org.apache.ignite.ml.math.functions.IgniteDifferentiableVectorToDoubleFunction: Deprecated.

Get function differential at a given point.
differentiateByParameters(IgniteFunction<Vector, IgniteDifferentiableVectorToDoubleFunction>, Matrix, Matrix) - Method in class org.apache.ignite.ml.nn.MultilayerPerceptron: Deprecated.

Compose function in the following way: feed output of this model as input to second argument to loss function.
differentiateByParameters(IgniteFunction<Vector, IgniteDifferentiableVectorToDoubleFunction>, Matrix, Matrix) - Method in interface org.apache.ignite.ml.optimization.SmoothParametrized: Deprecated.

Compose function in the following way: feed output of this model as input to second argument to loss function.
dimension() - Method in interface org.apache.ignite.ml.math.stat.Distribution: Deprecated.
dimension() - Method in class org.apache.ignite.ml.math.stat.DistributionMixture: Deprecated.
dimension() - Method in class org.apache.ignite.ml.math.stat.MultivariateGaussianDistribution: Deprecated.
DirectorySerializer - Class in org.apache.ignite.ml.inference.util: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
DirectorySerializer() - Constructor for class org.apache.ignite.ml.inference.util.DirectorySerializer: Deprecated.
DiscreteNaiveBayesModel - Class in org.apache.ignite.ml.naivebayes.discrete: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
DiscreteNaiveBayesModel(double[][][], double[], double[], double[][], DiscreteNaiveBayesSumsHolder) - Constructor for class org.apache.ignite.ml.naivebayes.discrete.DiscreteNaiveBayesModel: Deprecated.
DiscreteNaiveBayesSumsHolder - Class in org.apache.ignite.ml.naivebayes.discrete: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
DiscreteNaiveBayesSumsHolder() - Constructor for class org.apache.ignite.ml.naivebayes.discrete.DiscreteNaiveBayesSumsHolder: Deprecated.
DiscreteNaiveBayesTrainer - Class in org.apache.ignite.ml.naivebayes.discrete: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
DiscreteNaiveBayesTrainer() - Constructor for class org.apache.ignite.ml.naivebayes.discrete.DiscreteNaiveBayesTrainer: Deprecated.
DiscreteRandomProducer - Class in org.apache.ignite.ml.util.generators.primitives.scalar: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
DiscreteRandomProducer(double...) - Constructor for class org.apache.ignite.ml.util.generators.primitives.scalar.DiscreteRandomProducer: Deprecated.

Creates an instance of DiscreteRandomProducer.
DiscreteRandomProducer(long, double...) - Constructor for class org.apache.ignite.ml.util.generators.primitives.scalar.DiscreteRandomProducer: Deprecated.

Creates an instance of DiscreteRandomProducer.
distanceMeasure() - Method in class org.apache.ignite.ml.clustering.kmeans.KMeansModel: Deprecated.

Distance measure.
distanceMeasure - Variable in class org.apache.ignite.ml.knn.ann.KNNModelFormat: Deprecated.

Distance measure.
distanceMeasure - Variable in class org.apache.ignite.ml.knn.KNNModel: Deprecated.

Distance measure.
distanceMeasure - Variable in class org.apache.ignite.ml.knn.KNNTrainer: Deprecated.

Distance measure.
distanceMeasure - Variable in class org.apache.ignite.ml.knn.NNClassificationModel: Deprecated.

Distance measure.
DistanceMeasure - Interface in org.apache.ignite.ml.math.distances: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
Distribution - Interface in org.apache.ignite.ml.math.stat: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
DistributionComputer - Interface in org.apache.ignite.ml.dataset.feature: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
distributionId() - Method in class org.apache.ignite.ml.util.generators.primitives.vector.VectorGeneratorsFamily.VectorWithDistributionId: Deprecated.
DistributionMixture<C extends Distribution> - Class in org.apache.ignite.ml.math.stat: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
DistributionMixture(Vector, List<C>) - Constructor for class org.apache.ignite.ml.math.stat.DistributionMixture: Deprecated.

Creates an instance of DistributionMixture.
distributions() - Method in class org.apache.ignite.ml.math.stat.DistributionMixture: Deprecated.
div(double) - Static method in class org.apache.ignite.ml.math.functions.Functions: Deprecated.

Function that returns a / b.
divide(double) - Method in class org.apache.ignite.ml.math.primitives.matrix.AbstractMatrix: Deprecated.

Divides each value in this matrix by the argument.
divide(double) - Method in interface org.apache.ignite.ml.math.primitives.matrix.Matrix: Deprecated.

Divides each value in this matrix by the argument.
divide(double) - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.

Creates new vector containing values from this vector divided by the argument.
divide(double) - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingVector: Deprecated.

Creates new vector containing values from this vector divided by the argument.
divide(double) - Method in interface org.apache.ignite.ml.math.primitives.vector.Vector: Deprecated.

Creates new vector containing values from this vector divided by the argument.
dot(Vector, Vector) - Static method in class org.apache.ignite.ml.math.Blas: Deprecated.

Returns dot product of vectors x and y.
dot(Vector) - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.

Gets dot product of two vectors.
dot(Vector) - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingVector: Deprecated.

Gets dot product of two vectors.
dot(Vector) - Method in interface org.apache.ignite.ml.math.primitives.vector.Vector: Deprecated.

Gets dot product of two vectors.
dotSelf() - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.
DoubleArrayVectorizer<K> - Class in org.apache.ignite.ml.dataset.feature.extractor.impl: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
DoubleArrayVectorizer(Integer...) - Constructor for class org.apache.ignite.ml.dataset.feature.extractor.impl.DoubleArrayVectorizer: Deprecated.

Creates an instance of Vectorizer.
DummyVectorizer<K> - Class in org.apache.ignite.ml.dataset.feature.extractor.impl: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
DummyVectorizer(Integer...) - Constructor for class org.apache.ignite.ml.dataset.feature.extractor.impl.DummyVectorizer: Deprecated.

Creates an instance of Vectorizer.
duplicateRandomFeatures(int) - Method in interface org.apache.ignite.ml.util.generators.primitives.vector.VectorGenerator: Deprecated.

Increase vectors of generator by increaseSize and sets to new values random selected feature values from already set components.
duplicateRandomFeatures(int, Long) - Method in interface org.apache.ignite.ml.util.generators.primitives.vector.VectorGenerator: Deprecated.

Increase vectors of generator by increaseSize and sets to new values random selected feature values from already set components.

E

elementWiseMinus(Vector, Vector) - Static method in class org.apache.ignite.ml.math.primitives.vector.VectorUtils: Deprecated.

Performs in-place vector subtraction.
elementWiseMinus(Matrix, Matrix) - Static method in class org.apache.ignite.ml.math.util.MatrixUtil: Deprecated.

Performs in-place matrix subtraction.
elementWiseTimes(Vector, Vector) - Static method in class org.apache.ignite.ml.math.primitives.vector.VectorUtils: Deprecated.

Performs in-place vector multiplication.
elementWiseTimes(Matrix, Matrix) - Static method in class org.apache.ignite.ml.math.util.MatrixUtil: Deprecated.

Performs in-place matrix multiplication.
EmptyContext - Class in org.apache.ignite.ml.dataset.primitive.context: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
EmptyContext() - Constructor for class org.apache.ignite.ml.dataset.primitive.context.EmptyContext: Deprecated.
EmptyContextBuilder<K,V> - Class in org.apache.ignite.ml.dataset.primitive.builder.context: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
EmptyContextBuilder() - Constructor for class org.apache.ignite.ml.dataset.primitive.builder.context.EmptyContextBuilder: Deprecated.
EmptyDatasetException() - Constructor for exception org.apache.ignite.ml.trainers.DatasetTrainer.EmptyDatasetException: Deprecated.

Constructs an instance of EmptyDatasetException.
EmptyFileException - Exception in org.apache.ignite.ml.math.exceptions.knn: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
EmptyFileException(String) - Constructor for exception org.apache.ignite.ml.math.exceptions.knn.EmptyFileException: Deprecated.

Creates new exception.
emptyVector(int, boolean) - Static method in class org.apache.ignite.ml.structures.LabeledVectorSet: Deprecated.
encode(ClientConnectionContext, BinaryRawWriterEx) - Method in class org.apache.ignite.ml.inference.storage.model.thinclient.FileRespose: Deprecated.
encode(ClientConnectionContext, BinaryRawWriterEx) - Method in class org.apache.ignite.ml.inference.storage.model.thinclient.FilesListResponse: Deprecated.
encode(ClientConnectionContext, BinaryRawWriterEx) - Method in class org.apache.ignite.ml.inference.storage.model.thinclient.FileStatResponse: Deprecated.
EncoderPartitionData - Class in org.apache.ignite.ml.preprocessing.encoding: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
EncoderPartitionData() - Constructor for class org.apache.ignite.ml.preprocessing.encoding.EncoderPartitionData: Deprecated.

Constructs a new instance of String Encoder partition data.
EncoderPreprocessor<K,V> - Class in org.apache.ignite.ml.preprocessing.encoding: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
EncoderPreprocessor(Map<String, Integer>[], Preprocessor<K, V>, Set<Integer>) - Constructor for class org.apache.ignite.ml.preprocessing.encoding.EncoderPreprocessor: Deprecated.

Constructs a new instance of String Encoder preprocessor.
EncoderSortingStrategy - Enum in org.apache.ignite.ml.preprocessing.encoding: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
EncoderTrainer<K,V> - Class in org.apache.ignite.ml.preprocessing.encoding: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
EncoderTrainer() - Constructor for class org.apache.ignite.ml.preprocessing.encoding.EncoderTrainer: Deprecated.
EncoderType - Enum in org.apache.ignite.ml.preprocessing.encoding: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
encodingValues - Variable in class org.apache.ignite.ml.preprocessing.encoding.EncoderPreprocessor: Deprecated.

Filling values.
entryExpired(V) - Method in interface org.apache.ignite.ml.util.LRUCacheExpirationListener: Deprecated.

Handles entry expiration, is called before value is moved from cache.
envBuilder - Variable in class org.apache.ignite.ml.composition.boosting.GDBLearningStrategy: Deprecated.

Learning environment builder.
envBuilder - Variable in class org.apache.ignite.ml.selection.cv.AbstractCrossValidation: Deprecated.

Learning environment builder.
envBuilder - Variable in class org.apache.ignite.ml.trainers.DatasetTrainer: Deprecated.

Learning environment builder.
environment - Variable in class org.apache.ignite.ml.selection.cv.AbstractCrossValidation: Deprecated.

Learning Environment.
environment - Variable in class org.apache.ignite.ml.trainers.DatasetTrainer: Deprecated.

Learning Environment.
equals(Object) - Method in class org.apache.ignite.ml.clustering.kmeans.KMeansModel: Deprecated.
equals(Object) - Method in class org.apache.ignite.ml.clustering.kmeans.KMeansModelFormat: Deprecated.
equals(Object) - Method in class org.apache.ignite.ml.dataset.impl.bootstrapping.BootstrappedVector: Deprecated.
equals(Object) - Method in class org.apache.ignite.ml.knn.ann.ANNClassificationModel: Deprecated.
equals(Object) - Method in class org.apache.ignite.ml.knn.ann.ANNModelFormat: Deprecated.
equals(Object) - Method in class org.apache.ignite.ml.knn.ann.KNNModelFormat: Deprecated.
equals(Object) - Method in class org.apache.ignite.ml.knn.NNClassificationModel: Deprecated.
equals(Object) - Method in class org.apache.ignite.ml.math.distances.EuclideanDistance: Deprecated.
equals(Object) - Method in class org.apache.ignite.ml.math.distances.HammingDistance: Deprecated.
equals(Object) - Method in class org.apache.ignite.ml.math.distances.ManhattanDistance: Deprecated.
equals(Object) - Method in class org.apache.ignite.ml.math.primitives.matrix.AbstractMatrix: Deprecated.

We ignore guid's for comparisons.
equals(Object) - Method in class org.apache.ignite.ml.math.primitives.matrix.storage.DenseMatrixStorage: Deprecated.
equals(Object) - Method in class org.apache.ignite.ml.math.primitives.matrix.storage.SparseMatrixStorage: Deprecated.
equals(Object) - Method in class org.apache.ignite.ml.math.primitives.matrix.storage.ViewMatrixStorage: Deprecated.
equals(Object) - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.
equals(Object) - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingVector: Deprecated.
equals(Object) - Method in class org.apache.ignite.ml.math.primitives.vector.impl.VectorizedViewMatrix: Deprecated.
equals(Object) - Method in class org.apache.ignite.ml.math.primitives.vector.impl.VectorView: Deprecated.
equals(Object) - Method in class org.apache.ignite.ml.math.primitives.vector.storage.DenseVectorStorage: Deprecated.
equals(Object) - Method in class org.apache.ignite.ml.math.primitives.vector.storage.SparseVectorStorage: Deprecated.
equals(Object) - Method in class org.apache.ignite.ml.math.primitives.vector.storage.VectorViewStorage: Deprecated.
equals(Object) - Method in class org.apache.ignite.ml.multiclass.MultiClassModel: Deprecated.
equals(Object) - Method in class org.apache.ignite.ml.regressions.linear.LinearRegressionModel: Deprecated.
equals(Object) - Method in class org.apache.ignite.ml.regressions.logistic.LogisticRegressionModel: Deprecated.
equals(Object) - Method in class org.apache.ignite.ml.structures.Dataset: Deprecated.
equals(Object) - Method in class org.apache.ignite.ml.structures.DatasetRow: Deprecated.
equals(Object) - Method in class org.apache.ignite.ml.structures.FeatureMetadata: Deprecated.
equals(Object) - Method in class org.apache.ignite.ml.structures.LabeledVector: Deprecated.
equals(Object) - Method in class org.apache.ignite.ml.svm.SVMLinearClassificationModel: Deprecated.
equals(Object) - Method in class org.apache.ignite.ml.tree.randomforest.data.NodeId: Deprecated.
error(long, double, double) - Method in class org.apache.ignite.ml.composition.boosting.loss.LogLoss: Deprecated.

Error value for model answer.
error(long, double, double) - Method in interface org.apache.ignite.ml.composition.boosting.loss.Loss: Deprecated.

Error value for model answer.
error(long, double, double) - Method in class org.apache.ignite.ml.composition.boosting.loss.SquaredError: Deprecated.

Error value for model answer.
EuclideanDistance - Class in org.apache.ignite.ml.math.distances: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
EuclideanDistance() - Constructor for class org.apache.ignite.ml.math.distances.EuclideanDistance: Deprecated.
evaluate(List<Gene>) - Method in interface org.apache.ignite.ml.genetic.IFitnessFunction: Deprecated.
evaluate(IgniteCache<K, V>, IgniteModel<Vector, L>, Preprocessor<K, V>, Metric<L>) - Static method in class org.apache.ignite.ml.selection.scoring.evaluator.Evaluator: Deprecated.

Computes the given metric on the given cache.
evaluate(Map<K, V>, IgniteModel<Vector, L>, Preprocessor<K, V>, Metric<L>) - Static method in class org.apache.ignite.ml.selection.scoring.evaluator.Evaluator: Deprecated.

Computes the given metric on the given cache.
evaluate(IgniteCache<K, V>, IgniteBiPredicate<K, V>, IgniteModel<Vector, L>, Preprocessor<K, V>, Metric<L>) - Static method in class org.apache.ignite.ml.selection.scoring.evaluator.Evaluator: Deprecated.

Computes the given metric on the given cache.
evaluate(Map<K, V>, IgniteBiPredicate<K, V>, IgniteModel<Vector, L>, Preprocessor<K, V>, Metric<L>) - Static method in class org.apache.ignite.ml.selection.scoring.evaluator.Evaluator: Deprecated.

Computes the given metric on the given cache.
evaluate(IgniteCache<K, V>, IgniteModel<Vector, Double>, Preprocessor<K, V>) - Static method in class org.apache.ignite.ml.selection.scoring.evaluator.Evaluator: Deprecated.

Computes the given metrics on the given cache.
evaluate(Map<K, V>, IgniteModel<Vector, Double>, Preprocessor<K, V>) - Static method in class org.apache.ignite.ml.selection.scoring.evaluator.Evaluator: Deprecated.

Computes the given metrics on the given cache.
evaluate(IgniteCache<K, V>, IgniteBiPredicate<K, V>, IgniteModel<Vector, Double>, Preprocessor<K, V>) - Static method in class org.apache.ignite.ml.selection.scoring.evaluator.Evaluator: Deprecated.

Computes the given metrics on the given cache.
evaluate(Map<K, V>, IgniteBiPredicate<K, V>, IgniteModel<Vector, Double>, Preprocessor<K, V>) - Static method in class org.apache.ignite.ml.selection.scoring.evaluator.Evaluator: Deprecated.

Computes the given metrics on the given cache.
evaluateRegression(IgniteCache<K, V>, IgniteBiPredicate<K, V>, IgniteModel<Vector, Double>, Preprocessor<K, V>) - Static method in class org.apache.ignite.ml.selection.scoring.evaluator.Evaluator: Deprecated.

Computes the regression metrics on the given cache.
Evaluator - Class in org.apache.ignite.ml.selection.scoring.evaluator: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
Evaluator() - Constructor for class org.apache.ignite.ml.selection.scoring.evaluator.Evaluator: Deprecated.
EvolutionOptimizationStrategy - Class in org.apache.ignite.ml.selection.paramgrid: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
EvolutionOptimizationStrategy() - Constructor for class org.apache.ignite.ml.selection.paramgrid.EvolutionOptimizationStrategy: Deprecated.
evolve() - Method in class org.apache.ignite.ml.genetic.GAGrid: Deprecated.

Evolve the population
exclude(C...) - Method in class org.apache.ignite.ml.dataset.feature.extractor.Vectorizer: Deprecated.

Exclude these coordinates from result vector.
execute() - Method in class org.apache.ignite.ml.genetic.CrossOverJob: Deprecated.
execute() - Method in class org.apache.ignite.ml.genetic.FitnessJob: Deprecated.
execute() - Method in class org.apache.ignite.ml.genetic.MutateJob: Deprecated.
execute() - Method in class org.apache.ignite.ml.genetic.RouletteWheelSelectionJob: Deprecated.

Perform Roulette Wheel selection
execute() - Method in class org.apache.ignite.ml.genetic.TruncateSelectionJob: Deprecated.
exists(String) - Method in class org.apache.ignite.ml.inference.storage.model.DefaultModelStorage: Deprecated.

Returns true if a regular file or directory exist, otherwise false.
exists(String) - Method in interface org.apache.ignite.ml.inference.storage.model.ModelStorage: Deprecated.

Returns true if a regular file or directory exist, otherwise false.
Exportable<D> - Interface in org.apache.ignite.ml: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
Exporter<D,P> - Interface in org.apache.ignite.ml: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
externalLabelToInternal(double) - Method in class org.apache.ignite.ml.composition.boosting.GDBBinaryClassifierTrainer: Deprecated.

Maps external representation of label to internal.
externalLabelToInternal(double) - Method in class org.apache.ignite.ml.composition.boosting.GDBRegressionTrainer: Deprecated.

Maps external representation of label to internal.
externalLabelToInternal(double) - Method in class org.apache.ignite.ml.composition.boosting.GDBTrainer: Deprecated.

Maps external representation of label to internal.
externalLbToInternalMapping - Variable in class org.apache.ignite.ml.composition.boosting.GDBLearningStrategy: Deprecated.

External label to internal mapping.
extract(K, V) - Method in class org.apache.ignite.ml.dataset.feature.extractor.Vectorizer: Deprecated.

Extract LabeledVector from key and value.
extract(K, V) - Method in interface org.apache.ignite.ml.trainers.FeatureLabelExtractor: Deprecated.

Extract LabeledVector from key and value.
extractFeatures(K, V) - Method in interface org.apache.ignite.ml.trainers.FeatureLabelExtractor: Deprecated.

Extract features from key and value.
ExtractionUtils - Class in org.apache.ignite.ml.dataset.feature.extractor: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
ExtractionUtils() - Constructor for class org.apache.ignite.ml.dataset.feature.extractor.ExtractionUtils: Deprecated.
ExtractionUtils.ArrayLikeVectorizer<K,V> - Class in org.apache.ignite.ml.dataset.feature.extractor: Deprecated.

Vectorizer extracting vectors from array-like structure with finite size and integer coordinates.
ExtractionUtils.DefaultLabelVectorizer<K,V,C extends Serializable> - Class in org.apache.ignite.ml.dataset.feature.extractor: Deprecated.

Vectorizer with double-label containing on same level as feature values.
ExtractionUtils.IntCoordVectorizer<K,V> - Class in org.apache.ignite.ml.dataset.feature.extractor: Deprecated.

Vectorizer with integer coordinates.
ExtractionUtils.StringCoordVectorizer<K,V> - Class in org.apache.ignite.ml.dataset.feature.extractor: Deprecated.

Vectorizer with String-coordinates.
extractLabel(K, V) - Method in interface org.apache.ignite.ml.trainers.FeatureLabelExtractor: Deprecated.

Extract label from key and value.

F

f1Score() - Method in class org.apache.ignite.ml.selection.scoring.metric.classification.BinaryClassificationMetricValues: Deprecated.

Returns F1-Score is the harmonic mean of Precision and Sensitivity.
factory(MLLogger.VerboseLevel) - Static method in class org.apache.ignite.ml.environment.logging.ConsoleLogger: Deprecated.

Returns an instance of ConsoleLogger factory.
factory(IgniteLogger) - Static method in class org.apache.ignite.ml.environment.logging.CustomMLLogger: Deprecated.

Returns factory for OnIgniteLogger instantiating.
factory() - Static method in class org.apache.ignite.ml.environment.logging.NoOpLogger: Deprecated.

Returns NoOpLogger factory.
fallOut() - Method in class org.apache.ignite.ml.selection.scoring.metric.classification.BinaryClassificationMetricValues: Deprecated.

Returns Fall-out or False Positive Rate (FPR).
fdr() - Method in class org.apache.ignite.ml.selection.scoring.metric.classification.BinaryClassificationMetricValues: Deprecated.

Returns False Discovery Rate (FDR).
feature(String, K, BinaryObject) - Method in class org.apache.ignite.ml.dataset.feature.extractor.impl.BinaryObjectVectorizer: Deprecated.

Extracts feature value by given coordinate.
feature(Integer, K, double[]) - Method in class org.apache.ignite.ml.dataset.feature.extractor.impl.DoubleArrayVectorizer: Deprecated.

Extracts feature value by given coordinate.
feature(Integer, K, Vector) - Method in class org.apache.ignite.ml.dataset.feature.extractor.impl.DummyVectorizer: Deprecated.

Extracts feature value by given coordinate.
feature(Integer, K, LabeledVector<L>) - Method in class org.apache.ignite.ml.dataset.feature.extractor.impl.LabeledDummyVectorizer: Deprecated.

Extracts feature value by given coordinate.
feature(C, K, V) - Method in class org.apache.ignite.ml.dataset.feature.extractor.Vectorizer: Deprecated.

Extracts feature value by given coordinate.
feature(C, K, V) - Method in class org.apache.ignite.ml.dataset.feature.extractor.Vectorizer.VectorizerAdapter: Deprecated.

Extracts feature value by given coordinate.
featureId - Variable in class org.apache.ignite.ml.tree.randomforest.data.impurity.basic.BootstrappedVectorsHistogram: Deprecated.

Feature id.
featureId - Variable in class org.apache.ignite.ml.tree.randomforest.data.impurity.ImpurityHistogram: Deprecated.

Feature id.
featureInSortedOrder(int, int) - Method in class org.apache.ignite.ml.tree.data.TreeDataIndex: Deprecated.

Returns feature value for kth order statistic for target feature.
FeatureLabelExtractor<K,V,L> - Interface in org.apache.ignite.ml.trainers: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
FeatureMatrixWithLabelsOnHeapData - Class in org.apache.ignite.ml.dataset.primitive: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
FeatureMatrixWithLabelsOnHeapData(double[][], double[]) - Constructor for class org.apache.ignite.ml.dataset.primitive.FeatureMatrixWithLabelsOnHeapData: Deprecated.

Constructs an instance of FeatureMatrixWithLabelsOnHeapData.
FeatureMatrixWithLabelsOnHeapDataBuilder<K,V,C extends Serializable,CO extends Serializable> - Class in org.apache.ignite.ml.dataset.primitive: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
FeatureMatrixWithLabelsOnHeapDataBuilder(Preprocessor<K, V>) - Constructor for class org.apache.ignite.ml.dataset.primitive.FeatureMatrixWithLabelsOnHeapDataBuilder: Deprecated.

Constructs a new instance of decision tree data builder.
FeatureMeta - Class in org.apache.ignite.ml.dataset.feature: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
FeatureMeta(String, int, boolean) - Constructor for class org.apache.ignite.ml.dataset.feature.FeatureMeta: Deprecated.

Create an instance of Feature meta.
FeatureMetadata - Class in org.apache.ignite.ml.structures: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
FeatureMetadata() - Constructor for class org.apache.ignite.ml.structures.FeatureMetadata: Deprecated.

Default constructor (required by Externalizable).
FeatureMetadata(String) - Constructor for class org.apache.ignite.ml.structures.FeatureMetadata: Deprecated.

Creates an instance of Feature Metadata class.
features(int) - Method in class org.apache.ignite.ml.structures.Dataset: Deprecated.

Get the features.
features() - Method in class org.apache.ignite.ml.structures.DatasetRow: Deprecated.

Get the vector.
FeaturesCountSelectionStrategies - Class in org.apache.ignite.ml.tree.randomforest.data: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
FeaturesCountSelectionStrategies() - Constructor for class org.apache.ignite.ml.tree.randomforest.data.FeaturesCountSelectionStrategies: Deprecated.
featuresInSortedOrder(int, int) - Method in class org.apache.ignite.ml.tree.data.TreeDataIndex: Deprecated.

Returns vector of original features for kth order statistic for target feature.
FileExporter<D> - Class in org.apache.ignite.ml: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
FileExporter() - Constructor for class org.apache.ignite.ml.FileExporter: Deprecated.
FileOrDirectory - Interface in org.apache.ignite.ml.inference.storage.model: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
FileParsingException - Exception in org.apache.ignite.ml.math.exceptions.knn: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
FileParsingException(String, int, Path) - Constructor for exception org.apache.ignite.ml.math.exceptions.knn.FileParsingException: Deprecated.

Creates new exception.
FileRespose - Class in org.apache.ignite.ml.inference.storage.model.thinclient: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
FileRespose(long, byte[]) - Constructor for class org.apache.ignite.ml.inference.storage.model.thinclient.FileRespose: Deprecated.

Creates an instance of file response.
FilesListResponse - Class in org.apache.ignite.ml.inference.storage.model.thinclient: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
FilesListResponse(long, Set<String>) - Constructor for class org.apache.ignite.ml.inference.storage.model.thinclient.FilesListResponse: Deprecated.

Creates an instance of files list response.
FileStat - Class in org.apache.ignite.ml.inference.storage.model: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
FileStat(boolean, long, int) - Constructor for class org.apache.ignite.ml.inference.storage.model.FileStat: Deprecated.

Creates an instance of stat file.
FileStatResponse - Class in org.apache.ignite.ml.inference.storage.model.thinclient: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
FileStatResponse(long, FileStat) - Constructor for class org.apache.ignite.ml.inference.storage.model.thinclient.FileStatResponse: Deprecated.

Create an instance of file statistics.
FileSystemModelReader - Class in org.apache.ignite.ml.inference.reader: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
FileSystemModelReader(String) - Constructor for class org.apache.ignite.ml.inference.reader.FileSystemModelReader: Deprecated.

Constructs a new instance of directory model reader.
fill(double, int) - Static method in class org.apache.ignite.ml.math.primitives.vector.VectorUtils: Deprecated.

Create new vector of specified size n with specified value.
FILL_CACHE_BATCH_SIZE - Static variable in interface org.apache.ignite.ml.util.generators.DataStreamGenerator: Deprecated.

Size of batch for IgniteCache.putAll(Map).
fillCacheWith(double[][]) - Method in class org.apache.ignite.ml.util.SandboxMLCache: Deprecated.

Fills cache with data and returns it.
fillCacheWith(MLSandboxDatasets) - Method in class org.apache.ignite.ml.util.SandboxMLCache: Deprecated.

Fills cache with data and returns it.
fillCacheWithCustomKey(int, IgniteCache<K, LabeledVector<Double>>, Function<LabeledVector<Double>, K>) - Method in interface org.apache.ignite.ml.util.generators.DataStreamGenerator: Deprecated.

Fills given cache with labeled vectors from this generator and user defined mapper from vectors to keys.
fillCacheWithVecHashAsKey(int, IgniteCache<Integer, LabeledVector<Double>>) - Method in interface org.apache.ignite.ml.util.generators.DataStreamGenerator: Deprecated.

Fills given cache with labeled vectors from this generator as values and their hashcodes as keys.
fillCacheWithVecUUIDAsKey(int, IgniteCache<UUID, LabeledVector<Double>>) - Method in interface org.apache.ignite.ml.util.generators.DataStreamGenerator: Deprecated.

Fills given cache with labeled vectors from this generator as values and random UUIDs as keys
filter - Variable in class org.apache.ignite.ml.selection.cv.AbstractCrossValidation: Deprecated.

Filter.
filter(TreeFilter) - Method in class org.apache.ignite.ml.tree.data.DecisionTreeData: Deprecated.

Filters objects and returns only data that passed filter.
filter(TreeFilter) - Method in class org.apache.ignite.ml.tree.data.TreeDataIndex: Deprecated.

Creates projection of current index in according to TreeFilter.
filter(IgnitePredicate<Vector>) - Method in interface org.apache.ignite.ml.util.generators.primitives.vector.VectorGenerator: Deprecated.

Filters values of vector generator using predicate.
findBestSplit() - Method in class org.apache.ignite.ml.tree.randomforest.data.impurity.GiniHistogram: Deprecated.

Returns best split point computed on histogram if it exists.
findBestSplit() - Method in interface org.apache.ignite.ml.tree.randomforest.data.impurity.ImpurityComputer: Deprecated.

Returns best split point computed on histogram if it exists.
findBestSplit() - Method in class org.apache.ignite.ml.tree.randomforest.data.impurity.ImpurityHistogramsComputer.NodeImpurityHistograms: Deprecated.

Find best split point, based on feature statistics.
findBestSplit() - Method in class org.apache.ignite.ml.tree.randomforest.data.impurity.MSEHistogram: Deprecated.

Returns best split point computed on histogram if it exists.
findKClosest(int, Vector) - Method in class org.apache.ignite.ml.knn.KNNModel: Deprecated.

Finds k closest elements to the specified point.
findKClosest(int, Vector) - Method in class org.apache.ignite.ml.knn.utils.indices.ArraySpatialIndex: Deprecated.

Finds k closest elements to the specified point.
findKClosest(int, Vector) - Method in class org.apache.ignite.ml.knn.utils.indices.BallTreeSpatialIndex: Deprecated.

Finds k closest elements to the specified point.
findKClosest(int, Vector) - Method in class org.apache.ignite.ml.knn.utils.indices.KDTreeSpatialIndex: Deprecated.

Finds k closest elements to the specified point.
findKClosest(int, Vector) - Method in interface org.apache.ignite.ml.knn.utils.indices.SpatialIndex: Deprecated.

Finds k closest elements to the specified point.
firstModel() - Method in class org.apache.ignite.ml.composition.combinators.sequential.ModelsSequentialComposition: Deprecated.

Get first model.
fit(Ignite, IgniteCache<K, V>) - Method in class org.apache.ignite.ml.pipeline.Pipeline: Deprecated.

Fits the pipeline to the input cache.
fit(Map<K, V>, int) - Method in class org.apache.ignite.ml.pipeline.Pipeline: Deprecated.

Fits the pipeline to the input mock data.
fit(DatasetBuilder) - Method in class org.apache.ignite.ml.pipeline.Pipeline: Deprecated.

Fits the pipeline to the input dataset builder.
fit(LearningEnvironmentBuilder, DatasetBuilder<K, V>, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.preprocessing.binarization.BinarizationTrainer: Deprecated.

Fits preprocessor.
fit(LearningEnvironmentBuilder, DatasetBuilder<K, V>, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.preprocessing.encoding.EncoderTrainer: Deprecated.

Fits preprocessor.
fit(LearningEnvironmentBuilder, DatasetBuilder<K, V>, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.preprocessing.imputing.ImputerTrainer: Deprecated.

Fits preprocessor.
fit(LearningEnvironmentBuilder, DatasetBuilder<K, V>, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.preprocessing.maxabsscaling.MaxAbsScalerTrainer: Deprecated.

Fits preprocessor.
fit(LearningEnvironmentBuilder, DatasetBuilder<K, V>, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.preprocessing.minmaxscaling.MinMaxScalerTrainer: Deprecated.

Fits preprocessor.
fit(LearningEnvironmentBuilder, DatasetBuilder<K, V>, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.preprocessing.normalization.NormalizationTrainer: Deprecated.

Fits preprocessor.
fit(LearningEnvironmentBuilder, DatasetBuilder<K, V>, Preprocessor<K, V>) - Method in interface org.apache.ignite.ml.preprocessing.PreprocessingTrainer: Deprecated.

Fits preprocessor.
fit(DatasetBuilder<K, V>, Preprocessor<K, V>) - Method in interface org.apache.ignite.ml.preprocessing.PreprocessingTrainer: Deprecated.

Fits preprocessor.
fit(Ignite, IgniteCache<K, V>, Preprocessor<K, V>) - Method in interface org.apache.ignite.ml.preprocessing.PreprocessingTrainer: Deprecated.

Fits preprocessor.
fit(LearningEnvironmentBuilder, Ignite, IgniteCache<K, V>, Preprocessor<K, V>) - Method in interface org.apache.ignite.ml.preprocessing.PreprocessingTrainer: Deprecated.

Fits preprocessor.
fit(LearningEnvironmentBuilder, Map<K, V>, int, Preprocessor<K, V>) - Method in interface org.apache.ignite.ml.preprocessing.PreprocessingTrainer: Deprecated.

Fits preprocessor.
fit(Map<K, V>, int, Preprocessor<K, V>) - Method in interface org.apache.ignite.ml.preprocessing.PreprocessingTrainer: Deprecated.

Fits preprocessor.
fit(LearningEnvironmentBuilder, DatasetBuilder<K, V>, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.preprocessing.standardscaling.StandardScalerTrainer: Deprecated.

Fits preprocessor.
fit(DatasetBuilder<Object, BinaryObject>, String, String, String) - Method in class org.apache.ignite.ml.recommendation.RecommendationTrainer: Deprecated.

Fits prediction model on a data storen in binary format.
fit(DatasetBuilder<K, ? extends ObjectSubjectRatingTriplet<O, S>>) - Method in class org.apache.ignite.ml.recommendation.RecommendationTrainer: Deprecated.

Fits prediction model.
fit(DatasetBuilder<K, V>, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.trainers.DatasetTrainer: Deprecated.

Trains model based on the specified data.
fit(DatasetBuilder<K, V>, Preprocessor<K, V>, LearningEnvironment) - Method in class org.apache.ignite.ml.trainers.DatasetTrainer: Deprecated.

Trains model based on the specified data.
fit(Ignite, IgniteCache<K, V>, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.trainers.DatasetTrainer: Deprecated.

Trains model based on the specified data.
fit(Ignite, IgniteCache<K, V>, IgniteBiPredicate<K, V>, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.trainers.DatasetTrainer: Deprecated.

Trains model based on the specified data.
fit(Map<K, V>, int, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.trainers.DatasetTrainer: Deprecated.

Trains model based on the specified data.
fit(Map<K, V>, IgniteBiPredicate<K, V>, int, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.trainers.DatasetTrainer: Deprecated.

Trains model based on the specified data.
fit(Dataset<EmptyContext, DecisionTreeData>) - Method in class org.apache.ignite.ml.tree.DecisionTree: Deprecated.
FitnessJob - Class in org.apache.ignite.ml.genetic: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
FitnessJob(Long, IFitnessFunction) - Constructor for class org.apache.ignite.ml.genetic.FitnessJob: Deprecated.
FitnessTask - Class in org.apache.ignite.ml.genetic: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
FitnessTask(GAConfiguration) - Constructor for class org.apache.ignite.ml.genetic.FitnessTask: Deprecated.
fitWithInitializedDeployingContext(DatasetBuilder<K, V>, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.clustering.gmm.GmmTrainer: Deprecated.

Trains model based on the specified data.
fitWithInitializedDeployingContext(DatasetBuilder<K, V>, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.clustering.kmeans.KMeansTrainer: Deprecated.

Trains model based on the specified data.
fitWithInitializedDeployingContext(DatasetBuilder<K, V>, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.composition.bagging.BaggedTrainer: Deprecated.

Trains model based on the specified data.
fitWithInitializedDeployingContext(DatasetBuilder<K, V>, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.composition.boosting.GDBTrainer: Deprecated.

Trains model based on the specified data.
fitWithInitializedDeployingContext(DatasetBuilder<K, V>, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.composition.combinators.parallel.TrainersParallelComposition: Deprecated.

Trains model based on the specified data.
fitWithInitializedDeployingContext(DatasetBuilder<K, V>, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.composition.combinators.sequential.TrainersSequentialComposition: Deprecated.

Trains model based on the specified data.
fitWithInitializedDeployingContext(DatasetBuilder<K, V>, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.composition.stacking.StackedDatasetTrainer: Deprecated.

Trains model based on the specified data.
fitWithInitializedDeployingContext(DatasetBuilder<K, V>, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.knn.ann.ANNClassificationTrainer: Deprecated.

Trains model based on the specified data.
fitWithInitializedDeployingContext(DatasetBuilder<K, V>, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.knn.KNNTrainer: Deprecated.

Trains model based on the specified data.
fitWithInitializedDeployingContext(DatasetBuilder<K, V>, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.multiclass.OneVsRestTrainer: Deprecated.

Trains model based on the specified data.
fitWithInitializedDeployingContext(DatasetBuilder<K, V>, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.naivebayes.discrete.DiscreteNaiveBayesTrainer: Deprecated.

Trains model based on the specified data.
fitWithInitializedDeployingContext(DatasetBuilder<K, V>, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.naivebayes.gaussian.GaussianNaiveBayesTrainer: Deprecated.

Trains model based on the specified data.
fitWithInitializedDeployingContext(DatasetBuilder<K, V>, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.nn.MLPTrainer: Deprecated.

Trains model based on the specified data.
fitWithInitializedDeployingContext(DatasetBuilder<K, V>, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.regressions.linear.LinearRegressionLSQRTrainer: Deprecated.

Trains model based on the specified data.
fitWithInitializedDeployingContext(DatasetBuilder<K, V>, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.regressions.linear.LinearRegressionSGDTrainer: Deprecated.

Trains model based on the specified data.
fitWithInitializedDeployingContext(DatasetBuilder<K, V>, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.regressions.logistic.LogisticRegressionSGDTrainer: Deprecated.

Trains model based on the specified data.
fitWithInitializedDeployingContext(DatasetBuilder<K, V>, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.svm.SVMLinearClassificationTrainer: Deprecated.

Trains model based on the specified data.
fitWithInitializedDeployingContext(DatasetBuilder<K, V>, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.trainers.AdaptableDatasetTrainer: Deprecated.

Trains model based on the specified data.
fitWithInitializedDeployingContext(DatasetBuilder<K, V>, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.trainers.DatasetTrainer: Deprecated.

Trains model based on the specified data.
fitWithInitializedDeployingContext(DatasetBuilder<K, V>, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.tree.DecisionTree: Deprecated.

Trains model based on the specified data.
fitWithInitializedDeployingContext(DatasetBuilder<K, V>, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.tree.randomforest.RandomForestTrainer: Deprecated.

Trains model based on the specified data.
flatten(double[][], int) - Static method in class org.apache.ignite.ml.math.util.MatrixUtil: Deprecated.
Fmeasure<L> - Class in org.apache.ignite.ml.selection.scoring.metric.classification: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
Fmeasure(L) - Constructor for class org.apache.ignite.ml.selection.scoring.metric.classification.Fmeasure: Deprecated.

The class of interest or positive class.
fn() - Method in class org.apache.ignite.ml.selection.scoring.metric.classification.BinaryClassificationMetricValues: Deprecated.
foldColumns(IgniteFunction<Vector, Double>) - Method in class org.apache.ignite.ml.math.primitives.matrix.AbstractMatrix: Deprecated.

Collects the results of applying a given function to all columns in this matrix.
foldColumns(IgniteFunction<Vector, Double>) - Method in interface org.apache.ignite.ml.math.primitives.matrix.Matrix: Deprecated.

Collects the results of applying a given function to all columns in this matrix.
foldMap(IgniteBiFunction<T, Double, T>, IgniteDoubleFunction<Double>, T) - Method in class org.apache.ignite.ml.math.primitives.matrix.AbstractMatrix: Deprecated.

Folds this matrix into a single value.
foldMap(IgniteBiFunction<T, Double, T>, IgniteDoubleFunction<Double>, T) - Method in interface org.apache.ignite.ml.math.primitives.matrix.Matrix: Deprecated.

Folds this matrix into a single value.
foldMap(IgniteBiFunction<T, Double, T>, IgniteDoubleFunction<Double>, T) - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.

Folds this vector into a single value.
foldMap(Vector, IgniteBiFunction<T, Double, T>, IgniteBiFunction<Double, Double, Double>, T) - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.

Combines & maps two vector and folds them into a single value.
foldMap(IgniteBiFunction<T, Double, T>, IgniteDoubleFunction<Double>, T) - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingVector: Deprecated.

Folds this vector into a single value.
foldMap(Vector, IgniteBiFunction<T, Double, T>, IgniteBiFunction<Double, Double, Double>, T) - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingVector: Deprecated.

Combines & maps two vector and folds them into a single value.
foldMap(IgniteBiFunction<T, Double, T>, IgniteDoubleFunction<Double>, T) - Method in interface org.apache.ignite.ml.math.primitives.vector.Vector: Deprecated.

Folds this vector into a single value.
foldMap(Vector, IgniteBiFunction<T, Double, T>, IgniteBiFunction<Double, Double, Double>, T) - Method in interface org.apache.ignite.ml.math.primitives.vector.Vector: Deprecated.

Combines & maps two vector and folds them into a single value.
foldRows(IgniteFunction<Vector, Double>) - Method in class org.apache.ignite.ml.math.primitives.matrix.AbstractMatrix: Deprecated.

Collects the results of applying a given function to all rows in this matrix.
foldRows(IgniteFunction<Vector, Double>) - Method in interface org.apache.ignite.ml.math.primitives.matrix.Matrix: Deprecated.

Collects the results of applying a given function to all rows in this matrix.
forwardPass(Matrix, MLPState, boolean) - Method in class org.apache.ignite.ml.nn.MultilayerPerceptron: Deprecated.

Perform forward pass and if needed write state of outputs of each layer.
fp() - Method in class org.apache.ignite.ml.selection.scoring.metric.classification.BinaryClassificationMetricValues: Deprecated.
fromList(List<Vector>, boolean) - Static method in class org.apache.ignite.ml.math.util.MatrixUtil: Deprecated.
Functions - Class in org.apache.ignite.ml.math.functions: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
Functions() - Constructor for class org.apache.ignite.ml.math.functions.Functions: Deprecated.
FutureWrapper(Future<T>) - Constructor for class org.apache.ignite.ml.environment.parallelism.DefaultParallelismStrategy.FutureWrapper: Deprecated.

Create an instance of FutureWrapper.

G

GAConfiguration - Class in org.apache.ignite.ml.genetic.parameter: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
GAConfiguration() - Constructor for class org.apache.ignite.ml.genetic.parameter.GAConfiguration: Deprecated.
GAGrid - Class in org.apache.ignite.ml.genetic: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
GAGrid(GAConfiguration, Ignite) - Constructor for class org.apache.ignite.ml.genetic.GAGrid: Deprecated.
GAGridConstants - Interface in org.apache.ignite.ml.genetic.parameter: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
GAGridConstants.SELECTION_METHOD - Enum in org.apache.ignite.ml.genetic.parameter: Deprecated.

Selection Method type
GAGridFunction - Class in org.apache.ignite.ml.genetic.functions: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
GAGridFunction() - Constructor for class org.apache.ignite.ml.genetic.functions.GAGridFunction: Deprecated.
GAGridUtils - Class in org.apache.ignite.ml.genetic.utils: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
GAGridUtils() - Constructor for class org.apache.ignite.ml.genetic.utils.GAGridUtils: Deprecated.
gauss(Vector, Vector, Long) - Static method in class org.apache.ignite.ml.util.generators.primitives.vector.VectorGeneratorPrimitives: Deprecated.

Returns vector generator of vectors from multidimension gauss distribution.
gauss(Vector, Vector) - Static method in class org.apache.ignite.ml.util.generators.primitives.vector.VectorGeneratorPrimitives: Deprecated.

Returns vector generator of vectors from multidimension gauss distribution.
GaussianMixtureDataStream - Class in org.apache.ignite.ml.util.generators.standard: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
GaussianMixtureDataStream.Builder - Class in org.apache.ignite.ml.util.generators.standard: Deprecated.

Builder for gaussian mixture.
GaussianNaiveBayesModel - Class in org.apache.ignite.ml.naivebayes.gaussian: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
GaussianNaiveBayesModel(double[][], double[][], double[], double[], GaussianNaiveBayesSumsHolder) - Constructor for class org.apache.ignite.ml.naivebayes.gaussian.GaussianNaiveBayesModel: Deprecated.
GaussianNaiveBayesTrainer - Class in org.apache.ignite.ml.naivebayes.gaussian: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
GaussianNaiveBayesTrainer() - Constructor for class org.apache.ignite.ml.naivebayes.gaussian.GaussianNaiveBayesTrainer: Deprecated.
GaussRandomProducer - Class in org.apache.ignite.ml.util.generators.primitives.scalar: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
GaussRandomProducer() - Constructor for class org.apache.ignite.ml.util.generators.primitives.scalar.GaussRandomProducer: Deprecated.

Creates an instance of GaussRandomProducer with mean = 0 and variance = 1.0.
GaussRandomProducer(long) - Constructor for class org.apache.ignite.ml.util.generators.primitives.scalar.GaussRandomProducer: Deprecated.

Creates an instance of GaussRandomProducer with mean = 0 and variance = 1.0.
GaussRandomProducer(double, double) - Constructor for class org.apache.ignite.ml.util.generators.primitives.scalar.GaussRandomProducer: Deprecated.

Creates an instance of GaussRandomProducer.
GaussRandomProducer(double, double, long) - Constructor for class org.apache.ignite.ml.util.generators.primitives.scalar.GaussRandomProducer: Deprecated.

Creates an instance of GaussRandomProducer.
GDBBinaryClassifierOnTreesTrainer - Class in org.apache.ignite.ml.tree.boosting: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
GDBBinaryClassifierOnTreesTrainer(double, Integer, int, double) - Constructor for class org.apache.ignite.ml.tree.boosting.GDBBinaryClassifierOnTreesTrainer: Deprecated.

Constructs instance of GDBBinaryClassifierOnTreesTrainer.
GDBBinaryClassifierTrainer - Class in org.apache.ignite.ml.composition.boosting: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
GDBBinaryClassifierTrainer(double, Integer) - Constructor for class org.apache.ignite.ml.composition.boosting.GDBBinaryClassifierTrainer: Deprecated.

Constructs instance of GDBBinaryClassifierTrainer.
GDBBinaryClassifierTrainer(double, Integer, Loss) - Constructor for class org.apache.ignite.ml.composition.boosting.GDBBinaryClassifierTrainer: Deprecated.

Constructs instance of GDBBinaryClassifierTrainer.
GDBLearningStrategy - Class in org.apache.ignite.ml.composition.boosting: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
GDBLearningStrategy() - Constructor for class org.apache.ignite.ml.composition.boosting.GDBLearningStrategy: Deprecated.
GDBModel(List<? extends IgniteModel<Vector, Double>>, WeightedPredictionsAggregator, IgniteFunction<Double, Double>) - Constructor for class org.apache.ignite.ml.composition.boosting.GDBTrainer.GDBModel: Deprecated.

Creates an instance of GDBModel.
GDBOnTreesLearningStrategy - Class in org.apache.ignite.ml.tree.boosting: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
GDBOnTreesLearningStrategy(boolean) - Constructor for class org.apache.ignite.ml.tree.boosting.GDBOnTreesLearningStrategy: Deprecated.

Create an instance of learning strategy.
GDBRegressionOnTreesTrainer - Class in org.apache.ignite.ml.tree.boosting: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
GDBRegressionOnTreesTrainer(double, Integer, int, double) - Constructor for class org.apache.ignite.ml.tree.boosting.GDBRegressionOnTreesTrainer: Deprecated.

Constructs instance of GDBRegressionOnTreesTrainer.
GDBRegressionTrainer - Class in org.apache.ignite.ml.composition.boosting: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
GDBRegressionTrainer(double, Integer) - Constructor for class org.apache.ignite.ml.composition.boosting.GDBRegressionTrainer: Deprecated.

Constructs instance of GDBRegressionTrainer.
GDBTrainer - Class in org.apache.ignite.ml.composition.boosting: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
GDBTrainer(double, Integer, Loss) - Constructor for class org.apache.ignite.ml.composition.boosting.GDBTrainer: Deprecated.

Constructs GDBTrainer instance.
GDBTrainer.GDBModel - Class in org.apache.ignite.ml.composition.boosting: Deprecated.

GDB model.
gemm(double, Matrix, Matrix, double, Matrix) - Static method in class org.apache.ignite.ml.math.Blas: Deprecated.

For the moment we have no flags indicating if matrix is transposed or not.
gemv(double, Matrix, Vector, double, Vector) - Static method in class org.apache.ignite.ml.math.Blas: Deprecated.

y := alpha * A * x + beta * y.
Gene - Class in org.apache.ignite.ml.genetic: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
Gene(Object) - Constructor for class org.apache.ignite.ml.genetic.Gene: Deprecated.

object Object parameter.
GENE_CACHE - Static variable in interface org.apache.ignite.ml.genetic.parameter.GAGridConstants: Deprecated.

populationCache constant
geneCache() - Static method in class org.apache.ignite.ml.genetic.cache.GeneCacheConfig: Deprecated.
GeneCacheConfig - Class in org.apache.ignite.ml.genetic.cache: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
GeneCacheConfig() - Constructor for class org.apache.ignite.ml.genetic.cache.GeneCacheConfig: Deprecated.
generate() - Method in class org.apache.ignite.ml.selection.paramgrid.ParameterSetGenerator: Deprecated.

Returns the list of tuples presented as arrays.
generateFeatureNames() - Method in class org.apache.ignite.ml.structures.Dataset: Deprecated.
GeneticAlgorithm - Class in org.apache.ignite.ml.util.genetic: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
GeneticAlgorithm(List<Double[]>) - Constructor for class org.apache.ignite.ml.util.genetic.GeneticAlgorithm: Deprecated.
get() - Method in class org.apache.ignite.ml.environment.parallelism.DefaultParallelismStrategy.FutureWrapper: Deprecated.
get(long, TimeUnit) - Method in class org.apache.ignite.ml.environment.parallelism.DefaultParallelismStrategy.FutureWrapper: Deprecated.
get() - Method in class org.apache.ignite.ml.environment.parallelism.NoParallelismStrategy.Stub: Deprecated.
get(long, TimeUnit) - Method in class org.apache.ignite.ml.environment.parallelism.NoParallelismStrategy.Stub: Deprecated.
get(String) - Method in class org.apache.ignite.ml.inference.storage.descriptor.IgniteModelDescriptorStorage: Deprecated.

Returns model descriptor saved for the specified model identifier.
get(String) - Method in class org.apache.ignite.ml.inference.storage.descriptor.LocalModelDescriptorStorage: Deprecated.

Returns model descriptor saved for the specified model identifier.
get(String) - Method in interface org.apache.ignite.ml.inference.storage.descriptor.ModelDescriptorStorage: Deprecated.

Returns model descriptor saved for the specified model identifier.
get(String) - Method in class org.apache.ignite.ml.inference.storage.model.IgniteModelStorageProvider: Deprecated.

Returns file or directory associated with the specified path.
get(String) - Method in class org.apache.ignite.ml.inference.storage.model.LocalModelStorageProvider: Deprecated.

