Hierarchy For All Packages

Package Hierarchies:

• org.apache.ignite.ml,
• org.apache.ignite.ml.clustering,
• org.apache.ignite.ml.clustering.gmm,
• org.apache.ignite.ml.clustering.kmeans,
• org.apache.ignite.ml.composition,
• org.apache.ignite.ml.composition.bagging,
• org.apache.ignite.ml.composition.boosting,
• org.apache.ignite.ml.composition.boosting.convergence,
• org.apache.ignite.ml.composition.boosting.convergence.mean,
• org.apache.ignite.ml.composition.boosting.convergence.median,
• org.apache.ignite.ml.composition.boosting.convergence.simple,
• org.apache.ignite.ml.composition.boosting.loss,
• org.apache.ignite.ml.composition.combinators,
• org.apache.ignite.ml.composition.combinators.parallel,
• org.apache.ignite.ml.composition.combinators.sequential,
• org.apache.ignite.ml.composition.predictionsaggregator,
• org.apache.ignite.ml.composition.stacking,
• org.apache.ignite.ml.dataset,
• org.apache.ignite.ml.dataset.feature,
• org.apache.ignite.ml.dataset.feature.extractor,
• org.apache.ignite.ml.dataset.feature.extractor.impl,
• org.apache.ignite.ml.dataset.impl,
• org.apache.ignite.ml.dataset.impl.bootstrapping,
• org.apache.ignite.ml.dataset.impl.cache,
• org.apache.ignite.ml.dataset.impl.cache.util,
• org.apache.ignite.ml.dataset.impl.local,
• org.apache.ignite.ml.dataset.primitive,
• org.apache.ignite.ml.dataset.primitive.builder,
• org.apache.ignite.ml.dataset.primitive.builder.context,
• org.apache.ignite.ml.dataset.primitive.builder.data,
• org.apache.ignite.ml.dataset.primitive.context,
• org.apache.ignite.ml.dataset.primitive.data,
• org.apache.ignite.ml.environment,
• org.apache.ignite.ml.environment.deploy,
• org.apache.ignite.ml.environment.logging,
• org.apache.ignite.ml.environment.parallelism,
• org.apache.ignite.ml.genetic,
• org.apache.ignite.ml.genetic.cache,
• org.apache.ignite.ml.genetic.functions,
• org.apache.ignite.ml.genetic.parameter,
• org.apache.ignite.ml.genetic.utils,
• org.apache.ignite.ml.inference,
• org.apache.ignite.ml.inference.builder,
• org.apache.ignite.ml.inference.parser,
• org.apache.ignite.ml.inference.reader,
• org.apache.ignite.ml.inference.storage,
• org.apache.ignite.ml.inference.storage.descriptor,
• org.apache.ignite.ml.inference.storage.model,
• org.apache.ignite.ml.inference.storage.model.thinclient,
• org.apache.ignite.ml.inference.util,
• org.apache.ignite.ml.knn,
• org.apache.ignite.ml.knn.ann,
• org.apache.ignite.ml.knn.classification,
• org.apache.ignite.ml.knn.regression,
• org.apache.ignite.ml.knn.utils,
• org.apache.ignite.ml.knn.utils.indices,
• org.apache.ignite.ml.math,
• org.apache.ignite.ml.math.distances,
• org.apache.ignite.ml.math.exceptions,
• org.apache.ignite.ml.math.exceptions.knn,
• org.apache.ignite.ml.math.exceptions.preprocessing,
• org.apache.ignite.ml.math.functions,
• org.apache.ignite.ml.math.isolve,
• org.apache.ignite.ml.math.isolve.lsqr,
• org.apache.ignite.ml.math.primitives,
• org.apache.ignite.ml.math.primitives.matrix,
• org.apache.ignite.ml.math.primitives.matrix.impl,
• org.apache.ignite.ml.math.primitives.matrix.storage,
• org.apache.ignite.ml.math.primitives.vector,
• org.apache.ignite.ml.math.primitives.vector.impl,
• org.apache.ignite.ml.math.primitives.vector.storage,
• org.apache.ignite.ml.math.stat,
• org.apache.ignite.ml.math.util,
• org.apache.ignite.ml.multiclass,
• org.apache.ignite.ml.naivebayes,
• org.apache.ignite.ml.naivebayes.discrete,
• org.apache.ignite.ml.naivebayes.gaussian,
• org.apache.ignite.ml.nn,
• org.apache.ignite.ml.nn.architecture,
• org.apache.ignite.ml.nn.initializers,
• org.apache.ignite.ml.optimization,
• org.apache.ignite.ml.optimization.updatecalculators,
• org.apache.ignite.ml.pipeline,
• org.apache.ignite.ml.preprocessing,
• org.apache.ignite.ml.preprocessing.binarization,
• org.apache.ignite.ml.preprocessing.developer,
• org.apache.ignite.ml.preprocessing.encoding,
• org.apache.ignite.ml.preprocessing.encoding.onehotencoder,
• org.apache.ignite.ml.preprocessing.encoding.stringencoder,
• org.apache.ignite.ml.preprocessing.imputing,
• org.apache.ignite.ml.preprocessing.maxabsscaling,
• org.apache.ignite.ml.preprocessing.minmaxscaling,
• org.apache.ignite.ml.preprocessing.normalization,
• org.apache.ignite.ml.preprocessing.standardscaling,
• org.apache.ignite.ml.recommendation,
• org.apache.ignite.ml.recommendation.util,
• org.apache.ignite.ml.regressions,
• org.apache.ignite.ml.regressions.linear,
• org.apache.ignite.ml.regressions.logistic,
• org.apache.ignite.ml.selection,
• org.apache.ignite.ml.selection.cv,
• org.apache.ignite.ml.selection.paramgrid,
• org.apache.ignite.ml.selection.scoring,
• org.apache.ignite.ml.selection.scoring.cursor,
• org.apache.ignite.ml.selection.scoring.evaluator,
• org.apache.ignite.ml.selection.scoring.metric,
• org.apache.ignite.ml.selection.scoring.metric.classification,
• org.apache.ignite.ml.selection.scoring.metric.exceptions,
• org.apache.ignite.ml.selection.scoring.metric.regression,
• org.apache.ignite.ml.selection.split,
• org.apache.ignite.ml.selection.split.mapper,
• org.apache.ignite.ml.sql,
• org.apache.ignite.ml.structures,
• org.apache.ignite.ml.structures.partition,
• org.apache.ignite.ml.structures.preprocessing,
• org.apache.ignite.ml.svm,
• org.apache.ignite.ml.trainers,
• org.apache.ignite.ml.trainers.transformers,
• org.apache.ignite.ml.tree,
• org.apache.ignite.ml.tree.boosting,
• org.apache.ignite.ml.tree.data,
• org.apache.ignite.ml.tree.impurity,
• org.apache.ignite.ml.tree.impurity.gini,
• org.apache.ignite.ml.tree.impurity.mse,
• org.apache.ignite.ml.tree.impurity.util,
• org.apache.ignite.ml.tree.leaf,
• org.apache.ignite.ml.tree.randomforest,
• org.apache.ignite.ml.tree.randomforest.data,
• org.apache.ignite.ml.tree.randomforest.data.impurity,
• org.apache.ignite.ml.tree.randomforest.data.impurity.basic,
• org.apache.ignite.ml.tree.randomforest.data.statistics,
• org.apache.ignite.ml.util,
• org.apache.ignite.ml.util.generators,
• org.apache.ignite.ml.util.generators.primitives,
• org.apache.ignite.ml.util.generators.primitives.scalar,
• org.apache.ignite.ml.util.generators.primitives.vector,
• org.apache.ignite.ml.util.generators.standard,
• org.apache.ignite.ml.util.genetic,
• org.apache.ignite.ml.util.plugin

Class Hierarchy

• java.lang.Object
  • org.apache.ignite.ml.selection.cv.AbstractCrossValidation<M,L,K,V>
    • org.apache.ignite.ml.selection.cv.CrossValidation<M,L,K,V>
    • org.apache.ignite.ml.selection.cv.DebugCrossValidation<M,L,K,V>
  • org.apache.ignite.ml.selection.cv.AbstractCrossValidation.TaskResult
  • org.apache.ignite.ml.math.isolve.lsqr.AbstractLSQR
    • org.apache.ignite.ml.math.isolve.lsqr.LSQROnHeap<K,V> (implements java.lang.AutoCloseable)
  • java.util.AbstractMap<K,V> (implements java.util.Map<K,V>)
    • java.util.HashMap<K,V> (implements java.lang.Cloneable, java.util.Map<K,V>, java.io.Serializable)
      • java.util.LinkedHashMap<K,V> (implements java.util.Map<K,V>)
        • org.apache.ignite.ml.util.LRUCache<K,V>
  • org.apache.ignite.ml.math.primitives.matrix.AbstractMatrix (implements org.apache.ignite.ml.math.primitives.matrix.Matrix)
    • org.apache.ignite.ml.math.primitives.matrix.impl.DenseMatrix (implements org.apache.ignite.ml.math.primitives.matrix.OrderedMatrix)
    • org.apache.ignite.ml.math.primitives.matrix.impl.SparseMatrix (implements org.apache.ignite.ml.math.StorageConstants)
    • org.apache.ignite.ml.math.primitives.matrix.impl.ViewMatrix
  • org.apache.ignite.ml.selection.scoring.metric.AbstractMetrics<M> (implements org.apache.ignite.ml.selection.scoring.metric.Metric<L>)
    • org.apache.ignite.ml.selection.scoring.metric.classification.BinaryClassificationMetrics
    • org.apache.ignite.ml.selection.scoring.metric.regression.RegressionMetrics
  • org.apache.ignite.ml.math.primitives.vector.AbstractVector (implements org.apache.ignite.ml.math.primitives.vector.Vector)
    • org.apache.ignite.ml.math.primitives.vector.impl.DenseVector
    • org.apache.ignite.ml.math.primitives.vector.impl.SparseVector (implements org.apache.ignite.ml.math.StorageConstants)