Returns file or directory associated with the specified path.
get(String) - Method in interface org.apache.ignite.ml.inference.storage.model.ModelStorageProvider: Deprecated.

Returns file or directory associated with the specified path.
get(int, int) - Method in class org.apache.ignite.ml.math.primitives.matrix.AbstractMatrix: Deprecated.

Gets the matrix value at the provided location.
get() - Method in interface org.apache.ignite.ml.math.primitives.matrix.Matrix.Element: Deprecated.

Gets element's value.
get(int, int) - Method in interface org.apache.ignite.ml.math.primitives.matrix.Matrix: Deprecated.

Gets the matrix value at the provided location.
get(int, int) - Method in interface org.apache.ignite.ml.math.primitives.matrix.MatrixStorage: Deprecated.
get(int, int) - Method in class org.apache.ignite.ml.math.primitives.matrix.storage.DenseMatrixStorage: Deprecated.
get(int, int) - Method in class org.apache.ignite.ml.math.primitives.matrix.storage.SparseMatrixStorage: Deprecated.
get(int, int) - Method in class org.apache.ignite.ml.math.primitives.matrix.storage.ViewMatrixStorage: Deprecated.
get(int) - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.

Gets the value at specified index.
get(String) - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingNamedVector: Deprecated.

Returns element with specified string index.
get(int) - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingVector: Deprecated.

Gets the value at specified index.
get(String) - Method in interface org.apache.ignite.ml.math.primitives.vector.NamedVector: Deprecated.

Returns element with specified string index.
get(int) - Method in class org.apache.ignite.ml.math.primitives.vector.storage.DenseVectorStorage: Deprecated.

Gets element from vector by index and cast it to double.
get(int) - Method in class org.apache.ignite.ml.math.primitives.vector.storage.SparseVectorStorage: Deprecated.

Gets element from vector by index and cast it to double.
get(int) - Method in class org.apache.ignite.ml.math.primitives.vector.storage.VectorizedViewMatrixStorage: Deprecated.

Gets element from vector by index and cast it to double.
get(int) - Method in class org.apache.ignite.ml.math.primitives.vector.storage.VectorViewStorage: Deprecated.

Gets element from vector by index and cast it to double.
get() - Method in interface org.apache.ignite.ml.math.primitives.vector.Vector.Element: Deprecated.

Gets element's value.
get(int) - Method in interface org.apache.ignite.ml.math.primitives.vector.Vector: Deprecated.

Gets the value at specified index.
get(int) - Method in interface org.apache.ignite.ml.math.primitives.vector.VectorStorage: Deprecated.

Gets element from vector by index and cast it to double.
get(int) - Method in class org.apache.ignite.ml.structures.DatasetRow: Deprecated.

Gets the value at specified index.
get() - Method in class org.apache.ignite.ml.util.generators.primitives.scalar.DiscreteRandomProducer: Deprecated.
get() - Method in class org.apache.ignite.ml.util.generators.primitives.scalar.GaussRandomProducer: Deprecated.
get() - Method in class org.apache.ignite.ml.util.generators.primitives.scalar.UniformRandomProducer: Deprecated.
get() - Method in class org.apache.ignite.ml.util.generators.primitives.vector.ParametricVectorGenerator: Deprecated.
get() - Method in class org.apache.ignite.ml.util.generators.primitives.vector.VectorGeneratorsFamily: Deprecated.
getAcond() - Method in class org.apache.ignite.ml.math.isolve.lsqr.LSQRResult: Deprecated.
getAmountOfClusters() - Method in interface org.apache.ignite.ml.clustering.kmeans.ClusterizationModel: Deprecated.

Gets the clusters count.
getAmountOfClusters() - Method in class org.apache.ignite.ml.clustering.kmeans.KMeansModel: Deprecated.

Gets the clusters count.
getAmountOfClusters() - Method in class org.apache.ignite.ml.clustering.kmeans.KMeansTrainer: Deprecated.

Gets the amount of clusters.
getAmountOfEliteChromosomes() - Method in class org.apache.ignite.ml.selection.paramgrid.EvolutionOptimizationStrategy: Deprecated.
getAmountOfGenerations() - Method in class org.apache.ignite.ml.selection.paramgrid.EvolutionOptimizationStrategy: Deprecated.
getAmountOfIterations() - Method in class org.apache.ignite.ml.svm.SVMLinearClassificationTrainer: Deprecated.

Get the amount of outer iterations of SCDA algorithm.
getAmountOfLocIterations() - Method in class org.apache.ignite.ml.svm.SVMLinearClassificationTrainer: Deprecated.

Get the amount of local iterations of SCDA algorithm.
getAnorm() - Method in class org.apache.ignite.ml.math.isolve.lsqr.LSQRResult: Deprecated.
getArchSupplier() - Method in class org.apache.ignite.ml.nn.MLPTrainer: Deprecated.

Get the multilayer perceptron architecture supplier that defines layers and activators.
getArnorm() - Method in class org.apache.ignite.ml.math.isolve.lsqr.LSQRResult: Deprecated.
getAsyncModel(Ignite, String, AsyncModelBuilder) - Static method in class org.apache.ignite.ml.inference.IgniteModelStorageUtil: Deprecated.

Retrieves Ignite model by name using asynchronous model builder.
getAttribute(String) - Method in interface org.apache.ignite.ml.math.MetaAttributes: Deprecated.

Gets meta attribute with given name.
getAverageFitness() - Method in class org.apache.ignite.ml.util.genetic.Population: Deprecated.

Returns the average fitness of population or Double.NaN if not all fitnesses are calculated for all chromosomes.
getBatchSize() - Method in class org.apache.ignite.ml.nn.MLPTrainer: Deprecated.

Get the batch size (per every partition).
getBatchSize() - Method in class org.apache.ignite.ml.regressions.linear.LinearRegressionSGDTrainer: Deprecated.

Get the batch size.
getBatchSize() - Method in class org.apache.ignite.ml.regressions.logistic.LogisticRegressionSGDTrainer: Deprecated.

Get the batch size.
getBest(String) - Method in class org.apache.ignite.ml.selection.cv.CrossValidationResult: Deprecated.

Gets the best value for the specific hyper parameter.
getBestAvgScore() - Method in class org.apache.ignite.ml.selection.cv.CrossValidationResult: Deprecated.

Gets the the average value of best score array.
getBestHyperParams() - Method in class org.apache.ignite.ml.selection.cv.CrossValidationResult: Deprecated.

Gets the best hyper parameters set.
getBestScore() - Method in class org.apache.ignite.ml.selection.cv.CrossValidationResult: Deprecated.

Gets the best score for the specific hyper parameter.
getBias() - Method in class org.apache.ignite.ml.composition.predictionsaggregator.WeightedPredictionsAggregator: Deprecated.
getBucketId(Double) - Method in class org.apache.ignite.ml.dataset.feature.BucketMeta: Deprecated.

Returns bucket id for feature value.
getBucketThresholds() - Method in class org.apache.ignite.ml.naivebayes.discrete.DiscreteNaiveBayesModel: Deprecated.
getCandidates() - Method in class org.apache.ignite.ml.knn.ann.ANNClassificationModel: Deprecated.
getCandidates() - Method in class org.apache.ignite.ml.knn.ann.ANNModelFormat: Deprecated.
getCenters() - Method in interface org.apache.ignite.ml.clustering.kmeans.ClusterizationModel: Deprecated.

Get cluster centers.
getCenters() - Method in class org.apache.ignite.ml.clustering.kmeans.KMeansModel: Deprecated.

Get cluster centers.
getCenters() - Method in class org.apache.ignite.ml.clustering.kmeans.KMeansModelFormat: Deprecated.
getCentroidStat() - Method in class org.apache.ignite.ml.clustering.kmeans.KMeansTrainer.TotalCostAndCounts: Deprecated.
getCentroindsStat() - Method in class org.apache.ignite.ml.knn.ann.ANNClassificationModel: Deprecated.
getChromosome(int) - Method in class org.apache.ignite.ml.util.genetic.Population: Deprecated.

Returns an individual chromosome.
getChromosome(Integer) - Method in class org.apache.ignite.ml.util.genetic.Population: Deprecated.

Returns the chromosome by given index.
getChromosomeCriteria() - Method in class org.apache.ignite.ml.genetic.parameter.GAConfiguration: Deprecated.

retrieve the ChromosomeCriteria
getChromosomeLen() - Method in class org.apache.ignite.ml.genetic.parameter.GAConfiguration: Deprecated.

Retrieve the chromosome length
getChromosomes(Ignite, String) - Static method in class org.apache.ignite.ml.genetic.utils.GAGridUtils: Deprecated.

Retrieve chromosomes
getClassProbabilities() - Method in class org.apache.ignite.ml.naivebayes.gaussian.GaussianNaiveBayesModel: Deprecated.
getClassVoteForVector(boolean, double) - Method in class org.apache.ignite.ml.knn.NNClassificationModel: Deprecated.
getClassWithMaxVotes(Map<Double, Double>) - Method in class org.apache.ignite.ml.knn.NNClassificationModel: Deprecated.
getClsProbabilities() - Method in class org.apache.ignite.ml.naivebayes.discrete.DiscreteNaiveBayesModel: Deprecated.
getCntOfValues() - Method in class org.apache.ignite.ml.tree.randomforest.data.statistics.MeanValueStatistic: Deprecated.
getCol(int) - Method in class org.apache.ignite.ml.math.primitives.matrix.AbstractMatrix: Deprecated.

Get a specific row from matrix.
getCol(int) - Method in interface org.apache.ignite.ml.math.primitives.matrix.Matrix: Deprecated.

Get a specific row from matrix.
getCol() - Method in class org.apache.ignite.ml.tree.DecisionTreeConditionalNode: Deprecated.
getColumns() - Method in class org.apache.ignite.ml.math.isolve.lsqr.AbstractLSQR: Deprecated.
getColumns() - Method in class org.apache.ignite.ml.math.isolve.lsqr.LSQROnHeap: Deprecated.

Returns number of columns in dataset.
getCompositionWeights() - Method in class org.apache.ignite.ml.composition.boosting.GDBLearningStrategy: Deprecated.
getContext(Ignite, String, int) - Static method in class org.apache.ignite.ml.dataset.impl.cache.util.ComputeUtils: Deprecated.

Extracts partition context from the Ignite Cache.
getCopiedOriginalLabels() - Method in class org.apache.ignite.ml.tree.data.DecisionTreeData: Deprecated.
getCriteria() - Method in class org.apache.ignite.ml.genetic.parameter.ChromosomeCriteria: Deprecated.

Retrieve criteria
getCrossingoverProbability() - Method in class org.apache.ignite.ml.selection.paramgrid.EvolutionOptimizationStrategy: Deprecated.
getCrossOverRate() - Method in class org.apache.ignite.ml.genetic.parameter.GAConfiguration: Deprecated.

Retrieve the cross over rate
getCrossoverStgy() - Method in class org.apache.ignite.ml.selection.paramgrid.EvolutionOptimizationStrategy: Deprecated.
getCtx() - Method in class org.apache.ignite.ml.dataset.impl.local.LocalDataset: Deprecated.
getData(Ignite, String, IgniteBiPredicate<K, V>, UpstreamTransformerBuilder, String, UUID, PartitionDataBuilder<K, V, C, D>, LearningEnvironment, boolean) - Static method in class org.apache.ignite.ml.dataset.impl.cache.util.ComputeUtils: Deprecated.

Extracts partition data from the local storage, if it's not found in local storage recovers this data from a partition upstream and context.
getData() - Method in class org.apache.ignite.ml.dataset.impl.local.LocalDataset: Deprecated.
getDatasetCache() - Method in class org.apache.ignite.ml.dataset.impl.cache.CacheBasedDataset: Deprecated.
getDependencies() - Method in class org.apache.ignite.ml.clustering.gmm.GmmModel: Deprecated.

Returns dependencies of this object that can be object with class defined by client side and unknown for server.
getDependencies() - Method in class org.apache.ignite.ml.clustering.kmeans.KMeansModel: Deprecated.

Returns dependencies of this object that can be object with class defined by client side and unknown for server.
getDependencies() - Method in class org.apache.ignite.ml.composition.bagging.BaggedModel: Deprecated.

Returns dependencies of this object that can be object with class defined by client side and unknown for server.
getDependencies() - Method in class org.apache.ignite.ml.composition.ModelsComposition: Deprecated.

Returns dependencies of this object that can be object with class defined by client side and unknown for server.
getDependencies() - Method in class org.apache.ignite.ml.dataset.feature.extractor.impl.BinaryObjectVectorizer: Deprecated.

Returns dependencies of this object that can be object with class defined by client side and unknown for server.
getDependencies() - Method in class org.apache.ignite.ml.dataset.feature.extractor.impl.DoubleArrayVectorizer: Deprecated.

Returns dependencies of this object that can be object with class defined by client side and unknown for server.
getDependencies() - Method in class org.apache.ignite.ml.dataset.feature.extractor.impl.DummyVectorizer: Deprecated.

Returns dependencies of this object that can be object with class defined by client side and unknown for server.
getDependencies() - Method in class org.apache.ignite.ml.dataset.feature.extractor.impl.LabeledDummyVectorizer: Deprecated.

Returns dependencies of this object that can be object with class defined by client side and unknown for server.
getDependencies() - Method in interface org.apache.ignite.ml.environment.deploy.DeployableObject: Deprecated.

Returns dependencies of this object that can be object with class defined by client side and unknown for server.
getDependencies() - Method in class org.apache.ignite.ml.knn.NNClassificationModel: Deprecated.

Returns dependencies of this object that can be object with class defined by client side and unknown for server.
getDependencies() - Method in class org.apache.ignite.ml.pipeline.PipelineMdl: Deprecated.

Returns dependencies of this object that can be object with class defined by client side and unknown for server.
getDependencies() - Method in class org.apache.ignite.ml.preprocessing.binarization.BinarizationPreprocessor: Deprecated.

Returns dependencies of this object that can be object with class defined by client side and unknown for server.
getDependencies() - Method in class org.apache.ignite.ml.preprocessing.developer.MappedPreprocessor: Deprecated.

Returns dependencies of this object that can be object with class defined by client side and unknown for server.
getDependencies() - Method in class org.apache.ignite.ml.preprocessing.developer.PatchedPreprocessor: Deprecated.

Returns dependencies of this object that can be object with class defined by client side and unknown for server.
getDependencies() - Method in class org.apache.ignite.ml.preprocessing.encoding.onehotencoder.OneHotEncoderPreprocessor: Deprecated.

Returns dependencies of this object that can be object with class defined by client side and unknown for server.
getDependencies() - Method in class org.apache.ignite.ml.preprocessing.encoding.stringencoder.StringEncoderPreprocessor: Deprecated.

Returns dependencies of this object that can be object with class defined by client side and unknown for server.
getDependencies() - Method in class org.apache.ignite.ml.preprocessing.imputing.ImputerPreprocessor: Deprecated.

Returns dependencies of this object that can be object with class defined by client side and unknown for server.
getDependencies() - Method in class org.apache.ignite.ml.preprocessing.maxabsscaling.MaxAbsScalerPreprocessor: Deprecated.

Returns dependencies of this object that can be object with class defined by client side and unknown for server.
getDependencies() - Method in class org.apache.ignite.ml.preprocessing.minmaxscaling.MinMaxScalerPreprocessor: Deprecated.

Returns dependencies of this object that can be object with class defined by client side and unknown for server.
getDependencies() - Method in class org.apache.ignite.ml.preprocessing.normalization.NormalizationPreprocessor: Deprecated.

Returns dependencies of this object that can be object with class defined by client side and unknown for server.
getDependencies() - Method in class org.apache.ignite.ml.preprocessing.standardscaling.StandardScalerPreprocessor: Deprecated.

Returns dependencies of this object that can be object with class defined by client side and unknown for server.
getDepth() - Method in class org.apache.ignite.ml.tree.randomforest.data.TreeNode: Deprecated.
getDesc() - Method in class org.apache.ignite.ml.inference.ModelDescriptor: Deprecated.
getDistance() - Method in class org.apache.ignite.ml.clustering.kmeans.KMeansModelFormat: Deprecated.
getDistance() - Method in class org.apache.ignite.ml.clustering.kmeans.KMeansTrainer: Deprecated.

Gets the distance.
getDistance() - Method in class org.apache.ignite.ml.knn.ann.ANNClassificationTrainer: Deprecated.

Gets the distance.
getDistance() - Method in class org.apache.ignite.ml.knn.utils.PointWithDistance: Deprecated.
getDistanceMeasure() - Method in class org.apache.ignite.ml.knn.ann.KNNModelFormat: Deprecated.

Gets distance measure.
getDistanceMeasure() - Method in class org.apache.ignite.ml.knn.NNClassificationModel: Deprecated.
getDistances(Vector, LabeledVectorSet<LabeledVector<Double>>) - Method in class org.apache.ignite.ml.knn.NNClassificationModel: Deprecated.

Computes distances between given vector and each vector in training dataset.
getDistanceSquared(Vector) - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.

Get the square of the distance between this vector and the argument vector.
getDistanceSquared(Vector) - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingVector: Deprecated.

Get the square of the distance between this vector and the argument vector.
getDistanceSquared(Vector) - Method in interface org.apache.ignite.ml.math.primitives.vector.Vector: Deprecated.

Get the square of the distance between this vector and the argument vector.
getElement(int, int) - Method in class org.apache.ignite.ml.math.primitives.matrix.AbstractMatrix: Deprecated.

Gets the matrix's element at the given coordinates.
getElement(int, int) - Method in interface org.apache.ignite.ml.math.primitives.matrix.Matrix: Deprecated.

Gets the matrix's element at the given coordinates.
getElement(int) - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.

Gets element at the given index.
getElement(int) - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingVector: Deprecated.

Gets element at the given index.
getElement(int) - Method in interface org.apache.ignite.ml.math.primitives.vector.Vector: Deprecated.

Gets element at the given index.
getElitismCnt() - Method in class org.apache.ignite.ml.genetic.parameter.GAConfiguration: Deprecated.

Retrieve the elitism count
getElseNode() - Method in class org.apache.ignite.ml.tree.DecisionTreeConditionalNode: Deprecated.
getEpsilon() - Method in class org.apache.ignite.ml.clustering.kmeans.KMeansTrainer: Deprecated.

Gets the epsilon.
getEpsilon() - Method in class org.apache.ignite.ml.knn.ann.ANNClassificationTrainer: Deprecated.

Gets the epsilon.
getFeatureId() - Method in class org.apache.ignite.ml.dataset.feature.FeatureMeta: Deprecated.
getFeatureMeta() - Method in class org.apache.ignite.ml.dataset.feature.BucketMeta: Deprecated.
getFeatureName(int) - Method in class org.apache.ignite.ml.structures.Dataset: Deprecated.

Returns feature name for column with given index.
getFeatures() - Method in class org.apache.ignite.ml.dataset.primitive.data.SimpleDatasetData: Deprecated.
getFeatures() - Method in class org.apache.ignite.ml.dataset.primitive.data.SimpleLabeledDatasetData: Deprecated.
getFeatures() - Method in class org.apache.ignite.ml.dataset.primitive.FeatureMatrixWithLabelsOnHeapData: Deprecated.
getFeaturesMapping() - Method in class org.apache.ignite.ml.composition.ModelOnFeaturesSubspace: Deprecated.

Returns features mapping.
getFeatureValue(DecisionTreeData, TreeDataIndex, int, int) - Method in class org.apache.ignite.ml.tree.impurity.ImpurityMeasureCalculator: Deprecated.

Returns feature value in according to kth order statistic.
getFeatureValues(DecisionTreeData, TreeDataIndex, int, int) - Method in class org.apache.ignite.ml.tree.impurity.ImpurityMeasureCalculator: Deprecated.

Returns feature value in according to kth order statistic.
getFile(String) - Method in class org.apache.ignite.ml.inference.storage.model.DefaultModelStorage: Deprecated.

Returns file content.
getFile(String) - Method in interface org.apache.ignite.ml.inference.storage.model.ModelStorage: Deprecated.

Returns file content.
getFileName() - Method in enum org.apache.ignite.ml.util.MLSandboxDatasets: Deprecated.
getFileStat(String) - Method in class org.apache.ignite.ml.inference.storage.model.DefaultModelStorage: Deprecated.

Returns statistics for file.
getFileStat(String) - Method in interface org.apache.ignite.ml.inference.storage.model.ModelStorage: Deprecated.

Returns statistics for file.
getFitness() - Method in class org.apache.ignite.ml.util.genetic.Chromosome: Deprecated.

Returns the fitness value.
getFitnessFunction() - Method in class org.apache.ignite.ml.genetic.parameter.GAConfiguration: Deprecated.

Retrieve IFitnessFunction
getFitnessScore() - Method in class org.apache.ignite.ml.genetic.Chromosome: Deprecated.

Gets the fitnessScore
getGain() - Method in class org.apache.ignite.ml.tree.randomforest.data.NodeSplit: Deprecated.
getGene(int) - Method in class org.apache.ignite.ml.util.genetic.Chromosome: Deprecated.

Returns the gene value by index.
getGenePool() - Method in class org.apache.ignite.ml.genetic.parameter.GAConfiguration: Deprecated.

Retrieve the gene pool
getGenes() - Method in class org.apache.ignite.ml.genetic.Chromosome: Deprecated.

Gets the gene keys (ie: primary keys) for this chromosome
getGenesInOrderForChromosome(Ignite, Chromosome) - Static method in class org.apache.ignite.ml.genetic.utils.GAGridUtils: Deprecated.

Retrieve genes in order
getHyperParameterTuningStrategy() - Method in class org.apache.ignite.ml.selection.paramgrid.ParamGrid: Deprecated.

Returns the Hyper-parameter tuning strategy.
getId() - Method in class org.apache.ignite.ml.tree.randomforest.data.TreeNode: Deprecated.
getImpurity() - Method in class org.apache.ignite.ml.tree.randomforest.data.NodeSplit: Deprecated.
getImpurity() - Method in class org.apache.ignite.ml.tree.randomforest.data.TreeNode: Deprecated.
getImpurityMeasureCalculator(Dataset<EmptyContext, DecisionTreeData>) - Method in class org.apache.ignite.ml.tree.DecisionTree: Deprecated.

Returns impurity measure calculator.
getImpurityMeasureCalculator(Dataset<EmptyContext, DecisionTreeData>) - Method in class org.apache.ignite.ml.tree.DecisionTreeClassificationTrainer: Deprecated.

Returns impurity measure calculator.
getImpurityMeasureCalculator(Dataset<EmptyContext, DecisionTreeData>) - Method in class org.apache.ignite.ml.tree.DecisionTreeRegressionTrainer: Deprecated.

Returns impurity measure calculator.
getInputMsg() - Method in class org.apache.ignite.ml.inference.ModelSignature: Deprecated.
getInt() - Method in class org.apache.ignite.ml.util.generators.primitives.scalar.DiscreteRandomProducer: Deprecated.
getIntercept() - Method in class org.apache.ignite.ml.regressions.linear.LinearRegressionModel: Deprecated.
getInternalMdl() - Method in class org.apache.ignite.ml.pipeline.PipelineMdl: Deprecated.
getIsstop() - Method in class org.apache.ignite.ml.math.isolve.lsqr.LSQRResult: Deprecated.
getIterations() - Method in class org.apache.ignite.ml.math.isolve.IterativeSolverResult: Deprecated.
getK() - Method in class org.apache.ignite.ml.knn.ann.ANNClassificationTrainer: Deprecated.

Gets the amount of clusters.
getK() - Method in class org.apache.ignite.ml.knn.ann.KNNModelFormat: Deprecated.

Gets amount of nearest neighbors.
getKClosestVectors(LabeledVectorSet<LabeledVector>, TreeMap<Double, Set<Integer>>) - Method in class org.apache.ignite.ml.knn.NNClassificationModel: Deprecated.

Iterates along entries in distance map and fill the resulting k-element array.
getKey() - Method in class org.apache.ignite.ml.dataset.UpstreamEntry: Deprecated.
getKeys() - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingNamedVector: Deprecated.

Returns list of string indexes used in this vector.
getKeys() - Method in interface org.apache.ignite.ml.math.primitives.vector.NamedVector: Deprecated.

Returns list of string indexes used in this vector.
getL() - Method in class org.apache.ignite.ml.math.primitives.matrix.LUDecomposition: Deprecated.

Returns the matrix L of the decomposition.
getLabel() - Method in class org.apache.ignite.ml.util.MnistUtils.MnistLabeledImage: Deprecated.
getLabels() - Method in class org.apache.ignite.ml.dataset.primitive.data.SimpleLabeledDatasetData: Deprecated.
getLabels() - Method in class org.apache.ignite.ml.dataset.primitive.FeatureMatrixWithLabelsOnHeapData: Deprecated.
getLabelValue(DecisionTreeData, TreeDataIndex, int, int) - Method in class org.apache.ignite.ml.tree.impurity.ImpurityMeasureCalculator: Deprecated.

Returns label value in according to kth order statistic.
getLambda() - Method in class org.apache.ignite.ml.svm.SVMLinearClassificationTrainer: Deprecated.

Get the regularization lambda.
getLastTrainedModelOrThrowEmptyDatasetException(M) - Method in class org.apache.ignite.ml.trainers.DatasetTrainer: Deprecated.

Used on update phase when given dataset is empty.
getLeafs() - Method in class org.apache.ignite.ml.tree.randomforest.data.TreeRoot: Deprecated.
getLearningEnvironment(Ignite, UUID, int, LearningEnvironmentBuilder) - Static method in class org.apache.ignite.ml.dataset.impl.cache.util.ComputeUtils: Deprecated.

Gets learning environment for given partition.
getLearningStrategy() - Method in class org.apache.ignite.ml.composition.boosting.GDBTrainer: Deprecated.

Returns learning strategy.
getLearningStrategy() - Method in class org.apache.ignite.ml.tree.boosting.GDBBinaryClassifierOnTreesTrainer: Deprecated.

Returns learning strategy.
getLearningStrategy() - Method in class org.apache.ignite.ml.tree.boosting.GDBRegressionOnTreesTrainer: Deprecated.

Returns learning strategy.
getLeft() - Method in class org.apache.ignite.ml.tree.impurity.gini.GiniImpurityMeasure: Deprecated.
getLeft() - Method in class org.apache.ignite.ml.tree.randomforest.data.TreeNode: Deprecated.
getLeftCnt() - Method in class org.apache.ignite.ml.tree.impurity.mse.MSEImpurityMeasure: Deprecated.
getLeftY() - Method in class org.apache.ignite.ml.tree.impurity.mse.MSEImpurityMeasure: Deprecated.
getLeftY2() - Method in class org.apache.ignite.ml.tree.impurity.mse.MSEImpurityMeasure: Deprecated.
getLengthSquared() - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.

Gets the sum of squares of all elements in this vector.
getLengthSquared() - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingVector: Deprecated.

Gets the sum of squares of all elements in this vector.
getLengthSquared() - Method in interface org.apache.ignite.ml.math.primitives.vector.Vector: Deprecated.

Gets the sum of squares of all elements in this vector.
getLocIterations() - Method in class org.apache.ignite.ml.nn.MLPTrainer: Deprecated.

Get the maximal number of local iterations before synchronization.
getLocIterations() - Method in class org.apache.ignite.ml.regressions.linear.LinearRegressionSGDTrainer: Deprecated.

Get the amount of local iterations.
getLocIterations() - Method in class org.apache.ignite.ml.regressions.logistic.LogisticRegressionSGDTrainer: Deprecated.

Get the amount of local iterations.
getLoss() - Method in class org.apache.ignite.ml.nn.MLPTrainer: Deprecated.

Get the loss function to be minimized during the training.
getMapping(int, int, long) - Static method in class org.apache.ignite.ml.composition.bagging.BaggedTrainer: Deprecated.

Get mapping R^featuresVectorSize -> R^maximumFeaturesCntPerMdl.
getMapping(int, int, long) - Static method in class org.apache.ignite.ml.trainers.TrainerTransformers: Deprecated.

Get mapping R^featuresVectorSize -> R^maximumFeaturesCntPerMdl.
getMax() - Method in class org.apache.ignite.ml.preprocessing.minmaxscaling.MinMaxScalerPartitionData: Deprecated.
getMax() - Method in class org.apache.ignite.ml.preprocessing.minmaxscaling.MinMaxScalerPreprocessor: Deprecated.
getMaxAbs() - Method in class org.apache.ignite.ml.preprocessing.maxabsscaling.MaxAbsScalerPartitionData: Deprecated.
getMaxAbs() - Method in class org.apache.ignite.ml.preprocessing.maxabsscaling.MaxAbsScalerPreprocessor: Deprecated.
getMaxDeep() - Method in class org.apache.ignite.ml.tree.DecisionTreeClassificationTrainer: Deprecated.
getMaxDepth() - Method in class org.apache.ignite.ml.tree.boosting.GDBBinaryClassifierOnTreesTrainer: Deprecated.

Get the max depth.
getMaxDepth() - Method in class org.apache.ignite.ml.tree.boosting.GDBRegressionOnTreesTrainer: Deprecated.

Get the max depth.
getMaxIterations() - Method in class org.apache.ignite.ml.clustering.kmeans.KMeansTrainer: Deprecated.

Gets the max number of iterations before convergence.
getMaxIterations() - Method in class org.apache.ignite.ml.knn.ann.ANNClassificationTrainer: Deprecated.

Gets the max number of iterations before convergence.
getMaxIterations() - Method in class org.apache.ignite.ml.nn.MLPTrainer: Deprecated.

Get the maximal number of iterations before the training will be stopped.
getMaxIterations() - Method in class org.apache.ignite.ml.regressions.linear.LinearRegressionSGDTrainer: Deprecated.

Get the max amount of iterations.
getMaxIterations() - Method in class org.apache.ignite.ml.regressions.logistic.LogisticRegressionSGDTrainer: Deprecated.

Get the max amount of iterations.
getMaxTries() - Method in class org.apache.ignite.ml.selection.paramgrid.RandomStrategy: Deprecated.

Returns the max number of tries to stop the hyperparameter search.
getMdl() - Method in class org.apache.ignite.ml.composition.ModelOnFeaturesSubspace: Deprecated.

Returns model.
getMdlDescStorageBackups() - Method in class org.apache.ignite.ml.util.plugin.MLPluginConfiguration: Deprecated.
getMdlStorageBackups() - Method in class org.apache.ignite.ml.util.plugin.MLPluginConfiguration: Deprecated.
getMeans() - Method in class org.apache.ignite.ml.naivebayes.gaussian.GaussianNaiveBayesModel: Deprecated.
getMeans() - Method in class org.apache.ignite.ml.preprocessing.standardscaling.StandardScalerPreprocessor: Deprecated.
getMeanValue() - Method in class org.apache.ignite.ml.composition.boosting.GDBLearningStrategy: Deprecated.
getMetaStorage() - Method in interface org.apache.ignite.ml.math.MetaAttributes: Deprecated.

Implementation should return an instance of the map to store meta attributes.
getMetaStorage() - Method in class org.apache.ignite.ml.math.primitives.matrix.AbstractMatrix: Deprecated.

Implementation should return an instance of the map to store meta attributes.
getMetaStorage() - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.

Implementation should return an instance of the map to store meta attributes.
getMetaStorage() - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingVector: Deprecated.

Implementation should return an instance of the map to store meta attributes.
getMin() - Method in class org.apache.ignite.ml.preprocessing.minmaxscaling.MinMaxScalerPartitionData: Deprecated.
getMin() - Method in class org.apache.ignite.ml.preprocessing.minmaxscaling.MinMaxScalerPreprocessor: Deprecated.
getMinImpurityDecrease() - Method in class org.apache.ignite.ml.tree.boosting.GDBBinaryClassifierOnTreesTrainer: Deprecated.

Get the min impurity decrease.
getMinImpurityDecrease() - Method in class org.apache.ignite.ml.tree.boosting.GDBRegressionOnTreesTrainer: Deprecated.

Get the min impurity decrease.
getMinImpurityDecrease() - Method in class org.apache.ignite.ml.tree.DecisionTreeClassificationTrainer: Deprecated.
getMissingNode() - Method in class org.apache.ignite.ml.tree.DecisionTreeConditionalNode: Deprecated.
getModel(Ignite, String) - Static method in class org.apache.ignite.ml.inference.IgniteModelStorageUtil: Deprecated.

Retrieves Ignite model by name using SingleModelBuilder.
getModel(Double) - Method in class org.apache.ignite.ml.multiclass.MultiClassModel: Deprecated.
getModelDescriptorStorage(Ignite) - Method in class org.apache.ignite.ml.inference.storage.descriptor.ModelDescriptorStorageFactory: Deprecated.

Returns model descriptor storage based on Apache Ignite cache.
getModels() - Method in class org.apache.ignite.ml.composition.ModelsComposition: Deprecated.

Returns containing models.
getModelStorage(Ignite) - Method in class org.apache.ignite.ml.inference.storage.model.ModelStorageFactory: Deprecated.

Returns model storage based on Apache Ignite cache.
getModificationTime() - Method in class org.apache.ignite.ml.inference.storage.model.FileStat: Deprecated.
getModificationTs() - Method in interface org.apache.ignite.ml.inference.storage.model.FileOrDirectory: Deprecated.

Returns time since file modification.
getMutationProbability() - Method in class org.apache.ignite.ml.selection.paramgrid.EvolutionOptimizationStrategy: Deprecated.
getMutationRate() - Method in class org.apache.ignite.ml.genetic.parameter.GAConfiguration: Deprecated.

Retrieve the mutation rate.
getName() - Method in class org.apache.ignite.ml.dataset.feature.FeatureMeta: Deprecated.
getName() - Method in class org.apache.ignite.ml.inference.ModelDescriptor: Deprecated.
getName() - Method in class org.apache.ignite.ml.selection.paramgrid.BruteForceStrategy: Deprecated.

Returns the name of strategy.
getName() - Method in class org.apache.ignite.ml.selection.paramgrid.EvolutionOptimizationStrategy: Deprecated.

Returns the name of strategy.
getName() - Method in class org.apache.ignite.ml.selection.paramgrid.HyperParameterTuningStrategy: Deprecated.

Returns the name of strategy.
getName() - Method in class org.apache.ignite.ml.selection.paramgrid.RandomStrategy: Deprecated.

Returns the name of strategy.
getNodeId() - Method in class org.apache.ignite.ml.tree.randomforest.data.impurity.ImpurityHistogramsComputer.NodeImpurityHistograms: Deprecated.
getObj() - Method in class org.apache.ignite.ml.recommendation.ObjectSubjectPair: Deprecated.

Returns object of recommendation.
getObjects() - Method in class org.apache.ignite.ml.recommendation.util.RecommendationDatasetData: Deprecated.

Returns set of objects contained in RecommendationDatasetData.ratings.
getObjGrad() - Method in class org.apache.ignite.ml.recommendation.util.MatrixFactorizationGradient: Deprecated.

Returns gradient of object of recommendation matrix (unmodifiable).
getOpt() - Method in interface org.apache.ignite.ml.environment.parallelism.Promise: Deprecated.

Wrap result of Future to Optional-object.
getOutputMsg() - Method in class org.apache.ignite.ml.inference.ModelSignature: Deprecated.
getP() - Method in class org.apache.ignite.ml.math.primitives.matrix.LUDecomposition: Deprecated.

Returns the P rows permutation matrix.
getParallelism() - Method in class org.apache.ignite.ml.environment.parallelism.DefaultParallelismStrategy: Deprecated.

Returns default parallelism.
getParallelism() - Method in class org.apache.ignite.ml.environment.parallelism.NoParallelismStrategy: Deprecated.

Returns default parallelism.
getParallelism() - Method in interface org.apache.ignite.ml.environment.parallelism.ParallelismStrategy: Deprecated.

Returns default parallelism.
getParamNameByIndex(int) - Method in class org.apache.ignite.ml.selection.paramgrid.ParamGrid: Deprecated.

Returns the name of hyper-parameter by the given index.
getParamRawData() - Method in class org.apache.ignite.ml.selection.paramgrid.ParamGrid: Deprecated.

Prepare data for hyper-parameter tuning.
getParamValuesByParamIdx() - Method in class org.apache.ignite.ml.selection.paramgrid.ParamGrid: Deprecated.
getParser() - Method in class org.apache.ignite.ml.inference.ModelDescriptor: Deprecated.
getPivot() - Method in class org.apache.ignite.ml.math.primitives.matrix.LUDecomposition: Deprecated.

Returns the pivot permutation vector.
getPixels() - Method in class org.apache.ignite.ml.util.MnistUtils.MnistImage: Deprecated.
getPnt() - Method in class org.apache.ignite.ml.knn.utils.PointWithDistance: Deprecated.
getPopulationSize() - Method in class org.apache.ignite.ml.genetic.parameter.GAConfiguration: Deprecated.

Retrieve the population size
getPrediction() - Method in class org.apache.ignite.ml.selection.scoring.LabelPair: Deprecated.
getPredictionsAggregator() - Method in class org.apache.ignite.ml.composition.ModelsComposition: Deprecated.

Returns predictions aggregator.
getPreprocessor() - Method in class org.apache.ignite.ml.pipeline.PipelineMdl: Deprecated.
getProbabilities() - Method in class org.apache.ignite.ml.naivebayes.discrete.DiscreteNaiveBayesModel: Deprecated.
getProjector(int[]) - Static method in class org.apache.ignite.ml.math.primitives.vector.VectorUtils: Deprecated.

Get projector from index mapping.
getR1norm() - Method in class org.apache.ignite.ml.math.isolve.lsqr.LSQRResult: Deprecated.
getR2norm() - Method in class org.apache.ignite.ml.math.isolve.lsqr.LSQRResult: Deprecated.
getRating() - Method in class org.apache.ignite.ml.recommendation.ObjectSubjectRatingTriplet: Deprecated.

Returns rating.
getRaw(int) - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.

Gets the value at specified index.
getRaw(int) - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingVector: Deprecated.

Gets the value at specified index.
getRaw(int) - Method in class org.apache.ignite.ml.math.primitives.vector.storage.DenseVectorStorage: Deprecated.
getRaw(int) - Method in class org.apache.ignite.ml.math.primitives.vector.storage.SparseVectorStorage: Deprecated.
getRaw(int) - Method in class org.apache.ignite.ml.math.primitives.vector.storage.VectorizedViewMatrixStorage: Deprecated.
getRaw(int) - Method in class org.apache.ignite.ml.math.primitives.vector.storage.VectorViewStorage: Deprecated.
getRaw() - Method in interface org.apache.ignite.ml.math.primitives.vector.Vector.Element: Deprecated.

Gets element's value.
getRaw(int) - Method in interface org.apache.ignite.ml.math.primitives.vector.Vector: Deprecated.

Gets the value at specified index.
getRaw(int) - Method in interface org.apache.ignite.ml.math.primitives.vector.VectorStorage: Deprecated.
getRaw(int) - Method in class org.apache.ignite.ml.structures.DatasetRow: Deprecated.

Gets the value at specified index.
getRawX(int) - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.

Gets the value at specified index without checking for index boundaries.
getRawX(int) - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingVector: Deprecated.

Gets the value at specified index without checking for index boundaries.
getRawX(int) - Method in interface org.apache.ignite.ml.math.primitives.vector.Vector: Deprecated.

Gets the value at specified index without checking for index boundaries.
getReader() - Method in class org.apache.ignite.ml.inference.ModelDescriptor: Deprecated.
getRight() - Method in class org.apache.ignite.ml.tree.impurity.gini.GiniImpurityMeasure: Deprecated.
getRight() - Method in class org.apache.ignite.ml.tree.randomforest.data.TreeNode: Deprecated.
getRightCnt() - Method in class org.apache.ignite.ml.tree.impurity.mse.MSEImpurityMeasure: Deprecated.
getRightY() - Method in class org.apache.ignite.ml.tree.impurity.mse.MSEImpurityMeasure: Deprecated.
getRightY2() - Method in class org.apache.ignite.ml.tree.impurity.mse.MSEImpurityMeasure: Deprecated.
getRootNode() - Method in class org.apache.ignite.ml.tree.randomforest.data.TreeRoot: Deprecated.
getRow(int) - Method in class org.apache.ignite.ml.dataset.impl.bootstrapping.BootstrappedDatasetPartition: Deprecated.

Returns vector from dataset in according to row id.
getRow(int) - Method in class org.apache.ignite.ml.math.primitives.matrix.AbstractMatrix: Deprecated.

Get a specific row from matrix.
getRow(int) - Method in interface org.apache.ignite.ml.math.primitives.matrix.Matrix: Deprecated.

Get a specific row from matrix.
getRow(int) - Method in class org.apache.ignite.ml.structures.Dataset: Deprecated.

Retrieves Labeled Vector by given index.
getRows() - Method in class org.apache.ignite.ml.dataset.primitive.data.SimpleDatasetData: Deprecated.
getRows() - Method in class org.apache.ignite.ml.dataset.primitive.data.SimpleLabeledDatasetData: Deprecated.
getRows() - Method in class org.apache.ignite.ml.recommendation.util.MatrixFactorizationGradient: Deprecated.

Returns number of rows the gradient calculated on.
getRowsCount() - Method in class org.apache.ignite.ml.dataset.impl.bootstrapping.BootstrappedDatasetPartition: Deprecated.

Returns rows count.
getSatisfactoryFitness() - Method in class org.apache.ignite.ml.selection.paramgrid.RandomStrategy: Deprecated.
getSchema() - Method in class org.apache.ignite.ml.inference.ModelSignature: Deprecated.
getScoringBoard() - Method in class org.apache.ignite.ml.selection.cv.CrossValidationResult: Deprecated.

Gets the Scoring Board.
getSeed() - Method in class org.apache.ignite.ml.nn.MLPTrainer: Deprecated.

Get the multilayer perceptron model initializer.
getSeed() - Method in class org.apache.ignite.ml.regressions.linear.LinearRegressionSGDTrainer: Deprecated.

Get the seed for random generator.
getSeed() - Method in class org.apache.ignite.ml.regressions.logistic.LogisticRegressionSGDTrainer: Deprecated.

Get the seed for random generator.
getSeed() - Method in class org.apache.ignite.ml.selection.paramgrid.EvolutionOptimizationStrategy: Deprecated.
getSeed() - Method in class org.apache.ignite.ml.selection.paramgrid.RandomStrategy: Deprecated.

Returns the seed.
getSeed() - Method in class org.apache.ignite.ml.svm.SVMLinearClassificationTrainer: Deprecated.

Get the seed number.
getSelectionMtd() - Method in class org.apache.ignite.ml.genetic.parameter.GAConfiguration: Deprecated.

Get the selection method
getSelectionStgy() - Method in class org.apache.ignite.ml.selection.paramgrid.EvolutionOptimizationStrategy: Deprecated.
getSeparator() - Method in enum org.apache.ignite.ml.util.MLSandboxDatasets: Deprecated.
getSetterByIndex(int) - Method in class org.apache.ignite.ml.selection.paramgrid.ParamGrid: Deprecated.

Returns setter for parameter with the given index.
getSigmas() - Method in class org.apache.ignite.ml.preprocessing.standardscaling.StandardScalerPreprocessor: Deprecated.
getSignature() - Method in class org.apache.ignite.ml.inference.ModelDescriptor: Deprecated.
getSize() - Method in class org.apache.ignite.ml.inference.storage.model.FileStat: Deprecated.
getSolutionById(int) - Static method in class org.apache.ignite.ml.genetic.functions.GAGridFunction: Deprecated.

Retrieve and individual solution by Chromosome key.
getSolutionsAsc() - Static method in class org.apache.ignite.ml.genetic.functions.GAGridFunction: Deprecated.

Retrieve solutions in ascending order based on fitness score.
getSolutionsDesc() - Static method in class org.apache.ignite.ml.genetic.functions.GAGridFunction: Deprecated.

Retrieve solutions in descending order based on fitness score.
getStorage() - Method in class org.apache.ignite.ml.math.primitives.matrix.AbstractMatrix: Deprecated.

Gets matrix storage model.
getStorage() - Method in interface org.apache.ignite.ml.math.primitives.matrix.Matrix: Deprecated.

Gets matrix storage model.
getStorage() - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.

Gets vector storage model.
getStorage() - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingVector: Deprecated.

Gets vector storage model.
getStorage() - Method in interface org.apache.ignite.ml.math.primitives.vector.Vector: Deprecated.

Gets vector storage model.
getSubj() - Method in class org.apache.ignite.ml.recommendation.ObjectSubjectPair: Deprecated.

Returns subject of recommendation.
getSubjects() - Method in class org.apache.ignite.ml.recommendation.util.RecommendationDatasetData: Deprecated.

Returns set of subjects contained in RecommendationDatasetData.ratings.
getSubjGrad() - Method in class org.apache.ignite.ml.recommendation.util.MatrixFactorizationGradient: Deprecated.

Returns gradient of subject of recommendation function (unmodifiable).
getSumOfValues() - Method in class org.apache.ignite.ml.tree.randomforest.data.statistics.MeanValueStatistic: Deprecated.
getSumsHolder() - Method in class org.apache.ignite.ml.naivebayes.discrete.DiscreteNaiveBayesModel: Deprecated.
getSumsHolder() - Method in class org.apache.ignite.ml.naivebayes.gaussian.GaussianNaiveBayesModel: Deprecated.
getSyncModel(Ignite, String, SyncModelBuilder) - Static method in class org.apache.ignite.ml.inference.IgniteModelStorageUtil: Deprecated.

Retrieves Ignite model by name using synchronous model builder.
getTerminateCriteria() - Method in class org.apache.ignite.ml.genetic.parameter.GAConfiguration: Deprecated.

Retreive the termination criteria
getTestFilter() - Method in class org.apache.ignite.ml.selection.split.TrainTestSplit: Deprecated.
getTheBestSolution() - Method in class org.apache.ignite.ml.util.genetic.GeneticAlgorithm: Deprecated.

Returns the best chromosome's genes presented as double array.
getThenNode() - Method in class org.apache.ignite.ml.tree.DecisionTreeConditionalNode: Deprecated.
getThreshold() - Method in class org.apache.ignite.ml.preprocessing.binarization.BinarizationPreprocessor: Deprecated.

Get the threshold parameter.
getThreshold() - Method in class org.apache.ignite.ml.preprocessing.binarization.BinarizationTrainer: Deprecated.

Get the threshold parameter value.
getThreshold() - Method in class org.apache.ignite.ml.tree.DecisionTreeConditionalNode: Deprecated.
getTotalFitness() - Method in class org.apache.ignite.ml.util.genetic.Population: Deprecated.

Returns the total fitness value of population or Double.NaN if not all fitnesses are calculated for all chromosomes.
getTrainer() - Method in class org.apache.ignite.ml.pipeline.Pipeline: Deprecated.

Returns trainer.
getTrainFilter() - Method in class org.apache.ignite.ml.selection.split.TrainTestSplit: Deprecated.
getTruncateRate() - Method in class org.apache.ignite.ml.genetic.parameter.GAConfiguration: Deprecated.

Retrieve truncateRate
getTruth() - Method in class org.apache.ignite.ml.selection.scoring.LabelPair: Deprecated.
getType() - Method in class org.apache.ignite.ml.tree.randomforest.data.TreeNode: Deprecated.
getU() - Method in class org.apache.ignite.ml.math.isolve.lsqr.LSQRPartitionContext: Deprecated.
getU() - Method in class org.apache.ignite.ml.math.primitives.matrix.LUDecomposition: Deprecated.

Returns the matrix U of the decomposition.
getUpdatesCalculator() - Method in class org.apache.ignite.ml.nn.UpdatesStrategy: Deprecated.

Get parameter update calculator (see ParameterUpdateCalculator).
getUpdatesStgy() - Method in class org.apache.ignite.ml.nn.MLPTrainer: Deprecated.

Get the update strategy that defines how to update model parameters during the training.
getUpdatesStgy() - Method in class org.apache.ignite.ml.regressions.linear.LinearRegressionSGDTrainer: Deprecated.

Get the update strategy.
getUpdatesStgy() - Method in class org.apache.ignite.ml.regressions.logistic.LogisticRegressionSGDTrainer: Deprecated.

Get the update strategy.
getUpstreamCache() - Method in class org.apache.ignite.ml.dataset.impl.cache.CacheBasedDataset: Deprecated.
getUsedFeatures() - Method in class org.apache.ignite.ml.tree.randomforest.data.TreeRoot: Deprecated.
getVal() - Method in class org.apache.ignite.ml.genetic.Gene: Deprecated.
getVal() - Method in class org.apache.ignite.ml.tree.DecisionTreeLeafNode: Deprecated.
getVal() - Method in class org.apache.ignite.ml.tree.randomforest.data.NodeSplit: Deprecated.
getValue(Integer) - Method in interface org.apache.ignite.ml.dataset.feature.Histogram: Deprecated.
getValue(Integer) - Method in class org.apache.ignite.ml.dataset.feature.ObjectHistogram: Deprecated.
getValue() - Method in class org.apache.ignite.ml.dataset.UpstreamEntry: Deprecated.
getValue(Integer) - Method in class org.apache.ignite.ml.tree.randomforest.data.impurity.GiniHistogram: Deprecated.
getValue(Integer) - Method in class org.apache.ignite.ml.tree.randomforest.data.impurity.MSEHistogram: Deprecated.
getVar() - Method in class org.apache.ignite.ml.math.isolve.lsqr.LSQRResult: Deprecated.
getVariances() - Method in class org.apache.ignite.ml.naivebayes.gaussian.GaussianNaiveBayesModel: Deprecated.
getVector() - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingVector: Deprecated.

Get the delegating vector
getWeights() - Method in class org.apache.ignite.ml.composition.predictionsaggregator.WeightedPredictionsAggregator: Deprecated.
getWeights() - Method in class org.apache.ignite.ml.regressions.linear.LinearRegressionModel: Deprecated.
getWithId() - Method in class org.apache.ignite.ml.util.generators.primitives.vector.VectorGeneratorsFamily: Deprecated.
getX() - Method in class org.apache.ignite.ml.math.isolve.IterativeSolverResult: Deprecated.
getX(int, int) - Method in class org.apache.ignite.ml.math.primitives.matrix.AbstractMatrix: Deprecated.

Gets the matrix value at the provided location without checking boundaries.
getX(int, int) - Method in interface org.apache.ignite.ml.math.primitives.matrix.Matrix: Deprecated.

Gets the matrix value at the provided location without checking boundaries.
getX(int) - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.

Gets the value at specified index without checking for index boundaries.
getX(int) - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingVector: Deprecated.

Gets the value at specified index without checking for index boundaries.
getX(int) - Method in interface org.apache.ignite.ml.math.primitives.vector.Vector: Deprecated.

Gets the value at specified index without checking for index boundaries.
getX() - Method in class org.apache.ignite.ml.tree.impurity.util.StepFunction: Deprecated.
getXnorm() - Method in class org.apache.ignite.ml.math.isolve.lsqr.LSQRResult: Deprecated.
getY() - Method in class org.apache.ignite.ml.structures.partition.LabelPartitionDataOnHeap: Deprecated.
getY() - Method in class org.apache.ignite.ml.tree.impurity.util.StepFunction: Deprecated.
GiniHistogram - Class in org.apache.ignite.ml.tree.randomforest.data.impurity: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
GiniHistogram(int, Map<Double, Integer>, BucketMeta) - Constructor for class org.apache.ignite.ml.tree.randomforest.data.impurity.GiniHistogram: Deprecated.

Creates an instance of GiniHistogram.
GiniHistogramsComputer - Class in org.apache.ignite.ml.tree.randomforest.data.impurity: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
GiniHistogramsComputer(Map<Double, Integer>) - Constructor for class org.apache.ignite.ml.tree.randomforest.data.impurity.GiniHistogramsComputer: Deprecated.

Creates an instance of GiniHistogramsComputer.
GiniImpurityMeasure - Class in org.apache.ignite.ml.tree.impurity.gini: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
GiniImpurityMeasureCalculator - Class in org.apache.ignite.ml.tree.impurity.gini: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
GiniImpurityMeasureCalculator(Map<Double, Integer>, boolean) - Constructor for class org.apache.ignite.ml.tree.impurity.gini.GiniImpurityMeasureCalculator: Deprecated.