    • org.apache.ignite.ml.math.primitives.vector.impl.VectorizedViewMatrix
    • org.apache.ignite.ml.math.primitives.vector.impl.VectorView
  • org.apache.ignite.ml.selection.scoring.metric.classification.Accuracy<L> (implements org.apache.ignite.ml.selection.scoring.metric.Metric<L>)
  • org.apache.ignite.ml.nn.Activators
  • org.apache.ignite.ml.trainers.AdaptableDatasetModel<I,O,IW,OW,M> (implements org.apache.ignite.ml.IgniteModel<T,V>)
  • org.apache.ignite.ml.knn.ann.ANNClassificationTrainer.CentroidStat (implements java.io.Serializable)
  • org.apache.ignite.ml.knn.utils.indices.ArraySpatialIndex<L> (implements org.apache.ignite.ml.knn.utils.indices.SpatialIndex<L>)
  • org.apache.ignite.ml.composition.bagging.BaggedModel (implements org.apache.ignite.ml.environment.deploy.DeployableObject, org.apache.ignite.ml.IgniteModel<T,V>)
  • org.apache.ignite.ml.trainers.transformers.BaggingUpstreamTransformer (implements org.apache.ignite.ml.dataset.UpstreamTransformer)
  • org.apache.ignite.ml.knn.utils.indices.BallTreeSpatialIndex<L> (implements org.apache.ignite.ml.knn.utils.indices.SpatialIndex<L>)
  • org.apache.ignite.ml.preprocessing.binarization.BinarizationPreprocessor<K,V> (implements org.apache.ignite.ml.environment.deploy.DeployableObject, org.apache.ignite.ml.preprocessing.Preprocessor<K,V>)
  • org.apache.ignite.ml.preprocessing.binarization.BinarizationTrainer<K,V> (implements org.apache.ignite.ml.preprocessing.PreprocessingTrainer<K,V>)
  • org.apache.ignite.ml.selection.scoring.metric.classification.BinaryClassificationMetricValues (implements org.apache.ignite.ml.selection.scoring.metric.MetricValues)
  • org.apache.ignite.ml.dataset.feature.extractor.impl.BinaryObjectVectorizer.Mapping
  • org.apache.ignite.ml.math.Blas
  • org.apache.ignite.ml.dataset.impl.bootstrapping.BootstrappedDatasetBuilder<K,V> (implements org.apache.ignite.ml.dataset.PartitionDataBuilder<K,V,C,D>)
  • org.apache.ignite.ml.dataset.impl.bootstrapping.BootstrappedDatasetPartition (implements java.lang.AutoCloseable, java.lang.Iterable<T>)
  • org.apache.ignite.ml.dataset.feature.BucketMeta (implements java.io.Serializable)
  • org.apache.ignite.ml.dataset.impl.cache.CacheBasedDataset<K,V,C,D> (implements org.apache.ignite.ml.dataset.Dataset<C,D>)
  • org.apache.ignite.ml.dataset.impl.cache.CacheBasedDatasetBuilder<K,V> (implements org.apache.ignite.ml.dataset.DatasetBuilder<K,V>)
    • org.apache.ignite.ml.sql.SqlDatasetBuilder
  • org.apache.ignite.ml.selection.scoring.cursor.CacheBasedLabelPairCursor<L,K,V> (implements org.apache.ignite.ml.selection.scoring.cursor.LabelPairCursor<L>)
  • org.apache.ignite.ml.genetic.Chromosome
  • org.apache.ignite.ml.util.genetic.Chromosome (implements java.lang.Comparable<T>)
  • org.apache.ignite.ml.genetic.parameter.ChromosomeCriteria
  • org.apache.ignite.ml.selection.scoring.metric.classification.ClassMetric<L> (implements org.apache.ignite.ml.selection.scoring.metric.Metric<L>)
    • org.apache.ignite.ml.selection.scoring.metric.classification.Fmeasure<L>
    • org.apache.ignite.ml.selection.scoring.metric.classification.Precision<L>
    • org.apache.ignite.ml.selection.scoring.metric.classification.Recall<L>
  • org.apache.ignite.internal.processors.odbc.ClientListenerResponse
    • org.apache.ignite.internal.processors.platform.client.ClientResponse (implements org.apache.ignite.internal.processors.platform.client.ClientOutgoingMessage)
      • org.apache.ignite.ml.inference.storage.model.thinclient.FileRespose
      • org.apache.ignite.ml.inference.storage.model.thinclient.FilesListResponse
      • org.apache.ignite.ml.inference.storage.model.thinclient.FileStatResponse
  • org.apache.ignite.ml.composition.CompositionUtils
  • org.apache.ignite.compute.ComputeJobAdapter (implements java.util.concurrent.Callable<V>, org.apache.ignite.compute.ComputeJob)
    • org.apache.ignite.ml.genetic.CrossOverJob
    • org.apache.ignite.ml.genetic.FitnessJob
    • org.apache.ignite.ml.genetic.MutateJob
    • org.apache.ignite.ml.genetic.RouletteWheelSelectionJob
    • org.apache.ignite.ml.genetic.TruncateSelectionJob
  • org.apache.ignite.compute.ComputeTaskAdapter<T,R> (implements org.apache.ignite.compute.ComputeTask<T,R>)
    • org.apache.ignite.ml.genetic.CrossOverTask
    • org.apache.ignite.ml.genetic.FitnessTask
    • org.apache.ignite.ml.genetic.MutateTask
    • org.apache.ignite.ml.genetic.RouletteWheelSelectionTask
    • org.apache.ignite.ml.genetic.TruncateSelectionTask
  • org.apache.ignite.ml.dataset.impl.cache.util.ComputeUtils
  • org.apache.ignite.ml.environment.logging.ConsoleLogger (implements org.apache.ignite.ml.environment.logging.MLLogger)
  • org.apache.ignite.ml.environment.logging.ConsoleLogger.Factory (implements org.apache.ignite.ml.environment.logging.MLLogger.Factory)
  • org.apache.ignite.ml.composition.boosting.convergence.ConvergenceChecker<K,V> (implements java.io.Serializable)
    • org.apache.ignite.ml.composition.boosting.convergence.simple.ConvergenceCheckerStub<K,V>
    • org.apache.ignite.ml.composition.boosting.convergence.mean.MeanAbsValueConvergenceChecker<K,V>
    • org.apache.ignite.ml.composition.boosting.convergence.median.MedianOfMedianConvergenceChecker<K,V>
  • org.apache.ignite.ml.composition.boosting.convergence.ConvergenceCheckerFactory
    • org.apache.ignite.ml.composition.boosting.convergence.simple.ConvergenceCheckerStubFactory
    • org.apache.ignite.ml.composition.boosting.convergence.mean.MeanAbsValueConvergenceCheckerFactory
    • org.apache.ignite.ml.composition.boosting.convergence.median.MedianOfMedianConvergenceCheckerFactory
  • org.apache.ignite.ml.clustering.gmm.CovarianceMatricesAggregator (implements java.io.Serializable)
  • org.apache.ignite.ml.selection.cv.CrossValidationResult
  • org.apache.ignite.ml.environment.logging.CustomMLLogger (implements org.apache.ignite.ml.environment.logging.MLLogger)
  • org.apache.ignite.ml.structures.Dataset<Row> (implements java.io.Externalizable, java.io.Serializable)
    • org.apache.ignite.ml.structures.LabeledVectorSet<Row> (implements java.lang.AutoCloseable)
  • org.apache.ignite.ml.dataset.impl.cache.util.DatasetAffinityFunctionWrapper (implements org.apache.ignite.cache.affinity.AffinityFunction)
  • org.apache.ignite.ml.dataset.DatasetFactory
  • org.apache.ignite.ml.structures.DatasetRow<V> (implements java.io.Externalizable, java.io.Serializable)
    • org.apache.ignite.ml.structures.LabeledVector<L>
      • org.apache.ignite.ml.dataset.impl.bootstrapping.BootstrappedVector
  • org.apache.ignite.ml.trainers.DatasetTrainer<M,L>
    • org.apache.ignite.ml.trainers.AdaptableDatasetTrainer<I,O,IW,OW,M,L>
    • org.apache.ignite.ml.composition.bagging.BaggedTrainer<L>
    • org.apache.ignite.ml.composition.boosting.GDBTrainer
      • org.apache.ignite.ml.composition.boosting.GDBBinaryClassifierTrainer
        • org.apache.ignite.ml.tree.boosting.GDBBinaryClassifierOnTreesTrainer
      • org.apache.ignite.ml.composition.boosting.GDBRegressionTrainer
        • org.apache.ignite.ml.tree.boosting.GDBRegressionOnTreesTrainer
    • org.apache.ignite.ml.trainers.MultiLabelDatasetTrainer<M>
      • org.apache.ignite.ml.nn.MLPTrainer<P>
    • org.apache.ignite.ml.trainers.SingleLabelDatasetTrainer<M>
      • org.apache.ignite.ml.knn.ann.ANNClassificationTrainer
      • org.apache.ignite.ml.tree.DecisionTree<T>
        • org.apache.ignite.ml.tree.DecisionTreeClassificationTrainer
        • org.apache.ignite.ml.tree.DecisionTreeRegressionTrainer
      • org.apache.ignite.ml.naivebayes.discrete.DiscreteNaiveBayesTrainer
      • org.apache.ignite.ml.naivebayes.gaussian.GaussianNaiveBayesTrainer
      • org.apache.ignite.ml.clustering.gmm.GmmTrainer
      • org.apache.ignite.ml.clustering.kmeans.KMeansTrainer
      • org.apache.ignite.ml.knn.KNNTrainer<M,Self>
        • org.apache.ignite.ml.knn.classification.KNNClassificationTrainer
        • org.apache.ignite.ml.knn.regression.KNNRegressionTrainer