Constructs a new instance of Gini impurity measure calculator.
GmmModel - Class in org.apache.ignite.ml.clustering.gmm: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
GmmModel(Vector, List<MultivariateGaussianDistribution>) - Constructor for class org.apache.ignite.ml.clustering.gmm.GmmModel: Deprecated.

Creates an instance of GmmModel.
GmmTrainer - Class in org.apache.ignite.ml.clustering.gmm: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
GmmTrainer() - Constructor for class org.apache.ignite.ml.clustering.gmm.GmmTrainer: Deprecated.

Creates an instance of GmmTrainer.
GmmTrainer(int, int) - Constructor for class org.apache.ignite.ml.clustering.gmm.GmmTrainer: Deprecated.

Creates an instance of GmmTrainer.
GmmTrainer(int) - Constructor for class org.apache.ignite.ml.clustering.gmm.GmmTrainer: Deprecated.

Creates an instance of GmmTrainer.
gradient(long, double, double) - Method in class org.apache.ignite.ml.composition.boosting.loss.LogLoss: Deprecated.

Error gradient value for model answer.
gradient(long, double, double) - Method in interface org.apache.ignite.ml.composition.boosting.loss.Loss: Deprecated.

Error gradient value for model answer.
gradient(long, double, double) - Method in class org.apache.ignite.ml.composition.boosting.loss.SquaredError: Deprecated.

Error gradient value for model answer.
gradient() - Method in class org.apache.ignite.ml.optimization.updatecalculators.SimpleGDParameterUpdate: Deprecated.

Get gradient.
guid() - Method in class org.apache.ignite.ml.math.primitives.matrix.AbstractMatrix: Deprecated.

Auto-generated globally unique matrix ID.
guid() - Method in interface org.apache.ignite.ml.math.primitives.matrix.Matrix: Deprecated.

Auto-generated globally unique matrix ID.
guid() - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.

Auto-generated globally unique vector ID.
guid() - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingVector: Deprecated.

Auto-generated globally unique vector ID.
guid() - Method in interface org.apache.ignite.ml.math.primitives.vector.Vector: Deprecated.

Auto-generated globally unique vector ID.

H

HammingDistance - Class in org.apache.ignite.ml.math.distances: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
HammingDistance() - Constructor for class org.apache.ignite.ml.math.distances.HammingDistance: Deprecated.
handledIndices - Variable in class org.apache.ignite.ml.preprocessing.encoding.EncoderPreprocessor: Deprecated.

Feature indices to apply encoder.
hasAttribute(String) - Method in interface org.apache.ignite.ml.math.MetaAttributes: Deprecated.

Checks if given meta attribute is present.
hasBias() - Method in class org.apache.ignite.ml.nn.architecture.TransformationLayerArchitecture: Deprecated.

Checks if this layer has a bias.
hasBiases(int) - Method in class org.apache.ignite.ml.nn.MultilayerPerceptron: Deprecated.

Checks if layer with given index has biases.
hashCode() - Method in class org.apache.ignite.ml.clustering.kmeans.KMeansModel: Deprecated.
hashCode() - Method in class org.apache.ignite.ml.clustering.kmeans.KMeansModelFormat: Deprecated.
hashCode() - Method in class org.apache.ignite.ml.dataset.impl.bootstrapping.BootstrappedVector: Deprecated.
hashCode() - Method in class org.apache.ignite.ml.knn.ann.ANNClassificationModel: Deprecated.
hashCode() - Method in class org.apache.ignite.ml.knn.ann.ANNModelFormat: Deprecated.
hashCode() - Method in class org.apache.ignite.ml.knn.ann.KNNModelFormat: Deprecated.
hashCode() - Method in class org.apache.ignite.ml.knn.NNClassificationModel: Deprecated.
hashCode() - Method in class org.apache.ignite.ml.math.distances.EuclideanDistance: Deprecated.
hashCode() - Method in class org.apache.ignite.ml.math.distances.HammingDistance: Deprecated.
hashCode() - Method in class org.apache.ignite.ml.math.distances.ManhattanDistance: Deprecated.
hashCode() - Method in class org.apache.ignite.ml.math.primitives.matrix.AbstractMatrix: Deprecated.
hashCode() - Method in class org.apache.ignite.ml.math.primitives.matrix.storage.DenseMatrixStorage: Deprecated.
hashCode() - Method in class org.apache.ignite.ml.math.primitives.matrix.storage.SparseMatrixStorage: Deprecated.
hashCode() - Method in class org.apache.ignite.ml.math.primitives.matrix.storage.ViewMatrixStorage: Deprecated.
hashCode() - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.
hashCode() - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingVector: Deprecated.
hashCode() - Method in class org.apache.ignite.ml.math.primitives.vector.impl.VectorizedViewMatrix: Deprecated.
hashCode() - Method in class org.apache.ignite.ml.math.primitives.vector.storage.DenseVectorStorage: Deprecated.
hashCode() - Method in class org.apache.ignite.ml.math.primitives.vector.storage.SparseVectorStorage: Deprecated.
hashCode() - Method in class org.apache.ignite.ml.math.primitives.vector.storage.VectorViewStorage: Deprecated.
hashCode() - Method in class org.apache.ignite.ml.multiclass.MultiClassModel: Deprecated.
hashCode() - Method in class org.apache.ignite.ml.regressions.linear.LinearRegressionModel: Deprecated.
hashCode() - Method in class org.apache.ignite.ml.regressions.logistic.LogisticRegressionModel: Deprecated.
hashCode() - Method in class org.apache.ignite.ml.structures.Dataset: Deprecated.
hashCode() - Method in class org.apache.ignite.ml.structures.DatasetRow: Deprecated.
hashCode() - Method in class org.apache.ignite.ml.structures.FeatureMetadata: Deprecated.
hashCode() - Method in class org.apache.ignite.ml.structures.LabeledVector: Deprecated.
hashCode() - Method in class org.apache.ignite.ml.svm.SVMLinearClassificationModel: Deprecated.
hashCode() - Method in class org.apache.ignite.ml.tree.randomforest.data.NodeId: Deprecated.
hasHeader() - Method in enum org.apache.ignite.ml.util.MLSandboxDatasets: Deprecated.
hasNext() - Method in class org.apache.ignite.ml.dataset.impl.cache.util.IteratorWithConcurrentModificationChecker: Deprecated.
HIGH - Static variable in class org.apache.ignite.ml.environment.logging.ConsoleLogger.Factory: Deprecated.

High.
HINGE - Static variable in class org.apache.ignite.ml.optimization.LossFunctions: Deprecated.

Hinge loss function.
Histogram<T,H extends Histogram<T,H>> - Interface in org.apache.ignite.ml.dataset.feature: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
HyperParameterTuningStrategy - Class in org.apache.ignite.ml.selection.paramgrid: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
HyperParameterTuningStrategy() - Constructor for class org.apache.ignite.ml.selection.paramgrid.HyperParameterTuningStrategy: Deprecated.

I

id() - Method in class org.apache.ignite.ml.genetic.Chromosome: Deprecated.

Get the id (primary key) for this chromosome
id() - Method in class org.apache.ignite.ml.genetic.Gene: Deprecated.
id() - Method in class org.apache.ignite.ml.inference.storage.model.thinclient.ModelStorateThinClientProcessor: Deprecated.
id() - Method in enum org.apache.ignite.ml.inference.storage.model.thinclient.ModelStorateThinClientProcessor.Method: Deprecated.
identity() - Static method in interface org.apache.ignite.ml.dataset.UpstreamTransformerBuilder: Deprecated.

Returns identity upstream transformer.
IDENTITY - Static variable in class org.apache.ignite.ml.math.functions.Functions: Deprecated.

Function that returns its argument.
identity() - Static method in interface org.apache.ignite.ml.math.functions.IgniteFunction: Deprecated.

Identity function.
identity(int) - Static method in class org.apache.ignite.ml.math.util.MatrixUtil: Deprecated.
identityLike(Matrix, int) - Static method in class org.apache.ignite.ml.math.util.MatrixUtil: Deprecated.

Create the identity matrix like a given matrix.
identityTrainer() - Static method in class org.apache.ignite.ml.trainers.DatasetTrainer: Deprecated.

Returns the trainer which returns identity model.
IFitnessFunction - Interface in org.apache.ignite.ml.genetic: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
IgniteBiConsumer<T,U> - Interface in org.apache.ignite.ml.math.functions: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
IgniteBiFunction<T,U,R> - Interface in org.apache.ignite.ml.math.functions: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
IgniteBinaryOperator<A> - Interface in org.apache.ignite.ml.math.functions: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
IgniteConsumer<T> - Interface in org.apache.ignite.ml.math.functions: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
IgniteCurriedBiFunction<A,B,T> - Interface in org.apache.ignite.ml.math.functions: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
IgniteCurriedTriFunction<A,B,C,D> - Interface in org.apache.ignite.ml.math.functions: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
IgniteDifferentiableDoubleToDoubleFunction - Interface in org.apache.ignite.ml.math.functions: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
IgniteDifferentiableVectorToDoubleFunction - Interface in org.apache.ignite.ml.math.functions: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
IgniteDistributedModelBuilder - Class in org.apache.ignite.ml.inference.builder: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
IgniteDistributedModelBuilder(Ignite, int, int) - Constructor for class org.apache.ignite.ml.inference.builder.IgniteDistributedModelBuilder: Deprecated.

Constructs a new instance of Ignite distributed inference model builder.
IgniteDoubleFunction<Double> - Interface in org.apache.ignite.ml.math.functions: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
IgniteFunction<T,R> - Interface in org.apache.ignite.ml.math.functions: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
IgniteIntDoubleToDoubleBiFunction - Interface in org.apache.ignite.ml.math.functions: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
IgniteIntIntToIntBiFunction - Interface in org.apache.ignite.ml.math.functions: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
IgniteModel<T,V> - Interface in org.apache.ignite.ml: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
IgniteModelDescriptorStorage - Class in org.apache.ignite.ml.inference.storage.descriptor: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
IgniteModelDescriptorStorage(IgniteCache<String, ModelDescriptor>) - Constructor for class org.apache.ignite.ml.inference.storage.descriptor.IgniteModelDescriptorStorage: Deprecated.

Constructs a new instance of Ignite model descriptor storage.
IgniteModelParser<I,O> - Class in org.apache.ignite.ml.inference.parser: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
IgniteModelParser() - Constructor for class org.apache.ignite.ml.inference.parser.IgniteModelParser: Deprecated.
IgniteModelStorageProvider - Class in org.apache.ignite.ml.inference.storage.model: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
IgniteModelStorageProvider(IgniteCache<String, FileOrDirectory>) - Constructor for class org.apache.ignite.ml.inference.storage.model.IgniteModelStorageProvider: Deprecated.

Constructs a new instance of Ignite model storage provider.
IgniteModelStorageUtil - Class in org.apache.ignite.ml.inference: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
IgniteModelStorageUtil() - Constructor for class org.apache.ignite.ml.inference.IgniteModelStorageUtil: Deprecated.
IgniteSupplier<T> - Interface in org.apache.ignite.ml.math.functions: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
IgniteToDoubleFunction<T> - Interface in org.apache.ignite.ml.math.functions: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
IgniteTriConsumer<A,B,C> - Interface in org.apache.ignite.ml.math.functions: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
IgniteTriFunction<A,B,C,R> - Interface in org.apache.ignite.ml.math.functions: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
impurity() - Method in class org.apache.ignite.ml.tree.impurity.gini.GiniImpurityMeasure: Deprecated.

Calculates impurity measure as a single double value.
impurity() - Method in interface org.apache.ignite.ml.tree.impurity.ImpurityMeasure: Deprecated.

Calculates impurity measure as a single double value.
impurity() - Method in class org.apache.ignite.ml.tree.impurity.mse.MSEImpurityMeasure: Deprecated.

Calculates impurity measure as a single double value.
ImpurityComputer<T,H extends Histogram<T,H>> - Interface in org.apache.ignite.ml.tree.randomforest.data.impurity: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
ImpurityHistogram - Class in org.apache.ignite.ml.tree.randomforest.data.impurity: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
ImpurityHistogram(int) - Constructor for class org.apache.ignite.ml.tree.randomforest.data.impurity.ImpurityHistogram: Deprecated.

Creates an instance of ImpurityHistogram.
ImpurityHistogramsComputer<S extends ImpurityComputer<BootstrappedVector,S>> - Class in org.apache.ignite.ml.tree.randomforest.data.impurity: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
ImpurityHistogramsComputer() - Constructor for class org.apache.ignite.ml.tree.randomforest.data.impurity.ImpurityHistogramsComputer: Deprecated.
ImpurityHistogramsComputer.NodeImpurityHistograms<S extends ImpurityComputer<BootstrappedVector,S>> - Class in org.apache.ignite.ml.tree.randomforest.data.impurity: Deprecated.

Class represents per feature statistics for impurity computing.
ImpurityMeasure<T extends ImpurityMeasure<T>> - Interface in org.apache.ignite.ml.tree.impurity: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
ImpurityMeasureCalculator<T extends ImpurityMeasure<T>> - Class in org.apache.ignite.ml.tree.impurity: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
ImpurityMeasureCalculator(boolean) - Constructor for class org.apache.ignite.ml.tree.impurity.ImpurityMeasureCalculator: Deprecated.

Constructs an instance of ImpurityMeasureCalculator.
ImputerPartitionData - Class in org.apache.ignite.ml.preprocessing.imputing: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
ImputerPartitionData() - Constructor for class org.apache.ignite.ml.preprocessing.imputing.ImputerPartitionData: Deprecated.

Constructs a new instance of imputing partition data.
ImputerPreprocessor<K,V> - Class in org.apache.ignite.ml.preprocessing.imputing: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
ImputerPreprocessor(Vector, Preprocessor<K, V>) - Constructor for class org.apache.ignite.ml.preprocessing.imputing.ImputerPreprocessor: Deprecated.

Constructs a new instance of imputing preprocessor.
ImputerTrainer<K,V> - Class in org.apache.ignite.ml.preprocessing.imputing: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
ImputerTrainer() - Constructor for class org.apache.ignite.ml.preprocessing.imputing.ImputerTrainer: Deprecated.
ImputingStrategy - Enum in org.apache.ignite.ml.preprocessing.imputing: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
increment(int, double) - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.

Increments value at given index.
increment(int, double) - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingVector: Deprecated.

Increments value at given index.
increment(int, double) - Method in interface org.apache.ignite.ml.math.primitives.vector.Vector: Deprecated.

Increments value at given index.
incrementX(int, double) - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.

Increments value at given index without checking for index boundaries.
incrementX(int, double) - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingVector: Deprecated.

Increments value at given index without checking for index boundaries.
incrementX(int, double) - Method in interface org.apache.ignite.ml.math.primitives.vector.Vector: Deprecated.

Increments value at given index without checking for index boundaries.
index() - Method in interface org.apache.ignite.ml.math.primitives.vector.Vector.Element: Deprecated.

Gets element's index in the vector.
indexes() - Method in class org.apache.ignite.ml.math.primitives.vector.impl.SparseVector: Deprecated.

Indexes of non-default elements.
indexes() - Method in class org.apache.ignite.ml.math.primitives.vector.storage.SparseVectorStorage: Deprecated.
indexesMap() - Method in class org.apache.ignite.ml.math.primitives.matrix.impl.SparseMatrix: Deprecated.
indexesMap() - Method in class org.apache.ignite.ml.math.primitives.matrix.storage.SparseMatrixStorage: Deprecated.
IndexException - Exception in org.apache.ignite.ml.math.exceptions: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
IndexException(int) - Constructor for exception org.apache.ignite.ml.math.exceptions.IndexException: Deprecated.
init(DeployingContext) - Method in interface org.apache.ignite.ml.environment.deploy.DeployingContext: Deprecated.

Inits context by other context.
init(DeployingContext) - Method in class org.apache.ignite.ml.environment.deploy.DeployingContextImpl: Deprecated.

Inits context by other context.
init(M, IgniteFunction<Vector, IgniteDifferentiableVectorToDoubleFunction>) - Method in class org.apache.ignite.ml.optimization.updatecalculators.NesterovUpdateCalculator: Deprecated.

Initializes the update calculator.
init(M, IgniteFunction<Vector, IgniteDifferentiableVectorToDoubleFunction>) - Method in interface org.apache.ignite.ml.optimization.updatecalculators.ParameterUpdateCalculator: Deprecated.

Initializes the update calculator.
init(SmoothParametrized, IgniteFunction<Vector, IgniteDifferentiableVectorToDoubleFunction>) - Method in class org.apache.ignite.ml.optimization.updatecalculators.RPropUpdateCalculator: Deprecated.

Initializes the update calculator.
init(SmoothParametrized, IgniteFunction<Vector, IgniteDifferentiableVectorToDoubleFunction>) - Method in class org.apache.ignite.ml.optimization.updatecalculators.SimpleGDUpdateCalculator: Deprecated.

Initializes the update calculator.
init(Dataset<EmptyContext, BootstrappedDatasetPartition>) - Method in class org.apache.ignite.ml.tree.randomforest.RandomForestClassifierTrainer: Deprecated.

Aggregates all unique labels from dataset and assigns integer id value for each label.
init(Dataset<EmptyContext, BootstrappedDatasetPartition>) - Method in class org.apache.ignite.ml.tree.randomforest.RandomForestTrainer: Deprecated.

Init-step before learning.
initBiases(Vector) - Method in interface org.apache.ignite.ml.nn.initializers.MLPInitializer: Deprecated.

In-place change values of vector representing vectors.
initBiases(Vector) - Method in class org.apache.ignite.ml.nn.initializers.RandomInitializer: Deprecated.

In-place change values of vector representing vectors.
initByClientObject(Object) - Method in interface org.apache.ignite.ml.environment.deploy.DeployingContext: Deprecated.

Inits context by any client-defined object.
initByClientObject(Object) - Method in class org.apache.ignite.ml.environment.deploy.DeployingContextImpl: Deprecated.

Inits context by any client-defined object.
initContext(Ignite, String, UpstreamTransformerBuilder, IgniteBiPredicate<K, V>, String, PartitionContextBuilder<K, V, C>, LearningEnvironmentBuilder, int, int, boolean, DeployingContext) - Static method in class org.apache.ignite.ml.dataset.impl.cache.util.ComputeUtils: Deprecated.

Initializes partition context by loading it from a partition upstream.
initDeployingContext(Object) - Method in interface org.apache.ignite.ml.environment.LearningEnvironment: Deprecated.

Initializes deploying context by object representing current client computation with classes unknown for server side.
initExtensions(PluginContext, ExtensionRegistry) - Method in class org.apache.ignite.ml.util.plugin.MLPluginProvider: Deprecated.
initLearningState(GDBTrainer.GDBModel) - Method in class org.apache.ignite.ml.composition.boosting.GDBLearningStrategy: Deprecated.

Restores state of already learned model if can and sets learning parameters according to this state.
initTrees(Queue<TreeNode>) - Method in class org.apache.ignite.ml.tree.randomforest.RandomForestTrainer: Deprecated.

Creates list of trees.
initWeights(Matrix) - Method in interface org.apache.ignite.ml.nn.initializers.MLPInitializer: Deprecated.

In-place change values of matrix representing weights.
initWeights(Matrix) - Method in class org.apache.ignite.ml.nn.initializers.RandomInitializer: Deprecated.

In-place change values of matrix representing weights.
InMemoryModelReader - Class in org.apache.ignite.ml.inference.reader: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
InMemoryModelReader(byte[]) - Constructor for class org.apache.ignite.ml.inference.reader.InMemoryModelReader: Deprecated.

Constructs a new instance of in-memory model reader that returns specified byte array.
InMemoryModelReader(T) - Constructor for class org.apache.ignite.ml.inference.reader.InMemoryModelReader: Deprecated.

Constructs a new instance of in-memory model reader that returns serialized specified object.
innerModel() - Method in class org.apache.ignite.ml.trainers.AdaptableDatasetModel: Deprecated.

Get inner model.
input - Variable in class org.apache.ignite.ml.nn.MLPState: Deprecated.

Input.
inputSize() - Method in class org.apache.ignite.ml.nn.architecture.MLPArchitecture: Deprecated.

Size of input of MLP.
INSTANCE - Static variable in class org.apache.ignite.ml.environment.parallelism.NoParallelismStrategy: Deprecated.

Instance.
instance() - Method in class org.apache.ignite.ml.tree.randomforest.RandomForestClassifierTrainer: Deprecated.
instance() - Method in class org.apache.ignite.ml.tree.randomforest.RandomForestRegressionTrainer: Deprecated.
instance() - Method in class org.apache.ignite.ml.tree.randomforest.RandomForestTrainer: Deprecated.
IntCoordVectorizer(Integer...) - Constructor for class org.apache.ignite.ml.dataset.feature.extractor.ExtractionUtils.IntCoordVectorizer: Deprecated.

Creates an instance of Vectorizer.
IntDoubleToVoidFunction - Interface in org.apache.ignite.ml.math.functions: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
intercept() - Method in class org.apache.ignite.ml.regressions.logistic.LogisticRegressionModel: Deprecated.

Gets the intercept.
intercept() - Method in class org.apache.ignite.ml.svm.SVMLinearClassificationModel: Deprecated.

Gets the intercept.
internalLabelToExternal(double) - Method in class org.apache.ignite.ml.composition.boosting.GDBBinaryClassifierTrainer: Deprecated.

Maps internal representation of label to external.
internalLabelToExternal(double) - Method in class org.apache.ignite.ml.composition.boosting.GDBRegressionTrainer: Deprecated.

Maps internal representation of label to external.
internalLabelToExternal(double) - Method in class org.apache.ignite.ml.composition.boosting.GDBTrainer: Deprecated.

Maps internal representation of label to external.
IntIntDoubleToVoidFunction - Interface in org.apache.ignite.ml.math.functions: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
IntIntToDoubleFunction - Interface in org.apache.ignite.ml.math.functions: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
INV - Static variable in class org.apache.ignite.ml.math.functions.Functions: Deprecated.

Function that returns 1 / a
inverse() - Method in class org.apache.ignite.ml.math.primitives.matrix.AbstractMatrix: Deprecated.

Returns the inverse matrix of this matrix
inverse() - Method in interface org.apache.ignite.ml.math.primitives.matrix.Matrix: Deprecated.

Returns the inverse matrix of this matrix
isArrayBased() - Method in class org.apache.ignite.ml.math.primitives.matrix.AbstractMatrix: Deprecated.

Checks if implementation is based on Java arrays.
isArrayBased() - Method in class org.apache.ignite.ml.math.primitives.matrix.storage.DenseMatrixStorage: Deprecated.

Checks if implementation is based on Java arrays.
isArrayBased() - Method in class org.apache.ignite.ml.math.primitives.matrix.storage.SparseMatrixStorage: Deprecated.

Checks if implementation is based on Java arrays.
isArrayBased() - Method in class org.apache.ignite.ml.math.primitives.matrix.storage.ViewMatrixStorage: Deprecated.

Checks if implementation is based on Java arrays.
isArrayBased() - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.

Checks if implementation is based on Java arrays.
isArrayBased() - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingVector: Deprecated.

Checks if implementation is based on Java arrays.
isArrayBased() - Method in class org.apache.ignite.ml.math.primitives.vector.storage.DenseVectorStorage: Deprecated.

Checks if implementation is based on Java arrays.
isArrayBased() - Method in class org.apache.ignite.ml.math.primitives.vector.storage.SparseVectorStorage: Deprecated.

Checks if implementation is based on Java arrays.
isArrayBased() - Method in class org.apache.ignite.ml.math.primitives.vector.storage.VectorizedViewMatrixStorage: Deprecated.

Checks if implementation is based on Java arrays.
isArrayBased() - Method in class org.apache.ignite.ml.math.primitives.vector.storage.VectorViewStorage: Deprecated.

Checks if implementation is based on Java arrays.
isArrayBased() - Method in interface org.apache.ignite.ml.math.StorageOpsMetrics: Deprecated.

Checks if implementation is based on Java arrays.
isCancelled() - Method in class org.apache.ignite.ml.environment.parallelism.DefaultParallelismStrategy.FutureWrapper: Deprecated.
isCancelled() - Method in class org.apache.ignite.ml.environment.parallelism.NoParallelismStrategy.Stub: Deprecated.
isCategoricalFeature() - Method in class org.apache.ignite.ml.dataset.feature.FeatureMeta: Deprecated.
isConverged(LearningEnvironmentBuilder, DatasetBuilder<K, V>, ModelsComposition) - Method in class org.apache.ignite.ml.composition.boosting.convergence.ConvergenceChecker: Deprecated.

Checks convergency on dataset.
isConverged(Dataset<EmptyContext, ? extends FeatureMatrixWithLabelsOnHeapData>, ModelsComposition) - Method in class org.apache.ignite.ml.composition.boosting.convergence.ConvergenceChecker: Deprecated.

Checks convergency on dataset.
isConverged(LearningEnvironmentBuilder, DatasetBuilder<K, V>, ModelsComposition) - Method in class org.apache.ignite.ml.composition.boosting.convergence.simple.ConvergenceCheckerStub: Deprecated.

Checks convergency on dataset.
isConverged(Dataset<EmptyContext, ? extends FeatureMatrixWithLabelsOnHeapData>, ModelsComposition) - Method in class org.apache.ignite.ml.composition.boosting.convergence.simple.ConvergenceCheckerStub: Deprecated.

Checks convergency on dataset.
isDense() - Method in class org.apache.ignite.ml.math.primitives.matrix.AbstractMatrix: Deprecated.

Checks if this implementation should be considered dense so that it explicitly represents every value.
isDense() - Method in class org.apache.ignite.ml.math.primitives.matrix.storage.DenseMatrixStorage: Deprecated.

Checks if this implementation should be considered dense so that it explicitly represents every value.
isDense() - Method in class org.apache.ignite.ml.math.primitives.matrix.storage.SparseMatrixStorage: Deprecated.

Checks if this implementation should be considered dense so that it explicitly represents every value.
isDense() - Method in class org.apache.ignite.ml.math.primitives.matrix.storage.ViewMatrixStorage: Deprecated.

Checks if this implementation should be considered dense so that it explicitly represents every value.
isDense() - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.

Checks if this implementation should be considered dense so that it explicitly represents every value.
isDense() - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingVector: Deprecated.

Checks if this implementation should be considered dense so that it explicitly represents every value.
isDense() - Method in class org.apache.ignite.ml.math.primitives.vector.storage.DenseVectorStorage: Deprecated.

Checks if this implementation should be considered dense so that it explicitly represents every value.
isDense() - Method in class org.apache.ignite.ml.math.primitives.vector.storage.SparseVectorStorage: Deprecated.

Checks if this implementation should be considered dense so that it explicitly represents every value.
isDense() - Method in class org.apache.ignite.ml.math.primitives.vector.storage.VectorizedViewMatrixStorage: Deprecated.

Checks if this implementation should be considered dense so that it explicitly represents every value.
isDense() - Method in class org.apache.ignite.ml.math.primitives.vector.storage.VectorViewStorage: Deprecated.

Checks if this implementation should be considered dense so that it explicitly represents every value.
isDense() - Method in interface org.apache.ignite.ml.math.StorageOpsMetrics: Deprecated.

Checks if this implementation should be considered dense so that it explicitly represents every value.
isDirectory(String) - Method in class org.apache.ignite.ml.inference.storage.model.DefaultModelStorage: Deprecated.

Returns true if the specified path associated with a directory.
isDirectory() - Method in interface org.apache.ignite.ml.inference.storage.model.FileOrDirectory: Deprecated.

Return true if this object is a directory, otherwise false.
isDirectory() - Method in class org.apache.ignite.ml.inference.storage.model.FileStat: Deprecated.
isDirectory(String) - Method in interface org.apache.ignite.ml.inference.storage.model.ModelStorage: Deprecated.

Returns true if the specified path associated with a directory.
isDistributed() - Method in class org.apache.ignite.ml.math.primitives.matrix.AbstractMatrix: Deprecated.

Checks whether implementation is JVM-local or distributed (multi-JVM).
isDistributed() - Method in class org.apache.ignite.ml.math.primitives.matrix.storage.DenseMatrixStorage: Deprecated.

Checks whether implementation is JVM-local or distributed (multi-JVM).
isDistributed() - Method in class org.apache.ignite.ml.math.primitives.matrix.storage.SparseMatrixStorage: Deprecated.

Checks whether implementation is JVM-local or distributed (multi-JVM).
isDistributed() - Method in class org.apache.ignite.ml.math.primitives.matrix.storage.ViewMatrixStorage: Deprecated.

Checks whether implementation is JVM-local or distributed (multi-JVM).
isDistributed() - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.

Checks whether implementation is JVM-local or distributed (multi-JVM).
isDistributed() - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingVector: Deprecated.

Checks whether implementation is JVM-local or distributed (multi-JVM).
isDistributed() - Method in class org.apache.ignite.ml.math.primitives.vector.storage.DenseVectorStorage: Deprecated.

Checks whether implementation is JVM-local or distributed (multi-JVM).
isDistributed() - Method in class org.apache.ignite.ml.math.primitives.vector.storage.SparseVectorStorage: Deprecated.

Checks whether implementation is JVM-local or distributed (multi-JVM).
isDistributed() - Method in class org.apache.ignite.ml.math.primitives.vector.storage.VectorizedViewMatrixStorage: Deprecated.

Checks whether implementation is JVM-local or distributed (multi-JVM).
isDistributed() - Method in class org.apache.ignite.ml.math.primitives.vector.storage.VectorViewStorage: Deprecated.

Checks whether implementation is JVM-local or distributed (multi-JVM).
isDistributed() - Method in interface org.apache.ignite.ml.math.StorageOpsMetrics: Deprecated.

Checks whether implementation is JVM-local or distributed (multi-JVM).
isDistributed - Variable in class org.apache.ignite.ml.structures.Dataset: Deprecated.
isDistributed() - Method in class org.apache.ignite.ml.structures.Dataset: Deprecated.
isDone() - Method in class org.apache.ignite.ml.environment.parallelism.DefaultParallelismStrategy.FutureWrapper: Deprecated.
isDone() - Method in class org.apache.ignite.ml.environment.parallelism.NoParallelismStrategy.Stub: Deprecated.
isEqualTo(H) - Method in interface org.apache.ignite.ml.dataset.feature.Histogram: Deprecated.

Compares histogram with other and returns true if they are equals
isEqualTo(ObjectHistogram<T>) - Method in class org.apache.ignite.ml.dataset.feature.ObjectHistogram: Deprecated.

Compares histogram with other and returns true if they are equals
isEqualTo(GiniHistogram) - Method in class org.apache.ignite.ml.tree.randomforest.data.impurity.GiniHistogram: Deprecated.

Compares histogram with other and returns true if they are equals
isEqualTo(MSEHistogram) - Method in class org.apache.ignite.ml.tree.randomforest.data.impurity.MSEHistogram: Deprecated.

Compares histogram with other and returns true if they are equals
isFile(String) - Method in class org.apache.ignite.ml.inference.storage.model.DefaultModelStorage: Deprecated.

Returns true if the specified path associated with a regular file.
isFile() - Method in interface org.apache.ignite.ml.inference.storage.model.FileOrDirectory: Deprecated.

Returns true if this object is a regular file, otherwise false.
isFile(String) - Method in interface org.apache.ignite.ml.inference.storage.model.ModelStorage: Deprecated.

Returns true if the specified path associated with a regular file.
isHigherFitnessValFitter() - Method in class org.apache.ignite.ml.genetic.parameter.GAConfiguration: Deprecated.
isKeepingRawLabels() - Method in class org.apache.ignite.ml.regressions.logistic.LogisticRegressionModel: Deprecated.

Gets the output label format mode.
isKeepingRawLabels() - Method in class org.apache.ignite.ml.svm.SVMLinearClassificationModel: Deprecated.

Gets the output label format mode.
isNumeric() - Method in interface org.apache.ignite.ml.math.primitives.matrix.Matrix: Deprecated.
isNumeric() - Method in interface org.apache.ignite.ml.math.primitives.matrix.MatrixStorage: Deprecated.
isNumeric() - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.
isNumeric() - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingVector: Deprecated.
isNumeric() - Method in class org.apache.ignite.ml.math.primitives.vector.storage.DenseVectorStorage: Deprecated.
isNumeric() - Method in class org.apache.ignite.ml.math.primitives.vector.storage.SparseVectorStorage: Deprecated.
isNumeric() - Method in class org.apache.ignite.ml.math.primitives.vector.storage.VectorizedViewMatrixStorage: Deprecated.
isNumeric() - Method in class org.apache.ignite.ml.math.primitives.vector.storage.VectorViewStorage: Deprecated.
isNumeric() - Method in interface org.apache.ignite.ml.math.StorageOpsMetrics: Deprecated.
isROCAUCenabled() - Method in class org.apache.ignite.ml.selection.scoring.metric.classification.BinaryClassificationMetrics: Deprecated.
isRunningOnPipeline - Variable in class org.apache.ignite.ml.selection.cv.AbstractCrossValidation: Deprecated.

Execution over the pipeline or the chain of preprocessors and separate trainer, otherwise.
isRunningOnPipeline(boolean) - Method in class org.apache.ignite.ml.selection.cv.AbstractCrossValidation: Deprecated.
isTerminationConditionMet(Chromosome, double, int) - Method in interface org.apache.ignite.ml.genetic.parameter.ITerminateCriteria: Deprecated.
isUpdateable(GmmModel) - Method in class org.apache.ignite.ml.clustering.gmm.GmmTrainer: Deprecated.
isUpdateable(KMeansModel) - Method in class org.apache.ignite.ml.clustering.kmeans.KMeansTrainer: Deprecated.
isUpdateable(BaggedModel) - Method in class org.apache.ignite.ml.composition.bagging.BaggedTrainer: Deprecated.

This method is never called, instead of constructing logic of update from DatasetTrainer.isUpdateable(M) and DatasetTrainer.updateModel(M, org.apache.ignite.ml.dataset.DatasetBuilder<K, V>, org.apache.ignite.ml.preprocessing.Preprocessor<K, V>) in this class we explicitly override update method.
isUpdateable(ModelsComposition) - Method in class org.apache.ignite.ml.composition.boosting.GDBTrainer: Deprecated.
isUpdateable(IgniteModel<I, List<O>>) - Method in class org.apache.ignite.ml.composition.combinators.parallel.TrainersParallelComposition: Deprecated.

This method is never called, instead of constructing logic of update from DatasetTrainer.isUpdateable(M) and DatasetTrainer.updateModel(M, org.apache.ignite.ml.dataset.DatasetBuilder<K, V>, org.apache.ignite.ml.preprocessing.Preprocessor<K, V>) in this class we explicitly override update method.
isUpdateable(ModelsSequentialComposition<I, O1, O2>) - Method in class org.apache.ignite.ml.composition.combinators.sequential.TrainersSequentialComposition: Deprecated.

This method is never called, instead of constructing logic of update from DatasetTrainer.isUpdateable(M) and DatasetTrainer.updateModel(M, org.apache.ignite.ml.dataset.DatasetBuilder<K, V>, org.apache.ignite.ml.preprocessing.Preprocessor<K, V>) in this class we explicitly override update method.
isUpdateable(StackedModel<IS, IA, O, AM>) - Method in class org.apache.ignite.ml.composition.stacking.StackedDatasetTrainer: Deprecated.

This method is never called, instead of constructing logic of update from DatasetTrainer.isUpdateable(M) and DatasetTrainer.updateModel(M, org.apache.ignite.ml.dataset.DatasetBuilder<K, V>, org.apache.ignite.ml.preprocessing.Preprocessor<K, V>) in this class we explicitly override update method.
isUpdateable(ANNClassificationModel) - Method in class org.apache.ignite.ml.knn.ann.ANNClassificationTrainer: Deprecated.
isUpdateable(M) - Method in class org.apache.ignite.ml.knn.KNNTrainer: Deprecated.
isUpdateable(MultiClassModel<M>) - Method in class org.apache.ignite.ml.multiclass.OneVsRestTrainer: Deprecated.
isUpdateable(DiscreteNaiveBayesModel) - Method in class org.apache.ignite.ml.naivebayes.discrete.DiscreteNaiveBayesTrainer: Deprecated.
isUpdateable(GaussianNaiveBayesModel) - Method in class org.apache.ignite.ml.naivebayes.gaussian.GaussianNaiveBayesTrainer: Deprecated.
isUpdateable(MultilayerPerceptron) - Method in class org.apache.ignite.ml.nn.MLPTrainer: Deprecated.
isUpdateable(LinearRegressionModel) - Method in class org.apache.ignite.ml.regressions.linear.LinearRegressionLSQRTrainer: Deprecated.
isUpdateable(LinearRegressionModel) - Method in class org.apache.ignite.ml.regressions.linear.LinearRegressionSGDTrainer: Deprecated.
isUpdateable(LogisticRegressionModel) - Method in class org.apache.ignite.ml.regressions.logistic.LogisticRegressionSGDTrainer: Deprecated.
isUpdateable(SVMLinearClassificationModel) - Method in class org.apache.ignite.ml.svm.SVMLinearClassificationTrainer: Deprecated.
isUpdateable(AdaptableDatasetModel<I, O, IW, OW, M>) - Method in class org.apache.ignite.ml.trainers.AdaptableDatasetTrainer: Deprecated.
isUpdateable(M) - Method in class org.apache.ignite.ml.trainers.DatasetTrainer: Deprecated.
isUpdateable(DecisionTreeNode) - Method in class org.apache.ignite.ml.tree.DecisionTree: Deprecated.
isUpdateable(ModelsComposition) - Method in class org.apache.ignite.ml.tree.randomforest.RandomForestTrainer: Deprecated.
isUsingIdx() - Method in class org.apache.ignite.ml.tree.boosting.GDBBinaryClassifierOnTreesTrainer: Deprecated.

Get the using index structure property instead of using sorting during the learning process.
isUsingIdx() - Method in class org.apache.ignite.ml.tree.boosting.GDBRegressionOnTreesTrainer: Deprecated.

Get the using index structure property instead of using sorting during the learning process.
isWeighted() - Method in class org.apache.ignite.ml.knn.ann.KNNModelFormat: Deprecated.

Weighted or not.
isWithMdlDescStorage() - Method in class org.apache.ignite.ml.util.plugin.MLPluginConfiguration: Deprecated.
isWithMdlStorage() - Method in class org.apache.ignite.ml.util.plugin.MLPluginConfiguration: Deprecated.
isZero(double) - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.

Tests if given value is considered a zero value.
iter(double, double[]) - Method in class org.apache.ignite.ml.math.isolve.lsqr.AbstractLSQR: Deprecated.

Perform LSQR iteration.
iter(double, double[]) - Method in class org.apache.ignite.ml.math.isolve.lsqr.LSQROnHeap: Deprecated.

Perform LSQR iteration.
IterativeSolverResult - Class in org.apache.ignite.ml.math.isolve: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
IterativeSolverResult(double[], int) - Constructor for class org.apache.ignite.ml.math.isolve.IterativeSolverResult: Deprecated.

Constructs a new instance of iterative solver result.
iterator() - Method in class org.apache.ignite.ml.dataset.impl.bootstrapping.BootstrappedDatasetPartition: Deprecated.
iterator() - Method in class org.apache.ignite.ml.inference.storage.descriptor.IgniteModelDescriptorStorage: Deprecated.

Returns iterator of model descriptors stored in this model descriptor storage.
iterator() - Method in class org.apache.ignite.ml.inference.storage.descriptor.LocalModelDescriptorStorage: Deprecated.

Returns iterator of model descriptors stored in this model descriptor storage.
iterator() - Method in interface org.apache.ignite.ml.inference.storage.descriptor.ModelDescriptorStorage: Deprecated.

Returns iterator of model descriptors stored in this model descriptor storage.
iterator() - Method in class org.apache.ignite.ml.selection.scoring.cursor.CacheBasedLabelPairCursor: Deprecated.
iterator() - Method in class org.apache.ignite.ml.selection.scoring.cursor.LocalLabelPairCursor: Deprecated.
IteratorWithConcurrentModificationChecker<T> - Class in org.apache.ignite.ml.dataset.impl.cache.util: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
IteratorWithConcurrentModificationChecker(Iterator<T>, long, String) - Constructor for class org.apache.ignite.ml.dataset.impl.cache.util.IteratorWithConcurrentModificationChecker: Deprecated.

Constructs a new instance of iterator checked wrapper.
ITerminateCriteria - Interface in org.apache.ignite.ml.genetic.parameter: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.

K

k - Variable in class org.apache.ignite.ml.knn.ann.KNNModelFormat: Deprecated.

Amount of nearest neighbors.
k - Variable in class org.apache.ignite.ml.knn.KNNModel: Deprecated.

Number of neighbours.
k - Variable in class org.apache.ignite.ml.knn.KNNTrainer: Deprecated.

Number of neighbours.
k - Variable in class org.apache.ignite.ml.knn.NNClassificationModel: Deprecated.

Amount of nearest neighbors.
KDTreeSpatialIndex<L> - Class in org.apache.ignite.ml.knn.utils.indices: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
KDTreeSpatialIndex(List<LabeledVector<L>>, DistanceMeasure) - Constructor for class org.apache.ignite.ml.knn.utils.indices.KDTreeSpatialIndex: Deprecated.

Constructs a new instance of KD tree spatial index.
KEY_FOR_NULL_VALUES - Static variable in class org.apache.ignite.ml.preprocessing.encoding.EncoderPreprocessor: Deprecated.
KMeansModel - Class in org.apache.ignite.ml.clustering.kmeans: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
KMeansModel(Vector[], DistanceMeasure) - Constructor for class org.apache.ignite.ml.clustering.kmeans.KMeansModel: Deprecated.

Construct KMeans model with given centers and distanceMeasure measure.
KMeansModelFormat - Class in org.apache.ignite.ml.clustering.kmeans: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
KMeansModelFormat(Vector[], DistanceMeasure) - Constructor for class org.apache.ignite.ml.clustering.kmeans.KMeansModelFormat: Deprecated.
KMeansTrainer - Class in org.apache.ignite.ml.clustering.kmeans: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
KMeansTrainer() - Constructor for class org.apache.ignite.ml.clustering.kmeans.KMeansTrainer: Deprecated.
KMeansTrainer.TotalCostAndCounts - Class in org.apache.ignite.ml.clustering.kmeans: Deprecated.

Service class used for statistics.
KNNClassificationModel - Class in org.apache.ignite.ml.knn.classification: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
KNNClassificationTrainer - Class in org.apache.ignite.ml.knn.classification: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
KNNClassificationTrainer() - Constructor for class org.apache.ignite.ml.knn.classification.KNNClassificationTrainer: Deprecated.
KNNModel<L> - Class in org.apache.ignite.ml.knn: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
KNNModel(Dataset<EmptyContext, SpatialIndex<L>>, DistanceMeasure, int, boolean) - Constructor for class org.apache.ignite.ml.knn.KNNModel: Deprecated.

Constructs a new instance of KNN model.
KNNModelFormat - Class in org.apache.ignite.ml.knn.ann: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
KNNModelFormat() - Constructor for class org.apache.ignite.ml.knn.ann.KNNModelFormat: Deprecated.
KNNModelFormat(int, DistanceMeasure, boolean) - Constructor for class org.apache.ignite.ml.knn.ann.KNNModelFormat: Deprecated.

Creates an instance.
KNNPartitionDataBuilder<K,V> - Class in org.apache.ignite.ml.knn: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
KNNPartitionDataBuilder(Preprocessor<K, V>, SpatialIndexType, DistanceMeasure) - Constructor for class org.apache.ignite.ml.knn.KNNPartitionDataBuilder: Deprecated.

Constructs a new instance of KNN partition data builder.
KNNRegressionModel - Class in org.apache.ignite.ml.knn.regression: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
KNNRegressionTrainer - Class in org.apache.ignite.ml.knn.regression: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
KNNRegressionTrainer() - Constructor for class org.apache.ignite.ml.knn.regression.KNNRegressionTrainer: Deprecated.
KNNTrainer<M extends KNNModel<Double>,Self extends KNNTrainer<M,Self>> - Class in org.apache.ignite.ml.knn: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
KNNTrainer() - Constructor for class org.apache.ignite.ml.knn.KNNTrainer: Deprecated.
KNNUtils - Class in org.apache.ignite.ml.knn.utils: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
KNNUtils() - Constructor for class org.apache.ignite.ml.knn.utils.KNNUtils: Deprecated.
kNorm(double) - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.

Gets the k-norm of the vector.
kNorm(double) - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingVector: Deprecated.

Gets the k-norm of the vector.
kNorm(double) - Method in interface org.apache.ignite.ml.math.primitives.vector.Vector: Deprecated.

Gets the k-norm of the vector.

L

L1 - Static variable in class org.apache.ignite.ml.optimization.LossFunctions: Deprecated.

L1 loss function.
L2 - Static variable in class org.apache.ignite.ml.optimization.LossFunctions: Deprecated.

L2 loss function.
label(C, K, V) - Method in class org.apache.ignite.ml.dataset.feature.extractor.ExtractionUtils.DefaultLabelVectorizer: Deprecated.

Extract label value by given coordinate.
label(Integer, K, LabeledVector<L>) - Method in class org.apache.ignite.ml.dataset.feature.extractor.impl.LabeledDummyVectorizer: Deprecated.

Extract label value by given coordinate.
label(C, K, V) - Method in class org.apache.ignite.ml.dataset.feature.extractor.Vectorizer: Deprecated.

Extract label value by given coordinate.
label(C, K, V) - Method in class org.apache.ignite.ml.dataset.feature.extractor.Vectorizer.VectorizerAdapter: Deprecated.

Extract label value by given coordinate.
label() - Method in class org.apache.ignite.ml.structures.LabeledVector: Deprecated.

Get the label.
label(int) - Method in class org.apache.ignite.ml.structures.LabeledVectorSet: Deprecated.

Returns label if label is attached or null if label is missed.
labeled(C) - Method in class org.apache.ignite.ml.dataset.feature.extractor.Vectorizer: Deprecated.

Sets label coordinate for Vectorizer.
labeled(Vectorizer.LabelCoordinate) - Method in class org.apache.ignite.ml.dataset.feature.extractor.Vectorizer: Deprecated.

Sets label coordinate for Vectorizer.
labeled(L) - Method in interface org.apache.ignite.ml.math.primitives.vector.Vector: Deprecated.

Creates LabeledVector instance.
labeled() - Method in interface org.apache.ignite.ml.util.generators.DataStreamGenerator: Deprecated.
labeled(IgniteFunction<Vector, Double>) - Method in interface org.apache.ignite.ml.util.generators.DataStreamGenerator: Deprecated.
labeled() - Method in class org.apache.ignite.ml.util.generators.standard.GaussianMixtureDataStream: Deprecated.
labeled() - Method in class org.apache.ignite.ml.util.generators.standard.RegressionDataStream: Deprecated.
labeled() - Method in class org.apache.ignite.ml.util.generators.standard.RingsDataStream: Deprecated.
labeled() - Method in class org.apache.ignite.ml.util.generators.standard.TwoSeparableClassesDataStream: Deprecated.
LabeledDatasetLoader - Class in org.apache.ignite.ml.structures.preprocessing: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
LabeledDatasetLoader() - Constructor for class org.apache.ignite.ml.structures.preprocessing.LabeledDatasetLoader: Deprecated.
LabeledDatasetPartitionDataBuilderOnHeap<K,V,C extends Serializable> - Class in org.apache.ignite.ml.structures.partition: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
LabeledDatasetPartitionDataBuilderOnHeap(Preprocessor<K, V>) - Constructor for class org.apache.ignite.ml.structures.partition.LabeledDatasetPartitionDataBuilderOnHeap: Deprecated.

Constructs a new instance of SVM partition data builder.
LabeledDummyVectorizer<K,L> - Class in org.apache.ignite.ml.dataset.feature.extractor.impl: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
LabeledDummyVectorizer(Integer...) - Constructor for class org.apache.ignite.ml.dataset.feature.extractor.impl.LabeledDummyVectorizer: Deprecated.

Creates an instance of Vectorizer.
LabeledVector<L> - Class in org.apache.ignite.ml.structures: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
LabeledVector() - Constructor for class org.apache.ignite.ml.structures.LabeledVector: Deprecated.

Default constructor.
LabeledVector(Vector, L) - Constructor for class org.apache.ignite.ml.structures.LabeledVector: Deprecated.

Construct labeled vector.
LabeledVectorSet<Row extends LabeledVector> - Class in org.apache.ignite.ml.structures: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
LabeledVectorSet() - Constructor for class org.apache.ignite.ml.structures.LabeledVectorSet: Deprecated.

Default constructor (required by Externalizable).
LabeledVectorSet(int, int, boolean) - Constructor for class org.apache.ignite.ml.structures.LabeledVectorSet: Deprecated.

Creates new Labeled Dataset and initialized with empty data structure.
LabeledVectorSet(int, int) - Constructor for class org.apache.ignite.ml.structures.LabeledVectorSet: Deprecated.

Creates new local Labeled Dataset and initialized with empty data structure.
LabeledVectorSet(int, int, String[], boolean) - Constructor for class org.apache.ignite.ml.structures.LabeledVectorSet: Deprecated.

Creates new Labeled Dataset and initialized with empty data structure.
LabeledVectorSet(Row[]) - Constructor for class org.apache.ignite.ml.structures.LabeledVectorSet: Deprecated.

Creates new Labeled Dataset by given data.
LabeledVectorSet(Row[], int) - Constructor for class org.apache.ignite.ml.structures.LabeledVectorSet: Deprecated.

Creates new Labeled Dataset by given data.
LabeledVectorSet(double[][], double[]) - Constructor for class org.apache.ignite.ml.structures.LabeledVectorSet: Deprecated.

Creates new local Labeled Dataset by matrix and vector of labels.
LabeledVectorSet(double[][], double[], String[], boolean) - Constructor for class org.apache.ignite.ml.structures.LabeledVectorSet: Deprecated.

Creates new Labeled Dataset by matrix and vector of labels.
LabeledVectorSetTestTrainPair - Class in org.apache.ignite.ml.structures: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
LabeledVectorSetTestTrainPair(LabeledVectorSet, double) - Constructor for class org.apache.ignite.ml.structures.LabeledVectorSetTestTrainPair: Deprecated.

Creates two subsets of given dataset.
labelInSortedOrder(int, int) - Method in class org.apache.ignite.ml.tree.data.TreeDataIndex: Deprecated.

Returns label for kth order statistic for target feature.
LabelPair<L> - Class in org.apache.ignite.ml.selection.scoring: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
LabelPair(L, L) - Constructor for class org.apache.ignite.ml.selection.scoring.LabelPair: Deprecated.

Constructs a new instance of truth with prediction.
LabelPairCursor<L> - Interface in org.apache.ignite.ml.selection.scoring.cursor: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
LabelPartitionDataBuilderOnHeap<K,V,C extends Serializable> - Class in org.apache.ignite.ml.structures.partition: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
LabelPartitionDataBuilderOnHeap(Preprocessor<K, V>) - Constructor for class org.apache.ignite.ml.structures.partition.LabelPartitionDataBuilderOnHeap: Deprecated.

Constructs a new instance of Label partition data builder.
LabelPartitionDataOnHeap - Class in org.apache.ignite.ml.structures.partition: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
LabelPartitionDataOnHeap(double[]) - Constructor for class org.apache.ignite.ml.structures.partition.LabelPartitionDataOnHeap: Deprecated.

Constructs a new instance of linear system partition data.
labels() - Method in class org.apache.ignite.ml.knn.ann.ANNClassificationTrainer.CentroidStat: Deprecated.
labels() - Method in class org.apache.ignite.ml.structures.LabeledVectorSet: Deprecated.

Returns new copy of labels of all labeled vectors NOTE: This method is useful for copying labels from test dataset.
LayerArchitecture - Class in org.apache.ignite.ml.nn.architecture: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
LayerArchitecture(int) - Constructor for class org.apache.ignite.ml.nn.architecture.LayerArchitecture: Deprecated.

Construct LayerArchitecture.
layerArchitecture(int) - Method in class org.apache.ignite.ml.nn.architecture.MLPArchitecture: Deprecated.

Get architecture of layer with given index.
layers - Variable in class org.apache.ignite.ml.nn.MultilayerPerceptron: Deprecated.