      • org.apache.ignite.ml.regressions.linear.LinearRegressionLSQRTrainer
      • org.apache.ignite.ml.regressions.linear.LinearRegressionSGDTrainer<P>
      • org.apache.ignite.ml.regressions.logistic.LogisticRegressionSGDTrainer
      • org.apache.ignite.ml.multiclass.OneVsRestTrainer<M>
      • org.apache.ignite.ml.tree.randomforest.RandomForestTrainer<L,S,T>
        • org.apache.ignite.ml.tree.randomforest.RandomForestClassifierTrainer
        • org.apache.ignite.ml.tree.randomforest.RandomForestRegressionTrainer
      • org.apache.ignite.ml.svm.SVMLinearClassificationTrainer
    • org.apache.ignite.ml.composition.stacking.StackedDatasetTrainer<IS,IA,O,AM,L>
      • org.apache.ignite.ml.composition.stacking.SimpleStackedDatasetTrainer<I,O,AM,L>
        • org.apache.ignite.ml.composition.stacking.StackedVectorDatasetTrainer<O,AM,L>
    • org.apache.ignite.ml.composition.combinators.parallel.TrainersParallelComposition<I,O,L>
    • org.apache.ignite.ml.composition.combinators.sequential.TrainersSequentialComposition<I,O1,O2,L>
  • org.apache.ignite.ml.dataset.primitive.DatasetWrapper<C,D> (implements org.apache.ignite.ml.dataset.Dataset<C,D>)
    • org.apache.ignite.ml.dataset.primitive.SimpleDataset<C>
    • org.apache.ignite.ml.dataset.primitive.SimpleLabeledDataset<C>
  • org.apache.ignite.ml.tree.DecisionTreeConditionalNode (implements org.apache.ignite.ml.tree.DecisionTreeNode)
  • org.apache.ignite.ml.tree.data.DecisionTreeDataBuilder<K,V,C> (implements org.apache.ignite.ml.dataset.PartitionDataBuilder<K,V,C,D>)
  • org.apache.ignite.ml.tree.DecisionTreeLeafNode (implements org.apache.ignite.ml.tree.DecisionTreeNode)
  • org.apache.ignite.ml.environment.DefaultLearningEnvironmentBuilder (implements org.apache.ignite.ml.environment.LearningEnvironmentBuilder)
  • org.apache.ignite.ml.inference.storage.model.DefaultModelStorage (implements org.apache.ignite.ml.inference.storage.model.ModelStorage)
  • org.apache.ignite.ml.environment.parallelism.DefaultParallelismStrategy (implements org.apache.ignite.ml.environment.parallelism.ParallelismStrategy)
  • org.apache.ignite.ml.environment.parallelism.DefaultParallelismStrategy.FutureWrapper<T> (implements org.apache.ignite.ml.environment.parallelism.Promise<T>)
  • org.apache.ignite.ml.math.primitives.vector.impl.DelegatingVector (implements org.apache.ignite.ml.math.primitives.vector.Vector)
    • org.apache.ignite.ml.math.primitives.vector.impl.DelegatingNamedVector (implements org.apache.ignite.ml.math.primitives.vector.NamedVector)
  • org.apache.ignite.ml.math.primitives.matrix.storage.DenseMatrixStorage (implements org.apache.ignite.ml.math.primitives.matrix.MatrixStorage)
  • org.apache.ignite.ml.math.primitives.vector.storage.DenseVectorStorage (implements org.apache.ignite.ml.math.primitives.vector.VectorStorage)
  • org.apache.ignite.ml.environment.deploy.DeployingContextImpl (implements org.apache.ignite.ml.environment.deploy.DeployingContext)
  • org.apache.ignite.ml.inference.util.DirectorySerializer
  • org.apache.ignite.ml.naivebayes.discrete.DiscreteNaiveBayesModel (implements org.apache.ignite.ml.Exportable<D>, org.apache.ignite.ml.IgniteModel<T,V>, java.io.Serializable)
  • org.apache.ignite.ml.naivebayes.discrete.DiscreteNaiveBayesSumsHolder (implements java.lang.AutoCloseable, java.io.Serializable)
  • org.apache.ignite.ml.util.generators.primitives.scalar.DiscreteRandomProducer
  • org.apache.ignite.ml.math.stat.DistributionMixture<C> (implements org.apache.ignite.ml.math.stat.Distribution)
    • org.apache.ignite.ml.clustering.gmm.GmmModel (implements org.apache.ignite.ml.environment.deploy.DeployableObject, org.apache.ignite.ml.IgniteModel<T,V>)
  • org.apache.ignite.ml.dataset.primitive.context.EmptyContext (implements java.io.Serializable)
  • org.apache.ignite.ml.dataset.primitive.builder.context.EmptyContextBuilder<K,V> (implements org.apache.ignite.ml.dataset.PartitionContextBuilder<K,V,C>)
  • org.apache.ignite.ml.preprocessing.encoding.EncoderPartitionData (implements java.lang.AutoCloseable)
  • org.apache.ignite.ml.preprocessing.encoding.EncoderPreprocessor<K,V> (implements org.apache.ignite.ml.preprocessing.Preprocessor<K,V>)
    • org.apache.ignite.ml.preprocessing.encoding.onehotencoder.OneHotEncoderPreprocessor<K,V> (implements org.apache.ignite.ml.environment.deploy.DeployableObject)
    • org.apache.ignite.ml.preprocessing.encoding.stringencoder.StringEncoderPreprocessor<K,V> (implements org.apache.ignite.ml.environment.deploy.DeployableObject)
  • org.apache.ignite.ml.preprocessing.encoding.EncoderTrainer<K,V> (implements org.apache.ignite.ml.preprocessing.PreprocessingTrainer<K,V>)
  • org.apache.ignite.ml.math.distances.EuclideanDistance (implements org.apache.ignite.ml.math.distances.DistanceMeasure)
  • org.apache.ignite.ml.selection.scoring.evaluator.Evaluator
  • org.apache.ignite.ml.dataset.feature.extractor.ExtractionUtils
  • org.apache.ignite.ml.dataset.primitive.FeatureMatrixWithLabelsOnHeapData (implements java.lang.AutoCloseable)
    • org.apache.ignite.ml.tree.data.DecisionTreeData (implements java.lang.AutoCloseable)
  • org.apache.ignite.ml.dataset.primitive.FeatureMatrixWithLabelsOnHeapDataBuilder<K,V,C,CO> (implements org.apache.ignite.ml.dataset.PartitionDataBuilder<K,V,C,D>)
  • org.apache.ignite.ml.dataset.feature.FeatureMeta (implements java.io.Serializable)
  • org.apache.ignite.ml.structures.FeatureMetadata (implements java.io.Externalizable, java.io.Serializable)
  • org.apache.ignite.ml.tree.randomforest.data.FeaturesCountSelectionStrategies
  • org.apache.ignite.ml.FileExporter<D> (implements org.apache.ignite.ml.Exporter<D,P>)
  • org.apache.ignite.ml.inference.storage.model.FileStat
  • org.apache.ignite.ml.inference.reader.FileSystemModelReader (implements org.apache.ignite.ml.inference.reader.ModelReader)
  • org.apache.ignite.ml.math.functions.Functions
  • org.apache.ignite.ml.genetic.parameter.GAConfiguration
  • org.apache.ignite.ml.genetic.GAGrid
  • org.apache.ignite.ml.genetic.functions.GAGridFunction
  • org.apache.ignite.ml.genetic.utils.GAGridUtils
  • org.apache.ignite.ml.util.generators.standard.GaussianMixtureDataStream (implements org.apache.ignite.ml.util.generators.DataStreamGenerator)
  • org.apache.ignite.ml.util.generators.standard.GaussianMixtureDataStream.Builder
  • org.apache.ignite.ml.naivebayes.gaussian.GaussianNaiveBayesModel (implements org.apache.ignite.ml.Exportable<D>, org.apache.ignite.ml.IgniteModel<T,V>, java.io.Serializable)
  • org.apache.ignite.ml.util.generators.primitives.scalar.GaussRandomProducer
  • org.apache.ignite.ml.composition.boosting.GDBLearningStrategy
    • org.apache.ignite.ml.tree.boosting.GDBOnTreesLearningStrategy
  • org.apache.ignite.ml.genetic.Gene
  • org.apache.ignite.ml.genetic.cache.GeneCacheConfig
  • org.apache.ignite.ml.util.genetic.GeneticAlgorithm
  • org.apache.ignite.ml.tree.impurity.gini.GiniImpurityMeasure (implements org.apache.ignite.ml.tree.impurity.ImpurityMeasure<T>)
  • org.apache.ignite.ml.math.distances.HammingDistance (implements org.apache.ignite.ml.math.distances.DistanceMeasure)
  • org.apache.ignite.ml.selection.paramgrid.HyperParameterTuningStrategy
    • org.apache.ignite.ml.selection.paramgrid.BruteForceStrategy
    • org.apache.ignite.ml.selection.paramgrid.EvolutionOptimizationStrategy
    • org.apache.ignite.ml.selection.paramgrid.RandomStrategy
  • org.apache.ignite.ml.inference.builder.IgniteDistributedModelBuilder (implements org.apache.ignite.ml.inference.builder.AsyncModelBuilder)
  • org.apache.ignite.ml.inference.storage.descriptor.IgniteModelDescriptorStorage (implements org.apache.ignite.ml.inference.storage.descriptor.ModelDescriptorStorage)
  • org.apache.ignite.ml.inference.parser.IgniteModelParser<I,O> (implements org.apache.ignite.ml.inference.parser.ModelParser<I,O,M>)
  • org.apache.ignite.ml.inference.storage.model.IgniteModelStorageProvider (implements org.apache.ignite.ml.inference.storage.model.ModelStorageProvider)
  • org.apache.ignite.ml.inference.IgniteModelStorageUtil