List containing layers parameters.
layersCount() - Method in class org.apache.ignite.ml.nn.architecture.MLPArchitecture: Deprecated.

Count of layers in MLP.
layersCount() - Method in class org.apache.ignite.ml.nn.MultilayerPerceptron: Deprecated.

Get count of layers in this MLP.
LeafValuesComputer<T> - Class in org.apache.ignite.ml.tree.randomforest.data.statistics: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
LeafValuesComputer() - Constructor for class org.apache.ignite.ml.tree.randomforest.data.statistics.LeafValuesComputer: Deprecated.
LearningEnvironment - Interface in org.apache.ignite.ml.environment: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
learningEnvironment(Preprocessor<K, V>) - Method in interface org.apache.ignite.ml.preprocessing.PreprocessingTrainer: Deprecated.

Returns local learning environment with initialized deploying context by base preptocessor.
learningEnvironment() - Method in class org.apache.ignite.ml.trainers.DatasetTrainer: Deprecated.

Get learning environment.
LearningEnvironmentBuilder - Interface in org.apache.ignite.ml.environment: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
learnLabels(DatasetBuilder<K, V>, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.composition.boosting.GDBBinaryClassifierTrainer: Deprecated.

Defines unique labels in dataset if need (useful in case of classification).
learnLabels(DatasetBuilder<K, V>, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.composition.boosting.GDBRegressionTrainer: Deprecated.

Defines unique labels in dataset if need (useful in case of classification).
learnLabels(DatasetBuilder<K, V>, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.composition.boosting.GDBTrainer: Deprecated.

Defines unique labels in dataset if need (useful in case of classification).
learnModels(DatasetBuilder<K, V>, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.composition.boosting.GDBLearningStrategy: Deprecated.

Implementation of gradient boosting iterations.
length() - Method in class org.apache.ignite.ml.math.primitives.vector.storage.VectorViewStorage: Deprecated.
LG - Static variable in class org.apache.ignite.ml.math.functions.Functions: Deprecated.

Function that returns Math.log(a) / Math.log(b).
like(int, int) - Method in class org.apache.ignite.ml.math.primitives.matrix.impl.DenseMatrix: Deprecated.

Creates new empty matrix of the same underlying class but of different size.
like(int, int) - Method in class org.apache.ignite.ml.math.primitives.matrix.impl.SparseMatrix: Deprecated.

Creates new empty matrix of the same underlying class but of different size.
like(int, int) - Method in class org.apache.ignite.ml.math.primitives.matrix.impl.ViewMatrix: Deprecated.

Creates new empty matrix of the same underlying class but of different size.
like(int, int) - Method in interface org.apache.ignite.ml.math.primitives.matrix.Matrix: Deprecated.

Creates new empty matrix of the same underlying class but of different size.
like(int) - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingVector: Deprecated.

Creates new empty vector of the same underlying class but of different cardinality.
like(int) - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DenseVector: Deprecated.

Creates new empty vector of the same underlying class but of different cardinality.
like(int) - Method in class org.apache.ignite.ml.math.primitives.vector.impl.SparseVector: Deprecated.

Creates new empty vector of the same underlying class but of different cardinality.
like(int) - Method in class org.apache.ignite.ml.math.primitives.vector.impl.VectorizedViewMatrix: Deprecated.

Creates new empty vector of the same underlying class but of different cardinality.
like(int) - Method in class org.apache.ignite.ml.math.primitives.vector.impl.VectorView: Deprecated.

Creates new empty vector of the same underlying class but of different cardinality.
like(int) - Method in interface org.apache.ignite.ml.math.primitives.vector.Vector: Deprecated.

Creates new empty vector of the same underlying class but of different cardinality.
like(Matrix) - Static method in class org.apache.ignite.ml.math.util.MatrixUtil: Deprecated.

Create the like matrix with read-only matrices support.
like(Matrix, int, int) - Static method in class org.apache.ignite.ml.math.util.MatrixUtil: Deprecated.

Create the like matrix with specified size with read-only matrices support.
likeIdentity() - Method in class org.apache.ignite.ml.math.primitives.matrix.AbstractMatrix: Deprecated.
likelihood(Vector) - Method in class org.apache.ignite.ml.math.stat.DistributionMixture: Deprecated.
likeMatrix(int, int) - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingVector: Deprecated.

Creates new matrix of compatible flavor with given size.
likeMatrix(int, int) - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DenseVector: Deprecated.

Creates new matrix of compatible flavor with given size.
likeMatrix(int, int) - Method in class org.apache.ignite.ml.math.primitives.vector.impl.SparseVector: Deprecated.

Creates new matrix of compatible flavor with given size.
likeMatrix(int, int) - Method in class org.apache.ignite.ml.math.primitives.vector.impl.VectorizedViewMatrix: Deprecated.

Creates new matrix of compatible flavor with given size.
likeMatrix(int, int) - Method in class org.apache.ignite.ml.math.primitives.vector.impl.VectorView: Deprecated.

Creates new matrix of compatible flavor with given size.
likeMatrix(int, int) - Method in interface org.apache.ignite.ml.math.primitives.vector.Vector: Deprecated.

Creates new matrix of compatible flavor with given size.
likeVector(int) - Method in class org.apache.ignite.ml.math.primitives.matrix.impl.DenseMatrix: Deprecated.

Creates new empty vector of compatible properties (similar or the same flavor) to this matrix.
likeVector(int) - Method in class org.apache.ignite.ml.math.primitives.matrix.impl.SparseMatrix: Deprecated.

Creates new empty vector of compatible properties (similar or the same flavor) to this matrix.
likeVector(int) - Method in class org.apache.ignite.ml.math.primitives.matrix.impl.ViewMatrix: Deprecated.

Creates new empty vector of compatible properties (similar or the same flavor) to this matrix.
likeVector(int) - Method in interface org.apache.ignite.ml.math.primitives.matrix.Matrix: Deprecated.

Creates new empty vector of compatible properties (similar or the same flavor) to this matrix.
likeVector(Matrix, int) - Static method in class org.apache.ignite.ml.math.util.MatrixUtil: Deprecated.

Create the like vector with read-only matrices support.
likeVector(Matrix) - Static method in class org.apache.ignite.ml.math.util.MatrixUtil: Deprecated.

Create the like vector with read-only matrices support.
LINEAR - Static variable in class org.apache.ignite.ml.nn.Activators: Deprecated.

Linear unit activation function.
linearOutput - Variable in class org.apache.ignite.ml.nn.MLPState: Deprecated.

Output of linear transformations.
linearOutput(int) - Method in class org.apache.ignite.ml.nn.MLPState: Deprecated.

Output of linear transformation of given layer.
LinearRegressionLSQRTrainer - Class in org.apache.ignite.ml.regressions.linear: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
LinearRegressionLSQRTrainer() - Constructor for class org.apache.ignite.ml.regressions.linear.LinearRegressionLSQRTrainer: Deprecated.
LinearRegressionModel - Class in org.apache.ignite.ml.regressions.linear: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
LinearRegressionModel(Vector, double) - Constructor for class org.apache.ignite.ml.regressions.linear.LinearRegressionModel: Deprecated.
LinearRegressionSGDTrainer - Class in org.apache.ignite.ml.regressions.linear: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
LinearRegressionSGDTrainer(UpdatesStrategy<? super MultilayerPerceptron, P>, int, int, int, long) - Constructor for class org.apache.ignite.ml.regressions.linear.LinearRegressionSGDTrainer: Deprecated.

Constructs a new instance of linear regression SGD trainer.
LinearRegressionSGDTrainer(UpdatesStrategy<? super MultilayerPerceptron, P>) - Constructor for class org.apache.ignite.ml.regressions.linear.LinearRegressionSGDTrainer: Deprecated.

Constructs a new instance of linear regression SGD trainer.
listFiles(String) - Method in class org.apache.ignite.ml.inference.storage.model.DefaultModelStorage: Deprecated.

Returns list of files in the specified directory.
listFiles(String) - Method in interface org.apache.ignite.ml.inference.storage.model.ModelStorage: Deprecated.

Returns list of files in the specified directory.
load(P) - Method in interface org.apache.ignite.ml.Exporter: Deprecated.

Load model representation object from p.
load(String) - Method in class org.apache.ignite.ml.FileExporter: Deprecated.

Load model representation object from p.
loadDataset(MLSandboxDatasets) - Method in class org.apache.ignite.ml.util.SandboxMLCache: Deprecated.

Loads dataset as a list of rows.
loadFromTxtFile(Path, String, boolean, boolean) - Static method in class org.apache.ignite.ml.structures.preprocessing.LabeledDatasetLoader: Deprecated.

Datafile should keep class labels in the first column.
localCopyOf(Vector) - Static method in class org.apache.ignite.ml.math.util.MatrixUtil: Deprecated.

TODO: IGNITE-5723, rewrite in a more optimal way.
LocalDataset<C extends Serializable,D extends AutoCloseable> - Class in org.apache.ignite.ml.dataset.impl.local: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
LocalDatasetBuilder<K,V> - Class in org.apache.ignite.ml.dataset.impl.local: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
LocalDatasetBuilder(Map<K, V>, int) - Constructor for class org.apache.ignite.ml.dataset.impl.local.LocalDatasetBuilder: Deprecated.

Constructs a new instance of local dataset builder that makes LocalDataset with default predicate that passes all upstream entries to dataset.
LocalDatasetBuilder(Map<K, V>, IgniteBiPredicate<K, V>, int, UpstreamTransformerBuilder) - Constructor for class org.apache.ignite.ml.dataset.impl.local.LocalDatasetBuilder: Deprecated.

Constructs a new instance of local dataset builder that makes LocalDataset.
LocalDatasetBuilder(Map<K, V>, IgniteBiPredicate<K, V>, int) - Constructor for class org.apache.ignite.ml.dataset.impl.local.LocalDatasetBuilder: Deprecated.

Constructs a new instance of local dataset builder that makes LocalDataset.
LocalLabelPairCursor<L,K,V,T> - Class in org.apache.ignite.ml.selection.scoring.cursor: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
LocalLabelPairCursor(Map<K, V>, IgniteBiPredicate<K, V>, Preprocessor<K, V>, IgniteModel<Vector, L>) - Constructor for class org.apache.ignite.ml.selection.scoring.cursor.LocalLabelPairCursor: Deprecated.

Constructs a new instance of local truth with prediction cursor.
LocalModelDescriptorStorage - Class in org.apache.ignite.ml.inference.storage.descriptor: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
LocalModelDescriptorStorage() - Constructor for class org.apache.ignite.ml.inference.storage.descriptor.LocalModelDescriptorStorage: Deprecated.
LocalModelStorageProvider - Class in org.apache.ignite.ml.inference.storage.model: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
LocalModelStorageProvider() - Constructor for class org.apache.ignite.ml.inference.storage.model.LocalModelStorageProvider: Deprecated.
lock(String) - Method in class org.apache.ignite.ml.inference.storage.model.IgniteModelStorageProvider: Deprecated.

Locks the specified path.
lock(String) - Method in class org.apache.ignite.ml.inference.storage.model.LocalModelStorageProvider: Deprecated.

Locks the specified path.
lock(String) - Method in interface org.apache.ignite.ml.inference.storage.model.ModelStorageProvider: Deprecated.

Locks the specified path.
lockPaths(Supplier<T>, String...) - Method in class org.apache.ignite.ml.inference.storage.model.DefaultModelStorage: Deprecated.

Locks paths in model storage and call passed method.
lockPaths(Supplier<T>, String...) - Method in interface org.apache.ignite.ml.inference.storage.model.ModelStorage: Deprecated.

Locks paths in model storage and call passed method.
locStepUpdatesReducer() - Method in class org.apache.ignite.ml.nn.UpdatesStrategy: Deprecated.

Get function used to reduce updates in one training (for example, sum all sequential gradient updates to get one gradient update).
log(Vector) - Method in class org.apache.ignite.ml.environment.logging.ConsoleLogger: Deprecated.

Log vector.
log(MLLogger.VerboseLevel, IgniteModel<K, V>) - Method in class org.apache.ignite.ml.environment.logging.ConsoleLogger: Deprecated.

Log model according to toString method.
log(MLLogger.VerboseLevel, String, Object...) - Method in class org.apache.ignite.ml.environment.logging.ConsoleLogger: Deprecated.

Log line with formatting.
log(Vector) - Method in class org.apache.ignite.ml.environment.logging.CustomMLLogger: Deprecated.

Log vector.
log(MLLogger.VerboseLevel, IgniteModel<K, V>) - Method in class org.apache.ignite.ml.environment.logging.CustomMLLogger: Deprecated.

Log model according to toString method.
log(MLLogger.VerboseLevel, String, Object...) - Method in class org.apache.ignite.ml.environment.logging.CustomMLLogger: Deprecated.

Log line with formatting.
log(Vector) - Method in interface org.apache.ignite.ml.environment.logging.MLLogger: Deprecated.

Log vector.
log(MLLogger.VerboseLevel, IgniteModel<K, V>) - Method in interface org.apache.ignite.ml.environment.logging.MLLogger: Deprecated.

Log model according to toString method.
log(MLLogger.VerboseLevel, String, Object...) - Method in interface org.apache.ignite.ml.environment.logging.MLLogger: Deprecated.

Log line with formatting.
log(Vector) - Method in class org.apache.ignite.ml.environment.logging.NoOpLogger: Deprecated.

Log vector.
log(MLLogger.VerboseLevel, IgniteModel<K, V>) - Method in class org.apache.ignite.ml.environment.logging.NoOpLogger: Deprecated.

Log model according to toString method.
log(MLLogger.VerboseLevel, String, Object...) - Method in class org.apache.ignite.ml.environment.logging.NoOpLogger: Deprecated.

Log line with formatting.
LOG - Static variable in class org.apache.ignite.ml.optimization.LossFunctions: Deprecated.

Log loss function.
LOG2 - Static variable in class org.apache.ignite.ml.math.functions.Functions: Deprecated.

Function that returns Math.log(a) / Math.log(2).
LOG2 - Static variable in class org.apache.ignite.ml.tree.randomforest.data.FeaturesCountSelectionStrategies: Deprecated.
logger() - Method in interface org.apache.ignite.ml.environment.LearningEnvironment: Deprecated.

Returns an instance of logger.
logger(Class<T>) - Method in interface org.apache.ignite.ml.environment.LearningEnvironment: Deprecated.

Returns an instance of logger for specific class.
LogisticRegressionModel - Class in org.apache.ignite.ml.regressions.logistic: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
LogisticRegressionModel(Vector, double) - Constructor for class org.apache.ignite.ml.regressions.logistic.LogisticRegressionModel: Deprecated.
LogisticRegressionSGDTrainer - Class in org.apache.ignite.ml.regressions.logistic: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
LogisticRegressionSGDTrainer() - Constructor for class org.apache.ignite.ml.regressions.logistic.LogisticRegressionSGDTrainer: Deprecated.
LogLoss - Class in org.apache.ignite.ml.composition.boosting.loss: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
LogLoss() - Constructor for class org.apache.ignite.ml.composition.boosting.loss.LogLoss: Deprecated.
logNormalize() - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.

Creates new vector containing the log(1 + entry) / L_2 norm values of this vector.
logNormalize(double) - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.

Creates new vector with a normalized value calculated as log_power(1 + entry) / L_power norm.
logNormalize() - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingVector: Deprecated.

Creates new vector containing the log(1 + entry) / L_2 norm values of this vector.
logNormalize(double) - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingVector: Deprecated.

Creates new vector with a normalized value calculated as log_power(1 + entry) / L_power norm.
logNormalize() - Method in interface org.apache.ignite.ml.math.primitives.vector.Vector: Deprecated.

Creates new vector containing the log(1 + entry) / L_2 norm values of this vector.
logNormalize(double) - Method in interface org.apache.ignite.ml.math.primitives.vector.Vector: Deprecated.

Creates new vector with a normalized value calculated as log_power(1 + entry) / L_power norm.
loss - Variable in class org.apache.ignite.ml.composition.boosting.GDBLearningStrategy: Deprecated.

Loss of gradient.
loss - Variable in class org.apache.ignite.ml.composition.boosting.GDBTrainer: Deprecated.

Loss function.
Loss - Interface in org.apache.ignite.ml.composition.boosting.loss: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
loss - Variable in class org.apache.ignite.ml.optimization.updatecalculators.RPropUpdateCalculator: Deprecated.

Loss function.
loss - Variable in class org.apache.ignite.ml.optimization.updatecalculators.SimpleGDUpdateCalculator: Deprecated.

Loss function.
LossFunctions - Class in org.apache.ignite.ml.optimization: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
LossFunctions() - Constructor for class org.apache.ignite.ml.optimization.LossFunctions: Deprecated.
LOW - Static variable in class org.apache.ignite.ml.environment.logging.ConsoleLogger.Factory: Deprecated.

Low.
LRUCache<K,V> - Class in org.apache.ignite.ml.util: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
LRUCache(int) - Constructor for class org.apache.ignite.ml.util.LRUCache: Deprecated.

Constructs a new instance of LRU cache.
LRUCache(int, LRUCacheExpirationListener<V>) - Constructor for class org.apache.ignite.ml.util.LRUCache: Deprecated.

Constructs a new instance of LRU cache.
LRUCacheExpirationListener<V> - Interface in org.apache.ignite.ml.util: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
LSQROnHeap<K,V> - Class in org.apache.ignite.ml.math.isolve.lsqr: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
LSQROnHeap(DatasetBuilder<K, V>, LearningEnvironmentBuilder, PartitionDataBuilder<K, V, LSQRPartitionContext, SimpleLabeledDatasetData>, LearningEnvironment) - Constructor for class org.apache.ignite.ml.math.isolve.lsqr.LSQROnHeap: Deprecated.

Constructs a new instance of OnHeap LSQR algorithm implementation.
LSQRPartitionContext - Class in org.apache.ignite.ml.math.isolve.lsqr: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
LSQRPartitionContext() - Constructor for class org.apache.ignite.ml.math.isolve.lsqr.LSQRPartitionContext: Deprecated.
LSQRResult - Class in org.apache.ignite.ml.math.isolve.lsqr: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
LSQRResult(double[], int, int, double, double, double, double, double, double, double[]) - Constructor for class org.apache.ignite.ml.math.isolve.lsqr.LSQRResult: Deprecated.

Constructs a new instance of LSQR result.
LUDecomposition - Class in org.apache.ignite.ml.math.primitives.matrix: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
LUDecomposition(Matrix) - Constructor for class org.apache.ignite.ml.math.primitives.matrix.LUDecomposition: Deprecated.

Calculates the LU-decomposition of the given matrix.
LUDecomposition(Matrix, double) - Constructor for class org.apache.ignite.ml.math.primitives.matrix.LUDecomposition: Deprecated.

Calculates the LUP-decomposition of the given matrix.

M

mae() - Method in class org.apache.ignite.ml.selection.scoring.metric.regression.RegressionMetricValues: Deprecated.

Returns mean absolute error.
makeBagged(DatasetTrainer<? extends IgniteModel, L>, int, double, PredictionsAggregator) - Static method in class org.apache.ignite.ml.trainers.TrainerTransformers: Deprecated.

Add bagging logic to a given trainer.
makeBagged(DatasetTrainer<M, L>, int, double, int, int, PredictionsAggregator) - Static method in class org.apache.ignite.ml.trainers.TrainerTransformers: Deprecated.

Add bagging logic to a given trainer.
makeElement(int) - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.
ManhattanDistance - Class in org.apache.ignite.ml.math.distances: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
ManhattanDistance() - Constructor for class org.apache.ignite.ml.math.distances.ManhattanDistance: Deprecated.
map(Object, Double) - Method in class org.apache.ignite.ml.dataset.feature.extractor.impl.BinaryObjectVectorizer.Mapping: Deprecated.

Add mapping.
map(List<ClusterNode>, List<Long>) - Method in class org.apache.ignite.ml.genetic.CrossOverTask: Deprecated.
map(List<ClusterNode>, List<Long>) - Method in class org.apache.ignite.ml.genetic.FitnessTask: Deprecated.
map(List<ClusterNode>, List<Long>) - Method in class org.apache.ignite.ml.genetic.MutateTask: Deprecated.
map(List<ClusterNode>, LinkedHashMap<Long, Double>) - Method in class org.apache.ignite.ml.genetic.RouletteWheelSelectionTask: Deprecated.
map(List<ClusterNode>, List<Long>) - Method in class org.apache.ignite.ml.genetic.TruncateSelectionTask: Deprecated.
map(IgniteDoubleFunction<Double>) - Method in class org.apache.ignite.ml.math.primitives.matrix.AbstractMatrix: Deprecated.

Maps all values in this matrix through a given function.
map(Matrix, IgniteBiFunction<Double, Double, Double>) - Method in class org.apache.ignite.ml.math.primitives.matrix.AbstractMatrix: Deprecated.

Maps all values in this matrix through a given function.
map(IgniteDoubleFunction<Double>) - Method in interface org.apache.ignite.ml.math.primitives.matrix.Matrix: Deprecated.

Maps all values in this matrix through a given function.
map(Matrix, IgniteBiFunction<Double, Double, Double>) - Method in interface org.apache.ignite.ml.math.primitives.matrix.Matrix: Deprecated.

Maps all values in this matrix through a given function.
map(IgniteDoubleFunction<Double>) - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.

Maps all values in this vector through a given function.
map(Vector, IgniteBiFunction<Double, Double, Double>) - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.

Maps all values in this vector through a given function.
map(IgniteBiFunction<Double, Double, Double>, double) - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.

Maps all elements of this vector by applying given function to each element with a constant second parameter y.
map(IgniteDoubleFunction<Double>) - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingVector: Deprecated.

Maps all values in this vector through a given function.
map(Vector, IgniteBiFunction<Double, Double, Double>) - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingVector: Deprecated.

Maps all values in this vector through a given function.
map(IgniteBiFunction<Double, Double, Double>, double) - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingVector: Deprecated.

Maps all elements of this vector by applying given function to each element with a constant second parameter y.
map(IgniteDoubleFunction<Double>) - Method in interface org.apache.ignite.ml.math.primitives.vector.Vector: Deprecated.

Maps all values in this vector through a given function.
map(Vector, IgniteBiFunction<Double, Double, Double>) - Method in interface org.apache.ignite.ml.math.primitives.vector.Vector: Deprecated.

Maps all values in this vector through a given function.
map(IgniteBiFunction<Double, Double, Double>, double) - Method in interface org.apache.ignite.ml.math.primitives.vector.Vector: Deprecated.

Maps all elements of this vector by applying given function to each element with a constant second parameter y.
map(IgniteFunction<LabeledVector<L1>, LabeledVector<L2>>) - Method in interface org.apache.ignite.ml.preprocessing.Preprocessor: Deprecated.

Map vectorizer answer.
map(K, V) - Method in class org.apache.ignite.ml.selection.split.mapper.SHA256UniformMapper: Deprecated.

Maps key-value pair to a point on the segment (0, 1).
map(K, V) - Method in interface org.apache.ignite.ml.selection.split.mapper.UniformMapper: Deprecated.

Maps key-value pair to a point on the segment (0, 1).
map(IgniteFunction<Vector, Vector>) - Method in interface org.apache.ignite.ml.util.generators.primitives.vector.VectorGenerator: Deprecated.

Maps values of vector generator using mapper.
map(IgniteFunction<VectorGenerator, VectorGenerator>) - Method in class org.apache.ignite.ml.util.generators.primitives.vector.VectorGeneratorsFamily.Builder: Deprecated.

Adds map function for all generators in family.
mapFeatures(Vector) - Method in interface org.apache.ignite.ml.composition.DatasetMapping: Deprecated.

Method used to map feature vectors.
mapLabels(L1) - Method in interface org.apache.ignite.ml.composition.DatasetMapping: Deprecated.

Method used to map labels.
MappedPreprocessor<K,V,L0,L1> - Class in org.apache.ignite.ml.preprocessing.developer: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
MappedPreprocessor(Preprocessor<K, V>, IgniteFunction<LabeledVector<L0>, LabeledVector<L1>>) - Constructor for class org.apache.ignite.ml.preprocessing.developer.MappedPreprocessor: Deprecated.

Creates an instance of MappedPreprocessor.
mapper - Variable in class org.apache.ignite.ml.selection.cv.AbstractCrossValidation: Deprecated.

Mapper.
Mapping() - Constructor for class org.apache.ignite.ml.dataset.feature.extractor.impl.BinaryObjectVectorizer.Mapping: Deprecated.
mappingFeatures(IgniteFunction<Vector, Vector>) - Static method in interface org.apache.ignite.ml.composition.DatasetMapping: Deprecated.

Dataset mapping which maps features, leaving labels unaffected.
mapToBucket(T) - Method in class org.apache.ignite.ml.dataset.feature.ObjectHistogram: Deprecated.

Bucket mapping.
mapToBucket(BootstrappedVector) - Method in class org.apache.ignite.ml.tree.randomforest.data.impurity.basic.BootstrappedVectorsHistogram: Deprecated.

Bucket mapping.
mapToCounter(T) - Method in class org.apache.ignite.ml.dataset.feature.ObjectHistogram: Deprecated.

Counter mapping.
mapToCounter(BootstrappedVector) - Method in class org.apache.ignite.ml.tree.randomforest.data.impurity.basic.CountersHistogram: Deprecated.

Counter mapping.
MapUtil - Class in org.apache.ignite.ml.math.util: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
MapUtil() - Constructor for class org.apache.ignite.ml.math.util.MapUtil: Deprecated.
mapVectors(IgniteFunction<Vector, Vector>) - Method in interface org.apache.ignite.ml.util.generators.DataStreamGenerator: Deprecated.

Apply user defined mapper to vectors stream without labels hiding.
MathIllegalArgumentException - Exception in org.apache.ignite.ml.math.exceptions: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
MathIllegalArgumentException(String, Object...) - Constructor for exception org.apache.ignite.ml.math.exceptions.MathIllegalArgumentException: Deprecated.
MathRuntimeException - Exception in org.apache.ignite.ml.math.exceptions: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
MathRuntimeException(String, Object...) - Constructor for exception org.apache.ignite.ml.math.exceptions.MathRuntimeException: Deprecated.
MathRuntimeException(Throwable, String, Object...) - Constructor for exception org.apache.ignite.ml.math.exceptions.MathRuntimeException: Deprecated.
Matrix - Interface in org.apache.ignite.ml.math.primitives.matrix: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
Matrix.Element - Interface in org.apache.ignite.ml.math.primitives.matrix: Deprecated.

Holder for matrix's element.
MatrixFactorizationGradient<O extends Serializable,S extends Serializable> - Class in org.apache.ignite.ml.recommendation.util: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
MatrixFactorizationGradient(Map<O, Vector>, Map<S, Vector>, int) - Constructor for class org.apache.ignite.ml.recommendation.util.MatrixFactorizationGradient: Deprecated.

Constructs a new instance of matrix factorization gradient.
MatrixStorage - Interface in org.apache.ignite.ml.math.primitives.matrix: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
MatrixUtil - Class in org.apache.ignite.ml.math.util: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
MatrixUtil() - Constructor for class org.apache.ignite.ml.math.util.MatrixUtil: Deprecated.
max() - Method in class org.apache.ignite.ml.tree.randomforest.data.statistics.NormalDistributionStatistics: Deprecated.
MAX_ABS - Static variable in class org.apache.ignite.ml.math.functions.Functions: Deprecated.

Function that returns max(abs(a), abs(b)).
MAX_GENERIC(T, T, Comparator<T>) - Static method in class org.apache.ignite.ml.math.functions.Functions: Deprecated.

Generic 'max' function.
MaxAbsScalerPartitionData - Class in org.apache.ignite.ml.preprocessing.maxabsscaling: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
MaxAbsScalerPartitionData(double[]) - Constructor for class org.apache.ignite.ml.preprocessing.maxabsscaling.MaxAbsScalerPartitionData: Deprecated.

Constructs a new instance of maxabsscaling partition data.
MaxAbsScalerPreprocessor<K,V> - Class in org.apache.ignite.ml.preprocessing.maxabsscaling: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
MaxAbsScalerPreprocessor(double[], Preprocessor<K, V>) - Constructor for class org.apache.ignite.ml.preprocessing.maxabsscaling.MaxAbsScalerPreprocessor: Deprecated.

Constructs a new instance of maxabsscaling preprocessor.
MaxAbsScalerTrainer<K,V> - Class in org.apache.ignite.ml.preprocessing.maxabsscaling: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
MaxAbsScalerTrainer() - Constructor for class org.apache.ignite.ml.preprocessing.maxabsscaling.MaxAbsScalerTrainer: Deprecated.
maxElement() - Method in class org.apache.ignite.ml.math.primitives.matrix.AbstractMatrix: Deprecated.

Gets the maximum element in this matrix.
maxElement() - Method in interface org.apache.ignite.ml.math.primitives.matrix.Matrix: Deprecated.

Gets the maximum element in this matrix.
maxElement() - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.

Gets maximum element in this vector.
maxElement() - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingVector: Deprecated.

Gets maximum element in this vector.
maxElement() - Method in interface org.apache.ignite.ml.math.primitives.vector.Vector: Deprecated.

Gets maximum element in this vector.
maxValue() - Method in class org.apache.ignite.ml.math.primitives.matrix.AbstractMatrix: Deprecated.

Gets the maximum value in this matrix.
maxValue() - Method in interface org.apache.ignite.ml.math.primitives.matrix.Matrix: Deprecated.

Gets the maximum value in this matrix.
maxValue() - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.

Gets maximum value in this vector.
maxValue() - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingVector: Deprecated.

Gets maximum value in this vector.
maxValue() - Method in interface org.apache.ignite.ml.math.primitives.vector.Vector: Deprecated.

Gets maximum value in this vector.
mean() - Method in class org.apache.ignite.ml.clustering.gmm.NewComponentStatisticsAggregator: Deprecated.
mean() - Method in class org.apache.ignite.ml.dataset.primitive.SimpleDataset: Deprecated.

Calculates mean value by all columns.
mean() - Method in class org.apache.ignite.ml.math.stat.MultivariateGaussianDistribution: Deprecated.
mean() - Method in class org.apache.ignite.ml.tree.randomforest.data.statistics.MeanValueStatistic: Deprecated.
mean() - Method in class org.apache.ignite.ml.tree.randomforest.data.statistics.NormalDistributionStatistics: Deprecated.
MeanAbsValueConvergenceChecker<K,V> - Class in org.apache.ignite.ml.composition.boosting.convergence.mean: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
MeanAbsValueConvergenceChecker(long, IgniteFunction<Double, Double>, Loss, DatasetBuilder<K, V>, Preprocessor<K, V>, double) - Constructor for class org.apache.ignite.ml.composition.boosting.convergence.mean.MeanAbsValueConvergenceChecker: Deprecated.

Creates an instance of MeanAbsValueConvergenceChecker.
MeanAbsValueConvergenceCheckerFactory - Class in org.apache.ignite.ml.composition.boosting.convergence.mean: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
MeanAbsValueConvergenceCheckerFactory(double) - Constructor for class org.apache.ignite.ml.composition.boosting.convergence.mean.MeanAbsValueConvergenceCheckerFactory: Deprecated.
MeanDecisionTreeLeafBuilder - Class in org.apache.ignite.ml.tree.leaf: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
MeanDecisionTreeLeafBuilder() - Constructor for class org.apache.ignite.ml.tree.leaf.MeanDecisionTreeLeafBuilder: Deprecated.
meanLbVal - Variable in class org.apache.ignite.ml.composition.boosting.GDBLearningStrategy: Deprecated.

Mean label value.
MeanValuePredictionsAggregator - Class in org.apache.ignite.ml.composition.predictionsaggregator: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
MeanValuePredictionsAggregator() - Constructor for class org.apache.ignite.ml.composition.predictionsaggregator.MeanValuePredictionsAggregator: Deprecated.
MeanValueStatistic - Class in org.apache.ignite.ml.tree.randomforest.data.statistics: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
MeanValueStatistic(double, long) - Constructor for class org.apache.ignite.ml.tree.randomforest.data.statistics.MeanValueStatistic: Deprecated.

Creates an instance of MeanValueStatistic.
MedianOfMedianConvergenceChecker<K,V> - Class in org.apache.ignite.ml.composition.boosting.convergence.median: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
MedianOfMedianConvergenceChecker(long, IgniteFunction<Double, Double>, Loss, DatasetBuilder<K, V>, Preprocessor<K, V>, double) - Constructor for class org.apache.ignite.ml.composition.boosting.convergence.median.MedianOfMedianConvergenceChecker: Deprecated.

Creates an instance of MedianOfMedianConvergenceChecker.
MedianOfMedianConvergenceCheckerFactory - Class in org.apache.ignite.ml.composition.boosting.convergence.median: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
MedianOfMedianConvergenceCheckerFactory(double) - Constructor for class org.apache.ignite.ml.composition.boosting.convergence.median.MedianOfMedianConvergenceCheckerFactory: Deprecated.
mergeLeafStats(ObjectHistogram<BootstrappedVector>, ObjectHistogram<BootstrappedVector>) - Method in class org.apache.ignite.ml.tree.randomforest.data.statistics.ClassifierLeafValuesComputer: Deprecated.

Merge statistics for same leafs.
mergeLeafStats(T, T) - Method in class org.apache.ignite.ml.tree.randomforest.data.statistics.LeafValuesComputer: Deprecated.

Merge statistics for same leafs.
mergeLeafStats(MeanValueStatistic, MeanValueStatistic) - Method in class org.apache.ignite.ml.tree.randomforest.data.statistics.RegressionLeafValuesComputer: Deprecated.

Merge statistics for same leafs.
mergeMaps(M, M, BinaryOperator<V>, Supplier<M>) - Static method in class org.apache.ignite.ml.math.util.MapUtil: Deprecated.
meta - Variable in class org.apache.ignite.ml.structures.Dataset: Deprecated.

Metadata to identify feature.
meta() - Method in class org.apache.ignite.ml.structures.Dataset: Deprecated.
MetaAttributes - Interface in org.apache.ignite.ml.math: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
metric - Variable in class org.apache.ignite.ml.selection.cv.AbstractCrossValidation: Deprecated.

Metric.
metric - Variable in class org.apache.ignite.ml.selection.scoring.metric.AbstractMetrics: Deprecated.

The main metric to get individual score.
Metric<L> - Interface in org.apache.ignite.ml.selection.scoring.metric: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
MetricValues - Interface in org.apache.ignite.ml.selection.scoring.metric: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
MIN - Static variable in class org.apache.ignite.ml.math.functions.Functions: Deprecated.

Function that returns min(a, b).
min() - Method in class org.apache.ignite.ml.tree.randomforest.data.statistics.NormalDistributionStatistics: Deprecated.
MIN_ABS - Static variable in class org.apache.ignite.ml.math.functions.Functions: Deprecated.

Function that returns min(abs(a), abs(b)).
MIN_GENERIC(T, T, Comparator<T>) - Static method in class org.apache.ignite.ml.math.functions.Functions: Deprecated.

Generic 'min' function.
minElement() - Method in class org.apache.ignite.ml.math.primitives.matrix.AbstractMatrix: Deprecated.

Gets the minimum element in this matrix.
minElement() - Method in interface org.apache.ignite.ml.math.primitives.matrix.Matrix: Deprecated.

Gets the minimum element in this matrix.
minElement() - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.

Gets minimal element in this vector.
minElement() - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingVector: Deprecated.

Gets minimal element in this vector.
minElement() - Method in interface org.apache.ignite.ml.math.primitives.vector.Vector: Deprecated.

Gets minimal element in this vector.
MinMaxScalerPartitionData - Class in org.apache.ignite.ml.preprocessing.minmaxscaling: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
MinMaxScalerPartitionData(double[], double[]) - Constructor for class org.apache.ignite.ml.preprocessing.minmaxscaling.MinMaxScalerPartitionData: Deprecated.

Constructs a new instance of minmaxscaling partition data.
MinMaxScalerPreprocessor<K,V> - Class in org.apache.ignite.ml.preprocessing.minmaxscaling: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
MinMaxScalerPreprocessor(double[], double[], Preprocessor<K, V>) - Constructor for class org.apache.ignite.ml.preprocessing.minmaxscaling.MinMaxScalerPreprocessor: Deprecated.

Constructs a new instance of minmaxscaling preprocessor.
MinMaxScalerTrainer<K,V> - Class in org.apache.ignite.ml.preprocessing.minmaxscaling: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
MinMaxScalerTrainer() - Constructor for class org.apache.ignite.ml.preprocessing.minmaxscaling.MinMaxScalerTrainer: Deprecated.
MINUS - Static variable in class org.apache.ignite.ml.math.functions.Functions: Deprecated.

Function that returns a - b.
minus(Matrix) - Method in class org.apache.ignite.ml.math.primitives.matrix.AbstractMatrix: Deprecated.

Creates new matrix where each value is a difference between corresponding value of this matrix and passed in argument matrix.
minus(Matrix) - Method in interface org.apache.ignite.ml.math.primitives.matrix.Matrix: Deprecated.

Creates new matrix where each value is a difference between corresponding value of this matrix and passed in argument matrix.
minus(Vector) - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.

Creates new vector containing element by element difference between this vector and the argument one.
minus(Vector) - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingVector: Deprecated.

Creates new vector containing element by element difference between this vector and the argument one.
minus(Vector) - Method in interface org.apache.ignite.ml.math.primitives.vector.Vector: Deprecated.

Creates new vector containing element by element difference between this vector and the argument one.
MINUS_ABS - Static variable in class org.apache.ignite.ml.math.functions.Functions: Deprecated.

Function that returns abs(a - b).
MINUS_SQUARED - Static variable in class org.apache.ignite.ml.math.functions.Functions: Deprecated.

Function that returns (a - b) * (a - b)
minusMult(double) - Static method in class org.apache.ignite.ml.math.functions.Functions: Deprecated.

Function that returns a - b*constant.
minValue() - Method in class org.apache.ignite.ml.math.primitives.matrix.AbstractMatrix: Deprecated.

Gets the minimum value in this matrix.
minValue() - Method in interface org.apache.ignite.ml.math.primitives.matrix.Matrix: Deprecated.

Gets the minimum value in this matrix.
minValue() - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.

Gets minimal value in this vector.
minValue() - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingVector: Deprecated.

Gets minimal value in this vector.
minValue() - Method in interface org.apache.ignite.ml.math.primitives.vector.Vector: Deprecated.

Gets minimal value in this vector.
missRate() - Method in class org.apache.ignite.ml.selection.scoring.metric.classification.BinaryClassificationMetricValues: Deprecated.

Returns Miss Rate or False Negative Rate (FNR).
mkdir(String, boolean) - Method in class org.apache.ignite.ml.inference.storage.model.DefaultModelStorage: Deprecated.

Creates directory.
mkdir(String, boolean) - Method in interface org.apache.ignite.ml.inference.storage.model.ModelStorage: Deprecated.

Creates directory.
mkdir(String) - Method in interface org.apache.ignite.ml.inference.storage.model.ModelStorage: Deprecated.

Creates directory.
mkdirs(String) - Method in class org.apache.ignite.ml.inference.storage.model.DefaultModelStorage: Deprecated.

Creates directory and all required parent directories in the path.
mkdirs(String) - Method in interface org.apache.ignite.ml.inference.storage.model.ModelStorage: Deprecated.

Creates directory and all required parent directories in the path.
MLLogger - Interface in org.apache.ignite.ml.environment.logging: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
MLLogger.Factory - Interface in org.apache.ignite.ml.environment.logging: Deprecated.

MLLogger factory interface.
MLLogger.VerboseLevel - Enum in org.apache.ignite.ml.environment.logging: Deprecated.

Logging verbose level.
MLPArchitecture - Class in org.apache.ignite.ml.nn.architecture: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
MLPArchitecture(int) - Constructor for class org.apache.ignite.ml.nn.architecture.MLPArchitecture: Deprecated.

Construct an MLP architecture.
MLPInitializer - Interface in org.apache.ignite.ml.nn.initializers: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
MLPLayer - Class in org.apache.ignite.ml.nn: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
MLPLayer(Matrix, Vector) - Constructor for class org.apache.ignite.ml.nn.MLPLayer: Deprecated.

Construct MLPLayer from weights and biases.
MLPluginConfiguration - Class in org.apache.ignite.ml.util.plugin: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
MLPluginConfiguration() - Constructor for class org.apache.ignite.ml.util.plugin.MLPluginConfiguration: Deprecated.
MLPluginProvider - Class in org.apache.ignite.ml.util.plugin: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
MLPluginProvider() - Constructor for class org.apache.ignite.ml.util.plugin.MLPluginProvider: Deprecated.
MLPState - Class in org.apache.ignite.ml.nn: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
MLPState(Matrix) - Constructor for class org.apache.ignite.ml.nn.MLPState: Deprecated.

Construct MLP state.
MLPTrainer - Class in org.apache.ignite.ml.nn: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
MLPTrainer(MLPArchitecture, IgniteFunction<Vector, IgniteDifferentiableVectorToDoubleFunction>, UpdatesStrategy<? super MultilayerPerceptron, P>, int, int, int, long) - Constructor for class org.apache.ignite.ml.nn.MLPTrainer: Deprecated.

Constructs a new instance of multilayer perceptron trainer.
MLPTrainer(IgniteFunction<Dataset<EmptyContext, SimpleLabeledDatasetData>, MLPArchitecture>, IgniteFunction<Vector, IgniteDifferentiableVectorToDoubleFunction>, UpdatesStrategy<? super MultilayerPerceptron, P>, int, int, int, long) - Constructor for class org.apache.ignite.ml.nn.MLPTrainer: Deprecated.

Constructs a new instance of multilayer perceptron trainer.
MLSandboxDatasets - Enum in org.apache.ignite.ml.util: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
mnistAsList(String, String, Random, int) - Static method in class org.apache.ignite.ml.util.MnistUtils: Deprecated.

Read random count samples from MNIST dataset from two files (images and labels) into a stream of labeled vectors.
mnistAsListFromResource(String, String, Random, int) - Static method in class org.apache.ignite.ml.util.MnistUtils: Deprecated.

Read random count samples from MNIST dataset from two resources (images and labels) into a stream of labeled vectors.
mnistAsStream(String, String, Random, int) - Static method in class org.apache.ignite.ml.util.MnistUtils: Deprecated.

Read random count samples from MNIST dataset from two files (images and labels) into a stream of labeled vectors.
MnistImage(double[]) - Constructor for class org.apache.ignite.ml.util.MnistUtils.MnistImage: Deprecated.

Construct a new instance of MNIST image.
MnistLabeledImage(double[], int) - Constructor for class org.apache.ignite.ml.util.MnistUtils.MnistLabeledImage: Deprecated.

Constructs a new instance of MNIST labeled image.
MnistUtils - Class in org.apache.ignite.ml.util: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
MnistUtils() - Constructor for class org.apache.ignite.ml.util.MnistUtils: Deprecated.
MnistUtils.MnistImage - Class in org.apache.ignite.ml.util: Deprecated.

MNIST image.
MnistUtils.MnistLabeledImage - Class in org.apache.ignite.ml.util: Deprecated.

MNIST labeled image.
MOD - Static variable in class org.apache.ignite.ml.math.functions.Functions: Deprecated.

Function that returns a % b.
Model<I,O> - Interface in org.apache.ignite.ml.inference: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
MODEL_DESCRIPTOR_STORAGE_CACHE_NAME - Static variable in class org.apache.ignite.ml.inference.storage.descriptor.ModelDescriptorStorageFactory: Deprecated.

Model descriptor storage cache name.
MODEL_STORAGE_CACHE_NAME - Static variable in class org.apache.ignite.ml.inference.storage.model.ModelStorageFactory: Deprecated.

Model storage cache name.
ModelDescriptor - Class in org.apache.ignite.ml.inference: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
ModelDescriptor(String, String, ModelSignature, ModelReader, ModelParser<byte[], byte[], ?>) - Constructor for class org.apache.ignite.ml.inference.ModelDescriptor: Deprecated.

Constructs a new instance of model descriptor.
ModelDescriptorStorage - Interface in org.apache.ignite.ml.inference.storage.descriptor: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
ModelDescriptorStorageFactory - Class in org.apache.ignite.ml.inference.storage.descriptor: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
ModelDescriptorStorageFactory() - Constructor for class org.apache.ignite.ml.inference.storage.descriptor.ModelDescriptorStorageFactory: Deprecated.
ModelOnFeaturesSubspace - Class in org.apache.ignite.ml.composition: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
ModelParser<I,O,M extends Model<I,O>> - Interface in org.apache.ignite.ml.inference.parser: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
ModelReader - Interface in org.apache.ignite.ml.inference.reader: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
models() - Method in class org.apache.ignite.ml.composition.ModelsCompositionFormat: Deprecated.
ModelsComposition - Class in org.apache.ignite.ml.composition: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
ModelsComposition(List<? extends IgniteModel<Vector, Double>>, PredictionsAggregator) - Constructor for class org.apache.ignite.ml.composition.ModelsComposition: Deprecated.

Constructs a new instance of composition of models.
ModelsCompositionFormat - Class in org.apache.ignite.ml.composition: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
ModelsCompositionFormat(List<IgniteModel<Vector, Double>>, PredictionsAggregator) - Constructor for class org.apache.ignite.ml.composition.ModelsCompositionFormat: Deprecated.

Creates an instance of ModelsCompositionFormat.
ModelSignature - Class in org.apache.ignite.ml.inference: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
ModelSignature(String, String, String) - Constructor for class org.apache.ignite.ml.inference.ModelSignature: Deprecated.

Constructs a new instance of model signature.
ModelsParallelComposition<I,O> - Class in org.apache.ignite.ml.composition.combinators.parallel: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
ModelsParallelComposition(List<IgniteModel<I, O>>) - Constructor for class org.apache.ignite.ml.composition.combinators.parallel.ModelsParallelComposition: Deprecated.

Construc an instance of this class from list of submodels.
ModelsSequentialComposition<I,O1,O2> - Class in org.apache.ignite.ml.composition.combinators.sequential: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
ModelsSequentialComposition(IgniteModel<I, O1>, IgniteModel<O1, O2>) - Constructor for class org.apache.ignite.ml.composition.combinators.sequential.ModelsSequentialComposition: Deprecated.

Construct instance of this class from two given models.
ModelStorage - Interface in org.apache.ignite.ml.inference.storage.model: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
ModelStorageFactory - Class in org.apache.ignite.ml.inference.storage.model: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
ModelStorageFactory() - Constructor for class org.apache.ignite.ml.inference.storage.model.ModelStorageFactory: Deprecated.
ModelStorageModelReader - Class in org.apache.ignite.ml.inference.reader: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
ModelStorageModelReader(String, IgniteSupplier<ModelStorage>) - Constructor for class org.apache.ignite.ml.inference.reader.ModelStorageModelReader: Deprecated.

Constructs a new instance of model storage inference model builder.
ModelStorageModelReader(String) - Constructor for class org.apache.ignite.ml.inference.reader.ModelStorageModelReader: Deprecated.

Constructs a new instance of model storage inference model builder.
ModelStorageProvider - Interface in org.apache.ignite.ml.inference.storage.model: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
ModelStorateThinClientProcessor - Class in org.apache.ignite.ml.inference.storage.model.thinclient: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
ModelStorateThinClientProcessor(ModelStorage) - Constructor for class org.apache.ignite.ml.inference.storage.model.thinclient.ModelStorateThinClientProcessor: Deprecated.

Creates an instance of model storage commands processor.
ModelStorateThinClientProcessor.Method - Enum in org.apache.ignite.ml.inference.storage.model.thinclient: Deprecated.

Operations of model storage for GGFS client.
ModelTrace - Class in org.apache.ignite.ml.util: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
momentum - Variable in class org.apache.ignite.ml.optimization.updatecalculators.NesterovUpdateCalculator: Deprecated.

Momentum constant.
MostCommonDecisionTreeLeafBuilder - Class in org.apache.ignite.ml.tree.leaf: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
MostCommonDecisionTreeLeafBuilder() - Constructor for class org.apache.ignite.ml.tree.leaf.MostCommonDecisionTreeLeafBuilder: Deprecated.
move(Vector) - Method in interface org.apache.ignite.ml.util.generators.primitives.vector.VectorGenerator: Deprecated.

Moves all vectors to other position by summing with input vector.
MSE - Static variable in class org.apache.ignite.ml.optimization.LossFunctions: Deprecated.

Mean squared error loss function.
mse() - Method in class org.apache.ignite.ml.selection.scoring.metric.regression.RegressionMetricValues: Deprecated.

Returns mean squared error.
MSEHistogram - Class in org.apache.ignite.ml.tree.randomforest.data.impurity: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
MSEHistogram(int, BucketMeta) - Constructor for class org.apache.ignite.ml.tree.randomforest.data.impurity.MSEHistogram: Deprecated.

Creates an instance of MSEHistogram.
MSEHistogramComputer - Class in org.apache.ignite.ml.tree.randomforest.data.impurity: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
MSEHistogramComputer() - Constructor for class org.apache.ignite.ml.tree.randomforest.data.impurity.MSEHistogramComputer: Deprecated.
MSEImpurityMeasure - Class in org.apache.ignite.ml.tree.impurity.mse: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
MSEImpurityMeasure(double, double, long, double, double, long) - Constructor for class org.apache.ignite.ml.tree.impurity.mse.MSEImpurityMeasure: Deprecated.

Constructs a new instance of mean squared error (variance) impurity measure.
MSEImpurityMeasureCalculator - Class in org.apache.ignite.ml.tree.impurity.mse: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
MSEImpurityMeasureCalculator(boolean) - Constructor for class org.apache.ignite.ml.tree.impurity.mse.MSEImpurityMeasureCalculator: Deprecated.

Constructs an instance of MSEImpurityMeasureCalculator.
MULT - Static variable in class org.apache.ignite.ml.math.functions.Functions: Deprecated.

Function that returns a * b.
mult(double) - Static method in class org.apache.ignite.ml.math.functions.Functions: Deprecated.

Function that returns a * b.
MultiClassModel<M extends IgniteModel<Vector,Double>> - Class in org.apache.ignite.ml.multiclass: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
MultiClassModel() - Constructor for class org.apache.ignite.ml.multiclass.MultiClassModel: Deprecated.
MultiLabelDatasetTrainer<M extends IgniteModel> - Class in org.apache.ignite.ml.trainers: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
MultiLabelDatasetTrainer() - Constructor for class org.apache.ignite.ml.trainers.MultiLabelDatasetTrainer: Deprecated.
MultilayerPerceptron - Class in org.apache.ignite.ml.nn: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
MultilayerPerceptron(MLPArchitecture, MLPInitializer) - Constructor for class org.apache.ignite.ml.nn.MultilayerPerceptron: Deprecated.

Construct MLP from given architecture and parameters initializer.
MultilayerPerceptron(MLPArchitecture) - Constructor for class org.apache.ignite.ml.nn.MultilayerPerceptron: Deprecated.

Construct MLP from given architecture.
MultilayerPerceptron(MultilayerPerceptron, MultilayerPerceptron) - Constructor for class org.apache.ignite.ml.nn.MultilayerPerceptron: Deprecated.

Create MLP from two MLPs: first stacked on second.
MultivariateGaussianDistribution - Class in org.apache.ignite.ml.math.stat: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
MultivariateGaussianDistribution(Vector, Matrix) - Constructor for class org.apache.ignite.ml.math.stat.MultivariateGaussianDistribution: Deprecated.

Constructs an instance of MultivariateGaussianDistribution.
MutateJob - Class in org.apache.ignite.ml.genetic: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
MutateJob(Long, List<Long>, double) - Constructor for class org.apache.ignite.ml.genetic.MutateJob: Deprecated.
MutateTask - Class in org.apache.ignite.ml.genetic: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
MutateTask(GAConfiguration) - Constructor for class org.apache.ignite.ml.genetic.MutateTask: Deprecated.

N

name() - Method in class org.apache.ignite.ml.selection.scoring.metric.classification.Accuracy: Deprecated.

Returns the metric's name.
name() - Method in class org.apache.ignite.ml.selection.scoring.metric.classification.BinaryClassificationMetrics: Deprecated.

Returns the metric's name.
name() - Method in class org.apache.ignite.ml.selection.scoring.metric.classification.Fmeasure: Deprecated.