  • org.apache.ignite.ml.tree.randomforest.data.impurity.ImpurityHistogram (implements java.io.Serializable)
    • org.apache.ignite.ml.tree.randomforest.data.impurity.GiniHistogram (implements org.apache.ignite.ml.tree.randomforest.data.impurity.ImpurityComputer<T,H>)
    • org.apache.ignite.ml.tree.randomforest.data.impurity.MSEHistogram (implements org.apache.ignite.ml.tree.randomforest.data.impurity.ImpurityComputer<T,H>)
  • org.apache.ignite.ml.tree.randomforest.data.impurity.ImpurityHistogramsComputer<S> (implements java.io.Serializable)
    • org.apache.ignite.ml.tree.randomforest.data.impurity.GiniHistogramsComputer
    • org.apache.ignite.ml.tree.randomforest.data.impurity.MSEHistogramComputer
  • org.apache.ignite.ml.tree.randomforest.data.impurity.ImpurityHistogramsComputer.NodeImpurityHistograms<S> (implements java.io.Serializable)
  • org.apache.ignite.ml.tree.impurity.ImpurityMeasureCalculator<T> (implements java.io.Serializable)
    • org.apache.ignite.ml.tree.impurity.gini.GiniImpurityMeasureCalculator
    • org.apache.ignite.ml.tree.impurity.mse.MSEImpurityMeasureCalculator
  • org.apache.ignite.ml.preprocessing.imputing.ImputerPartitionData (implements java.lang.AutoCloseable)
  • org.apache.ignite.ml.preprocessing.imputing.ImputerPreprocessor<K,V> (implements org.apache.ignite.ml.environment.deploy.DeployableObject, org.apache.ignite.ml.preprocessing.Preprocessor<K,V>)
  • org.apache.ignite.ml.preprocessing.imputing.ImputerTrainer<K,V> (implements org.apache.ignite.ml.preprocessing.PreprocessingTrainer<K,V>)
  • org.apache.ignite.ml.inference.reader.InMemoryModelReader (implements org.apache.ignite.ml.inference.reader.ModelReader)
  • org.apache.ignite.ml.math.isolve.IterativeSolverResult (implements java.io.Serializable)
    • org.apache.ignite.ml.math.isolve.lsqr.LSQRResult
  • org.apache.ignite.ml.dataset.impl.cache.util.IteratorWithConcurrentModificationChecker<T> (implements java.util.Iterator<E>)
  • org.apache.ignite.ml.knn.utils.indices.KDTreeSpatialIndex<L> (implements org.apache.ignite.ml.knn.utils.indices.SpatialIndex<L>)
  • org.apache.ignite.ml.clustering.kmeans.KMeansModel (implements org.apache.ignite.ml.clustering.kmeans.ClusterizationModel<P,V>, org.apache.ignite.ml.environment.deploy.DeployableObject, org.apache.ignite.ml.Exportable<D>)
  • org.apache.ignite.ml.clustering.kmeans.KMeansModelFormat (implements java.io.Serializable)
  • org.apache.ignite.ml.clustering.kmeans.KMeansTrainer.TotalCostAndCounts
  • org.apache.ignite.ml.knn.KNNModel<L> (implements org.apache.ignite.ml.IgniteModel<T,V>, org.apache.ignite.ml.knn.utils.indices.SpatialIndex<L>)
    • org.apache.ignite.ml.knn.classification.KNNClassificationModel
    • org.apache.ignite.ml.knn.regression.KNNRegressionModel
  • org.apache.ignite.ml.knn.ann.KNNModelFormat (implements java.io.Serializable)
    • org.apache.ignite.ml.knn.ann.ANNModelFormat
  • org.apache.ignite.ml.knn.KNNPartitionDataBuilder<K,V> (implements org.apache.ignite.ml.dataset.PartitionDataBuilder<K,V,C,D>)
  • org.apache.ignite.ml.knn.utils.KNNUtils
  • org.apache.ignite.ml.structures.preprocessing.LabeledDatasetLoader
  • org.apache.ignite.ml.structures.partition.LabeledDatasetPartitionDataBuilderOnHeap<K,V,C> (implements org.apache.ignite.ml.dataset.PartitionDataBuilder<K,V,C,D>)
  • org.apache.ignite.ml.structures.LabeledVectorSetTestTrainPair (implements java.io.Serializable)
  • org.apache.ignite.ml.selection.scoring.LabelPair<L>
  • org.apache.ignite.ml.structures.partition.LabelPartitionDataBuilderOnHeap<K,V,C> (implements org.apache.ignite.ml.dataset.PartitionDataBuilder<K,V,C,D>)
  • org.apache.ignite.ml.structures.partition.LabelPartitionDataOnHeap (implements java.lang.AutoCloseable)
  • org.apache.ignite.ml.nn.architecture.LayerArchitecture (implements java.io.Serializable)
    • org.apache.ignite.ml.nn.architecture.TransformationLayerArchitecture
  • org.apache.ignite.ml.tree.randomforest.data.statistics.LeafValuesComputer<T> (implements java.io.Serializable)
    • org.apache.ignite.ml.tree.randomforest.data.statistics.ClassifierLeafValuesComputer
    • org.apache.ignite.ml.tree.randomforest.data.statistics.RegressionLeafValuesComputer
  • org.apache.ignite.ml.regressions.linear.LinearRegressionModel (implements org.apache.ignite.ml.Exportable<D>, org.apache.ignite.ml.IgniteModel<T,V>, java.io.Serializable)
  • org.apache.ignite.ml.dataset.impl.local.LocalDataset<C,D> (implements org.apache.ignite.ml.dataset.Dataset<C,D>)
  • org.apache.ignite.ml.dataset.impl.local.LocalDatasetBuilder<K,V> (implements org.apache.ignite.ml.dataset.DatasetBuilder<K,V>)
  • org.apache.ignite.ml.selection.scoring.cursor.LocalLabelPairCursor<L,K,V,T> (implements org.apache.ignite.ml.selection.scoring.cursor.LabelPairCursor<L>)
  • org.apache.ignite.ml.inference.storage.descriptor.LocalModelDescriptorStorage (implements org.apache.ignite.ml.inference.storage.descriptor.ModelDescriptorStorage)
  • org.apache.ignite.ml.inference.storage.model.LocalModelStorageProvider (implements org.apache.ignite.ml.inference.storage.model.ModelStorageProvider)
  • org.apache.ignite.ml.regressions.logistic.LogisticRegressionModel (implements org.apache.ignite.ml.Exportable<D>, org.apache.ignite.ml.IgniteModel<T,V>, java.io.Serializable)
  • org.apache.ignite.ml.composition.boosting.loss.LogLoss (implements org.apache.ignite.ml.composition.boosting.loss.Loss)
  • org.apache.ignite.ml.optimization.LossFunctions
  • org.apache.ignite.ml.math.isolve.lsqr.LSQRPartitionContext (implements java.io.Serializable)
  • org.apache.ignite.ml.math.primitives.matrix.LUDecomposition (implements java.lang.AutoCloseable)
  • org.apache.ignite.ml.math.distances.ManhattanDistance (implements org.apache.ignite.ml.math.distances.DistanceMeasure)
  • org.apache.ignite.ml.preprocessing.developer.MappedPreprocessor<K,V,L0,L1> (implements org.apache.ignite.ml.environment.deploy.DeployableObject, org.apache.ignite.ml.preprocessing.Preprocessor<K,V>)
  • org.apache.ignite.ml.math.util.MapUtil
  • org.apache.ignite.ml.recommendation.util.MatrixFactorizationGradient<O,S> (implements java.io.Serializable)
  • org.apache.ignite.ml.math.util.MatrixUtil
  • org.apache.ignite.ml.preprocessing.maxabsscaling.MaxAbsScalerPartitionData (implements java.lang.AutoCloseable)
  • org.apache.ignite.ml.preprocessing.maxabsscaling.MaxAbsScalerPreprocessor<K,V> (implements org.apache.ignite.ml.environment.deploy.DeployableObject, org.apache.ignite.ml.preprocessing.Preprocessor<K,V>)
  • org.apache.ignite.ml.preprocessing.maxabsscaling.MaxAbsScalerTrainer<K,V> (implements org.apache.ignite.ml.preprocessing.PreprocessingTrainer<K,V>)
  • org.apache.ignite.ml.tree.leaf.MeanDecisionTreeLeafBuilder (implements org.apache.ignite.ml.tree.leaf.DecisionTreeLeafBuilder)
  • org.apache.ignite.ml.composition.predictionsaggregator.MeanValuePredictionsAggregator (implements org.apache.ignite.ml.composition.predictionsaggregator.PredictionsAggregator)
  • org.apache.ignite.ml.tree.randomforest.data.statistics.MeanValueStatistic (implements java.io.Serializable)
  • org.apache.ignite.ml.preprocessing.minmaxscaling.MinMaxScalerPartitionData (implements java.lang.AutoCloseable)
  • org.apache.ignite.ml.preprocessing.minmaxscaling.MinMaxScalerPreprocessor<K,V> (implements org.apache.ignite.ml.environment.deploy.DeployableObject, org.apache.ignite.ml.preprocessing.Preprocessor<K,V>)
  • org.apache.ignite.ml.preprocessing.minmaxscaling.MinMaxScalerTrainer<K,V> (implements org.apache.ignite.ml.preprocessing.PreprocessingTrainer<K,V>)
  • org.apache.ignite.ml.nn.architecture.MLPArchitecture (implements java.io.Serializable)
  • org.apache.ignite.ml.nn.MLPLayer (implements java.io.Serializable)
  • org.apache.ignite.ml.util.plugin.MLPluginConfiguration (implements org.apache.ignite.plugin.PluginConfiguration)
  • org.apache.ignite.ml.util.plugin.MLPluginProvider (implements org.apache.ignite.plugin.PluginProvider<C>)
  • org.apache.ignite.ml.nn.MLPState
  • org.apache.ignite.ml.util.MnistUtils
  • org.apache.ignite.ml.util.MnistUtils.MnistImage
    • org.apache.ignite.ml.util.MnistUtils.MnistLabeledImage
  • org.apache.ignite.ml.inference.ModelDescriptor (implements java.io.Serializable)
  • org.apache.ignite.ml.inference.storage.descriptor.ModelDescriptorStorageFactory
  • org.apache.ignite.ml.composition.ModelOnFeaturesSubspace (implements org.apache.ignite.ml.IgniteModel<T,V>)
  • org.apache.ignite.ml.composition.ModelsComposition (implements org.apache.ignite.ml.environment.deploy.DeployableObject, org.apache.ignite.ml.Exportable<D>, org.apache.ignite.ml.IgniteModel<T,V>)
    • org.apache.ignite.ml.composition.boosting.GDBTrainer.GDBModel
  • org.apache.ignite.ml.composition.ModelsCompositionFormat (implements java.io.Serializable)
  • org.apache.ignite.ml.inference.ModelSignature (implements java.io.Serializable)
  • org.apache.ignite.ml.composition.combinators.parallel.ModelsParallelComposition<I,O> (implements org.apache.ignite.ml.IgniteModel<T,V>)
  • org.apache.ignite.ml.composition.combinators.sequential.ModelsSequentialComposition<I,O1,O2> (implements org.apache.ignite.ml.IgniteModel<T,V>)
  • org.apache.ignite.ml.inference.storage.model.ModelStorageFactory
  • org.apache.ignite.ml.inference.reader.ModelStorageModelReader (implements org.apache.ignite.ml.inference.reader.ModelReader)
  • org.apache.ignite.ml.inference.storage.model.thinclient.ModelStorateThinClientProcessor (implements org.apache.ignite.internal.processors.platform.client.CustomQueryProcessor)
  • org.apache.ignite.ml.util.ModelTrace
  • org.apache.ignite.ml.tree.leaf.MostCommonDecisionTreeLeafBuilder (implements org.apache.ignite.ml.tree.leaf.DecisionTreeLeafBuilder)
  • org.apache.ignite.ml.tree.impurity.mse.MSEImpurityMeasure (implements org.apache.ignite.ml.tree.impurity.ImpurityMeasure<T>)
  • org.apache.ignite.ml.multiclass.MultiClassModel<M> (implements org.apache.ignite.ml.Exportable<D>, org.apache.ignite.ml.IgniteModel<T,V>, java.io.Serializable)
  • org.apache.ignite.ml.nn.MultilayerPerceptron (implements org.apache.ignite.ml.IgniteModel<T,V>, java.io.Serializable, org.apache.ignite.ml.optimization.SmoothParametrized<M>)
  • org.apache.ignite.ml.math.stat.MultivariateGaussianDistribution (implements org.apache.ignite.ml.math.stat.Distribution)
  • org.apache.ignite.ml.optimization.updatecalculators.NesterovParameterUpdate (implements java.io.Serializable)
  • org.apache.ignite.ml.optimization.updatecalculators.NesterovUpdateCalculator<M> (implements org.apache.ignite.ml.optimization.updatecalculators.ParameterUpdateCalculator<M,P>)
  • org.apache.ignite.ml.clustering.gmm.NewComponentStatisticsAggregator (implements java.io.Serializable)
  • org.apache.ignite.ml.knn.NNClassificationModel (implements org.apache.ignite.ml.environment.deploy.DeployableObject, org.apache.ignite.ml.Exportable<D>, org.apache.ignite.ml.IgniteModel<T,V>)
    • org.apache.ignite.ml.knn.ann.ANNClassificationModel
  • org.apache.ignite.ml.tree.randomforest.data.NodeId (implements java.io.Serializable)
  • org.apache.ignite.ml.tree.randomforest.data.NodeSplit (implements java.io.Serializable)
  • org.apache.ignite.ml.environment.logging.NoOpLogger (implements org.apache.ignite.ml.environment.logging.MLLogger)
  • org.apache.ignite.ml.environment.parallelism.NoParallelismStrategy (implements org.apache.ignite.ml.environment.parallelism.ParallelismStrategy)
  • org.apache.ignite.ml.environment.parallelism.NoParallelismStrategy.Stub<T> (implements org.apache.ignite.ml.environment.parallelism.Promise<T>)
  • org.apache.ignite.ml.tree.randomforest.data.statistics.NormalDistributionStatistics (implements java.io.Serializable)
  • org.apache.ignite.ml.tree.randomforest.data.statistics.NormalDistributionStatisticsComputer (implements java.io.Serializable)
  • org.apache.ignite.ml.preprocessing.normalization.NormalizationPreprocessor<K,V> (implements org.apache.ignite.ml.environment.deploy.DeployableObject, org.apache.ignite.ml.preprocessing.Preprocessor<K,V>)
  • org.apache.ignite.ml.preprocessing.normalization.NormalizationTrainer<K,V> (implements org.apache.ignite.ml.preprocessing.PreprocessingTrainer<K,V>)
  • org.apache.ignite.ml.dataset.feature.ObjectHistogram<T> (implements org.apache.ignite.ml.dataset.feature.DistributionComputer, org.apache.ignite.ml.dataset.feature.Histogram<T,H>)
    • org.apache.ignite.ml.tree.randomforest.data.impurity.basic.BootstrappedVectorsHistogram
      • org.apache.ignite.ml.tree.randomforest.data.impurity.basic.CountersHistogram
  • org.apache.ignite.ml.recommendation.ObjectSubjectPair<O,S> (implements java.io.Serializable)
    • org.apache.ignite.ml.recommendation.ObjectSubjectRatingTriplet<O,S>
  • org.apache.ignite.ml.composition.predictionsaggregator.OnMajorityPredictionsAggregator (implements org.apache.ignite.ml.composition.predictionsaggregator.PredictionsAggregator)
  • org.apache.ignite.ml.selection.paramgrid.ParameterSetGenerator
  • org.apache.ignite.ml.util.generators.primitives.vector.ParametricVectorGenerator (implements org.apache.ignite.ml.util.generators.primitives.vector.VectorGenerator)
  • org.apache.ignite.ml.selection.paramgrid.ParamGrid
  • org.apache.ignite.ml.preprocessing.developer.PatchedPreprocessor<K,V,L1,L2> (implements org.apache.ignite.ml.environment.deploy.DeployableObject, org.apache.ignite.ml.preprocessing.Preprocessor<K,V>)
  • org.apache.ignite.ml.pipeline.Pipeline<K,V,C,L>
  • org.apache.ignite.ml.pipeline.PipelineMdl<K,V> (implements org.apache.ignite.ml.environment.deploy.DeployableObject, org.apache.ignite.ml.IgniteModel<T,V>)
  • org.apache.ignite.ml.knn.utils.PointWithDistance<L> (implements java.lang.Comparable<T>)
  • org.apache.ignite.ml.knn.utils.PointWithDistanceUtil
  • org.apache.ignite.ml.util.genetic.Population
  • org.apache.ignite.ml.genetic.cache.PopulationCacheConfig
  • org.apache.ignite.ml.knn.ann.ProbableLabel
  • org.apache.ignite.ml.nn.initializers.RandomInitializer (implements org.apache.ignite.ml.nn.initializers.MLPInitializer)
  • org.apache.ignite.ml.recommendation.util.RecommendationBinaryDatasetDataBuilder (implements org.apache.ignite.ml.dataset.PartitionDataBuilder<K,V,C,D>)
  • org.apache.ignite.ml.recommendation.util.RecommendationDatasetData<O,S> (implements java.lang.AutoCloseable)
  • org.apache.ignite.ml.recommendation.util.RecommendationDatasetDataBuilder<K,O,S,Z> (implements org.apache.ignite.ml.dataset.PartitionDataBuilder<K,V,C,D>)
  • org.apache.ignite.ml.recommendation.RecommendationModel<O,S> (implements org.apache.ignite.ml.IgniteModel<T,V>)
  • org.apache.ignite.ml.recommendation.RecommendationTrainer
  • org.apache.ignite.ml.util.generators.standard.RegressionDataStream (implements org.apache.ignite.ml.util.generators.DataStreamGenerator)
  • org.apache.ignite.ml.selection.scoring.metric.regression.RegressionMetricValues (implements org.apache.ignite.ml.selection.scoring.metric.MetricValues)
  • org.apache.ignite.ml.util.generators.standard.RingsDataStream (implements org.apache.ignite.ml.util.generators.DataStreamGenerator)
  • org.apache.ignite.ml.selection.scoring.metric.classification.ROCAUC (implements org.apache.ignite.ml.selection.scoring.metric.Metric<L>)
  • org.apache.ignite.ml.optimization.updatecalculators.RPropParameterUpdate (implements java.io.Serializable)
  • org.apache.ignite.ml.optimization.updatecalculators.RPropUpdateCalculator (implements org.apache.ignite.ml.optimization.updatecalculators.ParameterUpdateCalculator<M,P>)
  • org.apache.ignite.ml.util.SandboxMLCache
  • org.apache.ignite.ml.selection.split.mapper.SHA256UniformMapper<K,V> (implements org.apache.ignite.ml.selection.split.mapper.UniformMapper<K,V>)
  • org.apache.ignite.ml.dataset.primitive.data.SimpleDatasetData (implements java.lang.AutoCloseable)
  • org.apache.ignite.ml.dataset.primitive.builder.data.SimpleDatasetDataBuilder<K,V,C,CO> (implements org.apache.ignite.ml.dataset.PartitionDataBuilder<K,V,C,D>)
  • org.apache.ignite.ml.optimization.updatecalculators.SimpleGDParameterUpdate (implements java.io.Serializable)