Returns the metric's name.
name() - Method in class org.apache.ignite.ml.selection.scoring.metric.classification.Precision: Deprecated.

Returns the metric's name.
name() - Method in class org.apache.ignite.ml.selection.scoring.metric.classification.Recall: Deprecated.

Returns the metric's name.
name() - Method in class org.apache.ignite.ml.selection.scoring.metric.classification.ROCAUC: Deprecated.

Returns the metric's name.
name() - Method in interface org.apache.ignite.ml.selection.scoring.metric.Metric: Deprecated.

Returns the metric's name.
name() - Method in class org.apache.ignite.ml.selection.scoring.metric.regression.RegressionMetrics: Deprecated.

Returns the metric's name.
name() - Method in class org.apache.ignite.ml.structures.FeatureMetadata: Deprecated.
name() - Method in class org.apache.ignite.ml.util.plugin.MLPluginProvider: Deprecated.
NamedVector - Interface in org.apache.ignite.ml.math.primitives.vector: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
NEGATE - Static variable in class org.apache.ignite.ml.math.functions.Functions: Deprecated.

Function that returns -a.
negativeClsLb() - Method in class org.apache.ignite.ml.selection.scoring.metric.classification.BinaryClassificationMetrics: Deprecated.
negativeClsLb() - Method in class org.apache.ignite.ml.selection.scoring.metric.classification.ROCAUC: Deprecated.

Get the negative label.
NesterovParameterUpdate - Class in org.apache.ignite.ml.optimization.updatecalculators: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
NesterovParameterUpdate(int) - Constructor for class org.apache.ignite.ml.optimization.updatecalculators.NesterovParameterUpdate: Deprecated.

Construct NesterovParameterUpdate.
NesterovParameterUpdate(Vector) - Constructor for class org.apache.ignite.ml.optimization.updatecalculators.NesterovParameterUpdate: Deprecated.

Construct NesterovParameterUpdate.
NesterovUpdateCalculator<M extends SmoothParametrized<M>> - Class in org.apache.ignite.ml.optimization.updatecalculators: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
NesterovUpdateCalculator(double, double) - Constructor for class org.apache.ignite.ml.optimization.updatecalculators.NesterovUpdateCalculator: Deprecated.

Construct NesterovUpdateCalculator.
neuronsCount() - Method in class org.apache.ignite.ml.nn.architecture.LayerArchitecture: Deprecated.

Get count of neurons in layer.
NewComponentStatisticsAggregator - Class in org.apache.ignite.ml.clustering.gmm: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
NewComponentStatisticsAggregator(long, long, Vector) - Constructor for class org.apache.ignite.ml.clustering.gmm.NewComponentStatisticsAggregator: Deprecated.

Creates an instance of NewComponentStatisticsAggregator.
NewComponentStatisticsAggregator() - Constructor for class org.apache.ignite.ml.clustering.gmm.NewComponentStatisticsAggregator: Deprecated.

Creates an instance of NewComponentStatisticsAggregator.
newInstance() - Method in class org.apache.ignite.ml.dataset.feature.ObjectHistogram: Deprecated.

Creates an instance of ObjectHistogram from child class.
newInstance() - Method in class org.apache.ignite.ml.tree.randomforest.data.impurity.basic.CountersHistogram: Deprecated.

Creates an instance of ObjectHistogram from child class.
next() - Method in class org.apache.ignite.ml.dataset.impl.cache.util.IteratorWithConcurrentModificationChecker: Deprecated.
NNClassificationModel - Class in org.apache.ignite.ml.knn: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
NNClassificationModel() - Constructor for class org.apache.ignite.ml.knn.NNClassificationModel: Deprecated.
NO_PARALLELISM - Static variable in interface org.apache.ignite.ml.environment.parallelism.ParallelismStrategy: Deprecated.

No parallelism.
NoDataException - Exception in org.apache.ignite.ml.math.exceptions: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
NoDataException() - Constructor for exception org.apache.ignite.ml.math.exceptions.NoDataException: Deprecated.

Construct the exception.
NoDataException(String) - Constructor for exception org.apache.ignite.ml.math.exceptions.NoDataException: Deprecated.

Construct the exception with a specific message.
NodeId - Class in org.apache.ignite.ml.tree.randomforest.data: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
NodeId(int, long) - Constructor for class org.apache.ignite.ml.tree.randomforest.data.NodeId: Deprecated.

Create an instance of NodeId.
nodeId() - Method in class org.apache.ignite.ml.tree.randomforest.data.NodeId: Deprecated.
NodeImpurityHistograms(NodeId) - Constructor for class org.apache.ignite.ml.tree.randomforest.data.impurity.ImpurityHistogramsComputer.NodeImpurityHistograms: Deprecated.

Create an instance of NodeImpurityHistograms.
NodeSplit - Class in org.apache.ignite.ml.tree.randomforest.data: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
NodeSplit(int, double, double, double) - Constructor for class org.apache.ignite.ml.tree.randomforest.data.NodeSplit: Deprecated.

Creates an instance of NodeSplit.
noisify(RandomProducer) - Method in interface org.apache.ignite.ml.util.generators.primitives.vector.VectorGenerator: Deprecated.

Adds noize to all components of generated vectors.
noizify(IgniteFunction<Double, Double>) - Method in interface org.apache.ignite.ml.util.generators.primitives.scalar.RandomProducer: Deprecated.

Adds value generated by random producer to function value.
noizify(Vector) - Method in interface org.apache.ignite.ml.util.generators.primitives.scalar.RandomProducer: Deprecated.

Adds values generated by random producer to each vector value.
NoLabelVectorException - Exception in org.apache.ignite.ml.math.exceptions.knn: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
NoLabelVectorException(int) - Constructor for exception org.apache.ignite.ml.math.exceptions.knn.NoLabelVectorException: Deprecated.

Creates new exception.
NonSquareMatrixException - Exception in org.apache.ignite.ml.math.exceptions: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
NonSquareMatrixException(int, int) - Constructor for exception org.apache.ignite.ml.math.exceptions.NonSquareMatrixException: Deprecated.

Creates new square size violation exception.
nonZeroElements() - Method in class org.apache.ignite.ml.math.primitives.matrix.AbstractMatrix: Deprecated.

Gets number of non-zero elements in this matrix.
nonZeroElements() - Method in class org.apache.ignite.ml.math.primitives.matrix.impl.SparseMatrix: Deprecated.

Gets number of non-zero elements in this matrix.
nonZeroElements() - Method in interface org.apache.ignite.ml.math.primitives.matrix.Matrix: Deprecated.

Gets number of non-zero elements in this matrix.
nonZeroElements() - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.

Gets number of non-zero elements in this vector.
nonZeroElements() - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingVector: Deprecated.

Gets number of non-zero elements in this vector.
nonZeroElements() - Method in interface org.apache.ignite.ml.math.primitives.vector.Vector: Deprecated.

Gets number of non-zero elements in this vector.
nonZeroes() - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.

Iterates ove all non-zero elements in this vector.
nonZeroes() - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingVector: Deprecated.

Iterates ove all non-zero elements in this vector.
nonZeroes() - Method in interface org.apache.ignite.ml.math.primitives.vector.Vector: Deprecated.

Iterates ove all non-zero elements in this vector.
nonZeroSpliterator() - Method in class org.apache.ignite.ml.math.primitives.matrix.AbstractMatrix: Deprecated.

Gets spliterator for all non-zero values in this matrix.
nonZeroSpliterator() - Method in interface org.apache.ignite.ml.math.primitives.matrix.Matrix: Deprecated.

Gets spliterator for all non-zero values in this matrix.
nonZeroSpliterator() - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.

Gets spliterator for all non-zero values in this vector.
nonZeroSpliterator() - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingVector: Deprecated.

Gets spliterator for all non-zero values in this vector.
nonZeroSpliterator() - Method in class org.apache.ignite.ml.math.primitives.vector.impl.SparseVector: Deprecated.

Gets spliterator for all non-zero values in this vector.
nonZeroSpliterator() - Method in interface org.apache.ignite.ml.math.primitives.vector.Vector: Deprecated.

Gets spliterator for all non-zero values in this vector.
NoOpLogger - Class in org.apache.ignite.ml.environment.logging: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
NoOpLogger() - Constructor for class org.apache.ignite.ml.environment.logging.NoOpLogger: Deprecated.
NoParallelismStrategy - Class in org.apache.ignite.ml.environment.parallelism: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
NoParallelismStrategy.Stub<T> - Class in org.apache.ignite.ml.environment.parallelism: Deprecated.

Stub for Future interface implementation.
NormalDistributionStatistics - Class in org.apache.ignite.ml.tree.randomforest.data.statistics: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
NormalDistributionStatistics(double, double, double, double, long) - Constructor for class org.apache.ignite.ml.tree.randomforest.data.statistics.NormalDistributionStatistics: Deprecated.

Creates an instance of NormalDistributionStatistics.
NormalDistributionStatisticsComputer - Class in org.apache.ignite.ml.tree.randomforest.data.statistics: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
NormalDistributionStatisticsComputer() - Constructor for class org.apache.ignite.ml.tree.randomforest.data.statistics.NormalDistributionStatisticsComputer: Deprecated.
NormalizationPreprocessor<K,V> - Class in org.apache.ignite.ml.preprocessing.normalization: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
NormalizationPreprocessor(int, Preprocessor<K, V>) - Constructor for class org.apache.ignite.ml.preprocessing.normalization.NormalizationPreprocessor: Deprecated.

Constructs a new instance of Normalization preprocessor.
NormalizationTrainer<K,V> - Class in org.apache.ignite.ml.preprocessing.normalization: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
NormalizationTrainer() - Constructor for class org.apache.ignite.ml.preprocessing.normalization.NormalizationTrainer: Deprecated.
normalize() - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.

Creates new vector containing the normalized (L_2 norm) values of this vector.
normalize(double) - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.

Creates new vector containing the normalized (L_power norm) values of this vector.
normalize() - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingVector: Deprecated.

Creates new vector containing the normalized (L_2 norm) values of this vector.
normalize(double) - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingVector: Deprecated.

Creates new vector containing the normalized (L_power norm) values of this vector.
normalize() - Method in interface org.apache.ignite.ml.math.primitives.vector.Vector: Deprecated.

Creates new vector containing the normalized (L_2 norm) values of this vector.
normalize(double) - Method in interface org.apache.ignite.ml.math.primitives.vector.Vector: Deprecated.

Creates new vector containing the normalized (L_power norm) values of this vector.
npv() - Method in class org.apache.ignite.ml.selection.scoring.metric.classification.BinaryClassificationMetricValues: Deprecated.

Returns Negative Predictive Value (NPV).
num2Arr(double) - Static method in class org.apache.ignite.ml.math.primitives.vector.VectorUtils: Deprecated.

Turn number to 1-sized array.
num2Vec(double) - Static method in class org.apache.ignite.ml.math.primitives.vector.VectorUtils: Deprecated.

Wrap specified value into vector.

O

ObjectHistogram<T> - Class in org.apache.ignite.ml.dataset.feature: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
ObjectHistogram() - Constructor for class org.apache.ignite.ml.dataset.feature.ObjectHistogram: Deprecated.
ObjectSubjectPair<O extends Serializable,S extends Serializable> - Class in org.apache.ignite.ml.recommendation: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
ObjectSubjectPair(O, S) - Constructor for class org.apache.ignite.ml.recommendation.ObjectSubjectPair: Deprecated.

Constructs a new instance of object-subject pair.
ObjectSubjectRatingTriplet<O extends Serializable,S extends Serializable> - Class in org.apache.ignite.ml.recommendation: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
ObjectSubjectRatingTriplet(O, S, Double) - Constructor for class org.apache.ignite.ml.recommendation.ObjectSubjectRatingTriplet: Deprecated.

Constructs a new instance of object-subject-rating triplet.
of(List<T>) - Static method in class org.apache.ignite.ml.composition.combinators.parallel.TrainersParallelComposition: Deprecated.

Create parallel composition of trainers contained in a given list.
of(double...) - Static method in class org.apache.ignite.ml.math.primitives.vector.VectorUtils: Deprecated.

Creates dense local on heap vector based on array of doubles.
of(Double[]) - Static method in class org.apache.ignite.ml.math.primitives.vector.VectorUtils: Deprecated.

Creates vector based on array of Doubles.
of(Map<String, Double>) - Static method in class org.apache.ignite.ml.math.primitives.vector.VectorUtils: Deprecated.

Creates named vector based on map of keys and values.
of(DatasetTrainer<M, L>) - Static method in class org.apache.ignite.ml.trainers.AdaptableDatasetTrainer: Deprecated.

Construct instance of this class from a given DatasetTrainer.
OFF - Static variable in class org.apache.ignite.ml.environment.logging.ConsoleLogger.Factory: Deprecated.

Offset.
offset() - Method in class org.apache.ignite.ml.math.primitives.vector.storage.VectorViewStorage: Deprecated.
ofSame(List<? extends IgniteModel<I, O>>, IgniteFunction<O, I>) - Static method in class org.apache.ignite.ml.composition.combinators.sequential.ModelsSequentialComposition: Deprecated.

Get sequential composition of submodels with same type.
ofSame(DatasetTrainer<? extends IgniteModel<I, O>, L>, IgniteBiFunction<Integer, ? super IgniteModel<I, O>, IgniteFunction<LabeledVector<L>, LabeledVector<L>>>, IgniteBiPredicate<Integer, IgniteModel<I, O>>, IgniteFunction<O, I>) - Static method in class org.apache.ignite.ml.composition.combinators.sequential.TrainersSequentialComposition: Deprecated.

Construct sequential composition of same trainers.
ON_DEFAULT_POOL - Static variable in interface org.apache.ignite.ml.environment.parallelism.ParallelismStrategy: Deprecated.

On default pool.
ONE_THIRD - Static variable in class org.apache.ignite.ml.tree.randomforest.data.FeaturesCountSelectionStrategies: Deprecated.
oneHot(int, int) - Static method in class org.apache.ignite.ml.math.primitives.vector.VectorUtils: Deprecated.

Turn number into a local Vector of given size with one-hot encoding.
oneHot(int, int, boolean) - Static method in class org.apache.ignite.ml.math.primitives.vector.VectorUtils: Deprecated.

Turn number into Vector of given size with one-hot encoding.
OneHotEncoderPreprocessor<K,V> - Class in org.apache.ignite.ml.preprocessing.encoding.onehotencoder: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
OneHotEncoderPreprocessor(Map<String, Integer>[], Preprocessor<K, V>, Set<Integer>) - Constructor for class org.apache.ignite.ml.preprocessing.encoding.onehotencoder.OneHotEncoderPreprocessor: Deprecated.

Constructs a new instance of One Hot Encoder preprocessor.
OneVsRestTrainer<M extends IgniteModel<Vector,Double>> - Class in org.apache.ignite.ml.multiclass: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
OneVsRestTrainer(SingleLabelDatasetTrainer<M>) - Constructor for class org.apache.ignite.ml.multiclass.OneVsRestTrainer: Deprecated.
onIgniteStart() - Method in class org.apache.ignite.ml.util.plugin.MLPluginProvider: Deprecated.
onIgniteStop(boolean) - Method in class org.apache.ignite.ml.util.plugin.MLPluginProvider: Deprecated.
OnMajorityPredictionsAggregator - Class in org.apache.ignite.ml.composition.predictionsaggregator: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
OnMajorityPredictionsAggregator() - Constructor for class org.apache.ignite.ml.composition.predictionsaggregator.OnMajorityPredictionsAggregator: Deprecated.
OrderedMatrix - Interface in org.apache.ignite.ml.math.primitives.matrix: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
org.apache.ignite.ml - package org.apache.ignite.ml: Root ML package.
org.apache.ignite.ml.clustering - package org.apache.ignite.ml.clustering: Contains clustering algorithms.
org.apache.ignite.ml.clustering.gmm - package org.apache.ignite.ml.clustering.gmm: Contains Gauss Mixture Model clustering algorithm (see GmmModel).
org.apache.ignite.ml.clustering.kmeans - package org.apache.ignite.ml.clustering.kmeans: Contains kMeans clustering algorithm.
org.apache.ignite.ml.composition - package org.apache.ignite.ml.composition: Contains classes for ensemble of models implementation.
org.apache.ignite.ml.composition.bagging - package org.apache.ignite.ml.composition.bagging: Contains bootstrap aggregation (bagging) trainer allowing to combine some other trainers and return a bagged version of them.
org.apache.ignite.ml.composition.boosting - package org.apache.ignite.ml.composition.boosting: Contains Gradient Boosting regression and classification abstract classes allowing regressor type selecting in child classes.
org.apache.ignite.ml.composition.boosting.convergence - package org.apache.ignite.ml.composition.boosting.convergence: Package contains implementation of convergency checking algorithms for gradient boosting.
org.apache.ignite.ml.composition.boosting.convergence.mean - package org.apache.ignite.ml.composition.boosting.convergence.mean: Contains implementation of convergence checking computer by mean of absolute value of errors in dataset.
org.apache.ignite.ml.composition.boosting.convergence.median - package org.apache.ignite.ml.composition.boosting.convergence.median: Contains implementation of convergence checking computer by median of medians of errors in dataset.
org.apache.ignite.ml.composition.boosting.convergence.simple - package org.apache.ignite.ml.composition.boosting.convergence.simple: Contains implementation of Stub for convergence checking.
org.apache.ignite.ml.composition.boosting.loss - package org.apache.ignite.ml.composition.boosting.loss: Contains loss functions for Gradient Boosting algorithms.
org.apache.ignite.ml.composition.combinators - package org.apache.ignite.ml.composition.combinators: Contains various combinators of trainers and models.
org.apache.ignite.ml.composition.combinators.parallel - package org.apache.ignite.ml.composition.combinators.parallel: Contains parallel combinators of trainers and models.
org.apache.ignite.ml.composition.combinators.sequential - package org.apache.ignite.ml.composition.combinators.sequential: Contains sequential combinators of trainers and models.
org.apache.ignite.ml.composition.predictionsaggregator - package org.apache.ignite.ml.composition.predictionsaggregator: Contains classes for several predictions aggregation strategies working with predictions vector from models ensemble.
org.apache.ignite.ml.composition.stacking - package org.apache.ignite.ml.composition.stacking: Contains classes used for training with stacking technique.
org.apache.ignite.ml.dataset - package org.apache.ignite.ml.dataset: Base package for machine learning dataset classes.
org.apache.ignite.ml.dataset.feature - package org.apache.ignite.ml.dataset.feature: Package for helper classes over features such as ObjectHistogram or FeatureMeta.
org.apache.ignite.ml.dataset.feature.extractor - package org.apache.ignite.ml.dataset.feature.extractor: Package for upstream object vectorizations.
org.apache.ignite.ml.dataset.feature.extractor.impl - package org.apache.ignite.ml.dataset.feature.extractor.impl: Package contains default implementations of Vectorizer.
org.apache.ignite.ml.dataset.impl - package org.apache.ignite.ml.dataset.impl: Base package for implementations of machine learning dataset.
org.apache.ignite.ml.dataset.impl.bootstrapping - package org.apache.ignite.ml.dataset.impl.bootstrapping: Base package for bootstrapped implementation of machine learning dataset.
org.apache.ignite.ml.dataset.impl.cache - package org.apache.ignite.ml.dataset.impl.cache: Base package for cache based implementation of machine learning dataset.
org.apache.ignite.ml.dataset.impl.cache.util - package org.apache.ignite.ml.dataset.impl.cache.util: Contains util classes used in cache based implementation of dataset.
org.apache.ignite.ml.dataset.impl.local - package org.apache.ignite.ml.dataset.impl.local: Base package for local implementation of machine learning dataset.
org.apache.ignite.ml.dataset.primitive - package org.apache.ignite.ml.dataset.primitive: Package that contains basic primitives build on top of Dataset.
org.apache.ignite.ml.dataset.primitive.builder - package org.apache.ignite.ml.dataset.primitive.builder: Base package for partition data and context builders.
org.apache.ignite.ml.dataset.primitive.builder.context - package org.apache.ignite.ml.dataset.primitive.builder.context: Contains partition context builders.
org.apache.ignite.ml.dataset.primitive.builder.data - package org.apache.ignite.ml.dataset.primitive.builder.data: Contains partition data builders.
org.apache.ignite.ml.dataset.primitive.context - package org.apache.ignite.ml.dataset.primitive.context: Contains implementation of partition context.
org.apache.ignite.ml.dataset.primitive.data - package org.apache.ignite.ml.dataset.primitive.data: Contains implementation of partition data.
org.apache.ignite.ml.environment - package org.apache.ignite.ml.environment: Package contains environment utils for ML algorithms.
org.apache.ignite.ml.environment.deploy - package org.apache.ignite.ml.environment.deploy: Package contains user-defined classes deploy support tools.
org.apache.ignite.ml.environment.logging - package org.apache.ignite.ml.environment.logging: Package contains several logging strategy realisations.
org.apache.ignite.ml.environment.parallelism - package org.apache.ignite.ml.environment.parallelism: Package contains realisations of parallelism strategies for multi-thread algorithms.
org.apache.ignite.ml.genetic - package org.apache.ignite.ml.genetic: Root GA package (GA Grid)
org.apache.ignite.ml.genetic.cache - package org.apache.ignite.ml.genetic.cache: Contains cache configurations for GA Grid
org.apache.ignite.ml.genetic.functions - package org.apache.ignite.ml.genetic.functions: Contains functions used for GA Grid
org.apache.ignite.ml.genetic.parameter - package org.apache.ignite.ml.genetic.parameter: Contains parameters used for GA Grid
org.apache.ignite.ml.genetic.utils - package org.apache.ignite.ml.genetic.utils: Contains utils for GA Grid
org.apache.ignite.ml.inference - package org.apache.ignite.ml.inference: Root package for model inference functionality.
org.apache.ignite.ml.inference.builder - package org.apache.ignite.ml.inference.builder: Root package for model inference builders.
org.apache.ignite.ml.inference.parser - package org.apache.ignite.ml.inference.parser: Root package for model inference parsers.
org.apache.ignite.ml.inference.reader - package org.apache.ignite.ml.inference.reader: Root package for model inference readers.
org.apache.ignite.ml.inference.storage - package org.apache.ignite.ml.inference.storage: Root package for inference model storages.
org.apache.ignite.ml.inference.storage.descriptor - package org.apache.ignite.ml.inference.storage.descriptor: Root package for inference model descriptor storages.
org.apache.ignite.ml.inference.storage.model - package org.apache.ignite.ml.inference.storage.model: Root package for inference model storages.
org.apache.ignite.ml.inference.storage.model.thinclient - package org.apache.ignite.ml.inference.storage.model.thinclient: Package contains classes for thin client operations with model storage.
org.apache.ignite.ml.inference.util - package org.apache.ignite.ml.inference.util: Root package for util classes used in org.apache.ignite.ml.inference package.
org.apache.ignite.ml.knn - package org.apache.ignite.ml.knn: Contains main APIs for kNN algorithms.
org.apache.ignite.ml.knn.ann - package org.apache.ignite.ml.knn.ann: Contains main APIs for ANN classification algorithms.
org.apache.ignite.ml.knn.classification - package org.apache.ignite.ml.knn.classification: Contains main APIs for kNN classification algorithms.
org.apache.ignite.ml.knn.regression - package org.apache.ignite.ml.knn.regression: Contains helper classes for kNN regression algorithms.
org.apache.ignite.ml.knn.utils - package org.apache.ignite.ml.knn.utils: Contains util functionality for kNN algorithms.
org.apache.ignite.ml.knn.utils.indices - package org.apache.ignite.ml.knn.utils.indices: Contains utils functionality for indices in kNN algorithms.
org.apache.ignite.ml.math - package org.apache.ignite.ml.math: Contains main APIs for matrix/vector algebra.
org.apache.ignite.ml.math.distances - package org.apache.ignite.ml.math.distances: Contains main APIs for distances.
org.apache.ignite.ml.math.exceptions - package org.apache.ignite.ml.math.exceptions: Contains exceptions for distributed code algebra.
org.apache.ignite.ml.math.exceptions.knn - package org.apache.ignite.ml.math.exceptions.knn: Contains exceptions for kNN algorithms.
org.apache.ignite.ml.math.exceptions.preprocessing - package org.apache.ignite.ml.math.exceptions.preprocessing: Contains exceptions for preprocessing.
org.apache.ignite.ml.math.functions - package org.apache.ignite.ml.math.functions: Contains serializable functions for distributed code algebra.
org.apache.ignite.ml.math.isolve - package org.apache.ignite.ml.math.isolve: Contains iterative algorithms for solving linear systems.
org.apache.ignite.ml.math.isolve.lsqr - package org.apache.ignite.ml.math.isolve.lsqr: Contains LSQR algorithm implementation.
org.apache.ignite.ml.math.primitives - package org.apache.ignite.ml.math.primitives: Contains classes for vector/matrix algebra.
org.apache.ignite.ml.math.primitives.matrix - package org.apache.ignite.ml.math.primitives.matrix: Contains matrix related classes.
org.apache.ignite.ml.math.primitives.matrix.impl - package org.apache.ignite.ml.math.primitives.matrix.impl: Contains several matrix implementations.
org.apache.ignite.ml.math.primitives.matrix.storage - package org.apache.ignite.ml.math.primitives.matrix.storage: Contains several matrix storages.
org.apache.ignite.ml.math.primitives.vector - package org.apache.ignite.ml.math.primitives.vector: Contains vector related classes.
org.apache.ignite.ml.math.primitives.vector.impl - package org.apache.ignite.ml.math.primitives.vector.impl: Contains several vector implementations.
org.apache.ignite.ml.math.primitives.vector.storage - package org.apache.ignite.ml.math.primitives.vector.storage: Contains several vector storages.
org.apache.ignite.ml.math.stat - package org.apache.ignite.ml.math.stat: Contains utility classes for distributions.
org.apache.ignite.ml.math.util - package org.apache.ignite.ml.math.util: Some math utils.
org.apache.ignite.ml.multiclass - package org.apache.ignite.ml.multiclass: Contains various multi-classifier models and trainers.
org.apache.ignite.ml.naivebayes - package org.apache.ignite.ml.naivebayes: Contains various naive Bayes classifiers.
org.apache.ignite.ml.naivebayes.discrete - package org.apache.ignite.ml.naivebayes.discrete: Contains Bernoulli naive Bayes classifier.
org.apache.ignite.ml.naivebayes.gaussian - package org.apache.ignite.ml.naivebayes.gaussian: Contains Gaussian naive Bayes classifier.
org.apache.ignite.ml.nn - package org.apache.ignite.ml.nn: Contains neural networks and related classes.
org.apache.ignite.ml.nn.architecture - package org.apache.ignite.ml.nn.architecture: Contains multilayer perceptron architecture classes.
org.apache.ignite.ml.nn.initializers - package org.apache.ignite.ml.nn.initializers: Contains multilayer perceptron parameters initializers.
org.apache.ignite.ml.optimization - package org.apache.ignite.ml.optimization: Contains implementations of optimization algorithms and related classes.
org.apache.ignite.ml.optimization.updatecalculators - package org.apache.ignite.ml.optimization.updatecalculators: Contains update calculators.
org.apache.ignite.ml.pipeline - package org.apache.ignite.ml.pipeline: Contains Pipeline API.
org.apache.ignite.ml.preprocessing - package org.apache.ignite.ml.preprocessing: Base package for machine learning preprocessing classes.
org.apache.ignite.ml.preprocessing.binarization - package org.apache.ignite.ml.preprocessing.binarization: Contains binarization preprocessor.
org.apache.ignite.ml.preprocessing.developer - package org.apache.ignite.ml.preprocessing.developer: Contains Developer API preprocessors.
org.apache.ignite.ml.preprocessing.encoding - package org.apache.ignite.ml.preprocessing.encoding: Contains encoding preprocessors.
org.apache.ignite.ml.preprocessing.encoding.onehotencoder - package org.apache.ignite.ml.preprocessing.encoding.onehotencoder: Contains one hot encoding preprocessor.
org.apache.ignite.ml.preprocessing.encoding.stringencoder - package org.apache.ignite.ml.preprocessing.encoding.stringencoder: Contains string encoding preprocessor.
org.apache.ignite.ml.preprocessing.imputing - package org.apache.ignite.ml.preprocessing.imputing: Contains Imputer preprocessor.
org.apache.ignite.ml.preprocessing.maxabsscaling - package org.apache.ignite.ml.preprocessing.maxabsscaling: Contains Max Abs Scaler preprocessor.
org.apache.ignite.ml.preprocessing.minmaxscaling - package org.apache.ignite.ml.preprocessing.minmaxscaling: Contains Min Max Scaler preprocessor.
org.apache.ignite.ml.preprocessing.normalization - package org.apache.ignite.ml.preprocessing.normalization: Contains Normalizer preprocessor.
org.apache.ignite.ml.preprocessing.standardscaling - package org.apache.ignite.ml.preprocessing.standardscaling: Contains Standard scaler preprocessor.
org.apache.ignite.ml.recommendation - package org.apache.ignite.ml.recommendation: Contains recommendation system framework.
org.apache.ignite.ml.recommendation.util - package org.apache.ignite.ml.recommendation.util: Contains util classes used in recommendation system framework.
org.apache.ignite.ml.regressions - package org.apache.ignite.ml.regressions: Contains various regressions.
org.apache.ignite.ml.regressions.linear - package org.apache.ignite.ml.regressions.linear: Contains various linear regressions.
org.apache.ignite.ml.regressions.logistic - package org.apache.ignite.ml.regressions.logistic: Contains various logistic regressions.
org.apache.ignite.ml.selection - package org.apache.ignite.ml.selection: Root package for dataset splitters, cross validation and search through parameters.
org.apache.ignite.ml.selection.cv - package org.apache.ignite.ml.selection.cv: Root package for cross-validation algorithms.
org.apache.ignite.ml.selection.paramgrid - package org.apache.ignite.ml.selection.paramgrid: Root package for parameter grid.
org.apache.ignite.ml.selection.scoring - package org.apache.ignite.ml.selection.scoring: Root package for score calculators.
org.apache.ignite.ml.selection.scoring.cursor - package org.apache.ignite.ml.selection.scoring.cursor: Util classes used for score calculation.
org.apache.ignite.ml.selection.scoring.evaluator - package org.apache.ignite.ml.selection.scoring.evaluator: Package for model evaluator classes.
org.apache.ignite.ml.selection.scoring.metric - package org.apache.ignite.ml.selection.scoring.metric: Root package for metrics.
org.apache.ignite.ml.selection.scoring.metric.classification - package org.apache.ignite.ml.selection.scoring.metric.classification: Root package for classification metrics.
org.apache.ignite.ml.selection.scoring.metric.exceptions - package org.apache.ignite.ml.selection.scoring.metric.exceptions: Root package for exceptions.
org.apache.ignite.ml.selection.scoring.metric.regression - package org.apache.ignite.ml.selection.scoring.metric.regression: Root package for regression metrics.
org.apache.ignite.ml.selection.split - package org.apache.ignite.ml.selection.split: Root package for dataset splitters and cross validation.
org.apache.ignite.ml.selection.split.mapper - package org.apache.ignite.ml.selection.split.mapper: Root package for mappers used in dataset splitters.
org.apache.ignite.ml.sql - package org.apache.ignite.ml.sql: Contains util classes that help to work with machine learning models in SQL and train models on data from SQL tables.
org.apache.ignite.ml.structures - package org.apache.ignite.ml.structures: Contains some internal utility structures.
org.apache.ignite.ml.structures.partition - package org.apache.ignite.ml.structures.partition: Contains internal APIs for dataset partitioned labeled datasets.
org.apache.ignite.ml.structures.preprocessing - package org.apache.ignite.ml.structures.preprocessing: Contains internal APIs for dataset pre-processing.
org.apache.ignite.ml.svm - package org.apache.ignite.ml.svm: Contains main APIs for SVM(support vector machines) algorithms.
org.apache.ignite.ml.trainers - package org.apache.ignite.ml.trainers: Contains model trainers.
org.apache.ignite.ml.trainers.transformers - package org.apache.ignite.ml.trainers.transformers: Various upstream transformers.
org.apache.ignite.ml.tree - package org.apache.ignite.ml.tree: Root package for decision trees.
org.apache.ignite.ml.tree.boosting - package org.apache.ignite.ml.tree.boosting: Contains implementation of gradient boosting on trees.
org.apache.ignite.ml.tree.data - package org.apache.ignite.ml.tree.data: Contains data and data builder required for decision tree trainers built on top of partition based dataset.
org.apache.ignite.ml.tree.impurity - package org.apache.ignite.ml.tree.impurity: Root package for decision tree impurity measures and calculators.
org.apache.ignite.ml.tree.impurity.gini - package org.apache.ignite.ml.tree.impurity.gini: Contains Gini impurity measure and calculator.
org.apache.ignite.ml.tree.impurity.mse - package org.apache.ignite.ml.tree.impurity.mse: Contains mean squared error impurity measure and calculator.
org.apache.ignite.ml.tree.impurity.util - package org.apache.ignite.ml.tree.impurity.util: Contains util classes used in decision tree impurity calculators.
org.apache.ignite.ml.tree.leaf - package org.apache.ignite.ml.tree.leaf: Root package for decision trees leaf builders.
org.apache.ignite.ml.tree.randomforest - package org.apache.ignite.ml.tree.randomforest: Contains random forest implementation classes.
org.apache.ignite.ml.tree.randomforest.data - package org.apache.ignite.ml.tree.randomforest.data: Package contains helper data structures for random forest implementation.
org.apache.ignite.ml.tree.randomforest.data.impurity - package org.apache.ignite.ml.tree.randomforest.data.impurity: Contains implementation of impurity computers based on histograms.
org.apache.ignite.ml.tree.randomforest.data.impurity.basic - package org.apache.ignite.ml.tree.randomforest.data.impurity.basic: Contains implementation of basic classes for impurity computers.
org.apache.ignite.ml.tree.randomforest.data.statistics - package org.apache.ignite.ml.tree.randomforest.data.statistics: Contains implementation of statistics computers for Random Forest.
org.apache.ignite.ml.util - package org.apache.ignite.ml.util: Contains some utils for ML module.
org.apache.ignite.ml.util.generators - package org.apache.ignite.ml.util.generators: Contains utility classes for data streams generation.
org.apache.ignite.ml.util.generators.primitives - package org.apache.ignite.ml.util.generators.primitives: Contains primitives like random scalars and random vector generators for composing own data stream generator.
org.apache.ignite.ml.util.generators.primitives.scalar - package org.apache.ignite.ml.util.generators.primitives.scalar: Contains generators of pseudo-random scalars in according to specific disctribution.
org.apache.ignite.ml.util.generators.primitives.vector - package org.apache.ignite.ml.util.generators.primitives.vector: Contains generators of pseudo-random vectors in according to specific disctribution.
org.apache.ignite.ml.util.generators.standard - package org.apache.ignite.ml.util.generators.standard: Contains classes for predefined data stream generators.
org.apache.ignite.ml.util.genetic - package org.apache.ignite.ml.util.genetic: Contains some genetic algorithms for discrete optimization task in ML module locally.
org.apache.ignite.ml.util.plugin - package org.apache.ignite.ml.util.plugin: Contains Ignite plugins system integration classes.
original - Variable in class org.apache.ignite.ml.preprocessing.developer.MappedPreprocessor: Deprecated.

Original preprocessor.
outputSize() - Method in class org.apache.ignite.ml.nn.architecture.MLPArchitecture: Deprecated.

Size of output of MLP.
outputSupplier(IgniteFunction<A, B>) - Static method in class org.apache.ignite.ml.math.functions.Functions: Deprecated.

Transform function of form a -> b into a -> (() -> b).
outputSupplier(IgniteBiFunction<A, B, C>) - Static method in class org.apache.ignite.ml.math.functions.Functions: Deprecated.

Transform function of form (a, b) -> c into (a, b) - () -> c.

P

p() - Method in class org.apache.ignite.ml.preprocessing.normalization.NormalizationPreprocessor: Deprecated.

Gets the degree of L^p space parameter value.
p() - Method in class org.apache.ignite.ml.preprocessing.normalization.NormalizationTrainer: Deprecated.

Gets the degree of L space parameter value.
parallelismStrategy() - Method in interface org.apache.ignite.ml.environment.LearningEnvironment: Deprecated.

Returns Parallelism Strategy instance.
ParallelismStrategy - Interface in org.apache.ignite.ml.environment.parallelism: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
ParallelismStrategy.Type - Enum in org.apache.ignite.ml.environment.parallelism: Deprecated.

The type of parallelism.
parallelogram(Vector) - Static method in class org.apache.ignite.ml.util.generators.primitives.vector.VectorGeneratorPrimitives: Deprecated.

Returns vector generator of vectors from multidimension uniform distribution around zero.
parallelogram(Vector, long) - Static method in class org.apache.ignite.ml.util.generators.primitives.vector.VectorGeneratorPrimitives: Deprecated.

Returns vector generator of vectors from multidimension uniform distribution around zero.
parameters() - Method in class org.apache.ignite.ml.nn.MultilayerPerceptron: Deprecated.

Get parameters vector.
parametersCount() - Method in class org.apache.ignite.ml.nn.architecture.MLPArchitecture: Deprecated.

Count of parameters in this MLP architecture.
parametersCount() - Method in class org.apache.ignite.ml.nn.MultilayerPerceptron: Deprecated.

Get count of parameters of this model.
ParameterSetGenerator - Class in org.apache.ignite.ml.selection.paramgrid: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
ParameterSetGenerator(Map<Integer, Double[]>) - Constructor for class org.apache.ignite.ml.selection.paramgrid.ParameterSetGenerator: Deprecated.

Creates an instance of the generator.
ParameterUpdateCalculator<M,P extends Serializable> - Interface in org.apache.ignite.ml.optimization.updatecalculators: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
ParametricVectorGenerator - Class in org.apache.ignite.ml.util.generators.primitives.vector: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
ParametricVectorGenerator(RandomProducer, IgniteFunction<Double, Double>...) - Constructor for class org.apache.ignite.ml.util.generators.primitives.vector.ParametricVectorGenerator: Deprecated.

Create an intance of ParametricVectorGenerator.
Parametrized<M extends Parametrized<M>> - Interface in org.apache.ignite.ml.optimization: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
paramGrid - Variable in class org.apache.ignite.ml.selection.cv.AbstractCrossValidation: Deprecated.

Parameter grid.
ParamGrid - Class in org.apache.ignite.ml.selection.paramgrid: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
ParamGrid() - Constructor for class org.apache.ignite.ml.selection.paramgrid.ParamGrid: Deprecated.
paramsAsVector(List<MLPLayer>) - Method in class org.apache.ignite.ml.nn.MultilayerPerceptron: Deprecated.

Flatten this MLP parameters as vector.
parse(byte[]) - Method in class org.apache.ignite.ml.inference.parser.IgniteModelParser: Deprecated.

Accepts serialized model represented by byte array, parses it and returns Model.
parse(byte[]) - Method in interface org.apache.ignite.ml.inference.parser.ModelParser: Deprecated.

Accepts serialized model represented by byte array, parses it and returns Model.
partition(Object) - Method in class org.apache.ignite.ml.dataset.impl.cache.util.DatasetAffinityFunctionWrapper: Deprecated.

Returns key as a partition index.
partition() - Method in interface org.apache.ignite.ml.environment.LearningEnvironment: Deprecated.

Gets current partition.
PartitionContextBuilder<K,V,C extends Serializable> - Interface in org.apache.ignite.ml.dataset: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
PartitionDataBuilder<K,V,C extends Serializable,D extends AutoCloseable> - Interface in org.apache.ignite.ml.dataset: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
partitions() - Method in class org.apache.ignite.ml.dataset.impl.cache.util.DatasetAffinityFunctionWrapper: Deprecated.
parts - Variable in class org.apache.ignite.ml.selection.cv.AbstractCrossValidation: Deprecated.

Parts.
PatchedPreprocessor<K,V,L1,L2> - Class in org.apache.ignite.ml.preprocessing.developer: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
PatchedPreprocessor(IgniteFunction<LabeledVector<L1>, LabeledVector<L2>>, Preprocessor<K, V>) - Constructor for class org.apache.ignite.ml.preprocessing.developer.PatchedPreprocessor: Deprecated.

Constructs a new instance of Binarization preprocessor.
Pipeline<K,V,C extends Serializable,L> - Class in org.apache.ignite.ml.pipeline: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
Pipeline() - Constructor for class org.apache.ignite.ml.pipeline.Pipeline: Deprecated.
pipeline - Variable in class org.apache.ignite.ml.selection.cv.AbstractCrossValidation: Deprecated.

Pipeline.
PipelineMdl<K,V> - Class in org.apache.ignite.ml.pipeline: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
PipelineMdl() - Constructor for class org.apache.ignite.ml.pipeline.PipelineMdl: Deprecated.
plugin() - Method in class org.apache.ignite.ml.util.plugin.MLPluginProvider: Deprecated.
plus(H) - Method in interface org.apache.ignite.ml.dataset.feature.Histogram: Deprecated.
plus(ObjectHistogram<T>) - Method in class org.apache.ignite.ml.dataset.feature.ObjectHistogram: Deprecated.
PLUS - Static variable in class org.apache.ignite.ml.math.functions.Functions: Deprecated.

Function that returns a + b.
plus(double) - Static method in class org.apache.ignite.ml.math.functions.Functions: Deprecated.

Function that returns a + b.
plus(double) - Method in class org.apache.ignite.ml.math.primitives.matrix.AbstractMatrix: Deprecated.

Creates new matrix where each value is a sum of the corresponding value of this matrix and argument value.
plus(Matrix) - Method in class org.apache.ignite.ml.math.primitives.matrix.AbstractMatrix: Deprecated.

Creates new matrix where each value is a sum of corresponding values of this matrix and passed in argument matrix.
plus(double) - Method in interface org.apache.ignite.ml.math.primitives.matrix.Matrix: Deprecated.

Creates new matrix where each value is a sum of the corresponding value of this matrix and argument value.
plus(Matrix) - Method in interface org.apache.ignite.ml.math.primitives.matrix.Matrix: Deprecated.

Creates new matrix where each value is a sum of corresponding values of this matrix and passed in argument matrix.
plus(double) - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.

Creates new vector containing sum of each element in this vector and argument.
plus(Vector) - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.

Creates new vector containing element by element sum from both vectors.
plus(double) - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingVector: Deprecated.

Creates new vector containing sum of each element in this vector and argument.
plus(Vector) - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingVector: Deprecated.

Creates new vector containing element by element sum from both vectors.
plus(double) - Method in interface org.apache.ignite.ml.math.primitives.vector.Vector: Deprecated.

Creates new vector containing sum of each element in this vector and argument.
plus(Vector) - Method in interface org.apache.ignite.ml.math.primitives.vector.Vector: Deprecated.

Creates new vector containing element by element sum from both vectors.
plus(GiniHistogram) - Method in class org.apache.ignite.ml.tree.randomforest.data.impurity.GiniHistogram: Deprecated.
plus(ImpurityHistogramsComputer.NodeImpurityHistograms<S>) - Method in class org.apache.ignite.ml.tree.randomforest.data.impurity.ImpurityHistogramsComputer.NodeImpurityHistograms: Deprecated.

Store features statistics from other instance.
plus(MSEHistogram) - Method in class org.apache.ignite.ml.tree.randomforest.data.impurity.MSEHistogram: Deprecated.
plus(NormalDistributionStatistics) - Method in class org.apache.ignite.ml.tree.randomforest.data.statistics.NormalDistributionStatistics: Deprecated.

Returns plus of normal distribution statistics.
plus(VectorGenerator) - Method in interface org.apache.ignite.ml.util.generators.primitives.vector.VectorGenerator: Deprecated.

Creates new generator by sum of vectors of this generator and other.
PLUS_ABS - Static variable in class org.apache.ignite.ml.math.functions.Functions: Deprecated.

Function that returns Math.abs(a) + Math.abs(b).
plusMult(double) - Static method in class org.apache.ignite.ml.math.functions.Functions: Deprecated.

Function that returns a + b*constant.
PointWithDistance<L> - Class in org.apache.ignite.ml.knn.utils: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
PointWithDistance(LabeledVector<L>, double) - Constructor for class org.apache.ignite.ml.knn.utils.PointWithDistance: Deprecated.

Constructs a new instance of data point with distance.
PointWithDistanceUtil - Class in org.apache.ignite.ml.knn.utils: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
PointWithDistanceUtil() - Constructor for class org.apache.ignite.ml.knn.utils.PointWithDistanceUtil: Deprecated.
Population - Class in org.apache.ignite.ml.util.genetic: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
Population(int) - Constructor for class org.apache.ignite.ml.util.genetic.Population: Deprecated.
POPULATION_CACHE - Static variable in interface org.apache.ignite.ml.genetic.parameter.GAGridConstants: Deprecated.

populationCache constant
populationCache() - Static method in class org.apache.ignite.ml.genetic.cache.PopulationCacheConfig: Deprecated.
PopulationCacheConfig - Class in org.apache.ignite.ml.genetic.cache: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
PopulationCacheConfig() - Constructor for class org.apache.ignite.ml.genetic.cache.PopulationCacheConfig: Deprecated.
positiveClsLb() - Method in class org.apache.ignite.ml.selection.scoring.metric.classification.BinaryClassificationMetrics: Deprecated.
positiveClsLb() - Method in class org.apache.ignite.ml.selection.scoring.metric.classification.ROCAUC: Deprecated.

Get the positive label.
pow(double) - Static method in class org.apache.ignite.ml.math.functions.Functions: Deprecated.

Function that returns Math.pow(a, b).
precision - Variable in class org.apache.ignite.ml.composition.boosting.convergence.ConvergenceCheckerFactory: Deprecated.

Precision of error checking.
precision() - Method in class org.apache.ignite.ml.selection.scoring.metric.classification.BinaryClassificationMetricValues: Deprecated.

Returns Precision or Positive Predictive Value (PPV).
Precision<L> - Class in org.apache.ignite.ml.selection.scoring.metric.classification: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
Precision(L) - Constructor for class org.apache.ignite.ml.selection.scoring.metric.classification.Precision: Deprecated.

The class of interest or positive class.
predict(Vector) - Method in class org.apache.ignite.ml.clustering.gmm.GmmModel: Deprecated.

Make a prediction for the specified input arguments.
predict(Vector) - Method in class org.apache.ignite.ml.clustering.kmeans.KMeansModel: Deprecated.

Make a prediction for the specified input arguments.
predict(Vector) - Method in class org.apache.ignite.ml.composition.bagging.BaggedModel: Deprecated.

Make a prediction for the specified input arguments.
predict(Vector) - Method in class org.apache.ignite.ml.composition.boosting.GDBTrainer.GDBModel: Deprecated.

Applies containing models to features and aggregate them to one prediction.
predict(I) - Method in class org.apache.ignite.ml.composition.combinators.parallel.ModelsParallelComposition: Deprecated.

Make a prediction for the specified input arguments.
predict(I) - Method in class org.apache.ignite.ml.composition.combinators.sequential.ModelsSequentialComposition: Deprecated.

Make a prediction for the specified input arguments.
predict(Vector) - Method in class org.apache.ignite.ml.composition.ModelOnFeaturesSubspace: Deprecated.

Projects features vector to subspace in according to mapping and apply model to it.
predict(Vector) - Method in class org.apache.ignite.ml.composition.ModelsComposition: Deprecated.

Applies containing models to features and aggregate them to one prediction.
predict(IS) - Method in class org.apache.ignite.ml.composition.stacking.StackedModel: Deprecated.

Make a prediction for the specified input arguments.
predict(I) - Method in interface org.apache.ignite.ml.inference.Model: Deprecated.

Make a prediction for the specified input arguments.
predict(Vector) - Method in class org.apache.ignite.ml.knn.ann.ANNClassificationModel: Deprecated.

Make a prediction for the specified input arguments.
predict(Vector) - Method in class org.apache.ignite.ml.knn.classification.KNNClassificationModel: Deprecated.

Make a prediction for the specified input arguments.
predict(Vector) - Method in class org.apache.ignite.ml.knn.regression.KNNRegressionModel: Deprecated.

Make a prediction for the specified input arguments.
predict(Vector) - Method in class org.apache.ignite.ml.multiclass.MultiClassModel: Deprecated.

Make a prediction for the specified input arguments.
predict(Vector) - Method in class org.apache.ignite.ml.naivebayes.discrete.DiscreteNaiveBayesModel: Deprecated.
predict(Vector) - Method in class org.apache.ignite.ml.naivebayes.gaussian.GaussianNaiveBayesModel: Deprecated.

Returns a number of class to which the input belongs.
predict(Matrix) - Method in class org.apache.ignite.ml.nn.MultilayerPerceptron: Deprecated.

Makes a prediction for the given objects.
predict(Vector) - Method in class org.apache.ignite.ml.pipeline.PipelineMdl: Deprecated.
predict(ObjectSubjectPair<O, S>) - Method in class org.apache.ignite.ml.recommendation.RecommendationModel: Deprecated.

Make a prediction for the specified input arguments.
predict(Vector) - Method in class org.apache.ignite.ml.regressions.linear.LinearRegressionModel: Deprecated.

Make a prediction for the specified input arguments.
predict(Vector) - Method in class org.apache.ignite.ml.regressions.logistic.LogisticRegressionModel: Deprecated.

Make a prediction for the specified input arguments.
predict(String, Double...) - Static method in class org.apache.ignite.ml.sql.SQLFunctions: Deprecated.

Makes prediction using specified model name to extract model from model storage and specified input values as input object for prediction.
predict(Vector) - Method in class org.apache.ignite.ml.svm.SVMLinearClassificationModel: Deprecated.

Make a prediction for the specified input arguments.
predict(I) - Method in class org.apache.ignite.ml.trainers.AdaptableDatasetModel: Deprecated.

Result of this model application is a result of composition before `andThen` inner mdl `andThen` after.
predict(Vector) - Method in class org.apache.ignite.ml.tree.DecisionTreeConditionalNode: Deprecated.

Make a prediction for the specified input arguments.
predict(Vector) - Method in class org.apache.ignite.ml.tree.DecisionTreeLeafNode: Deprecated.

Make a prediction for the specified input arguments.
predict(Vector) - Method in class org.apache.ignite.ml.tree.randomforest.data.TreeNode: Deprecated.

Make a prediction for the specified input arguments.
predict(Vector) - Method in class org.apache.ignite.ml.tree.randomforest.data.TreeRoot: Deprecated.

Make a prediction for the specified input arguments.
predictionsAggregator() - Method in class org.apache.ignite.ml.composition.ModelsCompositionFormat: Deprecated.
PredictionsAggregator - Interface in org.apache.ignite.ml.composition.predictionsaggregator: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
predictNextNodeKey(Vector) - Method in class org.apache.ignite.ml.tree.randomforest.data.TreeNode: Deprecated.

Returns leaf node for feature vector in according to decision tree.
predictRecommendation(String, Integer, Integer) - Static method in class org.apache.ignite.ml.sql.SQLFunctions: Deprecated.

Makes prediction using specified model name to extract model from model storage and specified input values as input object for prediction.
PreprocessingTrainer<K,V> - Interface in org.apache.ignite.ml.preprocessing: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
Preprocessor<K,V> - Interface in org.apache.ignite.ml.preprocessing: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
preprocessor - Variable in class org.apache.ignite.ml.selection.cv.AbstractCrossValidation: Deprecated.

Preprocessor.
prevIterationGradient - Variable in class org.apache.ignite.ml.optimization.updatecalculators.RPropParameterUpdate: Deprecated.

Previous iteration model partial derivatives by parameters.
prevIterationUpdates - Variable in class org.apache.ignite.ml.optimization.updatecalculators.NesterovParameterUpdate: Deprecated.

Previous step weights updates.
prevIterationUpdates() - Method in class org.apache.ignite.ml.optimization.updatecalculators.NesterovParameterUpdate: Deprecated.

Get previous step parameters updates.
prevIterationUpdates - Variable in class org.apache.ignite.ml.optimization.updatecalculators.RPropParameterUpdate: Deprecated.

Previous iteration parameters updates.
printTree(DecisionTreeNode, boolean) - Static method in class org.apache.ignite.ml.tree.DecisionTree: Deprecated.