  • org.apache.ignite.ml.optimization.updatecalculators.SimpleGDUpdateCalculator (implements org.apache.ignite.ml.optimization.updatecalculators.ParameterUpdateCalculator<M,P>)
  • org.apache.ignite.ml.dataset.primitive.data.SimpleLabeledDatasetData (implements java.lang.AutoCloseable)
  • org.apache.ignite.ml.dataset.primitive.builder.data.SimpleLabeledDatasetDataBuilder<K,V,C> (implements org.apache.ignite.ml.dataset.PartitionDataBuilder<K,V,C,D>)
  • org.apache.ignite.ml.tree.impurity.util.SimpleStepFunctionCompressor<T> (implements org.apache.ignite.ml.tree.impurity.util.StepFunctionCompressor<T>)
  • org.apache.ignite.ml.inference.builder.SingleModelBuilder (implements org.apache.ignite.ml.inference.builder.SyncModelBuilder)
  • org.apache.ignite.ml.math.primitives.matrix.storage.SparseMatrixStorage (implements org.apache.ignite.ml.math.primitives.matrix.MatrixStorage, org.apache.ignite.ml.math.StorageConstants)
  • org.apache.ignite.ml.math.primitives.vector.storage.SparseVectorStorage (implements org.apache.ignite.ml.math.StorageConstants, org.apache.ignite.ml.math.primitives.vector.VectorStorage)
  • org.apache.ignite.ml.sql.SQLFunctions
  • org.apache.ignite.ml.composition.boosting.loss.SquaredError (implements org.apache.ignite.ml.composition.boosting.loss.Loss)
  • org.apache.ignite.ml.composition.stacking.StackedModel<IS,IA,O,AM> (implements org.apache.ignite.ml.IgniteModel<T,V>)
  • org.apache.ignite.ml.preprocessing.standardscaling.StandardScalerData (implements java.lang.AutoCloseable)
  • org.apache.ignite.ml.preprocessing.standardscaling.StandardScalerPreprocessor<K,V> (implements org.apache.ignite.ml.environment.deploy.DeployableObject, org.apache.ignite.ml.preprocessing.Preprocessor<K,V>)
  • org.apache.ignite.ml.preprocessing.standardscaling.StandardScalerTrainer<K,V> (implements org.apache.ignite.ml.preprocessing.PreprocessingTrainer<K,V>)
  • org.apache.ignite.ml.tree.impurity.util.StepFunction<T>
  • org.apache.ignite.ml.svm.SVMLinearClassificationModel (implements org.apache.ignite.ml.Exportable<D>, org.apache.ignite.ml.IgniteModel<T,V>, java.io.Serializable)
  • org.apache.ignite.ml.inference.builder.ThreadedModelBuilder (implements org.apache.ignite.ml.inference.builder.AsyncModelBuilder)
  • java.lang.Throwable (implements java.io.Serializable)
    • java.lang.Exception
      • java.lang.RuntimeException
        • org.apache.ignite.IgniteException
          • org.apache.ignite.ml.math.exceptions.ColumnIndexException
          • org.apache.ignite.ml.math.exceptions.knn.EmptyFileException
          • org.apache.ignite.ml.math.exceptions.knn.FileParsingException
          • org.apache.ignite.ml.math.exceptions.IndexException
          • org.apache.ignite.ml.math.exceptions.MathRuntimeException
            • org.apache.ignite.ml.math.exceptions.MathIllegalArgumentException
              • org.apache.ignite.ml.math.exceptions.CardinalityException
                • org.apache.ignite.ml.math.exceptions.NonSquareMatrixException
              • org.apache.ignite.ml.math.exceptions.NoDataException
              • org.apache.ignite.ml.math.exceptions.SingularMatrixException
          • org.apache.ignite.ml.math.exceptions.knn.NoLabelVectorException
          • org.apache.ignite.ml.math.exceptions.RowIndexException
          • org.apache.ignite.ml.math.exceptions.preprocessing.UnknownCategorialFeatureValue
          • org.apache.ignite.ml.selection.scoring.metric.exceptions.UnknownClassLabelException
          • org.apache.ignite.ml.math.exceptions.UnsupportedOperationException
        • java.lang.IllegalArgumentException
          • org.apache.ignite.ml.trainers.DatasetTrainer.EmptyDatasetException
  • org.apache.ignite.ml.math.Tracer
  • org.apache.ignite.ml.trainers.TrainerTransformers
  • org.apache.ignite.ml.selection.split.TrainTestDatasetSplitter<K,V> (implements java.io.Serializable)
  • org.apache.ignite.ml.selection.split.TrainTestSplit<K,V> (implements java.io.Serializable)
  • org.apache.ignite.ml.tree.data.TreeDataIndex
  • org.apache.ignite.ml.tree.randomforest.data.TreeNode (implements org.apache.ignite.ml.IgniteModel<T,V>)
  • org.apache.ignite.ml.tree.randomforest.data.TreeRoot (implements org.apache.ignite.ml.IgniteModel<T,V>)
  • org.apache.ignite.ml.util.generators.standard.TwoSeparableClassesDataStream (implements org.apache.ignite.ml.util.generators.DataStreamGenerator)
  • org.apache.ignite.ml.util.generators.primitives.scalar.UniformRandomProducer
  • org.apache.ignite.ml.nn.UpdatesStrategy<M,U>
  • org.apache.ignite.ml.dataset.UpstreamEntry<K,V>
  • org.apache.ignite.ml.util.Utils
  • org.apache.ignite.ml.util.generators.primitives.vector.VectorGeneratorPrimitives
  • org.apache.ignite.ml.util.generators.primitives.vector.VectorGeneratorsFamily (implements org.apache.ignite.ml.util.generators.primitives.vector.VectorGenerator)
  • org.apache.ignite.ml.util.generators.primitives.vector.VectorGeneratorsFamily.Builder
  • org.apache.ignite.ml.util.generators.primitives.vector.VectorGeneratorsFamily.VectorWithDistributionId
  • org.apache.ignite.ml.math.primitives.vector.storage.VectorizedViewMatrixStorage (implements org.apache.ignite.ml.math.primitives.vector.VectorStorage)
  • org.apache.ignite.ml.dataset.feature.extractor.Vectorizer<K,V,C,L> (implements org.apache.ignite.ml.trainers.FeatureLabelExtractor<K,V,L>)
    • org.apache.ignite.ml.dataset.feature.extractor.ExtractionUtils.DefaultLabelVectorizer<K,V,C>
      • org.apache.ignite.ml.dataset.feature.extractor.ExtractionUtils.IntCoordVectorizer<K,V>
        • org.apache.ignite.ml.dataset.feature.extractor.ExtractionUtils.ArrayLikeVectorizer<K,V>
          • org.apache.ignite.ml.dataset.feature.extractor.impl.DoubleArrayVectorizer<K> (implements org.apache.ignite.ml.environment.deploy.DeployableObject)
          • org.apache.ignite.ml.dataset.feature.extractor.impl.DummyVectorizer<K> (implements org.apache.ignite.ml.environment.deploy.DeployableObject)
      • org.apache.ignite.ml.dataset.feature.extractor.ExtractionUtils.StringCoordVectorizer<K,V>
        • org.apache.ignite.ml.dataset.feature.extractor.impl.BinaryObjectVectorizer<K> (implements org.apache.ignite.ml.environment.deploy.DeployableObject)
    • org.apache.ignite.ml.dataset.feature.extractor.impl.LabeledDummyVectorizer<K,L> (implements org.apache.ignite.ml.environment.deploy.DeployableObject)
    • org.apache.ignite.ml.dataset.feature.extractor.Vectorizer.VectorizerAdapter<K,V,C,L>
  • org.apache.ignite.ml.math.primitives.vector.VectorUtils
  • org.apache.ignite.ml.math.primitives.vector.storage.VectorViewStorage (implements org.apache.ignite.ml.math.primitives.vector.VectorStorage)
  • org.apache.ignite.ml.math.primitives.matrix.storage.ViewMatrixStorage (implements org.apache.ignite.ml.math.primitives.matrix.MatrixStorage)
  • org.apache.ignite.ml.composition.predictionsaggregator.WeightedPredictionsAggregator (implements org.apache.ignite.ml.composition.predictionsaggregator.PredictionsAggregator)

Interface Hierarchy

• org.apache.ignite.ml.inference.builder.AsyncModelBuilder
• java.lang.AutoCloseable
  • org.apache.ignite.ml.clustering.kmeans.ClusterizationModel<P,V>
  • org.apache.ignite.ml.dataset.Dataset<C,D>
  • org.apache.ignite.ml.tree.DecisionTreeNode
  • org.apache.ignite.ml.IgniteModel<T,V> (also extends org.apache.ignite.ml.inference.Model<I,O>, java.io.Serializable)
    • org.apache.ignite.ml.clustering.kmeans.ClusterizationModel<P,V>
    • org.apache.ignite.ml.tree.DecisionTreeNode
    • org.apache.ignite.ml.optimization.SmoothParametrized<M> (also extends org.apache.ignite.ml.optimization.Parametrized<M>)
  • org.apache.ignite.ml.selection.scoring.cursor.LabelPairCursor<L> (also extends java.lang.Iterable<T>)
  • org.apache.ignite.ml.inference.Model<I,O>
    • org.apache.ignite.ml.clustering.kmeans.ClusterizationModel<P,V>
    • org.apache.ignite.ml.tree.DecisionTreeNode
    • org.apache.ignite.ml.IgniteModel<T,V> (also extends java.io.Serializable)
      • org.apache.ignite.ml.clustering.kmeans.ClusterizationModel<P,V>
      • org.apache.ignite.ml.tree.DecisionTreeNode
      • org.apache.ignite.ml.optimization.SmoothParametrized<M> (also extends org.apache.ignite.ml.optimization.Parametrized<M>)
    • org.apache.ignite.ml.optimization.SmoothParametrized<M> (also extends org.apache.ignite.ml.IgniteModel<T,V>, org.apache.ignite.ml.optimization.Parametrized<M>)
  • org.apache.ignite.ml.optimization.SmoothParametrized<M> (also extends org.apache.ignite.ml.IgniteModel<T,V>, org.apache.ignite.ml.optimization.Parametrized<M>)
  • org.apache.ignite.ml.knn.utils.indices.SpatialIndex<L>
• org.apache.ignite.ml.optimization.BaseParametrized<M>
  • org.apache.ignite.ml.optimization.Parametrized<M>
    • org.apache.ignite.ml.optimization.SmoothParametrized<M> (also extends org.apache.ignite.ml.IgniteModel<T,V>)
  • org.apache.ignite.ml.optimization.SmoothParametrized<M> (also extends org.apache.ignite.ml.IgniteModel<T,V>, org.apache.ignite.ml.optimization.Parametrized<M>)
• java.util.function.BiConsumer<T,U>
  • org.apache.ignite.ml.math.functions.IgniteBiConsumer<T,U> (also extends java.io.Serializable)
    • org.apache.ignite.ml.math.functions.IntDoubleToVoidFunction
  • org.apache.ignite.ml.math.functions.IntDoubleToVoidFunction
• java.util.function.BiFunction<T,U,R>
  • java.util.function.BinaryOperator<T>
    • org.apache.ignite.ml.math.functions.IgniteBinaryOperator<A> (also extends java.io.Serializable)
  • org.apache.ignite.ml.trainers.FeatureLabelExtractor<K,V,L>
  • org.apache.ignite.ml.math.functions.IgniteBiFunction<T,U,R> (also extends java.io.Serializable)
    • org.apache.ignite.ml.trainers.FeatureLabelExtractor<K,V,L>
    • org.apache.ignite.ml.math.functions.IntIntToDoubleFunction
    • org.apache.ignite.ml.preprocessing.Preprocessor<K,V>
      • org.apache.ignite.ml.trainers.FeatureLabelExtractor<K,V,L>
  • org.apache.ignite.ml.math.functions.IgniteBinaryOperator<A> (also extends java.util.function.BinaryOperator<T>, java.io.Serializable)
  • org.apache.ignite.ml.math.functions.IntIntToDoubleFunction
  • org.apache.ignite.ml.preprocessing.Preprocessor<K,V>
    • org.apache.ignite.ml.trainers.FeatureLabelExtractor<K,V,L>
• org.apache.ignite.ml.clustering.kmeans.Clusterer<P,M>
• java.lang.Comparable<T>
  • org.apache.ignite.ml.tree.impurity.ImpurityMeasure<T> (also extends java.io.Serializable)
• java.util.function.Consumer<T>
  • org.apache.ignite.ml.math.functions.IgniteConsumer<T> (also extends java.io.Serializable)
• org.apache.ignite.ml.dataset.DatasetBuilder<K,V>
• org.apache.ignite.ml.composition.DatasetMapping<L1,L2>
• org.apache.ignite.ml.util.generators.DataStreamGenerator
• org.apache.ignite.ml.tree.leaf.DecisionTreeLeafBuilder
• org.apache.ignite.ml.environment.deploy.DeployableObject
• org.apache.ignite.ml.environment.deploy.DeployingContext
• org.apache.ignite.ml.math.Destroyable
  • org.apache.ignite.ml.math.primitives.matrix.Matrix (also extends java.io.Externalizable, org.apache.ignite.ml.math.MetaAttributes, org.apache.ignite.ml.math.StorageOpsMetrics)
  • org.apache.ignite.ml.math.primitives.matrix.MatrixStorage (also extends java.io.Externalizable, org.apache.ignite.ml.math.StorageOpsMetrics)
  • org.apache.ignite.ml.math.primitives.vector.NamedVector
  • org.apache.ignite.ml.math.primitives.vector.Vector (also extends java.io.Externalizable, org.apache.ignite.ml.math.MetaAttributes, org.apache.ignite.ml.math.StorageOpsMetrics)
    • org.apache.ignite.ml.math.primitives.vector.NamedVector
  • org.apache.ignite.ml.math.primitives.vector.VectorStorage (also extends java.io.Externalizable, org.apache.ignite.ml.math.StorageOpsMetrics)
• org.apache.ignite.ml.dataset.feature.DistributionComputer
• java.util.function.DoubleFunction<R>
  • org.apache.ignite.ml.math.functions.IgniteDifferentiableDoubleToDoubleFunction
  • org.apache.ignite.ml.math.functions.IgniteDoubleFunction<Double> (also extends java.io.Serializable)
    • org.apache.ignite.ml.math.functions.IgniteDifferentiableDoubleToDoubleFunction
• org.apache.ignite.ml.Exportable<D>
• org.apache.ignite.ml.Exporter<D,P>
• java.util.function.Function<T,R>
  • org.apache.ignite.ml.math.functions.IgniteCurriedBiFunction<A,B,T> (also extends org.apache.ignite.ml.math.functions.IgniteFunction<T,R>, java.io.Serializable)
  • org.apache.ignite.ml.math.functions.IgniteCurriedTriFunction<A,B,C,D> (also extends org.apache.ignite.ml.math.functions.IgniteFunction<T,R>, java.io.Serializable)
  • org.apache.ignite.ml.math.functions.IgniteDifferentiableVectorToDoubleFunction
  • org.apache.ignite.ml.math.functions.IgniteFunction<T,R> (also extends java.io.Serializable)
    • org.apache.ignite.ml.math.functions.IgniteCurriedBiFunction<A,B,T> (also extends java.io.Serializable)
    • org.apache.ignite.ml.math.functions.IgniteCurriedTriFunction<A,B,C,D> (also extends java.io.Serializable)
    • org.apache.ignite.ml.math.functions.IgniteDifferentiableVectorToDoubleFunction
    • org.apache.ignite.ml.composition.predictionsaggregator.PredictionsAggregator
  • org.apache.ignite.ml.composition.predictionsaggregator.PredictionsAggregator
  • org.apache.ignite.ml.math.Tracer.ColorMapper
• java.util.concurrent.Future<V>
  • org.apache.ignite.ml.environment.parallelism.Promise<T>
• org.apache.ignite.ml.genetic.parameter.GAGridConstants
• org.apache.ignite.ml.genetic.IFitnessFunction
• java.lang.Iterable<T>
  • org.apache.ignite.ml.selection.scoring.cursor.LabelPairCursor<L> (also extends java.lang.AutoCloseable)
  • org.apache.ignite.ml.inference.storage.descriptor.ModelDescriptorStorage
• org.apache.ignite.ml.genetic.parameter.ITerminateCriteria
• org.apache.ignite.ml.environment.LearningEnvironment
• org.apache.ignite.ml.util.LRUCacheExpirationListener<V>
• org.apache.ignite.ml.math.primitives.matrix.Matrix.Element
• org.apache.ignite.ml.math.MetaAttributes
  • org.apache.ignite.ml.math.primitives.matrix.Matrix (also extends org.apache.ignite.ml.math.Destroyable, java.io.Externalizable, org.apache.ignite.ml.math.StorageOpsMetrics)
  • org.apache.ignite.ml.math.primitives.vector.NamedVector
  • org.apache.ignite.ml.math.primitives.vector.Vector (also extends org.apache.ignite.ml.math.Destroyable, java.io.Externalizable, org.apache.ignite.ml.math.StorageOpsMetrics)
    • org.apache.ignite.ml.math.primitives.vector.NamedVector
• org.apache.ignite.ml.selection.scoring.metric.Metric<L>
• org.apache.ignite.ml.selection.scoring.metric.MetricValues
• org.apache.ignite.ml.environment.logging.MLLogger
• org.apache.ignite.ml.environment.logging.MLLogger.Factory
• org.apache.ignite.ml.nn.initializers.MLPInitializer
• org.apache.ignite.ml.inference.storage.model.ModelStorage
• org.apache.ignite.ml.inference.storage.model.ModelStorageProvider
• org.apache.ignite.ml.math.primitives.matrix.OrderedMatrix
• org.apache.ignite.ml.environment.parallelism.ParallelismStrategy
• java.util.function.Predicate<T>
  • org.apache.ignite.ml.tree.TreeFilter (also extends java.io.Serializable)
• org.apache.ignite.ml.preprocessing.PreprocessingTrainer<K,V>
• java.io.Serializable
  • org.apache.ignite.ml.clustering.kmeans.ClusterizationModel<P,V>
  • org.apache.ignite.ml.tree.DecisionTreeNode
  • org.apache.ignite.ml.math.distances.DistanceMeasure
  • org.apache.ignite.ml.math.stat.Distribution
  • java.io.Externalizable
    • org.apache.ignite.ml.math.distances.DistanceMeasure
    • org.apache.ignite.ml.math.primitives.matrix.Matrix (also extends org.apache.ignite.ml.math.Destroyable, org.apache.ignite.ml.math.MetaAttributes, org.apache.ignite.ml.math.StorageOpsMetrics)
    • org.apache.ignite.ml.math.primitives.matrix.MatrixStorage (also extends org.apache.ignite.ml.math.Destroyable, org.apache.ignite.ml.math.StorageOpsMetrics)
    • org.apache.ignite.ml.math.primitives.vector.NamedVector
    • org.apache.ignite.ml.math.primitives.vector.Vector (also extends org.apache.ignite.ml.math.Destroyable, org.apache.ignite.ml.math.MetaAttributes, org.apache.ignite.ml.math.StorageOpsMetrics)
      • org.apache.ignite.ml.math.primitives.vector.NamedVector