Represents DecisionTree as String.
prob(Vector) - Method in interface org.apache.ignite.ml.math.stat.Distribution: Deprecated.
prob(Vector) - Method in class org.apache.ignite.ml.math.stat.DistributionMixture: Deprecated.
prob(Vector) - Method in class org.apache.ignite.ml.math.stat.MultivariateGaussianDistribution: Deprecated.
ProbableLabel - Class in org.apache.ignite.ml.knn.ann: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
ProbableLabel(TreeMap<Double, Double>) - Constructor for class org.apache.ignite.ml.knn.ann.ProbableLabel: Deprecated.

The key is class label, the value is the probability to be an item of this class.
PROCESSOR_ID - Static variable in class org.apache.ignite.ml.inference.storage.model.thinclient.ModelStorateThinClientProcessor: Deprecated.

Processor id.
Promise<T> - Interface in org.apache.ignite.ml.environment.parallelism: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
provideDiscoveryData(UUID) - Method in class org.apache.ignite.ml.util.plugin.MLPluginProvider: Deprecated.
put(String, ModelDescriptor) - Method in class org.apache.ignite.ml.inference.storage.descriptor.IgniteModelDescriptorStorage: Deprecated.

Saves the specified model descriptor with the specified model identifier.
put(String, ModelDescriptor) - Method in class org.apache.ignite.ml.inference.storage.descriptor.LocalModelDescriptorStorage: Deprecated.

Saves the specified model descriptor with the specified model identifier.
put(String, ModelDescriptor) - Method in interface org.apache.ignite.ml.inference.storage.descriptor.ModelDescriptorStorage: Deprecated.

Saves the specified model descriptor with the specified model identifier.
put(String, FileOrDirectory) - Method in class org.apache.ignite.ml.inference.storage.model.IgniteModelStorageProvider: Deprecated.

Saves file or directory associated with the specified path.
put(String, FileOrDirectory) - Method in class org.apache.ignite.ml.inference.storage.model.LocalModelStorageProvider: Deprecated.

Saves file or directory associated with the specified path.
put(String, FileOrDirectory) - Method in interface org.apache.ignite.ml.inference.storage.model.ModelStorageProvider: Deprecated.

Saves file or directory associated with the specified path.
putDistanceIdxPair(Map<Double, Set<Integer>>, int, double) - Method in class org.apache.ignite.ml.knn.NNClassificationModel: Deprecated.
putFile(String, byte[], boolean) - Method in class org.apache.ignite.ml.inference.storage.model.DefaultModelStorage: Deprecated.

Creates a new or replaces existing file.
putFile(String, byte[], boolean) - Method in interface org.apache.ignite.ml.inference.storage.model.ModelStorage: Deprecated.

Creates a new or replaces existing file.
putFile(String, byte[]) - Method in interface org.apache.ignite.ml.inference.storage.model.ModelStorage: Deprecated.

Creates a new or replaces existing file.
putIfAbsent(String, ModelDescriptor) - Method in class org.apache.ignite.ml.inference.storage.descriptor.IgniteModelDescriptorStorage: Deprecated.

Saves the specified model descriptor with the specified model identifier if it's not saved yet.
putIfAbsent(String, ModelDescriptor) - Method in class org.apache.ignite.ml.inference.storage.descriptor.LocalModelDescriptorStorage: Deprecated.

Saves the specified model descriptor with the specified model identifier if it's not saved yet.
putIfAbsent(String, ModelDescriptor) - Method in interface org.apache.ignite.ml.inference.storage.descriptor.ModelDescriptorStorage: Deprecated.

Saves the specified model descriptor with the specified model identifier if it's not saved yet.

R

r2() - Method in class org.apache.ignite.ml.selection.scoring.metric.regression.RegressionMetricValues: Deprecated.

Returns coefficient of determination.
RANDOM_ACCESS_MODE - Static variable in interface org.apache.ignite.ml.math.StorageConstants: Deprecated.

Storage mode optimized for random access.
randomDistribution(int) - Static method in class org.apache.ignite.ml.util.generators.primitives.scalar.DiscreteRandomProducer: Deprecated.

Generates pseudorandom discrete distribution.
randomDistribution(int, long) - Static method in class org.apache.ignite.ml.util.generators.primitives.scalar.DiscreteRandomProducer: Deprecated.

Generates pseudorandom discrete distribution.
RandomForestClassifierTrainer - Class in org.apache.ignite.ml.tree.randomforest: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
RandomForestClassifierTrainer(List<FeatureMeta>) - Constructor for class org.apache.ignite.ml.tree.randomforest.RandomForestClassifierTrainer: Deprecated.

Constructs an instance of RandomForestClassifierTrainer.
RandomForestRegressionTrainer - Class in org.apache.ignite.ml.tree.randomforest: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
RandomForestRegressionTrainer(List<FeatureMeta>) - Constructor for class org.apache.ignite.ml.tree.randomforest.RandomForestRegressionTrainer: Deprecated.

Constructs an instance of RandomForestRegressionTrainer.
RandomForestTrainer<L,S extends ImpurityComputer<BootstrappedVector,S>,T extends RandomForestTrainer<L,S,T>> - Class in org.apache.ignite.ml.tree.randomforest: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
RandomForestTrainer(List<FeatureMeta>) - Constructor for class org.apache.ignite.ml.tree.randomforest.RandomForestTrainer: Deprecated.

Create an instance of RandomForestTrainer.
RandomInitializer - Class in org.apache.ignite.ml.nn.initializers: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
RandomInitializer(Random) - Constructor for class org.apache.ignite.ml.nn.initializers.RandomInitializer: Deprecated.

Construct RandomInitializer from given RNG.
RandomInitializer(long) - Constructor for class org.apache.ignite.ml.nn.initializers.RandomInitializer: Deprecated.

Constructs RandomInitializer with the given seed.
RandomInitializer() - Constructor for class org.apache.ignite.ml.nn.initializers.RandomInitializer: Deprecated.

Constructs RandomInitializer with random seed.
randomNumbersGenerator() - Method in interface org.apache.ignite.ml.environment.LearningEnvironment: Deprecated.

Random numbers generator.
RandomProducer - Interface in org.apache.ignite.ml.util.generators.primitives.scalar: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
RandomStrategy - Class in org.apache.ignite.ml.selection.paramgrid: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
RandomStrategy() - Constructor for class org.apache.ignite.ml.selection.paramgrid.RandomStrategy: Deprecated.
rawData() - Method in class org.apache.ignite.ml.math.primitives.vector.storage.DenseVectorStorage: Deprecated.
rawData() - Method in class org.apache.ignite.ml.math.primitives.vector.storage.SparseVectorStorage: Deprecated.
rawData() - Method in class org.apache.ignite.ml.math.primitives.vector.storage.VectorViewStorage: Deprecated.
rawData() - Method in interface org.apache.ignite.ml.math.primitives.vector.VectorStorage: Deprecated.
read() - Method in class org.apache.ignite.ml.inference.reader.FileSystemModelReader: Deprecated.

Rads model and returns it in serialized form as byte array.
read() - Method in class org.apache.ignite.ml.inference.reader.InMemoryModelReader: Deprecated.

Rads model and returns it in serialized form as byte array.
read() - Method in interface org.apache.ignite.ml.inference.reader.ModelReader: Deprecated.

Rads model and returns it in serialized form as byte array.
read() - Method in class org.apache.ignite.ml.inference.reader.ModelStorageModelReader: Deprecated.

Rads model and returns it in serialized form as byte array.
readExternal(ObjectInput) - Method in class org.apache.ignite.ml.dataset.impl.bootstrapping.BootstrappedVector: Deprecated.
readExternal(ObjectInput) - Method in class org.apache.ignite.ml.math.distances.EuclideanDistance: Deprecated.
readExternal(ObjectInput) - Method in class org.apache.ignite.ml.math.distances.HammingDistance: Deprecated.
readExternal(ObjectInput) - Method in class org.apache.ignite.ml.math.distances.ManhattanDistance: Deprecated.
readExternal(ObjectInput) - Method in class org.apache.ignite.ml.math.primitives.matrix.AbstractMatrix: Deprecated.
readExternal(ObjectInput) - Method in class org.apache.ignite.ml.math.primitives.matrix.storage.DenseMatrixStorage: Deprecated.
readExternal(ObjectInput) - Method in class org.apache.ignite.ml.math.primitives.matrix.storage.SparseMatrixStorage: Deprecated.
readExternal(ObjectInput) - Method in class org.apache.ignite.ml.math.primitives.matrix.storage.ViewMatrixStorage: Deprecated.
readExternal(ObjectInput) - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.
readExternal(ObjectInput) - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingNamedVector: Deprecated.
readExternal(ObjectInput) - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingVector: Deprecated.
readExternal(ObjectInput) - Method in class org.apache.ignite.ml.math.primitives.vector.impl.VectorizedViewMatrix: Deprecated.
readExternal(ObjectInput) - Method in class org.apache.ignite.ml.math.primitives.vector.storage.DenseVectorStorage: Deprecated.
readExternal(ObjectInput) - Method in class org.apache.ignite.ml.math.primitives.vector.storage.SparseVectorStorage: Deprecated.
readExternal(ObjectInput) - Method in class org.apache.ignite.ml.math.primitives.vector.storage.VectorizedViewMatrixStorage: Deprecated.
readExternal(ObjectInput) - Method in class org.apache.ignite.ml.math.primitives.vector.storage.VectorViewStorage: Deprecated.
readExternal(ObjectInput) - Method in class org.apache.ignite.ml.structures.Dataset: Deprecated.
readExternal(ObjectInput) - Method in class org.apache.ignite.ml.structures.DatasetRow: Deprecated.
readExternal(ObjectInput) - Method in class org.apache.ignite.ml.structures.FeatureMetadata: Deprecated.
readExternal(ObjectInput) - Method in class org.apache.ignite.ml.structures.LabeledVector: Deprecated.
recall() - Method in class org.apache.ignite.ml.selection.scoring.metric.classification.BinaryClassificationMetricValues: Deprecated.

Returns Sensitivity or True Positive Rate (TPR).
Recall<L> - Class in org.apache.ignite.ml.selection.scoring.metric.classification: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
Recall(L) - Constructor for class org.apache.ignite.ml.selection.scoring.metric.classification.Recall: Deprecated.

The class of interest or positive class.
receiveDiscoveryData(UUID, Serializable) - Method in class org.apache.ignite.ml.util.plugin.MLPluginProvider: Deprecated.
RecommendationBinaryDatasetDataBuilder - Class in org.apache.ignite.ml.recommendation.util: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
RecommendationBinaryDatasetDataBuilder(String, String, String) - Constructor for class org.apache.ignite.ml.recommendation.util.RecommendationBinaryDatasetDataBuilder: Deprecated.

Constructs a new instance of recommendation binary dataset data builder.
RecommendationDatasetData<O extends Serializable,S extends Serializable> - Class in org.apache.ignite.ml.recommendation.util: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
RecommendationDatasetData(List<? extends ObjectSubjectRatingTriplet<O, S>>) - Constructor for class org.apache.ignite.ml.recommendation.util.RecommendationDatasetData: Deprecated.

Constructs a new instance of recommendation dataset data.
RecommendationDatasetDataBuilder<K,O extends Serializable,S extends Serializable,Z extends ObjectSubjectRatingTriplet<O,S>> - Class in org.apache.ignite.ml.recommendation.util: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
RecommendationDatasetDataBuilder() - Constructor for class org.apache.ignite.ml.recommendation.util.RecommendationDatasetDataBuilder: Deprecated.
RecommendationModel<O extends Serializable,S extends Serializable> - Class in org.apache.ignite.ml.recommendation: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
RecommendationModel(Map<O, Vector>, Map<S, Vector>) - Constructor for class org.apache.ignite.ml.recommendation.RecommendationModel: Deprecated.

Constructs a new instance of recommendation model.
RecommendationTrainer - Class in org.apache.ignite.ml.recommendation: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
RecommendationTrainer() - Constructor for class org.apache.ignite.ml.recommendation.RecommendationTrainer: Deprecated.
reduce(List<ComputeJobResult>) - Method in class org.apache.ignite.ml.genetic.CrossOverTask: Deprecated.
reduce(List<ComputeJobResult>) - Method in class org.apache.ignite.ml.genetic.FitnessTask: Deprecated.
reduce(List<ComputeJobResult>) - Method in class org.apache.ignite.ml.genetic.MutateTask: Deprecated.
reduce(List<ComputeJobResult>) - Method in class org.apache.ignite.ml.genetic.RouletteWheelSelectionTask: Deprecated.

Return list of parent Chromosomes.
reduce(List<ComputeJobResult>) - Method in class org.apache.ignite.ml.genetic.TruncateSelectionTask: Deprecated.
reduceStats(List<NormalDistributionStatistics>, List<NormalDistributionStatistics>, List<FeatureMeta>) - Method in class org.apache.ignite.ml.tree.randomforest.data.statistics.NormalDistributionStatisticsComputer: Deprecated.

Merges statistics on features from two partitions.
RegressionDataStream - Class in org.apache.ignite.ml.util.generators.standard: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
RegressionDataStream(int, IgniteFunction<Vector, Double>, double, double) - Constructor for class org.apache.ignite.ml.util.generators.standard.RegressionDataStream: Deprecated.

Creates an instance of RegressionDataStream.
RegressionLeafValuesComputer - Class in org.apache.ignite.ml.tree.randomforest.data.statistics: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
RegressionLeafValuesComputer() - Constructor for class org.apache.ignite.ml.tree.randomforest.data.statistics.RegressionLeafValuesComputer: Deprecated.
RegressionMetrics - Class in org.apache.ignite.ml.selection.scoring.metric.regression: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
RegressionMetrics() - Constructor for class org.apache.ignite.ml.selection.scoring.metric.regression.RegressionMetrics: Deprecated.
RegressionMetricValues - Class in org.apache.ignite.ml.selection.scoring.metric.regression: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
RegressionMetricValues(int, double, double, double) - Constructor for class org.apache.ignite.ml.selection.scoring.metric.regression.RegressionMetricValues: Deprecated.

Initalize an instance.
RELU - Static variable in class org.apache.ignite.ml.nn.Activators: Deprecated.

Rectified linear unit (ReLU) activation function.
remove(String) - Method in class org.apache.ignite.ml.inference.storage.descriptor.IgniteModelDescriptorStorage: Deprecated.

Removes model descriptor for the specified model descriptor.
remove(String) - Method in class org.apache.ignite.ml.inference.storage.descriptor.LocalModelDescriptorStorage: Deprecated.

Removes model descriptor for the specified model descriptor.
remove(String) - Method in interface org.apache.ignite.ml.inference.storage.descriptor.ModelDescriptorStorage: Deprecated.

Removes model descriptor for the specified model descriptor.
remove(String) - Method in class org.apache.ignite.ml.inference.storage.model.DefaultModelStorage: Deprecated.

Removes specified directory or file.
remove(String) - Method in class org.apache.ignite.ml.inference.storage.model.IgniteModelStorageProvider: Deprecated.

Removes file or directory associated with the specified path.
remove(String) - Method in class org.apache.ignite.ml.inference.storage.model.LocalModelStorageProvider: Deprecated.

Removes file or directory associated with the specified path.
remove(String) - Method in interface org.apache.ignite.ml.inference.storage.model.ModelStorage: Deprecated.

Removes specified directory or file.
remove(String) - Method in interface org.apache.ignite.ml.inference.storage.model.ModelStorageProvider: Deprecated.

Removes file or directory associated with the specified path.
removeAttribute(String) - Method in interface org.apache.ignite.ml.math.MetaAttributes: Deprecated.

Removes meta attribute with given name.
removeData(Ignite, UUID) - Static method in class org.apache.ignite.ml.dataset.impl.cache.util.ComputeUtils: Deprecated.

Remove data from local cache by Dataset ID.
removeEldestEntry(Map.Entry<K, V>) - Method in class org.apache.ignite.ml.util.LRUCache: Deprecated.
removeLearningEnv(Ignite, UUID) - Static method in class org.apache.ignite.ml.dataset.impl.cache.util.ComputeUtils: Deprecated.

Remove learning environment from local cache by Dataset ID.
removeModel(Ignite, String) - Static method in class org.apache.ignite.ml.inference.IgniteModelStorageUtil: Deprecated.

Removes model with specified name.
removeNode(UUID) - Method in class org.apache.ignite.ml.dataset.impl.cache.util.DatasetAffinityFunctionWrapper: Deprecated.
reset() - Method in class org.apache.ignite.ml.dataset.impl.cache.util.DatasetAffinityFunctionWrapper: Deprecated.
resetProbabilitiesSettings() - Method in class org.apache.ignite.ml.naivebayes.discrete.DiscreteNaiveBayesTrainer: Deprecated.

Sets default settings equiprobableClasses to false and removes priorProbabilities.
resetSettings() - Method in class org.apache.ignite.ml.naivebayes.gaussian.GaussianNaiveBayesTrainer: Deprecated.

Sets default settings.
result(ComputeJobResult, List<ComputeJobResult>) - Method in class org.apache.ignite.ml.genetic.CrossOverTask: Deprecated.
result(ComputeJobResult, List<ComputeJobResult>) - Method in class org.apache.ignite.ml.genetic.FitnessTask: Deprecated.
result(ComputeJobResult, List<ComputeJobResult>) - Method in class org.apache.ignite.ml.genetic.MutateTask: Deprecated.
result(ComputeJobResult, List<ComputeJobResult>) - Method in class org.apache.ignite.ml.genetic.RouletteWheelSelectionTask: Deprecated.
result(ComputeJobResult, List<ComputeJobResult>) - Method in class org.apache.ignite.ml.genetic.TruncateSelectionTask: Deprecated.
ring(double, double, double) - Static method in class org.apache.ignite.ml.util.generators.primitives.vector.VectorGeneratorPrimitives: Deprecated.

Returns vector generator of 2D-vectors from ring-like distribution.
ring(double, double, double, long) - Static method in class org.apache.ignite.ml.util.generators.primitives.vector.VectorGeneratorPrimitives: Deprecated.

Returns vector generator of 2D-vectors from ring-like distribution around zero.
RingsDataStream - Class in org.apache.ignite.ml.util.generators.standard: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
RingsDataStream(int, double, double) - Constructor for class org.apache.ignite.ml.util.generators.standard.RingsDataStream: Deprecated.

Create an intance of RingsDataStream.
RingsDataStream(int, double, double, long) - Constructor for class org.apache.ignite.ml.util.generators.standard.RingsDataStream: Deprecated.

Create an intance of RingsDataStream.
rmse() - Method in class org.apache.ignite.ml.selection.scoring.metric.regression.RegressionMetricValues: Deprecated.

Returns root mean squared error.
rocauc() - Method in class org.apache.ignite.ml.selection.scoring.metric.classification.BinaryClassificationMetricValues: Deprecated.

Returns ROCAUC value.
ROCAUC - Class in org.apache.ignite.ml.selection.scoring.metric.classification: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
ROCAUC() - Constructor for class org.apache.ignite.ml.selection.scoring.metric.classification.ROCAUC: Deprecated.
rotate(double) - Method in interface org.apache.ignite.ml.util.generators.primitives.vector.VectorGenerator: Deprecated.

Rotate first two components of all vectors of generator by angle around zero.
rotate(double, int, int) - Method in interface org.apache.ignite.ml.util.generators.primitives.vector.VectorGenerator: Deprecated.

Rotate selected two components of all vectors of generator by angle around zero.
RouletteWheelSelectionJob - Class in org.apache.ignite.ml.genetic: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
RouletteWheelSelectionJob(Double, LinkedHashMap<Long, Double>) - Constructor for class org.apache.ignite.ml.genetic.RouletteWheelSelectionJob: Deprecated.
RouletteWheelSelectionTask - Class in org.apache.ignite.ml.genetic: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
RouletteWheelSelectionTask(GAConfiguration) - Constructor for class org.apache.ignite.ml.genetic.RouletteWheelSelectionTask: Deprecated.
row() - Method in interface org.apache.ignite.ml.math.primitives.matrix.Matrix.Element: Deprecated.

Gets element's row index.
ROW_STORAGE_MODE - Static variable in interface org.apache.ignite.ml.math.StorageConstants: Deprecated.

Storage mode optimized for row access.
rowCount() - Method in class org.apache.ignite.ml.clustering.gmm.CovarianceMatricesAggregator: Deprecated.
rowCountForNewCluster() - Method in class org.apache.ignite.ml.clustering.gmm.NewComponentStatisticsAggregator: Deprecated.
RowIndexException - Exception in org.apache.ignite.ml.math.exceptions: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
RowIndexException(int) - Constructor for exception org.apache.ignite.ml.math.exceptions.RowIndexException: Deprecated.
rowOffset() - Method in class org.apache.ignite.ml.math.primitives.matrix.storage.ViewMatrixStorage: Deprecated.
rowsCount() - Method in class org.apache.ignite.ml.tree.data.TreeDataIndex: Deprecated.
rowsCount(DecisionTreeData, TreeDataIndex) - Method in class org.apache.ignite.ml.tree.impurity.ImpurityMeasureCalculator: Deprecated.

Returns rows count in current dataset.
rowSize() - Method in class org.apache.ignite.ml.math.primitives.matrix.AbstractMatrix: Deprecated.

Gets number of rows in this matrix.
rowSize() - Method in interface org.apache.ignite.ml.math.primitives.matrix.Matrix: Deprecated.

Gets number of rows in this matrix.
rowSize() - Method in interface org.apache.ignite.ml.math.primitives.matrix.MatrixStorage: Deprecated.
rowSize() - Method in class org.apache.ignite.ml.math.primitives.matrix.storage.DenseMatrixStorage: Deprecated.
rowSize() - Method in class org.apache.ignite.ml.math.primitives.matrix.storage.SparseMatrixStorage: Deprecated.
rowSize() - Method in class org.apache.ignite.ml.math.primitives.matrix.storage.ViewMatrixStorage: Deprecated.
rowSize - Variable in class org.apache.ignite.ml.structures.Dataset: Deprecated.

Amount of instances.
rowSize() - Method in class org.apache.ignite.ml.structures.Dataset: Deprecated.

Gets amount of observation.
rowsLength() - Method in class org.apache.ignite.ml.math.primitives.matrix.storage.ViewMatrixStorage: Deprecated.
RPropParameterUpdate - Class in org.apache.ignite.ml.optimization.updatecalculators: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
RPropParameterUpdate(Vector, Vector, Vector, Vector) - Constructor for class org.apache.ignite.ml.optimization.updatecalculators.RPropParameterUpdate: Deprecated.

Construct instance of this class by given parameters.
RPropUpdateCalculator - Class in org.apache.ignite.ml.optimization.updatecalculators: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
RPropUpdateCalculator(double, double, double) - Constructor for class org.apache.ignite.ml.optimization.updatecalculators.RPropUpdateCalculator: Deprecated.

Construct RPropUpdateCalculator.
RPropUpdateCalculator() - Constructor for class org.apache.ignite.ml.optimization.updatecalculators.RPropUpdateCalculator: Deprecated.

Construct RPropUpdateCalculator with default parameters.
rss() - Method in class org.apache.ignite.ml.selection.scoring.metric.regression.RegressionMetricValues: Deprecated.

Returns residual sum of squares.
run() - Method in class org.apache.ignite.ml.util.genetic.GeneticAlgorithm: Deprecated.

The main method for genetic algorithm.
runParallel(LearningEnvironment) - Method in class org.apache.ignite.ml.util.genetic.GeneticAlgorithm: Deprecated.

The main method for genetic algorithm.

S

sampleSize - Variable in class org.apache.ignite.ml.composition.boosting.GDBLearningStrategy: Deprecated.

Sample size.
SandboxMLCache - Class in org.apache.ignite.ml.util: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
SandboxMLCache(Ignite) - Constructor for class org.apache.ignite.ml.util.SandboxMLCache: Deprecated.
save(D, P) - Method in interface org.apache.ignite.ml.Exporter: Deprecated.

Save model by path p
save(D, String) - Method in class org.apache.ignite.ml.FileExporter: Deprecated.

Save model by path p
saveAsCsv(Vector, String, String) - Static method in class org.apache.ignite.ml.math.Tracer: Deprecated.

Saves given vector as CSV file.
saveAsCsv(Matrix, String, String) - Static method in class org.apache.ignite.ml.math.Tracer: Deprecated.

Saves given matrix as CSV file.
saveContext(Ignite, String, int, C) - Static method in class org.apache.ignite.ml.dataset.impl.cache.util.ComputeUtils: Deprecated.

Saves the specified partition context into the Ignite Cache.
saveModel(Exporter<KMeansModelFormat, P>, P) - Method in class org.apache.ignite.ml.clustering.kmeans.KMeansModel: Deprecated.

Save model by the given path.
saveModel(Exporter<ModelsCompositionFormat, P>, P) - Method in class org.apache.ignite.ml.composition.ModelsComposition: Deprecated.

Save model by the given path.
saveModel(Exporter<D, P>, P) - Method in interface org.apache.ignite.ml.Exportable: Deprecated.

Save model by the given path.
saveModel(Ignite, IgniteModel<I, O>, String) - Static method in class org.apache.ignite.ml.inference.IgniteModelStorageUtil: Deprecated.

Saved specified model with specified name.
saveModel(Exporter<KNNModelFormat, P>, P) - Method in class org.apache.ignite.ml.knn.ann.ANNClassificationModel: Deprecated.
saveModel(Exporter<KNNModelFormat, P>, P) - Method in class org.apache.ignite.ml.knn.NNClassificationModel: Deprecated.

Save model by the given path.
saveModel(Exporter<MultiClassModel, P>, P) - Method in class org.apache.ignite.ml.multiclass.MultiClassModel: Deprecated.

Save model by the given path.
saveModel(Exporter<DiscreteNaiveBayesModel, P>, P) - Method in class org.apache.ignite.ml.naivebayes.discrete.DiscreteNaiveBayesModel: Deprecated.

Save model by the given path.
saveModel(Exporter<GaussianNaiveBayesModel, P>, P) - Method in class org.apache.ignite.ml.naivebayes.gaussian.GaussianNaiveBayesModel: Deprecated.

Save model by the given path.
saveModel(Exporter<LinearRegressionModel, P>, P) - Method in class org.apache.ignite.ml.regressions.linear.LinearRegressionModel: Deprecated.

Save model by the given path.
saveModel(Exporter<LogisticRegressionModel, P>, P) - Method in class org.apache.ignite.ml.regressions.logistic.LogisticRegressionModel: Deprecated.

Save model by the given path.
saveModel(Exporter<SVMLinearClassificationModel, P>, P) - Method in class org.apache.ignite.ml.svm.SVMLinearClassificationModel: Deprecated.

Save model by the given path.
scal(Double, Vector) - Static method in class org.apache.ignite.ml.math.Blas: Deprecated.

Performs in-place multiplication of vector x by a real scalar a.
score(Function<IgniteBiPredicate<K, V>, DatasetBuilder<K, V>>, BiFunction<IgniteBiPredicate<K, V>, M, LabelPairCursor<L>>) - Method in class org.apache.ignite.ml.selection.cv.AbstractCrossValidation: Deprecated.

Computes cross-validated metrics.
score(Iterator<LabelPair<Double>>) - Method in class org.apache.ignite.ml.selection.scoring.metric.AbstractMetrics: Deprecated.

Calculates score.
score(Iterator<LabelPair<L>>) - Method in class org.apache.ignite.ml.selection.scoring.metric.classification.Accuracy: Deprecated.

Calculates score.
score(Iterator<LabelPair<L>>) - Method in class org.apache.ignite.ml.selection.scoring.metric.classification.Fmeasure: Deprecated.

Calculates score.
score(Iterator<LabelPair<L>>) - Method in class org.apache.ignite.ml.selection.scoring.metric.classification.Precision: Deprecated.

Calculates score.
score(Iterator<LabelPair<L>>) - Method in class org.apache.ignite.ml.selection.scoring.metric.classification.Recall: Deprecated.

Calculates score.
score(Iterator<LabelPair<Double>>) - Method in class org.apache.ignite.ml.selection.scoring.metric.classification.ROCAUC: Deprecated.

Calculates score.
score(Iterator<LabelPair<L>>) - Method in interface org.apache.ignite.ml.selection.scoring.metric.Metric: Deprecated.

Calculates score.
scoreAll(Iterator<LabelPair<Double>>) - Method in class org.apache.ignite.ml.selection.scoring.metric.AbstractMetrics: Deprecated.

Calculates metrics values.
scoreAll(Iterator<LabelPair<Double>>) - Method in class org.apache.ignite.ml.selection.scoring.metric.classification.BinaryClassificationMetrics: Deprecated.

Calculates binary metrics values.
scoreAll(Iterator<LabelPair<Double>>) - Method in class org.apache.ignite.ml.selection.scoring.metric.regression.RegressionMetrics: Deprecated.

Calculates regression metrics values.
scoreByFolds() - Method in class org.apache.ignite.ml.selection.cv.AbstractCrossValidation: Deprecated.

Calculates score by folds.
scoreByFolds() - Method in class org.apache.ignite.ml.selection.cv.CrossValidation: Deprecated.

Calculates score by folds.
scoreByFolds() - Method in class org.apache.ignite.ml.selection.cv.DebugCrossValidation: Deprecated.

Calculates score by folds.
scorePipeline(Function<IgniteBiPredicate<K, V>, DatasetBuilder<K, V>>, BiFunction<IgniteBiPredicate<K, V>, M, LabelPairCursor<L>>) - Method in class org.apache.ignite.ml.selection.cv.AbstractCrossValidation: Deprecated.

Computes cross-validated metrics.
secondModel() - Method in class org.apache.ignite.ml.composition.combinators.sequential.ModelsSequentialComposition: Deprecated.

Get second model.
selectBestKChromosome(int) - Method in class org.apache.ignite.ml.util.genetic.Population: Deprecated.

Selects the top K chromosomes by fitness value from the smallest to the largest.
SelectionStrategy - Enum in org.apache.ignite.ml.util.genetic: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
selectKDistinct(int, int, Random) - Static method in class org.apache.ignite.ml.util.Utils: Deprecated.

Select k distinct integers from range [0, n) with reservoir sampling: https://en.wikipedia.org/wiki/Reservoir_sampling.
selectKDistinct(int, int) - Static method in class org.apache.ignite.ml.util.Utils: Deprecated.

Select k distinct integers from range [0, n) with reservoir sampling: https://en.wikipedia.org/wiki/Reservoir_sampling.
self() - Method in class org.apache.ignite.ml.knn.classification.KNNClassificationTrainer: Deprecated.

Returns this instance.
self() - Method in class org.apache.ignite.ml.knn.KNNTrainer: Deprecated.

Returns this instance.
self() - Method in class org.apache.ignite.ml.knn.regression.KNNRegressionTrainer: Deprecated.

Returns this instance.
SEQUENTIAL_ACCESS_MODE - Static variable in interface org.apache.ignite.ml.math.StorageConstants: Deprecated.

Storage mode optimized for sequential access.
serialize(Path) - Static method in class org.apache.ignite.ml.inference.util.DirectorySerializer: Deprecated.

Serializes directory content.
serialize(T) - Static method in class org.apache.ignite.ml.util.Utils: Deprecated.

Serialized the specified object.
serialVersionUID - Static variable in class org.apache.ignite.ml.preprocessing.encoding.stringencoder.StringEncoderPreprocessor: Deprecated.
set(int, int, double) - Method in class org.apache.ignite.ml.math.primitives.matrix.AbstractMatrix: Deprecated.

Sets given value.
set(double) - Method in interface org.apache.ignite.ml.math.primitives.matrix.Matrix.Element: Deprecated.

Sets element's value.
set(int, int, double) - Method in interface org.apache.ignite.ml.math.primitives.matrix.Matrix: Deprecated.

Sets given value.
set(int, int, double) - Method in interface org.apache.ignite.ml.math.primitives.matrix.MatrixStorage: Deprecated.
set(int, int, double) - Method in class org.apache.ignite.ml.math.primitives.matrix.storage.DenseMatrixStorage: Deprecated.
set(int, int, double) - Method in class org.apache.ignite.ml.math.primitives.matrix.storage.SparseMatrixStorage: Deprecated.
set(int, int, double) - Method in class org.apache.ignite.ml.math.primitives.matrix.storage.ViewMatrixStorage: Deprecated.
set(int, double) - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.

Sets value.
set(String, double) - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingNamedVector: Deprecated.

Sets element with specified string index and value.
set(int, double) - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingVector: Deprecated.

Sets value.
set(String, double) - Method in interface org.apache.ignite.ml.math.primitives.vector.NamedVector: Deprecated.

Sets element with specified string index and value.
set(int, double) - Method in class org.apache.ignite.ml.math.primitives.vector.storage.DenseVectorStorage: Deprecated.
set(int, double) - Method in class org.apache.ignite.ml.math.primitives.vector.storage.SparseVectorStorage: Deprecated.
set(int, double) - Method in class org.apache.ignite.ml.math.primitives.vector.storage.VectorizedViewMatrixStorage: Deprecated.
set(int, double) - Method in class org.apache.ignite.ml.math.primitives.vector.storage.VectorViewStorage: Deprecated.
set(double) - Method in interface org.apache.ignite.ml.math.primitives.vector.Vector.Element: Deprecated.

Sets element's value.
set(int, double) - Method in interface org.apache.ignite.ml.math.primitives.vector.Vector: Deprecated.

Sets value.
set(int, double) - Method in interface org.apache.ignite.ml.math.primitives.vector.VectorStorage: Deprecated.
set(int, double) - Method in class org.apache.ignite.ml.structures.DatasetRow: Deprecated.

Sets value.
setAttribute(String, T) - Method in interface org.apache.ignite.ml.math.MetaAttributes: Deprecated.

Sets meta attribute with given name and value.
setBestHyperParams(Map<String, Double>) - Method in class org.apache.ignite.ml.selection.cv.CrossValidationResult: Deprecated.

Helper method in cross-validation process.
setBias(int, int, double) - Method in class org.apache.ignite.ml.nn.MultilayerPerceptron: Deprecated.

Set the bias of given neuron in given layer.
setBiases(int, Vector) - Method in class org.apache.ignite.ml.nn.MultilayerPerceptron: Deprecated.

Sets the biases of layer with a given index.
setBucketSize(double) - Method in class org.apache.ignite.ml.dataset.feature.BucketMeta: Deprecated.
setBucketThresholds(double[][]) - Method in class org.apache.ignite.ml.naivebayes.discrete.DiscreteNaiveBayesTrainer: Deprecated.

Sets buckest borders.
setChromosome(int, Chromosome) - Method in class org.apache.ignite.ml.util.genetic.Population: Deprecated.

Sets the chromsome for given index.
setChromosomeCriteria(ChromosomeCriteria) - Method in class org.apache.ignite.ml.genetic.parameter.GAConfiguration: Deprecated.

set value for ChromosomeCriteria
setChromosomeLen(int) - Method in class org.apache.ignite.ml.genetic.parameter.GAConfiguration: Deprecated.

Set the Chromsome length
setCntOfValues(long) - Method in class org.apache.ignite.ml.tree.randomforest.data.statistics.MeanValueStatistic: Deprecated.
setColumn(int, double[]) - Method in class org.apache.ignite.ml.math.primitives.matrix.AbstractMatrix: Deprecated.

Sets values for given column.
setColumn(int, double[]) - Method in interface org.apache.ignite.ml.math.primitives.matrix.Matrix: Deprecated.

Sets values for given column.
setCopiedOriginalLabels(double[]) - Method in class org.apache.ignite.ml.tree.data.DecisionTreeData: Deprecated.
setCriteria(List<String>) - Method in class org.apache.ignite.ml.genetic.parameter.ChromosomeCriteria: Deprecated.

Set criteria
setCrossOverRate(double) - Method in class org.apache.ignite.ml.genetic.parameter.GAConfiguration: Deprecated.

Set the cross over rate.
setData(Row[]) - Method in class org.apache.ignite.ml.structures.Dataset: Deprecated.
setDeltas(Vector) - Method in class org.apache.ignite.ml.optimization.updatecalculators.RPropParameterUpdate: Deprecated.

Set previous iteration deltas.
setDistributed(boolean) - Method in class org.apache.ignite.ml.structures.Dataset: Deprecated.
setElitismCnt(int) - Method in class org.apache.ignite.ml.genetic.parameter.GAConfiguration: Deprecated.

Set the elitism count.
setElseNode(DecisionTreeNode) - Method in class org.apache.ignite.ml.tree.DecisionTreeConditionalNode: Deprecated.
setEnvironmentBuilder(LearningEnvironmentBuilder) - Method in class org.apache.ignite.ml.pipeline.Pipeline: Deprecated.

Set learning environment builder.
setFitness(Double) - Method in class org.apache.ignite.ml.util.genetic.Chromosome: Deprecated.

Sets the fitness value.
setFitness(Integer, Double) - Method in class org.apache.ignite.ml.util.genetic.Population: Deprecated.

Sets the fitness value for chromosome with the given index.
setFitnessFunction(IFitnessFunction) - Method in class org.apache.ignite.ml.genetic.parameter.GAConfiguration: Deprecated.

Set IFitnessFunction
setFitnessScore(double) - Method in class org.apache.ignite.ml.genetic.Chromosome: Deprecated.

Set the fitnessScore for this chromosome
setGene(int, double) - Method in class org.apache.ignite.ml.util.genetic.Chromosome: Deprecated.

Sets gene value by index.
setGenePool(List<Gene>) - Method in class org.apache.ignite.ml.genetic.parameter.GAConfiguration: Deprecated.

Set the gene pool.
setGenes(long[]) - Method in class org.apache.ignite.ml.genetic.Chromosome: Deprecated.

Set the gene keys (ie: primary keys)
setImpurity(double) - Method in class org.apache.ignite.ml.tree.randomforest.data.TreeNode: Deprecated.
setLabel(L) - Method in class org.apache.ignite.ml.structures.LabeledVector: Deprecated.

Set the label
setLabel(int, double) - Method in class org.apache.ignite.ml.structures.LabeledVectorSet: Deprecated.

Fill the label with given value.
setLocScores(double[]) - Method in class org.apache.ignite.ml.selection.cv.AbstractCrossValidation.TaskResult: Deprecated.
setLog(IgniteLogger) - Method in class org.apache.ignite.ml.FileExporter: Deprecated.
setMaxDepth(int) - Method in class org.apache.ignite.ml.tree.boosting.GDBBinaryClassifierOnTreesTrainer: Deprecated.

Set up the max depth.
setMaxDepth(int) - Method in class org.apache.ignite.ml.tree.boosting.GDBRegressionOnTreesTrainer: Deprecated.

Set up the max depth.
setMdlDescStorageBackups(Integer) - Method in class org.apache.ignite.ml.util.plugin.MLPluginConfiguration: Deprecated.
setMdlStorageBackups(Integer) - Method in class org.apache.ignite.ml.util.plugin.MLPluginConfiguration: Deprecated.
setMeta(FeatureMetadata[]) - Method in class org.apache.ignite.ml.structures.Dataset: Deprecated.
setMinImpurityDecrease(double) - Method in class org.apache.ignite.ml.tree.boosting.GDBBinaryClassifierOnTreesTrainer: Deprecated.

Set up the min impurity decrease.
setMinImpurityDecrease(double) - Method in class org.apache.ignite.ml.tree.boosting.GDBRegressionOnTreesTrainer: Deprecated.

Set up the min impurity decrease.
setMinVal(double) - Method in class org.apache.ignite.ml.dataset.feature.BucketMeta: Deprecated.
setMissingNode(DecisionTreeNode) - Method in class org.apache.ignite.ml.tree.DecisionTreeConditionalNode: Deprecated.
setMutationRate(double) - Method in class org.apache.ignite.ml.genetic.parameter.GAConfiguration: Deprecated.

Set the mutation rate.
setName(String) - Method in class org.apache.ignite.ml.structures.FeatureMetadata: Deprecated.
setParameters(Vector) - Method in class org.apache.ignite.ml.nn.MultilayerPerceptron: Deprecated.

Set parameters.
setParamMap(Map<String, Double>) - Method in class org.apache.ignite.ml.selection.cv.AbstractCrossValidation.TaskResult: Deprecated.
setPopulationSize(int) - Method in class org.apache.ignite.ml.genetic.parameter.GAConfiguration: Deprecated.

Set the population size
setPreviousUpdates(Vector) - Method in class org.apache.ignite.ml.optimization.updatecalculators.NesterovParameterUpdate: Deprecated.

Set previous step parameters updates.
setPriorProbabilities(double[]) - Method in class org.apache.ignite.ml.naivebayes.discrete.DiscreteNaiveBayesTrainer: Deprecated.

Sets prior probabilities.
setPriorProbabilities(double[]) - Method in class org.apache.ignite.ml.naivebayes.gaussian.GaussianNaiveBayesTrainer: Deprecated.

Sets prior probabilities.
setRaw(int, Serializable) - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.

Sets value.
setRaw(int, Serializable) - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingVector: Deprecated.

Sets value.
setRaw(int, Serializable) - Method in class org.apache.ignite.ml.math.primitives.vector.storage.DenseVectorStorage: Deprecated.
setRaw(int, Serializable) - Method in class org.apache.ignite.ml.math.primitives.vector.storage.SparseVectorStorage: Deprecated.
setRaw(int, Serializable) - Method in class org.apache.ignite.ml.math.primitives.vector.storage.VectorizedViewMatrixStorage: Deprecated.
setRaw(int, Serializable) - Method in class org.apache.ignite.ml.math.primitives.vector.storage.VectorViewStorage: Deprecated.
setRaw(Serializable) - Method in interface org.apache.ignite.ml.math.primitives.vector.Vector.Element: Deprecated.

Sets any serializable object value.
setRaw(int, Serializable) - Method in interface org.apache.ignite.ml.math.primitives.vector.Vector: Deprecated.

Sets value.
setRaw(int, Serializable) - Method in interface org.apache.ignite.ml.math.primitives.vector.VectorStorage: Deprecated.
setRawX(int, Serializable) - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.

Sets value without checking for index boundaries.
setRawX(int, Serializable) - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingVector: Deprecated.

Sets value without checking for index boundaries.
setRawX(int, Serializable) - Method in interface org.apache.ignite.ml.math.primitives.vector.Vector: Deprecated.

Sets value without checking for index boundaries.
setRow(int, double[]) - Method in class org.apache.ignite.ml.math.primitives.matrix.AbstractMatrix: Deprecated.

Sets values for given row.
setRow(int, double[]) - Method in interface org.apache.ignite.ml.math.primitives.matrix.Matrix: Deprecated.

Sets values for given row.
setSelectionMtd(GAGridConstants.SELECTION_METHOD) - Method in class org.apache.ignite.ml.genetic.parameter.GAConfiguration: Deprecated.

Set the selection method
setStorage(MatrixStorage) - Method in class org.apache.ignite.ml.math.primitives.matrix.AbstractMatrix: Deprecated.
setStorage(VectorStorage) - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.

Set storage.
setSumOfValues(double) - Method in class org.apache.ignite.ml.tree.randomforest.data.statistics.MeanValueStatistic: Deprecated.
setTerminateCriteria(ITerminateCriteria) - Method in class org.apache.ignite.ml.genetic.parameter.GAConfiguration: Deprecated.

Set the termination criteria.
setThenNode(DecisionTreeNode) - Method in class org.apache.ignite.ml.tree.DecisionTreeConditionalNode: Deprecated.
setTruncateRate(double) - Method in class org.apache.ignite.ml.genetic.parameter.GAConfiguration: Deprecated.

Set truncatePercentage
setU(double[]) - Method in class org.apache.ignite.ml.math.isolve.lsqr.LSQRPartitionContext: Deprecated.
setUpdatesMask(Vector) - Method in class org.apache.ignite.ml.optimization.updatecalculators.RPropParameterUpdate: Deprecated.

Set updates mask (values by which updateCache is multiplied).
setVal(Object) - Method in class org.apache.ignite.ml.genetic.Gene: Deprecated.

Set the Gene value
setVal(double) - Method in class org.apache.ignite.ml.tree.randomforest.data.TreeNode: Deprecated.
setValuesForLeaves(ArrayList<TreeRoot>, Dataset<EmptyContext, BootstrappedDatasetPartition>) - Method in class org.apache.ignite.ml.tree.randomforest.data.statistics.LeafValuesComputer: Deprecated.

Takes a list of all built trees and in one map-reduceImpurityStatistics step collect statistics for evaluating leaf-values for each tree and sets values for leaves.
setWeight(int, int, int, double) - Method in class org.apache.ignite.ml.nn.MultilayerPerceptron: Deprecated.

Set the weight of neuron with given index in previous layer to neuron with given index in given layer.
setWeights(int, Matrix) - Method in class org.apache.ignite.ml.nn.MultilayerPerceptron: Deprecated.

Sets the weighs of layer with a given index.
setWithMdlDescStorage(boolean) - Method in class org.apache.ignite.ml.util.plugin.MLPluginConfiguration: Deprecated.
setWithMdlStorage(boolean) - Method in class org.apache.ignite.ml.util.plugin.MLPluginConfiguration: Deprecated.
setX(int, int, double) - Method in class org.apache.ignite.ml.math.primitives.matrix.AbstractMatrix: Deprecated.

Sets given value without checking for index bounds.
setX(int, int, double) - Method in interface org.apache.ignite.ml.math.primitives.matrix.Matrix: Deprecated.

Sets given value without checking for index bounds.
setX(int, double) - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.

Sets value without checking for index boundaries.
setX(int, double) - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingVector: Deprecated.

Sets value without checking for index boundaries.
setX(int, double) - Method in interface org.apache.ignite.ml.math.primitives.vector.Vector: Deprecated.

Sets value without checking for index boundaries.
SHA256UniformMapper<K,V> - Class in org.apache.ignite.ml.selection.split.mapper: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
SHA256UniformMapper() - Constructor for class org.apache.ignite.ml.selection.split.mapper.SHA256UniformMapper: Deprecated.

Constructs a new instance of SHA-256 uniform mapper.
SHA256UniformMapper(Random) - Constructor for class org.apache.ignite.ml.selection.split.mapper.SHA256UniformMapper: Deprecated.

Constructs a new instance of SHA-256 uniform mapper.
showAscii(Vector, IgniteLogger, String) - Static method in class org.apache.ignite.ml.math.Tracer: Deprecated.
showAscii(Vector, IgniteLogger) - Static method in class org.apache.ignite.ml.math.Tracer: Deprecated.
showAscii(Vector, String) - Static method in class org.apache.ignite.ml.math.Tracer: Deprecated.
showAscii(Matrix) - Static method in class org.apache.ignite.ml.math.Tracer: Deprecated.
showAscii(Matrix, String) - Static method in class org.apache.ignite.ml.math.Tracer: Deprecated.
showAscii(Matrix, IgniteLogger, String) - Static method in class org.apache.ignite.ml.math.Tracer: Deprecated.
showAscii(Vector) - Static method in class org.apache.ignite.ml.math.Tracer: Deprecated.
showClassificationDatasetHtml(DataStreamGenerator, int, int, int, boolean) - Static method in class org.apache.ignite.ml.math.Tracer: Deprecated.

Open browser and shows given dataset generator's data on two dimensional plane.
showClassificationDatasetHtml(String, DataStreamGenerator, int, int, int, boolean) - Static method in class org.apache.ignite.ml.math.Tracer: Deprecated.

Open browser and shows given dataset generator's data on two dimensional plane.
showHtml(Matrix) - Static method in class org.apache.ignite.ml.math.Tracer: Deprecated.

Shows given matrix in the browser with D3-based visualization.
showHtml(Matrix, boolean) - Static method in class org.apache.ignite.ml.math.Tracer: Deprecated.

Shows given matrix in the browser with D3-based visualization.
showHtml(Matrix, Tracer.ColorMapper) - Static method in class org.apache.ignite.ml.math.Tracer: Deprecated.

Shows given matrix in the browser with D3-based visualization.
showHtml(Matrix, Tracer.ColorMapper, boolean) - Static method in class org.apache.ignite.ml.math.Tracer: Deprecated.

Shows given matrix in the browser with D3-based visualization.
showHtml(Vector) - Static method in class org.apache.ignite.ml.math.Tracer: Deprecated.

Shows given vector in the browser with D3-based visualization.
showHtml(Vector, boolean) - Static method in class org.apache.ignite.ml.math.Tracer: Deprecated.

Shows given vector in the browser with D3-based visualization.
showHtml(Vector, Tracer.ColorMapper) - Static method in class org.apache.ignite.ml.math.Tracer: Deprecated.

Shows given vector in the browser with D3-based visualization.
showHtml(Vector, Tracer.ColorMapper, boolean) - Static method in class org.apache.ignite.ml.math.Tracer: Deprecated.

Shows given vector in the browser with D3-based visualization.
showRegressionDatasetInHtml(String, DataStreamGenerator, int, int) - Static method in class org.apache.ignite.ml.math.Tracer: Deprecated.

Open browser and shows given dataset generator's data on two dimensional plane.
showRegressionDatasetInHtml(DataStreamGenerator, int, int) - Static method in class org.apache.ignite.ml.math.Tracer: Deprecated.

Open browser and shows given dataset generator's data on two dimensional plane.
shuffle() - Method in interface org.apache.ignite.ml.util.generators.primitives.vector.VectorGenerator: Deprecated.

Creates a permanent rearrangement mapping of features in vector and applies this rearrangement for each vectors of current generator.
shuffle(Long) - Method in interface org.apache.ignite.ml.util.generators.primitives.vector.VectorGenerator: Deprecated.

Creates a permanent rearrangement mapping of features in vector and applies this rearrangement for each vectors of current generator.
SIGMOID - Static variable in class org.apache.ignite.ml.math.functions.Functions: Deprecated.

Function that returns 1 / (1 + exp(-a)
SIGMOID - Static variable in class org.apache.ignite.ml.nn.Activators: Deprecated.

Sigmoid activation function.
SIGMOIDGRADIENT - Static variable in class org.apache.ignite.ml.math.functions.Functions: Deprecated.

Function that returns a * (1-a)
SIGN - Static variable in class org.apache.ignite.ml.math.functions.Functions: Deprecated.

Function that returns {@code a < 0 ?
SimpleDataset<C extends Serializable> - Class in org.apache.ignite.ml.dataset.primitive: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
SimpleDataset(Dataset<C, SimpleDatasetData>) - Constructor for class org.apache.ignite.ml.dataset.primitive.SimpleDataset: Deprecated.

Creates a new instance of simple dataset that introduces additional methods based on a matrix of features.
SimpleDatasetData - Class in org.apache.ignite.ml.dataset.primitive.data: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
SimpleDatasetData(double[], int) - Constructor for class org.apache.ignite.ml.dataset.primitive.data.SimpleDatasetData: Deprecated.

Constructs a new instance of partition data of the SimpleDataset containing matrix of features in flat column-major format stored in heap.
SimpleDatasetDataBuilder<K,V,C extends Serializable,CO extends Serializable> - Class in org.apache.ignite.ml.dataset.primitive.builder.data: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
SimpleDatasetDataBuilder(Preprocessor<K, V>) - Constructor for class org.apache.ignite.ml.dataset.primitive.builder.data.SimpleDatasetDataBuilder: Deprecated.

Construct a new instance of partition data builder that makes SimpleDatasetData.
SimpleGDParameterUpdate - Class in org.apache.ignite.ml.optimization.updatecalculators: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
SimpleGDParameterUpdate(int) - Constructor for class org.apache.ignite.ml.optimization.updatecalculators.SimpleGDParameterUpdate: Deprecated.

Construct instance of this class.
SimpleGDParameterUpdate(Vector) - Constructor for class org.apache.ignite.ml.optimization.updatecalculators.SimpleGDParameterUpdate: Deprecated.

Construct instance of this class.
SimpleGDUpdateCalculator - Class in org.apache.ignite.ml.optimization.updatecalculators: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
SimpleGDUpdateCalculator() - Constructor for class org.apache.ignite.ml.optimization.updatecalculators.SimpleGDUpdateCalculator: Deprecated.

Construct instance of this class with default parameters.
SimpleGDUpdateCalculator(double) - Constructor for class org.apache.ignite.ml.optimization.updatecalculators.SimpleGDUpdateCalculator: Deprecated.

Construct SimpleGDUpdateCalculator.
SimpleLabeledDataset<C extends Serializable> - Class in org.apache.ignite.ml.dataset.primitive: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
SimpleLabeledDataset(Dataset<C, SimpleLabeledDatasetData>) - Constructor for class org.apache.ignite.ml.dataset.primitive.SimpleLabeledDataset: Deprecated.