    • org.apache.ignite.ml.math.primitives.vector.VectorStorage (also extends org.apache.ignite.ml.math.Destroyable, org.apache.ignite.ml.math.StorageOpsMetrics)
  • org.apache.ignite.ml.trainers.FeatureLabelExtractor<K,V,L>
  • org.apache.ignite.ml.inference.storage.model.FileOrDirectory
  • org.apache.ignite.ml.dataset.feature.Histogram<T,H>
    • org.apache.ignite.ml.tree.randomforest.data.impurity.ImpurityComputer<T,H>
  • org.apache.ignite.ml.math.functions.IgniteBiConsumer<T,U> (also extends java.util.function.BiConsumer<T,U>)
    • org.apache.ignite.ml.math.functions.IntDoubleToVoidFunction
  • org.apache.ignite.ml.math.functions.IgniteBiFunction<T,U,R> (also extends java.util.function.BiFunction<T,U,R>)
    • org.apache.ignite.ml.trainers.FeatureLabelExtractor<K,V,L>
    • org.apache.ignite.ml.math.functions.IntIntToDoubleFunction
    • org.apache.ignite.ml.preprocessing.Preprocessor<K,V>
      • org.apache.ignite.ml.trainers.FeatureLabelExtractor<K,V,L>
  • org.apache.ignite.ml.math.functions.IgniteBinaryOperator<A> (also extends java.util.function.BinaryOperator<T>)
  • org.apache.ignite.ml.math.functions.IgniteConsumer<T> (also extends java.util.function.Consumer<T>)
  • org.apache.ignite.ml.math.functions.IgniteCurriedBiFunction<A,B,T> (also extends org.apache.ignite.ml.math.functions.IgniteFunction<T,R>)
  • org.apache.ignite.ml.math.functions.IgniteCurriedTriFunction<A,B,C,D> (also extends org.apache.ignite.ml.math.functions.IgniteFunction<T,R>)
  • org.apache.ignite.ml.math.functions.IgniteDifferentiableDoubleToDoubleFunction
  • org.apache.ignite.ml.math.functions.IgniteDifferentiableVectorToDoubleFunction
  • org.apache.ignite.ml.math.functions.IgniteDoubleFunction<Double> (also extends java.util.function.DoubleFunction<R>)
    • org.apache.ignite.ml.math.functions.IgniteDifferentiableDoubleToDoubleFunction
  • org.apache.ignite.ml.math.functions.IgniteFunction<T,R> (also extends java.util.function.Function<T,R>)
    • org.apache.ignite.ml.math.functions.IgniteCurriedBiFunction<A,B,T> (also extends java.io.Serializable)
    • org.apache.ignite.ml.math.functions.IgniteCurriedTriFunction<A,B,C,D> (also extends java.io.Serializable)
    • org.apache.ignite.ml.math.functions.IgniteDifferentiableVectorToDoubleFunction
    • org.apache.ignite.ml.composition.predictionsaggregator.PredictionsAggregator
  • org.apache.ignite.ml.math.functions.IgniteIntDoubleToDoubleBiFunction
  • org.apache.ignite.ml.math.functions.IgniteIntIntToIntBiFunction
  • org.apache.ignite.ml.IgniteModel<T,V> (also extends org.apache.ignite.ml.inference.Model<I,O>)
    • org.apache.ignite.ml.clustering.kmeans.ClusterizationModel<P,V>
    • org.apache.ignite.ml.tree.DecisionTreeNode
    • org.apache.ignite.ml.optimization.SmoothParametrized<M> (also extends org.apache.ignite.ml.optimization.Parametrized<M>)
  • org.apache.ignite.ml.math.functions.IgniteSupplier<T> (also extends java.util.function.Supplier<T>)
  • org.apache.ignite.ml.math.functions.IgniteToDoubleFunction<T> (also extends java.util.function.ToDoubleFunction<T>)
  • org.apache.ignite.ml.math.functions.IgniteTriConsumer<A,B,C>
  • org.apache.ignite.ml.math.functions.IgniteTriFunction<A,B,C,R>
  • org.apache.ignite.ml.tree.randomforest.data.impurity.ImpurityComputer<T,H>
  • org.apache.ignite.ml.tree.impurity.ImpurityMeasure<T> (also extends java.lang.Comparable<T>)
  • org.apache.ignite.ml.math.functions.IntDoubleToVoidFunction
  • org.apache.ignite.ml.math.functions.IntIntDoubleToVoidFunction
  • org.apache.ignite.ml.math.functions.IntIntToDoubleFunction
  • org.apache.ignite.ml.environment.LearningEnvironmentBuilder
  • org.apache.ignite.ml.composition.boosting.loss.Loss
  • org.apache.ignite.ml.math.primitives.matrix.Matrix (also extends org.apache.ignite.ml.math.Destroyable, java.io.Externalizable, org.apache.ignite.ml.math.MetaAttributes, org.apache.ignite.ml.math.StorageOpsMetrics)
  • org.apache.ignite.ml.math.primitives.matrix.MatrixStorage (also extends org.apache.ignite.ml.math.Destroyable, java.io.Externalizable, org.apache.ignite.ml.math.StorageOpsMetrics)
  • org.apache.ignite.ml.inference.parser.ModelParser<I,O,M>
  • org.apache.ignite.ml.inference.reader.ModelReader
  • org.apache.ignite.ml.math.primitives.vector.NamedVector
  • org.apache.ignite.ml.optimization.updatecalculators.ParameterUpdateCalculator<M,P>
  • org.apache.ignite.ml.dataset.PartitionContextBuilder<K,V,C>
  • org.apache.ignite.ml.dataset.PartitionDataBuilder<K,V,C,D>
  • org.apache.ignite.ml.composition.predictionsaggregator.PredictionsAggregator
  • org.apache.ignite.ml.preprocessing.Preprocessor<K,V>
    • org.apache.ignite.ml.trainers.FeatureLabelExtractor<K,V,L>
  • org.apache.ignite.ml.optimization.SmoothParametrized<M> (also extends org.apache.ignite.ml.IgniteModel<T,V>, org.apache.ignite.ml.optimization.Parametrized<M>)
  • org.apache.ignite.ml.tree.impurity.util.StepFunctionCompressor<T>
  • org.apache.ignite.ml.tree.TreeFilter (also extends java.util.function.Predicate<T>)
  • org.apache.ignite.ml.selection.split.mapper.UniformMapper<K,V>
  • org.apache.ignite.ml.dataset.UpstreamTransformer
  • org.apache.ignite.ml.dataset.UpstreamTransformerBuilder
  • org.apache.ignite.ml.math.primitives.vector.Vector (also extends org.apache.ignite.ml.math.Destroyable, java.io.Externalizable, org.apache.ignite.ml.math.MetaAttributes, org.apache.ignite.ml.math.StorageOpsMetrics)
    • org.apache.ignite.ml.math.primitives.vector.NamedVector
  • org.apache.ignite.ml.math.primitives.vector.VectorStorage (also extends org.apache.ignite.ml.math.Destroyable, java.io.Externalizable, org.apache.ignite.ml.math.StorageOpsMetrics)
• org.apache.ignite.ml.math.StorageConstants
• org.apache.ignite.ml.math.StorageOpsMetrics
  • org.apache.ignite.ml.math.primitives.matrix.Matrix (also extends org.apache.ignite.ml.math.Destroyable, java.io.Externalizable, org.apache.ignite.ml.math.MetaAttributes)
  • org.apache.ignite.ml.math.primitives.matrix.MatrixStorage (also extends org.apache.ignite.ml.math.Destroyable, java.io.Externalizable)
  • org.apache.ignite.ml.math.primitives.vector.NamedVector
  • org.apache.ignite.ml.math.primitives.vector.Vector (also extends org.apache.ignite.ml.math.Destroyable, java.io.Externalizable, org.apache.ignite.ml.math.MetaAttributes)
    • org.apache.ignite.ml.math.primitives.vector.NamedVector
  • org.apache.ignite.ml.math.primitives.vector.VectorStorage (also extends org.apache.ignite.ml.math.Destroyable, java.io.Externalizable)
• java.util.function.Supplier<T>
  • org.apache.ignite.ml.math.functions.IgniteSupplier<T> (also extends java.io.Serializable)
  • org.apache.ignite.ml.util.generators.primitives.scalar.RandomProducer
  • org.apache.ignite.ml.util.generators.primitives.vector.VectorGenerator
• org.apache.ignite.ml.inference.builder.SyncModelBuilder
• java.util.function.ToDoubleFunction<T>
  • org.apache.ignite.ml.math.functions.IgniteToDoubleFunction<T> (also extends java.io.Serializable)
• org.apache.ignite.ml.math.primitives.vector.Vector.Element

Enum Hierarchy

• java.lang.Object
  • java.lang.Enum<E> (implements java.lang.Comparable<T>, java.io.Serializable)
    • org.apache.ignite.ml.dataset.feature.extractor.Vectorizer.LabelCoordinate
    • org.apache.ignite.ml.knn.utils.indices.SpatialIndexType
    • org.apache.ignite.ml.environment.logging.MLLogger.VerboseLevel
    • org.apache.ignite.ml.environment.parallelism.ParallelismStrategy.Type
    • org.apache.ignite.ml.preprocessing.imputing.ImputingStrategy
    • org.apache.ignite.ml.preprocessing.encoding.EncoderSortingStrategy
    • org.apache.ignite.ml.preprocessing.encoding.EncoderType
    • org.apache.ignite.ml.tree.randomforest.data.TreeNode.Type
    • org.apache.ignite.ml.genetic.parameter.GAGridConstants.SELECTION_METHOD
    • org.apache.ignite.ml.util.MLSandboxDatasets
    • org.apache.ignite.ml.util.genetic.SelectionStrategy
    • org.apache.ignite.ml.util.genetic.CrossoverStrategy
    • org.apache.ignite.ml.inference.storage.model.thinclient.ModelStorateThinClientProcessor.Method