Creates a new instance of simple labeled dataset that introduces additional methods based on a matrix of features and labels vector.
SimpleLabeledDatasetData - Class in org.apache.ignite.ml.dataset.primitive.data: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
SimpleLabeledDatasetData(double[], double[], int) - Constructor for class org.apache.ignite.ml.dataset.primitive.data.SimpleLabeledDatasetData: Deprecated.

Constructs a new instance of partition data of the SimpleLabeledDataset containing matrix of features in flat column-major format stored in heap and vector of labels stored in heap as well.
SimpleLabeledDatasetDataBuilder<K,V,C extends Serializable> - Class in org.apache.ignite.ml.dataset.primitive.builder.data: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
SimpleLabeledDatasetDataBuilder(Preprocessor<K, V>) - Constructor for class org.apache.ignite.ml.dataset.primitive.builder.data.SimpleLabeledDatasetDataBuilder: Deprecated.

Constructs a new instance of partition data builder that makes SimpleLabeledDatasetData.
SimpleStackedDatasetTrainer<I,O,AM extends IgniteModel<I,O>,L> - Class in org.apache.ignite.ml.composition.stacking: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
SimpleStackedDatasetTrainer(DatasetTrainer<AM, L>, IgniteBinaryOperator, IgniteFunction<I, I>, IgniteFunction<Vector, I>, IgniteFunction<I, Vector>) - Constructor for class org.apache.ignite.ml.composition.stacking.SimpleStackedDatasetTrainer: Deprecated.

Construct instance of this class.
SimpleStackedDatasetTrainer(DatasetTrainer<AM, L>, IgniteBinaryOperator) - Constructor for class org.apache.ignite.ml.composition.stacking.SimpleStackedDatasetTrainer: Deprecated.

Construct instance of this class.
SimpleStackedDatasetTrainer() - Constructor for class org.apache.ignite.ml.composition.stacking.SimpleStackedDatasetTrainer: Deprecated.

Constructs instance of this class.
SimpleStepFunctionCompressor<T extends ImpurityMeasure<T>> - Class in org.apache.ignite.ml.tree.impurity.util: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
SimpleStepFunctionCompressor() - Constructor for class org.apache.ignite.ml.tree.impurity.util.SimpleStepFunctionCompressor: Deprecated.

Constructs a new instance of simple step function compressor with default parameters.
SimpleStepFunctionCompressor(int, double, double) - Constructor for class org.apache.ignite.ml.tree.impurity.util.SimpleStepFunctionCompressor: Deprecated.

Constructs a new instance of simple step function compressor.
SingleLabelDatasetTrainer<M extends IgniteModel> - Class in org.apache.ignite.ml.trainers: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
SingleLabelDatasetTrainer() - Constructor for class org.apache.ignite.ml.trainers.SingleLabelDatasetTrainer: Deprecated.
SingleModelBuilder - Class in org.apache.ignite.ml.inference.builder: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
SingleModelBuilder() - Constructor for class org.apache.ignite.ml.inference.builder.SingleModelBuilder: Deprecated.
SingularMatrixException - Exception in org.apache.ignite.ml.math.exceptions: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
SingularMatrixException() - Constructor for exception org.apache.ignite.ml.math.exceptions.SingularMatrixException: Deprecated.
SingularMatrixException(String, Object...) - Constructor for exception org.apache.ignite.ml.math.exceptions.SingularMatrixException: Deprecated.
size() - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.

Gets cardinality of this vector (maximum number of the elements).
size() - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingVector: Deprecated.

Gets cardinality of this vector (maximum number of the elements).
size() - Method in class org.apache.ignite.ml.math.primitives.vector.storage.DenseVectorStorage: Deprecated.
size() - Method in class org.apache.ignite.ml.math.primitives.vector.storage.SparseVectorStorage: Deprecated.
size() - Method in class org.apache.ignite.ml.math.primitives.vector.storage.VectorizedViewMatrixStorage: Deprecated.
size() - Method in class org.apache.ignite.ml.math.primitives.vector.storage.VectorViewStorage: Deprecated.
size() - Method in interface org.apache.ignite.ml.math.primitives.vector.Vector: Deprecated.

Gets cardinality of this vector (maximum number of the elements).
size() - Method in interface org.apache.ignite.ml.math.primitives.vector.VectorStorage: Deprecated.
size() - Method in class org.apache.ignite.ml.structures.DatasetRow: Deprecated.

Gets cardinality of dataset row (maximum number of the elements).
size() - Method in class org.apache.ignite.ml.util.generators.primitives.scalar.DiscreteRandomProducer: Deprecated.
size() - Method in class org.apache.ignite.ml.util.genetic.Chromosome: Deprecated.

Returns the amount of genes in chromosome.
size() - Method in class org.apache.ignite.ml.util.genetic.Population: Deprecated.

Returns the size of population.
sizeOf(K, V) - Method in class org.apache.ignite.ml.dataset.feature.extractor.ExtractionUtils.ArrayLikeVectorizer: Deprecated.

Size of array-like structure of upstream object.
sizeOf(K, double[]) - Method in class org.apache.ignite.ml.dataset.feature.extractor.impl.DoubleArrayVectorizer: Deprecated.

Size of array-like structure of upstream object.
sizeOf(K, Vector) - Method in class org.apache.ignite.ml.dataset.feature.extractor.impl.DummyVectorizer: Deprecated.

Size of array-like structure of upstream object.
SmoothParametrized<M extends Parametrized<M>> - Interface in org.apache.ignite.ml.optimization: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
solve(double, double, double, double, double, boolean, double[]) - Method in class org.apache.ignite.ml.math.isolve.lsqr.AbstractLSQR: Deprecated.

Solves given Sparse Linear Systems.
solve(Vector) - Method in class org.apache.ignite.ml.math.primitives.matrix.LUDecomposition: Deprecated.
solve(Matrix) - Method in class org.apache.ignite.ml.math.primitives.matrix.LUDecomposition: Deprecated.
sort() - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.

Sorts this vector in ascending order.
sort() - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingVector: Deprecated.

Sorts this vector in ascending order.
sort() - Method in interface org.apache.ignite.ml.math.primitives.vector.Vector: Deprecated.

Sorts this vector in ascending order.
sort(int) - Method in class org.apache.ignite.ml.tree.data.DecisionTreeData: Deprecated.

Sorts data by specified column in ascending order.
SparseMatrix - Class in org.apache.ignite.ml.math.primitives.matrix.impl: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
SparseMatrix() - Constructor for class org.apache.ignite.ml.math.primitives.matrix.impl.SparseMatrix: Deprecated.
SparseMatrix(int, int) - Constructor for class org.apache.ignite.ml.math.primitives.matrix.impl.SparseMatrix: Deprecated.

Construct new SparseMatrix.
SparseMatrixStorage - Class in org.apache.ignite.ml.math.primitives.matrix.storage: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
SparseMatrixStorage() - Constructor for class org.apache.ignite.ml.math.primitives.matrix.storage.SparseMatrixStorage: Deprecated.
SparseMatrixStorage(int, int, int, int) - Constructor for class org.apache.ignite.ml.math.primitives.matrix.storage.SparseMatrixStorage: Deprecated.
SparseVector - Class in org.apache.ignite.ml.math.primitives.vector.impl: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
SparseVector() - Constructor for class org.apache.ignite.ml.math.primitives.vector.impl.SparseVector: Deprecated.
SparseVector(Map<Integer, Double>, boolean) - Constructor for class org.apache.ignite.ml.math.primitives.vector.impl.SparseVector: Deprecated.
SparseVector(int) - Constructor for class org.apache.ignite.ml.math.primitives.vector.impl.SparseVector: Deprecated.
SparseVectorStorage - Class in org.apache.ignite.ml.math.primitives.vector.storage: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
SparseVectorStorage() - Constructor for class org.apache.ignite.ml.math.primitives.vector.storage.SparseVectorStorage: Deprecated.
SparseVectorStorage(Map<Integer, ? extends Serializable>, boolean) - Constructor for class org.apache.ignite.ml.math.primitives.vector.storage.SparseVectorStorage: Deprecated.
SparseVectorStorage(int) - Constructor for class org.apache.ignite.ml.math.primitives.vector.storage.SparseVectorStorage: Deprecated.
SpatialIndex<L> - Interface in org.apache.ignite.ml.knn.utils.indices: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
SpatialIndexType - Enum in org.apache.ignite.ml.knn.utils.indices: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
specificity() - Method in class org.apache.ignite.ml.selection.scoring.metric.classification.BinaryClassificationMetricValues: Deprecated.

Returns Specificity (SPC) or True Negative Rate (TNR).
split(double) - Method in class org.apache.ignite.ml.selection.split.TrainTestDatasetSplitter: Deprecated.

Splits dataset into train and test subsets.
split(double, double) - Method in class org.apache.ignite.ml.selection.split.TrainTestDatasetSplitter: Deprecated.

Splits dataset into train and test subsets.
split(TreeNode) - Method in class org.apache.ignite.ml.tree.randomforest.data.NodeSplit: Deprecated.

Split node from parameter onto two children nodes.
spr(Double, DenseVector, DenseVector) - Static method in class org.apache.ignite.ml.math.Blas: Deprecated.

Adds alpha * v * v.t to a matrix in-place.
spr(Double, SparseVector, DenseVector) - Static method in class org.apache.ignite.ml.math.Blas: Deprecated.
SqlDatasetBuilder - Class in org.apache.ignite.ml.sql: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
SqlDatasetBuilder(Ignite, String) - Constructor for class org.apache.ignite.ml.sql.SqlDatasetBuilder: Deprecated.

Constructs a new instance of cache based dataset builder that makes CacheBasedDataset with default predicate that passes all upstream entries to dataset.
SqlDatasetBuilder(Ignite, String, IgniteBiPredicate<Object, BinaryObject>) - Constructor for class org.apache.ignite.ml.sql.SqlDatasetBuilder: Deprecated.

Constructs a new instance of cache based dataset builder that makes CacheBasedDataset.
SqlDatasetBuilder(Ignite, String, IgniteBiPredicate<Object, BinaryObject>, UpstreamTransformerBuilder) - Constructor for class org.apache.ignite.ml.sql.SqlDatasetBuilder: Deprecated.

Constructs a new instance of cache based dataset builder that makes CacheBasedDataset.
SQLFunctions - Class in org.apache.ignite.ml.sql: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
SQLFunctions() - Constructor for class org.apache.ignite.ml.sql.SQLFunctions: Deprecated.
SQRT - Static variable in class org.apache.ignite.ml.tree.randomforest.data.FeaturesCountSelectionStrategies: Deprecated.
SQUARE - Static variable in class org.apache.ignite.ml.math.functions.Functions: Deprecated.

Function that returns a * a.
SquaredError - Class in org.apache.ignite.ml.composition.boosting.loss: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
SquaredError() - Constructor for class org.apache.ignite.ml.composition.boosting.loss.SquaredError: Deprecated.
StackedDatasetTrainer<IS,IA,O,AM extends IgniteModel<IA,O>,L> - Class in org.apache.ignite.ml.composition.stacking: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
StackedDatasetTrainer(DatasetTrainer<AM, L>, IgniteBinaryOperator<IA>, IgniteFunction<IS, IA>, List<DatasetTrainer<IgniteModel<IS, IA>, L>>, IgniteFunction<Vector, IS>, IgniteFunction<IA, Vector>) - Constructor for class org.apache.ignite.ml.composition.stacking.StackedDatasetTrainer: Deprecated.

Create instance of this class.
StackedDatasetTrainer(DatasetTrainer<AM, L>, IgniteBinaryOperator<IA>, IgniteFunction<IS, IA>) - Constructor for class org.apache.ignite.ml.composition.stacking.StackedDatasetTrainer: Deprecated.

Constructs instance of this class.
StackedDatasetTrainer() - Constructor for class org.apache.ignite.ml.composition.stacking.StackedDatasetTrainer: Deprecated.

Constructs instance of this class.
StackedModel<IS,IA,O,AM extends IgniteModel<IA,O>> - Class in org.apache.ignite.ml.composition.stacking: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
StackedVectorDatasetTrainer<O,AM extends IgniteModel<Vector,O>,L> - Class in org.apache.ignite.ml.composition.stacking: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
StackedVectorDatasetTrainer(DatasetTrainer<AM, L>) - Constructor for class org.apache.ignite.ml.composition.stacking.StackedVectorDatasetTrainer: Deprecated.

Constructs instance of this class.
StackedVectorDatasetTrainer() - Constructor for class org.apache.ignite.ml.composition.stacking.StackedVectorDatasetTrainer: Deprecated.

Constructs instance of this class.
StandardScalerData - Class in org.apache.ignite.ml.preprocessing.standardscaling: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
StandardScalerData(double[], double[], long) - Constructor for class org.apache.ignite.ml.preprocessing.standardscaling.StandardScalerData: Deprecated.

Creates StandardScalerData.
StandardScalerPreprocessor<K,V> - Class in org.apache.ignite.ml.preprocessing.standardscaling: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
StandardScalerPreprocessor(double[], double[], Preprocessor<K, V>) - Constructor for class org.apache.ignite.ml.preprocessing.standardscaling.StandardScalerPreprocessor: Deprecated.

Constructs a new instance of standardscaling preprocessor.
StandardScalerTrainer<K,V> - Class in org.apache.ignite.ml.preprocessing.standardscaling: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
StandardScalerTrainer() - Constructor for class org.apache.ignite.ml.preprocessing.standardscaling.StandardScalerTrainer: Deprecated.
start(PluginContext) - Method in class org.apache.ignite.ml.util.plugin.MLPluginProvider: Deprecated.
std() - Method in class org.apache.ignite.ml.dataset.primitive.SimpleDataset: Deprecated.

Calculates standard deviation by all columns.
std() - Method in class org.apache.ignite.ml.tree.randomforest.data.statistics.NormalDistributionStatistics: Deprecated.
StepFunction<T extends ImpurityMeasure<T>> - Class in org.apache.ignite.ml.tree.impurity.util: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
StepFunction(double[], T[]) - Constructor for class org.apache.ignite.ml.tree.impurity.util.StepFunction: Deprecated.

Constructs a new instance of step function.
StepFunctionCompressor<T extends ImpurityMeasure<T>> - Interface in org.apache.ignite.ml.tree.impurity.util: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
stop(boolean) - Method in class org.apache.ignite.ml.util.plugin.MLPluginProvider: Deprecated.
StorageConstants - Interface in org.apache.ignite.ml.math: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
storageGet(int, int) - Method in class org.apache.ignite.ml.math.primitives.matrix.AbstractMatrix: Deprecated.
storageGet(int) - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.
storageGetRaw(int) - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.

Gets serializable value from storage and casts it to targe type T.
storageMode() - Method in interface org.apache.ignite.ml.math.primitives.matrix.MatrixStorage: Deprecated.
storageMode() - Method in class org.apache.ignite.ml.math.primitives.matrix.storage.DenseMatrixStorage: Deprecated.
storageMode() - Method in class org.apache.ignite.ml.math.primitives.matrix.storage.SparseMatrixStorage: Deprecated.
storageMode() - Method in class org.apache.ignite.ml.math.primitives.matrix.storage.ViewMatrixStorage: Deprecated.
StorageOpsMetrics - Interface in org.apache.ignite.ml.math: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
storageSet(int, int, double) - Method in class org.apache.ignite.ml.math.primitives.matrix.AbstractMatrix: Deprecated.
storageSet(int, double) - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.
storageSetRaw(int, Serializable) - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.

Sets serializable value.
StringCoordVectorizer(String...) - Constructor for class org.apache.ignite.ml.dataset.feature.extractor.ExtractionUtils.StringCoordVectorizer: Deprecated.

Creates an instance of Vectorizer.
StringEncoderPreprocessor<K,V> - Class in org.apache.ignite.ml.preprocessing.encoding.stringencoder: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
StringEncoderPreprocessor(Map<String, Integer>[], Preprocessor<K, V>, Set<Integer>) - Constructor for class org.apache.ignite.ml.preprocessing.encoding.stringencoder.StringEncoderPreprocessor: Deprecated.

Constructs a new instance of String Encoder preprocessor.
Stub(T) - Constructor for class org.apache.ignite.ml.environment.parallelism.NoParallelismStrategy.Stub: Deprecated.

Create an instance of Stub
submit(IgniteSupplier<T>) - Method in class org.apache.ignite.ml.environment.parallelism.DefaultParallelismStrategy: Deprecated.

Submit task.
submit(IgniteSupplier<T>) - Method in class org.apache.ignite.ml.environment.parallelism.NoParallelismStrategy: Deprecated.

Submit task.
submit(IgniteSupplier<T>) - Method in interface org.apache.ignite.ml.environment.parallelism.ParallelismStrategy: Deprecated.

Submit task.
submit(List<IgniteSupplier<T>>) - Method in interface org.apache.ignite.ml.environment.parallelism.ParallelismStrategy: Deprecated.

Submit the list of tasks.
submodels() - Method in class org.apache.ignite.ml.composition.combinators.parallel.ModelsParallelComposition: Deprecated.

List of submodels constituting this model.
subtract(GiniImpurityMeasure) - Method in class org.apache.ignite.ml.tree.impurity.gini.GiniImpurityMeasure: Deprecated.

Subtracts the given impurity for this.
subtract(T) - Method in interface org.apache.ignite.ml.tree.impurity.ImpurityMeasure: Deprecated.

Subtracts the given impurity for this.
subtract(MSEImpurityMeasure) - Method in class org.apache.ignite.ml.tree.impurity.mse.MSEImpurityMeasure: Deprecated.

Subtracts the given impurity for this.
sum() - Method in class org.apache.ignite.ml.math.primitives.matrix.AbstractMatrix: Deprecated.

Gets sum of all elements in the matrix.
sum() - Method in interface org.apache.ignite.ml.math.primitives.matrix.Matrix: Deprecated.

Gets sum of all elements in the matrix.
sum() - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.

Gets the sum of all elements in this vector.
sum() - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingVector: Deprecated.

Gets the sum of all elements in this vector.
sum() - Method in interface org.apache.ignite.ml.math.primitives.vector.Vector: Deprecated.

Gets the sum of all elements in this vector.
sum(List<NesterovParameterUpdate>) - Static method in class org.apache.ignite.ml.optimization.updatecalculators.NesterovParameterUpdate: Deprecated.

Get sum of parameters updates.
SUM - Static variable in class org.apache.ignite.ml.optimization.updatecalculators.RPropParameterUpdate: Deprecated.

Sums updates returned by different trainings.
SUM_LOCAL - Static variable in class org.apache.ignite.ml.optimization.updatecalculators.RPropParameterUpdate: Deprecated.

Sums updates during one training.
SUM_LOCAL - Static variable in class org.apache.ignite.ml.optimization.updatecalculators.SimpleGDParameterUpdate: Deprecated.

Method used to get total update of all parallel trainings.
sums() - Method in class org.apache.ignite.ml.preprocessing.imputing.ImputerPartitionData: Deprecated.

Gets the array of sums of values in partition for each feature in the dataset.
SVMLinearClassificationModel - Class in org.apache.ignite.ml.svm: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
SVMLinearClassificationModel(Vector, double) - Constructor for class org.apache.ignite.ml.svm.SVMLinearClassificationModel: Deprecated.
SVMLinearClassificationTrainer - Class in org.apache.ignite.ml.svm: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
SVMLinearClassificationTrainer() - Constructor for class org.apache.ignite.ml.svm.SVMLinearClassificationTrainer: Deprecated.
swapColumns(int, int) - Method in class org.apache.ignite.ml.math.primitives.matrix.AbstractMatrix: Deprecated.

Swaps two columns in this matrix.
swapColumns(int, int) - Method in interface org.apache.ignite.ml.math.primitives.matrix.Matrix: Deprecated.

Swaps two columns in this matrix.
swapRows(int, int) - Method in class org.apache.ignite.ml.math.primitives.matrix.AbstractMatrix: Deprecated.

Swaps two rows in this matrix.
swapRows(int, int) - Method in interface org.apache.ignite.ml.math.primitives.matrix.Matrix: Deprecated.

Swaps two rows in this matrix.
SyncModelBuilder - Interface in org.apache.ignite.ml.inference.builder: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
syr(Double, SparseVector, DenseMatrix) - Static method in class org.apache.ignite.ml.math.Blas: Deprecated.

T

TaskResult(Map<String, Double>, double[]) - Constructor for class org.apache.ignite.ml.selection.cv.AbstractCrossValidation.TaskResult: Deprecated.
test() - Method in class org.apache.ignite.ml.structures.LabeledVectorSetTestTrainPair: Deprecated.

Test subset of the whole dataset.
ThreadedModelBuilder - Class in org.apache.ignite.ml.inference.builder: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
ThreadedModelBuilder(int) - Constructor for class org.apache.ignite.ml.inference.builder.ThreadedModelBuilder: Deprecated.

Constructs a new instance of threaded inference model builder.
threshold() - Method in class org.apache.ignite.ml.regressions.logistic.LogisticRegressionModel: Deprecated.

Gets the threshold.
threshold() - Method in class org.apache.ignite.ml.svm.SVMLinearClassificationModel: Deprecated.

Gets the threshold.
times(double) - Method in class org.apache.ignite.ml.math.primitives.matrix.AbstractMatrix: Deprecated.

Creates new matrix containing the product of given value and values in this matrix.
times(Vector) - Method in class org.apache.ignite.ml.math.primitives.matrix.AbstractMatrix: Deprecated.

Creates new matrix that is the product of multiplying this matrix and the argument vector.
times(Matrix) - Method in class org.apache.ignite.ml.math.primitives.matrix.AbstractMatrix: Deprecated.

Creates new matrix that is the product of multiplying this matrix and the argument matrix.
times(double) - Method in interface org.apache.ignite.ml.math.primitives.matrix.Matrix: Deprecated.

Creates new matrix containing the product of given value and values in this matrix.
times(Matrix) - Method in interface org.apache.ignite.ml.math.primitives.matrix.Matrix: Deprecated.

Creates new matrix that is the product of multiplying this matrix and the argument matrix.
times(Vector) - Method in interface org.apache.ignite.ml.math.primitives.matrix.Matrix: Deprecated.

Creates new matrix that is the product of multiplying this matrix and the argument vector.
times(double) - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.

Gets a new vector that contains product of each element and the argument.
times(Vector) - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.

Gets a new vector that is an element-wie product of this vector and the argument.
times(double) - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingVector: Deprecated.

Gets a new vector that contains product of each element and the argument.
times(Vector) - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingVector: Deprecated.

Gets a new vector that is an element-wie product of this vector and the argument.
times(double) - Method in class org.apache.ignite.ml.math.primitives.vector.impl.SparseVector: Deprecated.

Gets a new vector that contains product of each element and the argument.
times(double) - Method in interface org.apache.ignite.ml.math.primitives.vector.Vector: Deprecated.

Gets a new vector that contains product of each element and the argument.
times(Vector) - Method in interface org.apache.ignite.ml.math.primitives.vector.Vector: Deprecated.

Gets a new vector that is an element-wie product of this vector and the argument.
tn() - Method in class org.apache.ignite.ml.selection.scoring.metric.classification.BinaryClassificationMetricValues: Deprecated.
toConditional(int, double) - Method in class org.apache.ignite.ml.tree.randomforest.data.TreeNode: Deprecated.

Convert node to conditional node.
toDoubleArray() - Method in class org.apache.ignite.ml.util.genetic.Chromosome: Deprecated.

Returns the double array chromosome representation.
toLeaf(double) - Method in class org.apache.ignite.ml.tree.randomforest.data.TreeNode: Deprecated.

Convert node to leaf.
toMap() - Method in interface org.apache.ignite.ml.selection.scoring.metric.MetricValues: Deprecated.

Returns the pair of metric name and metric value.
toMatrix(boolean) - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.

Converts this vector into [N x 1] or [1 x N] matrix where N is this vector cardinality.
toMatrix(boolean) - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingVector: Deprecated.

Converts this vector into [N x 1] or [1 x N] matrix where N is this vector cardinality.
toMatrix(boolean) - Method in interface org.apache.ignite.ml.math.primitives.vector.Vector: Deprecated.

Converts this vector into [N x 1] or [1 x N] matrix where N is this vector cardinality.
toMatrixPlusOne(boolean, double) - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.

Converts this vector into [N+1 x 1] or [1 x N+1] matrix where N is this vector cardinality
toMatrixPlusOne(boolean, double) - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingVector: Deprecated.

Converts this vector into [N+1 x 1] or [1 x N+1] matrix where N is this vector cardinality
toMatrixPlusOne(boolean, double) - Method in interface org.apache.ignite.ml.math.primitives.vector.Vector: Deprecated.

Converts this vector into [N+1 x 1] or [1 x N+1] matrix where N is this vector cardinality
toString() - Method in class org.apache.ignite.ml.clustering.kmeans.KMeansModel: Deprecated.
toString(boolean) - Method in class org.apache.ignite.ml.clustering.kmeans.KMeansModel: Deprecated.
toString() - Method in class org.apache.ignite.ml.composition.ModelOnFeaturesSubspace: Deprecated.
toString(boolean) - Method in class org.apache.ignite.ml.composition.ModelOnFeaturesSubspace: Deprecated.
toString() - Method in class org.apache.ignite.ml.composition.ModelsComposition: Deprecated.
toString(boolean) - Method in class org.apache.ignite.ml.composition.ModelsComposition: Deprecated.
toString(boolean) - Method in interface org.apache.ignite.ml.composition.predictionsaggregator.PredictionsAggregator: Deprecated.

Represents aggregator as String.
toString() - Method in class org.apache.ignite.ml.composition.predictionsaggregator.WeightedPredictionsAggregator: Deprecated.
toString(boolean) - Method in class org.apache.ignite.ml.composition.predictionsaggregator.WeightedPredictionsAggregator: Deprecated.

Represents aggregator as String.
toString() - Method in class org.apache.ignite.ml.genetic.Chromosome: Deprecated.
toString() - Method in class org.apache.ignite.ml.genetic.Gene: Deprecated.
toString(boolean) - Method in interface org.apache.ignite.ml.IgniteModel: Deprecated.
toString() - Method in class org.apache.ignite.ml.inference.ModelDescriptor: Deprecated.
toString() - Method in class org.apache.ignite.ml.knn.ann.ANNClassificationModel: Deprecated.
toString(boolean) - Method in class org.apache.ignite.ml.knn.ann.ANNClassificationModel: Deprecated.
toString() - Method in class org.apache.ignite.ml.knn.NNClassificationModel: Deprecated.
toString(boolean) - Method in class org.apache.ignite.ml.knn.NNClassificationModel: Deprecated.
toString() - Method in class org.apache.ignite.ml.math.isolve.IterativeSolverResult: Deprecated.
toString() - Method in class org.apache.ignite.ml.math.isolve.lsqr.LSQRResult: Deprecated.
toString() - Method in class org.apache.ignite.ml.math.primitives.matrix.AbstractMatrix: Deprecated.
toString() - Method in class org.apache.ignite.ml.multiclass.MultiClassModel: Deprecated.
toString(boolean) - Method in class org.apache.ignite.ml.multiclass.MultiClassModel: Deprecated.
toString() - Method in class org.apache.ignite.ml.nn.MultilayerPerceptron: Deprecated.
toString(boolean) - Method in class org.apache.ignite.ml.nn.MultilayerPerceptron: Deprecated.
toString() - Method in class org.apache.ignite.ml.pipeline.PipelineMdl: Deprecated.
toString() - Method in class org.apache.ignite.ml.regressions.linear.LinearRegressionModel: Deprecated.
toString(boolean) - Method in class org.apache.ignite.ml.regressions.linear.LinearRegressionModel: Deprecated.
toString() - Method in class org.apache.ignite.ml.regressions.logistic.LogisticRegressionModel: Deprecated.
toString(boolean) - Method in class org.apache.ignite.ml.regressions.logistic.LogisticRegressionModel: Deprecated.
toString() - Method in class org.apache.ignite.ml.selection.cv.CrossValidationResult: Deprecated.
toString() - Method in class org.apache.ignite.ml.svm.SVMLinearClassificationModel: Deprecated.
toString(boolean) - Method in class org.apache.ignite.ml.svm.SVMLinearClassificationModel: Deprecated.
toString() - Method in class org.apache.ignite.ml.tree.DecisionTreeConditionalNode: Deprecated.
toString(boolean) - Method in class org.apache.ignite.ml.tree.DecisionTreeConditionalNode: Deprecated.
toString() - Method in class org.apache.ignite.ml.tree.DecisionTreeLeafNode: Deprecated.
toString(boolean) - Method in class org.apache.ignite.ml.tree.DecisionTreeLeafNode: Deprecated.
toString() - Method in class org.apache.ignite.ml.util.ModelTrace: Deprecated.
TotalCostAndCounts() - Constructor for class org.apache.ignite.ml.clustering.kmeans.KMeansTrainer.TotalCostAndCounts: Deprecated.
totalRowCount() - Method in class org.apache.ignite.ml.clustering.gmm.NewComponentStatisticsAggregator: Deprecated.
tp() - Method in class org.apache.ignite.ml.selection.scoring.metric.classification.BinaryClassificationMetricValues: Deprecated.
Tracer - Class in org.apache.ignite.ml.math: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
Tracer() - Constructor for class org.apache.ignite.ml.math.Tracer: Deprecated.
Tracer.ColorMapper - Interface in org.apache.ignite.ml.math: Deprecated.

Double to color mapper.
train() - Method in class org.apache.ignite.ml.structures.LabeledVectorSetTestTrainPair: Deprecated.

Train subset of the whole dataset.
trainer - Variable in class org.apache.ignite.ml.selection.cv.AbstractCrossValidation: Deprecated.

Trainer.
trainerEnvironment - Variable in class org.apache.ignite.ml.composition.boosting.GDBLearningStrategy: Deprecated.

Learning environment used for trainer.
TrainersParallelComposition<I,O,L> - Class in org.apache.ignite.ml.composition.combinators.parallel: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
TrainersParallelComposition(List<T>) - Constructor for class org.apache.ignite.ml.composition.combinators.parallel.TrainersParallelComposition: Deprecated.

Construct an instance of this class from a list of trainers.
TrainersSequentialComposition<I,O1,O2,L> - Class in org.apache.ignite.ml.composition.combinators.sequential: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
TrainersSequentialComposition(DatasetTrainer<? extends IgniteModel<I, O1>, L>, DatasetTrainer<? extends IgniteModel<O1, O2>, L>, IgniteFunction<? super IgniteModel<I, O1>, IgniteFunction<LabeledVector<L>, LabeledVector<L>>>) - Constructor for class org.apache.ignite.ml.composition.combinators.sequential.TrainersSequentialComposition: Deprecated.

Construct sequential composition of given two trainers.
TrainersSequentialComposition(DatasetTrainer<? extends IgniteModel<I, O1>, L>, DatasetTrainer<? extends IgniteModel<O1, O2>, L>, IgniteBiFunction<Integer, ? super IgniteModel<I, O1>, IgniteFunction<LabeledVector<L>, LabeledVector<L>>>) - Constructor for class org.apache.ignite.ml.composition.combinators.sequential.TrainersSequentialComposition: Deprecated.

Create sequential composition of two trainers.
TrainerTransformers - Class in org.apache.ignite.ml.trainers: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
TrainerTransformers() - Constructor for class org.apache.ignite.ml.trainers.TrainerTransformers: Deprecated.
TrainTestDatasetSplitter<K,V> - Class in org.apache.ignite.ml.selection.split: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
TrainTestDatasetSplitter() - Constructor for class org.apache.ignite.ml.selection.split.TrainTestDatasetSplitter: Deprecated.

Constructs a new instance of train test dataset splitter.
TrainTestDatasetSplitter(UniformMapper<K, V>) - Constructor for class org.apache.ignite.ml.selection.split.TrainTestDatasetSplitter: Deprecated.

Constructs a new instance of train test dataset splitter.
TrainTestSplit<K,V> - Class in org.apache.ignite.ml.selection.split: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
TrainTestSplit(IgniteBiPredicate<K, V>, IgniteBiPredicate<K, V>) - Constructor for class org.apache.ignite.ml.selection.split.TrainTestSplit: Deprecated.

Constructs a new instance of train test split.
transfomToListOrdered(Queue<PointWithDistance<L>>) - Static method in class org.apache.ignite.ml.knn.utils.PointWithDistanceUtil: Deprecated.

Util method that transforms collection of PointWithDistance to array of LabeledVector.
transform(Stream<UpstreamEntry>) - Method in interface org.apache.ignite.ml.dataset.UpstreamTransformer: Deprecated.

Transform upstream.
transform(Stream<UpstreamEntry>) - Method in class org.apache.ignite.ml.trainers.transformers.BaggingUpstreamTransformer: Deprecated.

Transform upstream.
transformationLayerArchitecture(int) - Method in class org.apache.ignite.ml.nn.architecture.MLPArchitecture: Deprecated.

Get architecture of transformation layer (i.e. non-input layer) with given index.
TransformationLayerArchitecture - Class in org.apache.ignite.ml.nn.architecture: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
TransformationLayerArchitecture(int, boolean, IgniteDifferentiableDoubleToDoubleFunction) - Constructor for class org.apache.ignite.ml.nn.architecture.TransformationLayerArchitecture: Deprecated.

Construct TransformationLayerArchitecture.
transpose() - Method in class org.apache.ignite.ml.math.primitives.matrix.AbstractMatrix: Deprecated.

Creates new matrix that is transpose of this matrix.
transpose() - Method in interface org.apache.ignite.ml.math.primitives.matrix.Matrix: Deprecated.

Creates new matrix that is transpose of this matrix.
TreeDataIndex - Class in org.apache.ignite.ml.tree.data: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
TreeDataIndex(double[][], double[]) - Constructor for class org.apache.ignite.ml.tree.data.TreeDataIndex: Deprecated.

Constructs an instance of TreeDataIndex.
TreeFilter - Interface in org.apache.ignite.ml.tree: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
treeId() - Method in class org.apache.ignite.ml.tree.randomforest.data.NodeId: Deprecated.
TreeNode - Class in org.apache.ignite.ml.tree.randomforest.data: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
TreeNode(long, int) - Constructor for class org.apache.ignite.ml.tree.randomforest.data.TreeNode: Deprecated.

Create an instance of TreeNode.
TreeNode.Type - Enum in org.apache.ignite.ml.tree.randomforest.data: Deprecated.

Type of node.
TreeRoot - Class in org.apache.ignite.ml.tree.randomforest.data: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
TreeRoot(TreeNode, Set<Integer>) - Constructor for class org.apache.ignite.ml.tree.randomforest.data.TreeRoot: Deprecated.

Create an instance of TreeRoot.
TruncateSelectionJob - Class in org.apache.ignite.ml.genetic: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
TruncateSelectionJob(Long, List<Long>) - Constructor for class org.apache.ignite.ml.genetic.TruncateSelectionJob: Deprecated.
TruncateSelectionTask - Class in org.apache.ignite.ml.genetic: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
TruncateSelectionTask(List<Long>, int) - Constructor for class org.apache.ignite.ml.genetic.TruncateSelectionTask: Deprecated.
tryToAddIntoHeap(Queue<PointWithDistance<L>>, int, LabeledVector<L>, double) - Static method in class org.apache.ignite.ml.knn.utils.PointWithDistanceUtil: Deprecated.

Util method that adds data point into heap if it fits (if heap size is less than k or a distance from taget point to data point is less than a distance from target point to the most distant data point in heap).
tryToAddIntoHeap(Queue<PointWithDistance<L>>, int, Vector, List<LabeledVector<L>>, DistanceMeasure) - Static method in class org.apache.ignite.ml.knn.utils.PointWithDistanceUtil: Deprecated.

Util method that adds data points into heap if they fits (if heap size is less than k or a distance from taget point to data point is less than a distance from target point to the most distant data point in heap).
tuneHyperParamterers() - Method in class org.apache.ignite.ml.selection.cv.AbstractCrossValidation: Deprecated.

Finds the best set of hyperparameters based on parameter search strategy.
twoDimensional(IgniteFunction<Double, Double>, double, double) - Static method in class org.apache.ignite.ml.util.generators.standard.RegressionDataStream: Deprecated.

Creates two dimensional regression data stream.
twoDimensional(IgniteFunction<Double, Double>, double, double, long) - Static method in class org.apache.ignite.ml.util.generators.standard.RegressionDataStream: Deprecated.

Creates two dimensional regression data stream.
TwoSeparableClassesDataStream - Class in org.apache.ignite.ml.util.generators.standard: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
TwoSeparableClassesDataStream(double, double) - Constructor for class org.apache.ignite.ml.util.generators.standard.TwoSeparableClassesDataStream: Deprecated.

Create an instance of TwoSeparableClassesDataStream.
TwoSeparableClassesDataStream(double, double, long) - Constructor for class org.apache.ignite.ml.util.generators.standard.TwoSeparableClassesDataStream: Deprecated.

Create an instance of TwoSeparableClassesDataStream.

U

unflatten(double[], int, int) - Static method in class org.apache.ignite.ml.math.util.MatrixUtil: Deprecated.
unflatten(double[], Matrix) - Static method in class org.apache.ignite.ml.math.util.MatrixUtil: Deprecated.
uniform(int) - Static method in class org.apache.ignite.ml.util.generators.primitives.scalar.DiscreteRandomProducer: Deprecated.

Creates a producer of random values from uniform discrete distribution.
uniform(int, long) - Static method in class org.apache.ignite.ml.util.generators.primitives.scalar.DiscreteRandomProducer: Deprecated.

Creates a producer of random values from uniform discrete distribution.
UniformMapper<K,V> - Interface in org.apache.ignite.ml.selection.split.mapper: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
UniformRandomProducer - Class in org.apache.ignite.ml.util.generators.primitives.scalar: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
UniformRandomProducer(double, double) - Constructor for class org.apache.ignite.ml.util.generators.primitives.scalar.UniformRandomProducer: Deprecated.

Creates an instance of UniformRandomProducer.
UniformRandomProducer(double, double, long) - Constructor for class org.apache.ignite.ml.util.generators.primitives.scalar.UniformRandomProducer: Deprecated.

Creates an instance of UniformRandomProducer.
unitialized() - Static method in interface org.apache.ignite.ml.environment.deploy.DeployingContext: Deprecated.
UNKNOWN_STORAGE_MODE - Static variable in interface org.apache.ignite.ml.math.StorageConstants: Deprecated.

Storage mode is unknown.
UnknownCategorialFeatureValue - Exception in org.apache.ignite.ml.math.exceptions.preprocessing: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
UnknownCategorialFeatureValue(String) - Constructor for exception org.apache.ignite.ml.math.exceptions.preprocessing.UnknownCategorialFeatureValue: Deprecated.
UnknownClassLabelException - Exception in org.apache.ignite.ml.selection.scoring.metric.exceptions: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
UnknownClassLabelException(double, double, double) - Constructor for exception org.apache.ignite.ml.selection.scoring.metric.exceptions.UnknownClassLabelException: Deprecated.
unlabeled() - Method in interface org.apache.ignite.ml.util.generators.DataStreamGenerator: Deprecated.
unsafeCoerce(DatasetTrainer<? extends M, L>) - Static method in class org.apache.ignite.ml.composition.CompositionUtils: Deprecated.

Perform blurring of model type of given trainer to IgniteModel<I, O>, where I, O are input and output types of original model.
unsafeGet() - Method in interface org.apache.ignite.ml.environment.parallelism.Promise: Deprecated.

Await result of Future and return it.
unsafeSimplyTyped() - Method in class org.apache.ignite.ml.composition.combinators.sequential.TrainersSequentialComposition: Deprecated.

Performs coersion of this trainer to DatasetTrainer<IgniteModel<I, O2>, L>.
UnsupportedOperationException - Exception in org.apache.ignite.ml.math.exceptions: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
UnsupportedOperationException(String) - Constructor for exception org.apache.ignite.ml.math.exceptions.UnsupportedOperationException: Deprecated.
UnsupportedOperationException() - Constructor for exception org.apache.ignite.ml.math.exceptions.UnsupportedOperationException: Deprecated.
update(BaggedModel, DatasetBuilder<K, V>, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.composition.bagging.BaggedTrainer: Deprecated.

Gets state of model in arguments, compare it with training parameters of trainer and if they are fit then trainer updates model in according to new data and return new model.
update(GDBTrainer.GDBModel, DatasetBuilder<K, V>, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.composition.boosting.GDBLearningStrategy: Deprecated.

Gets state of model in arguments, compare it with training parameters of trainer and if they are fit then trainer updates model in according to new data and return new model.
update(IgniteModel<I, List<O>>, DatasetBuilder<K, V>, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.composition.combinators.parallel.TrainersParallelComposition: Deprecated.

Gets state of model in arguments, compare it with training parameters of trainer and if they are fit then trainer updates model in according to new data and return new model.
update(ModelsSequentialComposition<I, O1, O2>, DatasetBuilder<K, V>, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.composition.combinators.sequential.TrainersSequentialComposition: Deprecated.

Gets state of model in arguments, compare it with training parameters of trainer and if they are fit then trainer updates model in according to new data and return new model.
update(StackedModel<IS, IA, O, AM>, DatasetBuilder<K, V>, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.composition.stacking.StackedDatasetTrainer: Deprecated.

Gets state of model in arguments, compare it with training parameters of trainer and if they are fit then trainer updates model in according to new data and return new model.
update(M1, NesterovParameterUpdate) - Method in class org.apache.ignite.ml.optimization.updatecalculators.NesterovUpdateCalculator: Deprecated.

Update given obj with this parameters.
update(M1, P) - Method in interface org.apache.ignite.ml.optimization.updatecalculators.ParameterUpdateCalculator: Deprecated.

Update given obj with this parameters.
update(M1, RPropParameterUpdate) - Method in class org.apache.ignite.ml.optimization.updatecalculators.RPropUpdateCalculator: Deprecated.

Update given obj with this parameters.
update(M1, SimpleGDParameterUpdate) - Method in class org.apache.ignite.ml.optimization.updatecalculators.SimpleGDUpdateCalculator: Deprecated.

Update given obj with this parameters.
update(M, DatasetBuilder<K, V>, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.trainers.DatasetTrainer: Deprecated.

Gets state of model in arguments, compare it with training parameters of trainer and if they are fit then trainer updates model in according to new data and return new model.
update(M, Ignite, IgniteCache<K, V>, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.trainers.DatasetTrainer: Deprecated.

Gets state of model in arguments, update in according to new data and return new model.
update(M, Ignite, IgniteCache<K, V>, IgniteBiPredicate<K, V>, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.trainers.DatasetTrainer: Deprecated.

Gets state of model in arguments, update in according to new data and return new model.
update(M, Map<K, V>, int, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.trainers.DatasetTrainer: Deprecated.

Gets state of model in arguments, update in according to new data and return new model.
update(M, Map<K, V>, IgniteBiPredicate<K, V>, int, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.trainers.DatasetTrainer: Deprecated.

Gets state of model in arguments, update in according to new data and return new model.
update(GDBTrainer.GDBModel, DatasetBuilder<K, V>, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.tree.boosting.GDBOnTreesLearningStrategy: Deprecated.

Gets state of model in arguments, compare it with training parameters of trainer and if they are fit then trainer updates model in according to new data and return new model.
updateModel(GmmModel, DatasetBuilder<K, V>, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.clustering.gmm.GmmTrainer: Deprecated.

Trains new model taken previous one as a first approximation.
updateModel(KMeansModel, DatasetBuilder<K, V>, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.clustering.kmeans.KMeansTrainer: Deprecated.

Trains new model taken previous one as a first approximation.
updateModel(BaggedModel, DatasetBuilder<K, V>, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.composition.bagging.BaggedTrainer: Deprecated.

This method is never called, instead of constructing logic of update from DatasetTrainer.isUpdateable(M) and DatasetTrainer.updateModel(M, org.apache.ignite.ml.dataset.DatasetBuilder<K, V>, org.apache.ignite.ml.preprocessing.Preprocessor<K, V>) in this class we explicitly override update method.
updateModel(ModelsComposition, DatasetBuilder<K, V>, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.composition.boosting.GDBTrainer: Deprecated.

Trains new model taken previous one as a first approximation.
updateModel(IgniteModel<I, List<O>>, DatasetBuilder<K, V>, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.composition.combinators.parallel.TrainersParallelComposition: Deprecated.

This method is never called, instead of constructing logic of update from DatasetTrainer.isUpdateable(IgniteModel) and DatasetTrainer.updateModel(IgniteModel, DatasetBuilder, Preprocessor) in this class we explicitly override update method.
updateModel(ModelsSequentialComposition<I, O1, O2>, DatasetBuilder<K, V>, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.composition.combinators.sequential.TrainersSequentialComposition: Deprecated.

This method is never called, instead of constructing logic of update from DatasetTrainer.isUpdateable(IgniteModel) and DatasetTrainer.updateModel(IgniteModel, DatasetBuilder, Preprocessor) in this class we explicitly override update method.
updateModel(StackedModel<IS, IA, O, AM>, DatasetBuilder<K, V>, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.composition.stacking.StackedDatasetTrainer: Deprecated.

This method is never called, instead of constructing logic of update from DatasetTrainer.isUpdateable(IgniteModel) and DatasetTrainer.updateModel(IgniteModel, DatasetBuilder, Preprocessor) in this class we explicitly override update method.
updateModel(ANNClassificationModel, DatasetBuilder<K, V>, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.knn.ann.ANNClassificationTrainer: Deprecated.

Trains new model taken previous one as a first approximation.
updateModel(M, DatasetBuilder<K, V>, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.knn.KNNTrainer: Deprecated.

Trains new model taken previous one as a first approximation.
updateModel(MultiClassModel<M>, DatasetBuilder<K, V>, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.multiclass.OneVsRestTrainer: Deprecated.

Trains new model taken previous one as a first approximation.
updateModel(DiscreteNaiveBayesModel, DatasetBuilder<K, V>, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.naivebayes.discrete.DiscreteNaiveBayesTrainer: Deprecated.

Trains new model taken previous one as a first approximation.
updateModel(GaussianNaiveBayesModel, DatasetBuilder<K, V>, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.naivebayes.gaussian.GaussianNaiveBayesTrainer: Deprecated.

Trains new model taken previous one as a first approximation.
updateModel(MultilayerPerceptron, DatasetBuilder<K, V>, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.nn.MLPTrainer: Deprecated.

Trains new model taken previous one as a first approximation.
updateModel(LinearRegressionModel, DatasetBuilder<K, V>, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.regressions.linear.LinearRegressionLSQRTrainer: Deprecated.

Trains new model taken previous one as a first approximation.
updateModel(LinearRegressionModel, DatasetBuilder<K, V>, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.regressions.linear.LinearRegressionSGDTrainer: Deprecated.

Trains new model taken previous one as a first approximation.
updateModel(LogisticRegressionModel, DatasetBuilder<K, V>, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.regressions.logistic.LogisticRegressionSGDTrainer: Deprecated.

Trains new model taken previous one as a first approximation.
updateModel(SVMLinearClassificationModel, DatasetBuilder<K, V>, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.svm.SVMLinearClassificationTrainer: Deprecated.

Trains new model taken previous one as a first approximation.
updateModel(AdaptableDatasetModel<I, O, IW, OW, M>, DatasetBuilder<K, V>, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.trainers.AdaptableDatasetTrainer: Deprecated.

Trains new model taken previous one as a first approximation.
updateModel(M, DatasetBuilder<K, V>, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.trainers.DatasetTrainer: Deprecated.

Trains new model taken previous one as a first approximation.
updateModel(DecisionTreeNode, DatasetBuilder<K, V>, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.tree.DecisionTree: Deprecated.

Trains new model based on dataset because there is no valid approach to update decision trees.
updateModel(ModelsComposition, DatasetBuilder<K, V>, Preprocessor<K, V>) - Method in class org.apache.ignite.ml.tree.randomforest.RandomForestTrainer: Deprecated.

Trains new model taken previous one as a first approximation.
updateModifictaionTs(long) - Method in interface org.apache.ignite.ml.inference.storage.model.FileOrDirectory: Deprecated.

Create new instance of filesystem object with modified timestamp.
updateModifictaionTs() - Method in interface org.apache.ignite.ml.inference.storage.model.FileOrDirectory: Deprecated.

Create new instance of filesystem object with current timestamp.
updatesMask - Variable in class org.apache.ignite.ml.optimization.updatecalculators.RPropParameterUpdate: Deprecated.

Updates mask (values by which updateCache is multiplied).
updatesMask() - Method in class org.apache.ignite.ml.optimization.updatecalculators.RPropParameterUpdate: Deprecated.

Get updates mask (values by which updateCache is multiplied).
UpdatesStrategy<M,U extends Serializable> - Class in org.apache.ignite.ml.nn: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
UpdatesStrategy(ParameterUpdateCalculator<M, U>, IgniteFunction<List, U>, IgniteFunction<List, U>) - Constructor for class org.apache.ignite.ml.nn.UpdatesStrategy: Deprecated.

Construct instance of this class with given parameters.
UpstreamEntry<K,V> - Class in org.apache.ignite.ml.dataset: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
UpstreamEntry(K, V) - Constructor for class org.apache.ignite.ml.dataset.UpstreamEntry: Deprecated.

Constructs a new instance of upstream entry.
UpstreamTransformer - Interface in org.apache.ignite.ml.dataset: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
UpstreamTransformerBuilder - Interface in org.apache.ignite.ml.dataset: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
useIdx - Variable in class org.apache.ignite.ml.tree.impurity.ImpurityMeasureCalculator: Deprecated.

Use index structure instead of using sorting while learning.
userClass() - Method in interface org.apache.ignite.ml.environment.deploy.DeployingContext: Deprecated.
userClass() - Method in class org.apache.ignite.ml.environment.deploy.DeployingContextImpl: Deprecated.
usingIdx - Variable in class org.apache.ignite.ml.tree.DecisionTree: Deprecated.

Use index structure instead of using sorting while learning.
Utils - Class in org.apache.ignite.ml.util: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
Utils() - Constructor for class org.apache.ignite.ml.util.Utils: Deprecated.

V

validateNewNode(ClusterNode) - Method in class org.apache.ignite.ml.util.plugin.MLPluginProvider: Deprecated.
valueOf(String) - Static method in enum org.apache.ignite.ml.dataset.feature.extractor.Vectorizer.LabelCoordinate: Deprecated.

Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.ignite.ml.environment.logging.MLLogger.VerboseLevel: Deprecated.

Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.ignite.ml.environment.parallelism.ParallelismStrategy.Type: Deprecated.

Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.ignite.ml.genetic.parameter.GAGridConstants.SELECTION_METHOD: Deprecated.

Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.ignite.ml.inference.storage.model.thinclient.ModelStorateThinClientProcessor.Method: Deprecated.

Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.ignite.ml.knn.utils.indices.SpatialIndexType: Deprecated.

Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.ignite.ml.preprocessing.encoding.EncoderSortingStrategy: Deprecated.

Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.ignite.ml.preprocessing.encoding.EncoderType: Deprecated.

Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.ignite.ml.preprocessing.imputing.ImputingStrategy: Deprecated.

Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.ignite.ml.tree.randomforest.data.TreeNode.Type: Deprecated.

Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.ignite.ml.util.genetic.CrossoverStrategy: Deprecated.

Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.ignite.ml.util.genetic.SelectionStrategy: Deprecated.

Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.ignite.ml.util.MLSandboxDatasets: Deprecated.

Returns the enum constant of this type with the specified name.
values() - Static method in enum org.apache.ignite.ml.dataset.feature.extractor.Vectorizer.LabelCoordinate: Deprecated.

Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.ignite.ml.environment.logging.MLLogger.VerboseLevel: Deprecated.

Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.ignite.ml.environment.parallelism.ParallelismStrategy.Type: Deprecated.

Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.ignite.ml.genetic.parameter.GAGridConstants.SELECTION_METHOD: Deprecated.

Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.ignite.ml.inference.storage.model.thinclient.ModelStorateThinClientProcessor.Method: Deprecated.

Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.ignite.ml.knn.utils.indices.SpatialIndexType: Deprecated.

Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.ignite.ml.preprocessing.encoding.EncoderSortingStrategy: Deprecated.

Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.ignite.ml.preprocessing.encoding.EncoderType: Deprecated.

Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.ignite.ml.preprocessing.imputing.ImputingStrategy: Deprecated.

Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.ignite.ml.tree.randomforest.data.TreeNode.Type: Deprecated.

Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.ignite.ml.util.genetic.CrossoverStrategy: Deprecated.

Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.ignite.ml.util.genetic.SelectionStrategy: Deprecated.

Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.ignite.ml.util.MLSandboxDatasets: Deprecated.

Returns an array containing the constants of this enum type, in the order they are declared.
valuesByFrequency() - Method in class org.apache.ignite.ml.preprocessing.imputing.ImputerPartitionData: Deprecated.

Gets the array of maps of frequencies by value in partition for each feature in the dataset.
variance() - Method in class org.apache.ignite.ml.tree.randomforest.data.statistics.NormalDistributionStatistics: Deprecated.
vec2Num(Vector) - Static method in class org.apache.ignite.ml.math.primitives.vector.VectorUtils: Deprecated.

Turn Vector into number by looking at index of maximal element in vector.
Vector - Interface in org.apache.ignite.ml.math.primitives.vector: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
vector - Variable in class org.apache.ignite.ml.structures.DatasetRow: Deprecated.

Vector.
vector() - Method in class org.apache.ignite.ml.util.generators.primitives.vector.VectorGeneratorsFamily.VectorWithDistributionId: Deprecated.
Vector.Element - Interface in org.apache.ignite.ml.math.primitives.vector: Deprecated.

Holder for vector's element.
VectorGenerator - Interface in org.apache.ignite.ml.util.generators.primitives.vector: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
VectorGeneratorPrimitives - Class in org.apache.ignite.ml.util.generators.primitives.vector: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
VectorGeneratorPrimitives() - Constructor for class org.apache.ignite.ml.util.generators.primitives.vector.VectorGeneratorPrimitives: Deprecated.
VectorGeneratorsFamily - Class in org.apache.ignite.ml.util.generators.primitives.vector: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
VectorGeneratorsFamily.Builder - Class in org.apache.ignite.ml.util.generators.primitives.vector: Deprecated.

Helper for distribution family building.
VectorGeneratorsFamily.VectorWithDistributionId - Class in org.apache.ignite.ml.util.generators.primitives.vector: Deprecated.

Container for vector and distribution id.
vectorize(int) - Method in interface org.apache.ignite.ml.util.generators.primitives.scalar.RandomProducer: Deprecated.

Create VectorGenerator with vectors having feature values generated by random producer.
vectorize(RandomProducer...) - Static method in interface org.apache.ignite.ml.util.generators.primitives.scalar.RandomProducer: Deprecated.

Creates VectorGenerator with vectors having feature values in according to preudorandom producers.
VectorizedViewMatrix - Class in org.apache.ignite.ml.math.primitives.vector.impl: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
VectorizedViewMatrix() - Constructor for class org.apache.ignite.ml.math.primitives.vector.impl.VectorizedViewMatrix: Deprecated.
VectorizedViewMatrix(Matrix, int, int, int, int) - Constructor for class org.apache.ignite.ml.math.primitives.vector.impl.VectorizedViewMatrix: Deprecated.
VectorizedViewMatrixStorage - Class in org.apache.ignite.ml.math.primitives.vector.storage: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
VectorizedViewMatrixStorage() - Constructor for class org.apache.ignite.ml.math.primitives.vector.storage.VectorizedViewMatrixStorage: Deprecated.
VectorizedViewMatrixStorage(Matrix, int, int, int, int) - Constructor for class org.apache.ignite.ml.math.primitives.vector.storage.VectorizedViewMatrixStorage: Deprecated.
Vectorizer<K,V,C extends Serializable,L> - Class in org.apache.ignite.ml.dataset.feature.extractor: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
Vectorizer(C...) - Constructor for class org.apache.ignite.ml.dataset.feature.extractor.Vectorizer: Deprecated.

Creates an instance of Vectorizer.
Vectorizer.LabelCoordinate - Enum in org.apache.ignite.ml.dataset.feature.extractor: Deprecated.

Shotrcuts for coordinates in feature vector.
Vectorizer.VectorizerAdapter<K,V,C extends Serializable,L> - Class in org.apache.ignite.ml.dataset.feature.extractor: Deprecated.

Utility class for convenient overridings.
VectorizerAdapter() - Constructor for class org.apache.ignite.ml.dataset.feature.extractor.Vectorizer.VectorizerAdapter: Deprecated.
VectorStorage - Interface in org.apache.ignite.ml.math.primitives.vector: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
VectorUtils - Class in org.apache.ignite.ml.math.primitives.vector: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
VectorUtils() - Constructor for class org.apache.ignite.ml.math.primitives.vector.VectorUtils: Deprecated.
VectorView - Class in org.apache.ignite.ml.math.primitives.vector.impl: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
VectorView() - Constructor for class org.apache.ignite.ml.math.primitives.vector.impl.VectorView: Deprecated.

Constructor for Externalizable interface.
VectorView(Vector, int, int) - Constructor for class org.apache.ignite.ml.math.primitives.vector.impl.VectorView: Deprecated.
VectorView(VectorStorage, int, int) - Constructor for class org.apache.ignite.ml.math.primitives.vector.impl.VectorView: Deprecated.
VectorViewStorage - Class in org.apache.ignite.ml.math.primitives.vector.storage: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
VectorViewStorage() - Constructor for class org.apache.ignite.ml.math.primitives.vector.storage.VectorViewStorage: Deprecated.
VectorViewStorage(VectorStorage, int, int) - Constructor for class org.apache.ignite.ml.math.primitives.vector.storage.VectorViewStorage: Deprecated.
VectorWithDistributionId(Vector, int) - Constructor for class org.apache.ignite.ml.util.generators.primitives.vector.VectorGeneratorsFamily.VectorWithDistributionId: Deprecated.

Creates an instance of VectorWithDistributionId.
version() - Method in class org.apache.ignite.ml.util.plugin.MLPluginProvider: Deprecated.
viewColumn(int) - Method in class org.apache.ignite.ml.math.primitives.matrix.AbstractMatrix: Deprecated.

Creates new view into matrix column .
viewColumn(int) - Method in interface org.apache.ignite.ml.math.primitives.matrix.Matrix: Deprecated.

Creates new view into matrix column .
viewDiagonal() - Method in class org.apache.ignite.ml.math.primitives.matrix.AbstractMatrix: Deprecated.

Creates new view into matrix diagonal.
viewDiagonal() - Method in interface org.apache.ignite.ml.math.primitives.matrix.Matrix: Deprecated.

Creates new view into matrix diagonal.
ViewMatrix - Class in org.apache.ignite.ml.math.primitives.matrix.impl: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
ViewMatrix() - Constructor for class org.apache.ignite.ml.math.primitives.matrix.impl.ViewMatrix: Deprecated.

Constructor for Externalizable interface.
ViewMatrix(Matrix, int, int, int, int) - Constructor for class org.apache.ignite.ml.math.primitives.matrix.impl.ViewMatrix: Deprecated.
ViewMatrix(MatrixStorage, int, int, int, int) - Constructor for class org.apache.ignite.ml.math.primitives.matrix.impl.ViewMatrix: Deprecated.
ViewMatrixStorage - Class in org.apache.ignite.ml.math.primitives.matrix.storage: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
ViewMatrixStorage() - Constructor for class org.apache.ignite.ml.math.primitives.matrix.storage.ViewMatrixStorage: Deprecated.
ViewMatrixStorage(MatrixStorage, int, int, int, int) - Constructor for class org.apache.ignite.ml.math.primitives.matrix.storage.ViewMatrixStorage: Deprecated.
viewPart(int, int) - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.
viewPart(int, int) - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingVector: Deprecated.
viewPart(int, int) - Method in interface org.apache.ignite.ml.math.primitives.vector.Vector: Deprecated.
viewRow(int) - Method in class org.apache.ignite.ml.math.primitives.matrix.AbstractMatrix: Deprecated.

Creates new view into matrix row.
viewRow(int) - Method in interface org.apache.ignite.ml.math.primitives.matrix.Matrix: Deprecated.

Creates new view into matrix row.

W

weight(int, int, int) - Method in class org.apache.ignite.ml.nn.MultilayerPerceptron: Deprecated.

Get the weight of neuron with given index in previous layer to neuron with given index in given layer.
weighted - Variable in class org.apache.ignite.ml.knn.ann.KNNModelFormat: Deprecated.

Weighted or not.
weighted - Variable in class org.apache.ignite.ml.knn.KNNModel: Deprecated.

Weighted or not.
weighted - Variable in class org.apache.ignite.ml.knn.KNNTrainer: Deprecated.

Weighted or not.
weighted - Variable in class org.apache.ignite.ml.knn.NNClassificationModel: Deprecated.

kNN strategy.
WeightedPredictionsAggregator - Class in org.apache.ignite.ml.composition.predictionsaggregator: Deprecated.
The ignite-ml module is deprecated and will be removed in a future release. Use the ignite-ml-ext Apache Ignite extension or the standalone GridGain ML package instead.
WeightedPredictionsAggregator(double[]) - Constructor for class org.apache.ignite.ml.composition.predictionsaggregator.WeightedPredictionsAggregator: Deprecated.

Constructs WeightedPredictionsAggregator instance.
WeightedPredictionsAggregator(double[], double) - Constructor for class org.apache.ignite.ml.composition.predictionsaggregator.WeightedPredictionsAggregator: Deprecated.

Constructs WeightedPredictionsAggregator instance.
weights - Variable in class org.apache.ignite.ml.nn.MLPLayer: Deprecated.

Weights matrix.
weights(int) - Method in class org.apache.ignite.ml.nn.MultilayerPerceptron: Deprecated.

Get weights of layer with given index.
weights() - Method in class org.apache.ignite.ml.regressions.logistic.LogisticRegressionModel: Deprecated.

Gets the weights.
weights() - Method in class org.apache.ignite.ml.svm.SVMLinearClassificationModel: Deprecated.

Gets the weights.
withAddedLayer(int, boolean, IgniteDifferentiableDoubleToDoubleFunction) - Method in class org.apache.ignite.ml.nn.architecture.MLPArchitecture: Deprecated.

Constructs new MLP architecture with new layer added on top of all this architecture layers.
withAggregatorInputMerger(IgniteBinaryOperator) - Method in class org.apache.ignite.ml.composition.stacking.SimpleStackedDatasetTrainer: Deprecated.

Specify binary operator used to merge submodels outputs to one.
withAggregatorInputMerger(IgniteBinaryOperator<IA>) - Method in class org.apache.ignite.ml.composition.stacking.StackedDatasetTrainer: Deprecated.

Specify binary operator used to merge submodels outputs to one.
withAggregatorInputMerger(IgniteBinaryOperator<Vector>) - Method in class org.apache.ignite.ml.composition.stacking.StackedVectorDatasetTrainer: Deprecated.

Specify binary operator used to merge submodels outputs to one.
withAggregatorTrainer(DatasetTrainer<AM, L>) - Method in class org.apache.ignite.ml.composition.stacking.SimpleStackedDatasetTrainer: Deprecated.

Specify aggregator trainer.
withAggregatorTrainer(DatasetTrainer<AM, L>) - Method in class org.apache.ignite.ml.composition.stacking.StackedDatasetTrainer: Deprecated.

Specify aggregator trainer.
withAggregatorTrainer(DatasetTrainer<AM, L>) - Method in class org.apache.ignite.ml.composition.stacking.StackedVectorDatasetTrainer: Deprecated.

Specify aggregator trainer.
withAmountOfClusters(int) - Method in class org.apache.ignite.ml.clustering.kmeans.KMeansTrainer: Deprecated.

Set up the amount of clusters.
withAmountOfEliteChromosomes(int) - Method in class org.apache.ignite.ml.util.genetic.GeneticAlgorithm: Deprecated.
withAmountOfFolds(int) - Method in class org.apache.ignite.ml.selection.cv.AbstractCrossValidation: Deprecated.
withAmountOfGenerations(int) - Method in class org.apache.ignite.ml.util.genetic.GeneticAlgorithm: Deprecated.
withAmountOfIterations(int) - Method in class org.apache.ignite.ml.svm.SVMLinearClassificationTrainer: Deprecated.

Set up the amount of outer iterations of SCDA algorithm.
withAmountOfLocIterations(int) - Method in class org.apache.ignite.ml.svm.SVMLinearClassificationTrainer: Deprecated.

Set up the amount of local iterations of SCDA algorithm.
withAmountOfParts(int) - Method in class org.apache.ignite.ml.selection.cv.DebugCrossValidation: Deprecated.
withAmountOfTrees(int) - Method in class org.apache.ignite.ml.tree.randomforest.RandomForestTrainer: Deprecated.
withArchSupplier(IgniteFunction<Dataset<EmptyContext, SimpleLabeledDatasetData>, MLPArchitecture>) - Method in class org.apache.ignite.ml.nn.MLPTrainer: Deprecated.

Set up the multilayer perceptron architecture supplier that defines layers and activators.
withBaseModelTrainerBuilder(IgniteSupplier<DatasetTrainer<? extends IgniteModel<Vector, Double>, Double>>) - Method in class org.apache.ignite.ml.composition.boosting.GDBLearningStrategy: Deprecated.

Sets base model builder.
withBatchSize(int) - Method in class org.apache.ignite.ml.nn.MLPTrainer: Deprecated.

Set up the batch size (per every partition).
withBatchSize(int) - Method in class org.apache.ignite.ml.recommendation.RecommendationTrainer: Deprecated.

Set up batch size parameter.
withBatchSize(int) - Method in class org.apache.ignite.ml.regressions.linear.LinearRegressionSGDTrainer: Deprecated.

Set up the batchSize parameter.
withBatchSize(double) - Method in class org.apache.ignite.ml.regressions.logistic.LogisticRegressionSGDTrainer: Deprecated.

Set up the batchSize parameter.
withCategoryFrequencies(Map<String, Integer>[]) - Method in class org.apache.ignite.ml.preprocessing.encoding.EncoderPartitionData: Deprecated.

Sets the array of maps of frequencies by value in partition for each feature in the dataset.
withCheckConvergenceStgyFactory(ConvergenceCheckerFactory) - Method in class org.apache.ignite.ml.composition.boosting.GDBLearningStrategy: Deprecated.

Sets CheckConvergenceStgyFactory.
withCheckConvergenceStgyFactory(ConvergenceCheckerFactory) - Method in class org.apache.ignite.ml.composition.boosting.GDBTrainer: Deprecated.

Sets CheckConvergenceStgyFactory.
withCntOfIterations(int) - Method in class org.apache.ignite.ml.composition.boosting.GDBLearningStrategy: Deprecated.

Sets count of iterations.
withCompositionWeights(double[]) - Method in class org.apache.ignite.ml.composition.boosting.GDBLearningStrategy: Deprecated.

Sets composition weights vector.
withConvertedLabels(IgniteFunction<L1, L>) - Method in class org.apache.ignite.ml.composition.stacking.SimpleStackedDatasetTrainer: Deprecated.

Creates DatasetTrainer with same training logic, but able to accept labels of given new type of labels.
withConvertedLabels(IgniteFunction<L1, L>) - Method in class org.apache.ignite.ml.composition.stacking.StackedVectorDatasetTrainer: Deprecated.

Creates DatasetTrainer with same training logic, but able to accept labels of given new type of labels.
withConvertedLabels(IgniteFunction<L1, L>) - Method in class org.apache.ignite.ml.trainers.DatasetTrainer: Deprecated.

Creates DatasetTrainer with same training logic, but able to accept labels of given new type of labels.
withCounts(int[]) - Method in class org.apache.ignite.ml.preprocessing.imputing.ImputerPartitionData: Deprecated.

Sets the array of amounts of values in partition for each feature in the dataset.
withCrossingoverProbability(double) - Method in class org.apache.ignite.ml.selection.paramgrid.EvolutionOptimizationStrategy: Deprecated.
withCrossingoverProbability(double) - Method in class org.apache.ignite.ml.util.genetic.GeneticAlgorithm: Deprecated.
withCrossoverStgy(CrossoverStrategy) - Method in class org.apache.ignite.ml.selection.paramgrid.EvolutionOptimizationStrategy: Deprecated.
withCrossoverStgy(CrossoverStrategy) - Method in class org.apache.ignite.ml.util.genetic.GeneticAlgorithm: Deprecated.
withDatasetMapping(DatasetMapping<L, L>) - Method in class org.apache.ignite.ml.trainers.AdaptableDatasetTrainer: Deprecated.

Specify DatasetMapping which will be applied to dataset before fitting and updating.
withDataTtl(long) - Method in class org.apache.ignite.ml.environment.DefaultLearningEnvironmentBuilder: Deprecated.

Specify partition data time-to-live in seconds (-1 for an infinite lifetime).
withDataTtl(long) - Method in interface org.apache.ignite.ml.environment.LearningEnvironmentBuilder: Deprecated.

Specify partition data time-to-live in seconds (-1 for an infinite lifetime).
withDataTtl(long) - Method in class org.apache.ignite.ml.knn.KNNTrainer: Deprecated.

Sets up dataTtl parameter.
withDefaultGradStepSize(double) - Method in class org.apache.ignite.ml.composition.boosting.GDBLearningStrategy: Deprecated.

Sets default gradient step size.
withDistance(DistanceMeasure) - Method in class org.apache.ignite.ml.clustering.kmeans.KMeansTrainer: Deprecated.

Set up the distance.
withDistance(DistanceMeasure) - Method in class org.apache.ignite.ml.knn.ann.ANNClassificationTrainer: Deprecated.

Set up the distance.
withDistanceMeasure(DistanceMeasure) - Method in class org.apache.ignite.ml.knn.KNNTrainer: Deprecated.

Sets up distanceMeasure parameter.
withDistanceMeasure(DistanceMeasure) - Method in class org.apache.ignite.ml.knn.NNClassificationModel: Deprecated.

Set up parameter of the NN model.
withEnablingROCAUC(boolean) - Method in class org.apache.ignite.ml.selection.scoring.metric.classification.BinaryClassificationMetrics: Deprecated.
withEncodedFeature(int) - Method in class org.apache.ignite.ml.preprocessing.encoding.EncoderTrainer: Deprecated.

Add the index of encoded feature.
withEncodedFeatures(Set<Integer>) - Method in class org.apache.ignite.ml.preprocessing.encoding.EncoderTrainer: Deprecated.

Sets the indices of features which should be encoded.
withEncoderIndexingStrategy(EncoderSortingStrategy) - Method in class org.apache.ignite.ml.preprocessing.encoding.EncoderTrainer: Deprecated.

Sets the encoder indexing strategy.
withEncoderType(EncoderType) - Method in class org.apache.ignite.ml.preprocessing.encoding.EncoderTrainer: Deprecated.

Sets the encoder preprocessor type.
withEnvironmentBuilder(LearningEnvironmentBuilder) - Method in class org.apache.ignite.ml.clustering.kmeans.KMeansTrainer: Deprecated.

Changes learning Environment.
withEnvironmentBuilder(LearningEnvironmentBuilder) - Method in class org.apache.ignite.ml.composition.bagging.BaggedTrainer: Deprecated.

Changes learning Environment.
withEnvironmentBuilder(LearningEnvironmentBuilder) - Method in class org.apache.ignite.ml.composition.boosting.GDBBinaryClassifierTrainer: Deprecated.

Changes learning Environment.
withEnvironmentBuilder(LearningEnvironmentBuilder) - Method in class org.apache.ignite.ml.composition.boosting.GDBLearningStrategy: Deprecated.

Sets learning environment.
withEnvironmentBuilder(LearningEnvironmentBuilder) - Method in class org.apache.ignite.ml.composition.boosting.GDBRegressionTrainer: Deprecated.

Changes learning Environment.
withEnvironmentBuilder(LearningEnvironmentBuilder) - Method in class org.apache.ignite.ml.composition.boosting.GDBTrainer: Deprecated.

Changes learning Environment.
withEnvironmentBuilder(LearningEnvironmentBuilder) - Method in class org.apache.ignite.ml.composition.stacking.SimpleStackedDatasetTrainer: Deprecated.

Changes learning Environment.
withEnvironmentBuilder(LearningEnvironmentBuilder) - Method in class org.apache.ignite.ml.composition.stacking.StackedDatasetTrainer: Deprecated.

Changes learning Environment.
withEnvironmentBuilder(LearningEnvironmentBuilder) - Method in class org.apache.ignite.ml.composition.stacking.StackedVectorDatasetTrainer: Deprecated.

Changes learning Environment.
withEnvironmentBuilder(LearningEnvironmentBuilder) - Method in class org.apache.ignite.ml.knn.ann.ANNClassificationTrainer: Deprecated.

Changes learning Environment.
withEnvironmentBuilder(LearningEnvironmentBuilder) - Method in class org.apache.ignite.ml.naivebayes.gaussian.GaussianNaiveBayesTrainer: Deprecated.

Changes learning Environment.
withEnvironmentBuilder(LearningEnvironmentBuilder) - Method in class org.apache.ignite.ml.nn.MLPTrainer: Deprecated.

Changes learning Environment.
withEnvironmentBuilder(LearningEnvironmentBuilder) - Method in class org.apache.ignite.ml.selection.cv.AbstractCrossValidation: Deprecated.

Changes learning Environment.
withEnvironmentBuilder(LearningEnvironmentBuilder) - Method in class org.apache.ignite.ml.trainers.DatasetTrainer: Deprecated.

Changes learning Environment.
withEnvironmentBuilder(LearningEnvironmentBuilder) - Method in class org.apache.ignite.ml.tree.boosting.GDBBinaryClassifierOnTreesTrainer: Deprecated.

Changes learning Environment.
withEnvironmentBuilder(LearningEnvironmentBuilder) - Method in class org.apache.ignite.ml.tree.boosting.GDBRegressionOnTreesTrainer: Deprecated.

Changes learning Environment.
withEnvironmentBuilder(LearningEnvironmentBuilder) - Method in class org.apache.ignite.ml.tree.DecisionTree: Deprecated.

Changes learning Environment.
withEnvironmentBuilder(LearningEnvironmentBuilder) - Method in class org.apache.ignite.ml.tree.DecisionTreeClassificationTrainer: Deprecated.

Changes learning Environment.
withEnvironmentBuilder(LearningEnvironmentBuilder) - Method in class org.apache.ignite.ml.tree.DecisionTreeRegressionTrainer: Deprecated.

Changes learning Environment.
withEnvironmentBuilder(LearningEnvironmentBuilder) - Method in class org.apache.ignite.ml.tree.randomforest.RandomForestClassifierTrainer: Deprecated.

Changes learning Environment.
withEps(double) - Method in class org.apache.ignite.ml.clustering.gmm.GmmTrainer: Deprecated.

Sets min divergence beween iterations.
withEpsilon(double) - Method in class org.apache.ignite.ml.clustering.kmeans.KMeansTrainer: Deprecated.

Set up the epsilon.
withEpsilon(double) - Method in class org.apache.ignite.ml.knn.ann.ANNClassificationTrainer: Deprecated.

Set up the epsilon.
withEquiprobableClasses() - Method in class org.apache.ignite.ml.naivebayes.discrete.DiscreteNaiveBayesTrainer: Deprecated.

Sets equal probability for all classes.
withEquiprobableClasses() - Method in class org.apache.ignite.ml.naivebayes.gaussian.GaussianNaiveBayesTrainer: Deprecated.

Sets equal probability for all classes.
withExternalLabelToInternal(IgniteFunction<Double, Double>) - Method in class org.apache.ignite.ml.composition.boosting.GDBLearningStrategy: Deprecated.

Sets external to internal label representation mapping.
withFeature(String, BinaryObjectVectorizer.Mapping) - Method in class org.apache.ignite.ml.dataset.feature.extractor.impl.BinaryObjectVectorizer: Deprecated.

Sets values mapping for feature.
withFeaturesCountSelectionStrgy(Function<List<FeatureMeta>, Integer>) - Method in class org.apache.ignite.ml.tree.randomforest.RandomForestTrainer: Deprecated.
withFilter(IgniteBiPredicate<K, V>) - Method in interface org.apache.ignite.ml.dataset.DatasetBuilder: Deprecated.

Returns new instance of DatasetBuilder using conjunction of internal filter and filterToAdd.
withFilter(IgniteBiPredicate<K, V>) - Method in class org.apache.ignite.ml.dataset.impl.cache.CacheBasedDatasetBuilder: Deprecated.

Returns new instance of DatasetBuilder using conjunction of internal filter and filterToAdd.
withFilter(IgniteBiPredicate<K, V>) - Method in class org.apache.ignite.ml.dataset.impl.local.LocalDatasetBuilder: Deprecated.

Returns new instance of DatasetBuilder using conjunction of internal filter and filterToAdd.
withFilter(IgniteBiPredicate<K, V>) - Method in class org.apache.ignite.ml.selection.cv.AbstractCrossValidation: Deprecated.
withFitnessFunction(Function<Chromosome, Double>) - Method in class org.apache.ignite.ml.util.genetic.GeneticAlgorithm: Deprecated.

Sets the custom fitness function.
withIdxType(SpatialIndexType) - Method in class org.apache.ignite.ml.knn.KNNTrainer: Deprecated.

Sets up idxType parameter.
withIgnite(Ignite) - Method in class org.apache.ignite.ml.selection.cv.CrossValidation: Deprecated.
withImputingStrategy(ImputingStrategy) - Method in class org.apache.ignite.ml.preprocessing.imputing.ImputerTrainer: Deprecated.

Sets the imputing strategy.
withInitialCountOfComponents(int) - Method in class org.apache.ignite.ml.clustering.gmm.GmmTrainer: Deprecated.

Sets numberOfComponents.
withInitialMeans(List<Vector>) - Method in class org.apache.ignite.ml.clustering.gmm.GmmTrainer: Deprecated.

Sets initial means.
withInnerModel(M1) - Method in class org.apache.ignite.ml.trainers.AdaptableDatasetModel: Deprecated.

Create new instance of this class with changed inner model.
withIntercept(double) - Method in class org.apache.ignite.ml.regressions.logistic.LogisticRegressionModel: Deprecated.

Set up the intercept.
withIntercept(double) - Method in class org.apache.ignite.ml.svm.SVMLinearClassificationModel: Deprecated.

Set up the intercept.
withInternalMdl(IgniteModel<Vector, Double>) - Method in class org.apache.ignite.ml.pipeline.PipelineMdl: Deprecated.
withK(int) - Method in class org.apache.ignite.ml.knn.ann.ANNClassificationTrainer: Deprecated.

Set up the amount of clusters.
withK(int) - Method in class org.apache.ignite.ml.knn.KNNTrainer: Deprecated.

Sets up k parameter (number of neighbours).
withK(int) - Method in class org.apache.ignite.ml.knn.NNClassificationModel: Deprecated.

Set up parameter of the NN model.
withK(int) - Method in class org.apache.ignite.ml.recommendation.RecommendationTrainer: Deprecated.

Set up k parameter (number of rows/cols in matrices after factorization).
withKeepBinary(boolean) - Method in class org.apache.ignite.ml.dataset.impl.cache.CacheBasedDatasetBuilder: Deprecated.

Add keepBinary policy.
withLambda(double) - Method in class org.apache.ignite.ml.svm.SVMLinearClassificationTrainer: Deprecated.

Set up the regularization parameter.
withLearningEnvironmentBuilder(LearningEnvironmentBuilder) - Method in class org.apache.ignite.ml.recommendation.RecommendationTrainer: Deprecated.

Set up learning environment builder.
withLearningRate(double) - Method in class org.apache.ignite.ml.optimization.updatecalculators.SimpleGDUpdateCalculator: Deprecated.

Create new instance of this class with same parameters as this one, but with new learning rate.
withLearningRate(double) - Method in class org.apache.ignite.ml.recommendation.RecommendationTrainer: Deprecated.

Set up learning rate parameter.
withLocIterations(int) - Method in class org.apache.ignite.ml.nn.MLPTrainer: Deprecated.

Set up the maximal number of local iterations before synchronization.
withLocIterations(int) - Method in class org.apache.ignite.ml.regressions.linear.LinearRegressionSGDTrainer: Deprecated.

Set up the amount of local iterations of SGD algorithm.
withLocIterations(double) - Method in class org.apache.ignite.ml.regressions.logistic.LogisticRegressionSGDTrainer: Deprecated.

Set up the amount of local iterations of SGD algorithm.
withLoggingFactory(T) - Method in interface org.apache.ignite.ml.environment.LearningEnvironmentBuilder: Deprecated.

Specify logging factory.
withLoggingFactoryDependency(IgniteFunction<Integer, MLLogger.Factory>) - Method in class org.apache.ignite.ml.environment.DefaultLearningEnvironmentBuilder: Deprecated.

Specify dependency (partition -> logging factory).
withLoggingFactoryDependency(IgniteFunction<Integer, MLLogger.Factory>) - Method in interface org.apache.ignite.ml.environment.LearningEnvironmentBuilder: Deprecated.

Specify dependency (partition -> logging factory).
withLoss(IgniteFunction<Vector, IgniteDifferentiableVectorToDoubleFunction>) - Method in class org.apache.ignite.ml.nn.MLPTrainer: Deprecated.

Set up the loss function to be minimized during the training.
withLossGradient(Loss) - Method in class org.apache.ignite.ml.composition.boosting.GDBLearningStrategy: Deprecated.

Loss function.
withMapper(UniformMapper<K, V>) - Method in class org.apache.ignite.ml.selection.cv.AbstractCrossValidation: Deprecated.
withMaxCountIterations(int) - Method in class org.apache.ignite.ml.clustering.gmm.GmmTrainer: Deprecated.

Sets max count of iterations
withMaxCountOfClusters(int) - Method in class org.apache.ignite.ml.clustering.gmm.GmmTrainer: Deprecated.

Sets maximum number of clusters in GMM.
withMaxCountOfInitTries(int) - Method in class org.apache.ignite.ml.clustering.gmm.GmmTrainer: Deprecated.

Sets MaxCountOfInitTries parameter.
withMaxDeep(Double) - Method in class org.apache.ignite.ml.tree.DecisionTreeClassificationTrainer: Deprecated.

Set up the max deep of decision tree.
withMaxDepth(int) - Method in class org.apache.ignite.ml.tree.randomforest.RandomForestTrainer: Deprecated.
withMaxIterations(int) - Method in class org.apache.ignite.ml.clustering.kmeans.KMeansTrainer: Deprecated.

Set up the max number of iterations before convergence.
withMaxIterations(int) - Method in class org.apache.ignite.ml.knn.ann.ANNClassificationTrainer: Deprecated.

Set up the max number of iterations before convergence.
withMaxIterations(int) - Method in class org.apache.ignite.ml.nn.MLPTrainer: Deprecated.

Set up the maximal number of iterations before the training will be stopped.
withMaxIterations(int) - Method in class org.apache.ignite.ml.recommendation.RecommendationTrainer: Deprecated.

Set up max iterations parameter.
withMaxIterations(int) - Method in class org.apache.ignite.ml.regressions.linear.LinearRegressionSGDTrainer: Deprecated.

Set up the max amount of iterations before convergence.
withMaxIterations(double) - Method in class org.apache.ignite.ml.regressions.logistic.LogisticRegressionSGDTrainer: Deprecated.

Set up the max amount of iterations before convergence.
withMaxLikelihoodDivergence(double) - Method in class org.apache.ignite.ml.clustering.gmm.GmmTrainer: Deprecated.

Sets maximum divergence between maximum of likelihood of vector in dataset and other for anomalies identification.
withMaxTries(int) - Method in class org.apache.ignite.ml.selection.paramgrid.RandomStrategy: Deprecated.

Set up the max number of tries to stop the hyperparameter search.
withMeanLabelValue(double) - Method in class org.apache.ignite.ml.composition.boosting.GDBLearningStrategy: Deprecated.

Sets mean label value.
withMetric(Metric<L>) - Method in class org.apache.ignite.ml.selection.cv.AbstractCrossValidation: Deprecated.
withMetric(Function<M, Double>) - Method in class org.apache.ignite.ml.selection.scoring.metric.AbstractMetrics: Deprecated.
withMinClusterProbability(double) - Method in class org.apache.ignite.ml.clustering.gmm.GmmTrainer: Deprecated.

Sets minimum requred probability for cluster.
withMinElementsForNewCluster(int) - Method in class org.apache.ignite.ml.clustering.gmm.GmmTrainer: Deprecated.

Sets minimum required anomalies in terms of maxLikelihoodDivergence for creating new cluster.
withMinImpurityDecrease(Double) - Method in class org.apache.ignite.ml.tree.DecisionTreeClassificationTrainer: Deprecated.

Set up the min impurity decrease of decision tree.
withMinImpurityDelta(double) - Method in class org.apache.ignite.ml.tree.randomforest.RandomForestTrainer: Deprecated.
withMinMdlImprovement(double) - Method in class org.apache.ignite.ml.recommendation.RecommendationTrainer: Deprecated.

Set up minModelImprovement parameter (minimal improvement of the model to continue training).
withMutationOperator(BiFunction<Integer, Double, Double>) - Method in class org.apache.ignite.ml.util.genetic.GeneticAlgorithm: Deprecated.
withMutationProbability(double) - Method in class org.apache.ignite.ml.selection.paramgrid.EvolutionOptimizationStrategy: Deprecated.
withMutationProbability(double) - Method in class org.apache.ignite.ml.util.genetic.GeneticAlgorithm: Deprecated.
withNegativeClsLb(double) - Method in class org.apache.ignite.ml.selection.scoring.metric.classification.BinaryClassificationMetrics: Deprecated.
withNegativeClsLb(double) - Method in class org.apache.ignite.ml.selection.scoring.metric.classification.ROCAUC: Deprecated.

Set the negative label.
withNodesToLearnSelectionStrgy(Function<Queue<TreeNode>, List<TreeNode>>) - Method in class org.apache.ignite.ml.tree.randomforest.RandomForestTrainer: Deprecated.

Sets strategy for selection nodes from learning queue in each iteration.
withOriginalFeaturesDropped() - Method in class org.apache.ignite.ml.composition.stacking.SimpleStackedDatasetTrainer: Deprecated.

Drop original features during training and inference.
withOriginalFeaturesDropped() - Method in class org.apache.ignite.ml.composition.stacking.StackedDatasetTrainer: Deprecated.

Drop original features during training and inference.
withOriginalFeaturesDropped() - Method in class org.apache.ignite.ml.composition.stacking.StackedVectorDatasetTrainer: Deprecated.

Drop original features during training and inference.
withOriginalFeaturesKept(IgniteFunction<I, I>) - Method in class org.apache.ignite.ml.composition.stacking.SimpleStackedDatasetTrainer: Deprecated.

Keep original features during training and propagate submodels input to aggregator during inference using given function.
withOriginalFeaturesKept() - Method in class org.apache.ignite.ml.composition.stacking.SimpleStackedDatasetTrainer: Deprecated.

Keep original features using IgniteFunction.identity() as submodelInput2AggregatingInputConverter.
withOriginalFeaturesKept(IgniteFunction<IS, IA>) - Method in class org.apache.ignite.ml.composition.stacking.StackedDatasetTrainer: Deprecated.

Keep original features during training and propagate submodels input to aggregator during inference using given function.
withOriginalFeaturesKept() - Method in class org.apache.ignite.ml.composition.stacking.StackedVectorDatasetTrainer: Deprecated.

Keep original features using IgniteFunction.identity() as submodelInput2AggregatingInputConverter.
withOriginalFeaturesKept(IgniteFunction<Vector, Vector>) - Method in class org.apache.ignite.ml.composition.stacking.StackedVectorDatasetTrainer: Deprecated.

Keep original features during training and propagate submodels input to aggregator during inference using given function.
withP(double) - Method in class org.apache.ignite.ml.preprocessing.normalization.NormalizationTrainer: Deprecated.

Sets the p parameter value.
withParallelismStrategy(T) - Method in interface org.apache.ignite.ml.environment.LearningEnvironmentBuilder: Deprecated.

Specifies Parallelism Strategy for LearningEnvironment.
withParallelismStrategyDependency(IgniteFunction<Integer, ParallelismStrategy>) - Method in class org.apache.ignite.ml.environment.DefaultLearningEnvironmentBuilder: Deprecated.

Specifies dependency (partition -> Parallelism Strategy for LearningEnvironment).
withParallelismStrategyDependency(IgniteFunction<Integer, ParallelismStrategy>) - Method in interface org.apache.ignite.ml.environment.LearningEnvironmentBuilder: Deprecated.

Specifies dependency (partition -> Parallelism Strategy for LearningEnvironment).
withParallelismStrategyType(ParallelismStrategy.Type) - Method in interface org.apache.ignite.ml.environment.LearningEnvironmentBuilder: Deprecated.

Specifies Parallelism Strategy Type for LearningEnvironment.
withParallelismStrategyTypeDependency(IgniteFunction<Integer, ParallelismStrategy.Type>) - Method in class org.apache.ignite.ml.environment.DefaultLearningEnvironmentBuilder: Deprecated.

Specifies dependency (partition -> Parallelism Strategy Type for LearningEnvironment).
withParallelismStrategyTypeDependency(IgniteFunction<Integer, ParallelismStrategy.Type>) - Method in interface org.apache.ignite.ml.environment.LearningEnvironmentBuilder: Deprecated.

Specifies dependency (partition -> Parallelism Strategy Type for LearningEnvironment).
withParameterSearchStrategy(HyperParameterTuningStrategy) - Method in class org.apache.ignite.ml.selection.paramgrid.ParamGrid: Deprecated.

Set up the hyperparameter searching strategy.
withParamGrid(ParamGrid) - Method in class org.apache.ignite.ml.selection.cv.AbstractCrossValidation: Deprecated.
withPipeline(Pipeline<K, V, Integer, Double>) - Method in class org.apache.ignite.ml.selection.cv.AbstractCrossValidation: Deprecated.
withPopulationSize(int) - Method in class org.apache.ignite.ml.util.genetic.GeneticAlgorithm: Deprecated.
withPositiveClsLb(double) - Method in class org.apache.ignite.ml.selection.scoring.metric.classification.BinaryClassificationMetrics: Deprecated.
withPositiveClsLb(double) - Method in class org.apache.ignite.ml.selection.scoring.metric.classification.ROCAUC: Deprecated.

Set the positive label.
withPreprocessor(Preprocessor<K, V>) - Method in class org.apache.ignite.ml.pipeline.PipelineMdl: Deprecated.
withPreprocessor(Preprocessor<K, V>) - Method in class org.apache.ignite.ml.selection.cv.AbstractCrossValidation: Deprecated.
withRandom(Random) - Method in interface org.apache.ignite.ml.environment.LearningEnvironmentBuilder: Deprecated.

Specify random numbers generator for learning environment.
withRandomDependency(IgniteFunction<Integer, Random>) - Method in class org.apache.ignite.ml.environment.DefaultLearningEnvironmentBuilder: Deprecated.

Specify dependency (partition -> random numbers generator).
withRandomDependency(IgniteFunction<Integer, Random>) - Method in interface org.apache.ignite.ml.environment.LearningEnvironmentBuilder: Deprecated.

Specify dependency (partition -> random numbers generator).
withRawLabels(boolean) - Method in class org.apache.ignite.ml.regressions.logistic.LogisticRegressionModel: Deprecated.

Set up the output label format.
withRawLabels(boolean) - Method in class org.apache.ignite.ml.svm.SVMLinearClassificationModel: Deprecated.

Set up the output label format.
withRegularizer(double) - Method in class org.apache.ignite.ml.recommendation.RecommendationTrainer: Deprecated.

Set up regularization parameter.
withRetriesNumber(int) - Method in class org.apache.ignite.ml.dataset.impl.cache.CacheBasedDatasetBuilder: Deprecated.

Sets number of retries. 15 * 60 by default.
withRNGSeed(long) - Method in interface org.apache.ignite.ml.environment.LearningEnvironmentBuilder: Deprecated.

Specify seed for random number generator.
withRNGSeedDependency(IgniteFunction<Integer, Long>) - Method in class org.apache.ignite.ml.environment.DefaultLearningEnvironmentBuilder: Deprecated.

Specify dependency (partition -> seed for random number generator).
withRNGSeedDependency(IgniteFunction<Integer, Long>) - Method in interface org.apache.ignite.ml.environment.LearningEnvironmentBuilder: Deprecated.

Specify dependency (partition -> seed for random number generator).
withSampleSize(long) - Method in class org.apache.ignite.ml.composition.boosting.GDBLearningStrategy: Deprecated.

Sets sample size.
withSatisfactoryFitness(double) - Method in class org.apache.ignite.ml.selection.paramgrid.RandomStrategy: Deprecated.

Set up the satisfactory fitness to stop the hyperparameter search.
withSeed(long) - Method in class org.apache.ignite.ml.nn.MLPTrainer: Deprecated.

Set up the multilayer perceptron model initializer.
withSeed(long) - Method in class org.apache.ignite.ml.regressions.linear.LinearRegressionSGDTrainer: Deprecated.

Set up the random seed parameter.
withSeed(long) - Method in class org.apache.ignite.ml.regressions.logistic.LogisticRegressionSGDTrainer: Deprecated.

Set up the random seed parameter.
withSeed(long) - Method in class org.apache.ignite.ml.selection.paramgrid.EvolutionOptimizationStrategy: Deprecated.

Set up the seed number.
withSeed(long) - Method in class org.apache.ignite.ml.selection.paramgrid.RandomStrategy: Deprecated.

Set up the seed number.
withSeed(long) - Method in class org.apache.ignite.ml.svm.SVMLinearClassificationTrainer: Deprecated.

Set up the seed.
withSeed(long) - Method in class org.apache.ignite.ml.tree.randomforest.RandomForestTrainer: Deprecated.
withSelectionStgy(SelectionStrategy) - Method in class org.apache.ignite.ml.selection.paramgrid.EvolutionOptimizationStrategy: Deprecated.
withSelectionStgy(SelectionStrategy) - Method in class org.apache.ignite.ml.util.genetic.GeneticAlgorithm: Deprecated.
withSubmodelOutput2VectorConverter(IgniteFunction<IA, Vector>) - Method in class org.apache.ignite.ml.composition.stacking.StackedDatasetTrainer: Deprecated.

Set function used for conversion of submodel output to Vector.
withSubmodelOutput2VectorConverter(IgniteFunction<Vector, Vector>) - Method in class org.apache.ignite.ml.composition.stacking.StackedVectorDatasetTrainer: Deprecated.

Set function used for conversion of submodel output to Vector.
withSubSampleSize(double) - Method in class org.apache.ignite.ml.tree.randomforest.RandomForestTrainer: Deprecated.
withSums(double[]) - Method in class org.apache.ignite.ml.preprocessing.imputing.ImputerPartitionData: Deprecated.

Sets the array of sums of values in partition for each feature in the dataset.
withThreshold(double) - Method in class org.apache.ignite.ml.preprocessing.binarization.BinarizationTrainer: Deprecated.

Set the threshold parameter value.
withThreshold(double) - Method in class org.apache.ignite.ml.regressions.logistic.LogisticRegressionModel: Deprecated.

Set up the threshold.
withThreshold(double) - Method in class org.apache.ignite.ml.svm.SVMLinearClassificationModel: Deprecated.

Set up the threshold.
withTrainer(DatasetTrainer<M, L>) - Method in class org.apache.ignite.ml.selection.cv.AbstractCrossValidation: Deprecated.
withTrainerEnvironment(LearningEnvironment) - Method in class org.apache.ignite.ml.recommendation.RecommendationTrainer: Deprecated.

Set up trainer learning environment.
withUpdatesStgy(UpdatesStrategy<? super MultilayerPerceptron, P>) - Method in class org.apache.ignite.ml.nn.MLPTrainer: Deprecated.

Set up the update strategy that defines how to update model parameters during the training.
withUpdatesStgy(UpdatesStrategy) - Method in class org.apache.ignite.ml.regressions.logistic.LogisticRegressionSGDTrainer: Deprecated.

Set up the regularization parameter.
withUpstreamCache(IgniteCache<K, V>) - Method in class org.apache.ignite.ml.selection.cv.CrossValidation: Deprecated.
withUpstreamMap(Map<K, V>) - Method in class org.apache.ignite.ml.selection.cv.DebugCrossValidation: Deprecated.
withUpstreamTransformer(UpstreamTransformerBuilder) - Method in interface org.apache.ignite.ml.dataset.DatasetBuilder: Deprecated.

Returns new instance of DatasetBuilder with new UpstreamTransformerBuilder added to chain of upstream transformer builders.
withUpstreamTransformer(UpstreamTransformerBuilder) - Method in class org.apache.ignite.ml.dataset.impl.cache.CacheBasedDatasetBuilder: Deprecated.

Returns new instance of DatasetBuilder with new UpstreamTransformerBuilder added to chain of upstream transformer builders.
withUpstreamTransformer(UpstreamTransformerBuilder) - Method in class org.apache.ignite.ml.dataset.impl.local.LocalDatasetBuilder: Deprecated.

Returns new instance of DatasetBuilder with new UpstreamTransformerBuilder added to chain of upstream transformer builders.
withUpstreamTransformerBuilder(UpstreamTransformerBuilder) - Method in class org.apache.ignite.ml.trainers.AdaptableDatasetTrainer: Deprecated.

Specify which UpstreamTransformerBuilder will be used.
withUseIndex(boolean) - Method in class org.apache.ignite.ml.tree.DecisionTreeClassificationTrainer: Deprecated.

Sets useIndex parameter and returns trainer instance.
withUsingIdx(boolean) - Method in class org.apache.ignite.ml.tree.boosting.GDBBinaryClassifierOnTreesTrainer: Deprecated.

Set useIndex parameter and returns trainer instance.
withUsingIdx(boolean) - Method in class org.apache.ignite.ml.tree.boosting.GDBRegressionOnTreesTrainer: Deprecated.

Set useIndex parameter and returns trainer instance.
withUsingIdx(boolean) - Method in class org.apache.ignite.ml.tree.DecisionTreeRegressionTrainer: Deprecated.

Sets usingIdx parameter and returns trainer instance.
withValuesByFrequency(Map<Double, Integer>[]) - Method in class org.apache.ignite.ml.preprocessing.imputing.ImputerPartitionData: Deprecated.

Sets the array of maps of frequencies by value in partition for each feature in the dataset.
withVector2SubmodelInputConverter(IgniteFunction<Vector, IS>) - Method in class org.apache.ignite.ml.composition.stacking.StackedDatasetTrainer: Deprecated.

Set function used for conversion of Vector to submodel input.
withVector2SubmodelInputConverter(IgniteFunction<Vector, Vector>) - Method in class org.apache.ignite.ml.composition.stacking.StackedVectorDatasetTrainer: Deprecated.

Set function used for conversion of Vector to submodel input.
withWeighted(boolean) - Method in class org.apache.ignite.ml.knn.KNNTrainer: Deprecated.

Sets up weighted parameter.
withWeighted(boolean) - Method in class org.apache.ignite.ml.knn.NNClassificationModel: Deprecated.

Sets up weighted parameter.
withWeights(Vector) - Method in class org.apache.ignite.ml.regressions.logistic.LogisticRegressionModel: Deprecated.

Set up the weights.
withWeights(Vector) - Method in class org.apache.ignite.ml.svm.SVMLinearClassificationModel: Deprecated.

Set up the weights.
wrap(IgniteFunction<Dataset<C, D>, I>) - Method in interface org.apache.ignite.ml.dataset.Dataset: Deprecated.

Wraps this dataset into the specified wrapper to introduce new functionality based on compute and computeWithCtx methods.
writeExternal(ObjectOutput) - Method in class org.apache.ignite.ml.dataset.impl.bootstrapping.BootstrappedVector: Deprecated.
writeExternal(ObjectOutput) - Method in class org.apache.ignite.ml.math.distances.EuclideanDistance: Deprecated.
writeExternal(ObjectOutput) - Method in class org.apache.ignite.ml.math.distances.HammingDistance: Deprecated.
writeExternal(ObjectOutput) - Method in class org.apache.ignite.ml.math.distances.ManhattanDistance: Deprecated.
writeExternal(ObjectOutput) - Method in class org.apache.ignite.ml.math.primitives.matrix.AbstractMatrix: Deprecated.
writeExternal(ObjectOutput) - Method in class org.apache.ignite.ml.math.primitives.matrix.storage.DenseMatrixStorage: Deprecated.
writeExternal(ObjectOutput) - Method in class org.apache.ignite.ml.math.primitives.matrix.storage.SparseMatrixStorage: Deprecated.
writeExternal(ObjectOutput) - Method in class org.apache.ignite.ml.math.primitives.matrix.storage.ViewMatrixStorage: Deprecated.
writeExternal(ObjectOutput) - Method in class org.apache.ignite.ml.math.primitives.vector.AbstractVector: Deprecated.
writeExternal(ObjectOutput) - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingNamedVector: Deprecated.
writeExternal(ObjectOutput) - Method in class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingVector: Deprecated.
writeExternal(ObjectOutput) - Method in class org.apache.ignite.ml.math.primitives.vector.impl.VectorizedViewMatrix: Deprecated.
writeExternal(ObjectOutput) - Method in class org.apache.ignite.ml.math.primitives.vector.storage.DenseVectorStorage: Deprecated.
writeExternal(ObjectOutput) - Method in class org.apache.ignite.ml.math.primitives.vector.storage.SparseVectorStorage: Deprecated.
writeExternal(ObjectOutput) - Method in class org.apache.ignite.ml.math.primitives.vector.storage.VectorizedViewMatrixStorage: Deprecated.
writeExternal(ObjectOutput) - Method in class org.apache.ignite.ml.math.primitives.vector.storage.VectorViewStorage: Deprecated.
writeExternal(ObjectOutput) - Method in class org.apache.ignite.ml.structures.Dataset: Deprecated.
writeExternal(ObjectOutput) - Method in class org.apache.ignite.ml.structures.DatasetRow: Deprecated.
writeExternal(ObjectOutput) - Method in class org.apache.ignite.ml.structures.FeatureMetadata: Deprecated.
writeExternal(ObjectOutput) - Method in class org.apache.ignite.ml.structures.LabeledVector: Deprecated.

Z

zero() - Method in class org.apache.ignite.ml.dataset.feature.extractor.ExtractionUtils.DefaultLabelVectorizer: Deprecated.

Returns default label value for unlabeled data.
zero() - Method in class org.apache.ignite.ml.dataset.feature.extractor.impl.LabeledDummyVectorizer: Deprecated.

Returns default label value for unlabeled data.
zero() - Method in class org.apache.ignite.ml.dataset.feature.extractor.Vectorizer.VectorizerAdapter: Deprecated.

Returns default label value for unlabeled data.
zero() - Method in class org.apache.ignite.ml.dataset.feature.extractor.Vectorizer: Deprecated.

Returns default label value for unlabeled data.
zero(int) - Static method in class org.apache.ignite.ml.util.generators.primitives.vector.VectorGeneratorPrimitives: Deprecated.
zeroes(int) - Static method in class org.apache.ignite.ml.math.primitives.vector.VectorUtils: Deprecated.

Create new
zeroesLike(Vector) - Static method in class org.apache.ignite.ml.math.primitives.vector.VectorUtils: Deprecated.

Create new vector like given vector initialized by zeroes.
zipFoldByColumns(Matrix, Matrix, IgniteBiFunction<Vector, Vector, Double>) - Static method in class org.apache.ignite.ml.math.util.MatrixUtil: Deprecated.

Zips two matrices by column-by-column with specified function.
zipFoldByRows(Matrix, Matrix, IgniteBiFunction<Vector, Vector, Double>) - Static method in class org.apache.ignite.ml.math.util.MatrixUtil: Deprecated.

Zips two matrices by row-by-row with specified function.
zipWith(Vector, Vector, IgniteBiFunction<Double, Double, Double>) - Static method in class org.apache.ignite.ml.math.primitives.vector.VectorUtils: Deprecated.

Zip two vectors with given binary function (i.e. apply binary function to both vector elementwise and construct vector from results).
zipWith(Vector, Vector, IgniteTriFunction<Double, Double, Integer, Double>) - Static method in class org.apache.ignite.ml.math.util.MatrixUtil: Deprecated.

Zip two vectors with given tri-function taking as third argument position in vector (i.e. apply binary function to both vector elementwise and construct vector from results).

A B C D E F G H I K L M N O P R S T U V W Z