Serialized Form (Ignite 8.9.17-p1)

Package org.apache.ignite.ml
Package org.apache.ignite.ml.clustering.gmm
- Class org.apache.ignite.ml.clustering.gmm.CovarianceMatricesAggregator extends Object implements Serializable
  
  serialVersionUID:
  
  4163253784526780812L
  - Serialized Fields
    - mean
```
Vector mean
```
      Mean vector.
    - weightedSum
```
Matrix weightedSum
```
      Weighted by P(c|xi) sum of (xi - mean) * (xi - mean)^T values.
    - rowCount
```
int rowCount
```
      Count of rows.
- Class org.apache.ignite.ml.clustering.gmm.GmmModel extends DistributionMixture<MultivariateGaussianDistribution> implements Serializable
  
  serialVersionUID:
  
  -4484174539118240037L
- Class org.apache.ignite.ml.clustering.gmm.NewComponentStatisticsAggregator extends Object implements Serializable
  
  serialVersionUID:
  
  6748270328889375005L
  - Serialized Fields
    - totalRowCount
```
long totalRowCount
```
      Total row count in dataset.
    - rowCountForNewCluster
```
long rowCountForNewCluster
```
      Row count for new cluster.
    - sumOfAnomalies
```
Vector sumOfAnomalies
```
      Sum of anomalies vectors.
Package org.apache.ignite.ml.clustering.kmeans
- Class org.apache.ignite.ml.clustering.kmeans.KMeansModel extends Object implements Serializable
  - Serialized Fields
    - centers
```
Vector[] centers
```
      Centers of clusters.
    - distanceMeasure
```
DistanceMeasure distanceMeasure
```
      Distance measure.
- Class org.apache.ignite.ml.clustering.kmeans.KMeansModelFormat extends Object implements Serializable
  - Serialized Fields
    - centers
```
Vector[] centers
```
      Centers of clusters.
    - distance
```
DistanceMeasure distance
```
      Distance measure.
Package org.apache.ignite.ml.composition
- Class org.apache.ignite.ml.composition.ModelOnFeaturesSubspace extends Object implements Serializable
  - Serialized Fields
    - featuresMapping
```
Map<K,V> featuresMapping
```
      Features mapping to subspace.
    - mdl
```
IgniteModel<T,V> mdl
```
      Trained model of features subspace.
- Class org.apache.ignite.ml.composition.ModelsComposition extends Object implements Serializable
  - Serialized Fields
    - predictionsAggregator
```
PredictionsAggregator predictionsAggregator
```
      Predictions aggregator.
    - models
```
List<E> models
```
      Models.
- Class org.apache.ignite.ml.composition.ModelsCompositionFormat extends Object implements Serializable
  
  serialVersionUID:
  
  9115341364082681837L
  - Serialized Fields
    - models
```
List<E> models
```
      Models.
    - predictionsAggregator
```
PredictionsAggregator predictionsAggregator
```
      Predictions aggregator.
Package org.apache.ignite.ml.composition.bagging
- Class org.apache.ignite.ml.composition.bagging.BaggedModel extends Object implements Serializable
  - Serialized Fields
    - mdl
```
IgniteModel<T,V> mdl
```
      Inner representation of model produced by BaggedTrainer.
Package org.apache.ignite.ml.composition.boosting
- Class org.apache.ignite.ml.composition.boosting.GDBTrainer.GDBModel extends ModelsComposition implements Serializable
  
  serialVersionUID:
  
  3476661240155508004L
  - Serialized Fields
    - internalToExternalLblMapping
```
IgniteFunction<T,R> internalToExternalLblMapping
```
      Internal to external lbl mapping.
Package org.apache.ignite.ml.composition.boosting.convergence
- Class org.apache.ignite.ml.composition.boosting.convergence.ConvergenceChecker extends Object implements Serializable
  
  serialVersionUID:
  
  710762134746674105L
  - Serialized Fields
    - sampleSize
```
long sampleSize
```
      Sample size.
    - externalLbToInternalMapping
```
IgniteFunction<T,R> externalLbToInternalMapping
```
      External label to internal mapping.
    - loss
```
Loss loss
```
      Loss function.
    - preprocessor
```
Preprocessor<K,V> preprocessor
```
      Upstream preprocessor.
    - precision
```
double precision
```
      Precision of convergence check.
Package org.apache.ignite.ml.composition.boosting.convergence.mean
- Class org.apache.ignite.ml.composition.boosting.convergence.mean.MeanAbsValueConvergenceChecker extends ConvergenceChecker<K,V> implements Serializable
  
  serialVersionUID:
  
  8534776439755210864L
Package org.apache.ignite.ml.composition.boosting.convergence.median
- Class org.apache.ignite.ml.composition.boosting.convergence.median.MedianOfMedianConvergenceChecker extends ConvergenceChecker<K,V> implements Serializable
  
  serialVersionUID:
  
  4902502002933415287L
Package org.apache.ignite.ml.composition.boosting.convergence.simple
- Class org.apache.ignite.ml.composition.boosting.convergence.simple.ConvergenceCheckerStub extends ConvergenceChecker<K,V> implements Serializable
  
  serialVersionUID:
  
  8534776439755210864L
Package org.apache.ignite.ml.composition.boosting.loss
- Class org.apache.ignite.ml.composition.boosting.loss.LogLoss extends Object implements Serializable
  
  serialVersionUID:
  
  2251384437214194977L
- Class org.apache.ignite.ml.composition.boosting.loss.SquaredError extends Object implements Serializable
  
  serialVersionUID:
  
  564886150646352157L
Package org.apache.ignite.ml.composition.combinators.parallel
- Class org.apache.ignite.ml.composition.combinators.parallel.ModelsParallelComposition extends Object implements Serializable
  - Serialized Fields
    - submodels
```
List<E> submodels
```
      List of submodels.
Package org.apache.ignite.ml.composition.combinators.sequential
- Class org.apache.ignite.ml.composition.combinators.sequential.ModelsSequentialComposition extends Object implements Serializable
  - Serialized Fields
    - mdl1
```
IgniteModel<T,V> mdl1
```
      First model.
    - mdl2
```
IgniteModel<T,V> mdl2
```
      Second model.
Package org.apache.ignite.ml.composition.predictionsaggregator
- Class org.apache.ignite.ml.composition.predictionsaggregator.MeanValuePredictionsAggregator extends Object implements Serializable
- Class org.apache.ignite.ml.composition.predictionsaggregator.OnMajorityPredictionsAggregator extends Object implements Serializable
- Class org.apache.ignite.ml.composition.predictionsaggregator.WeightedPredictionsAggregator extends Object implements Serializable
  - Serialized Fields
    - weights
```
double[] weights
```
      Weights for predictions.
    - bias
```
double bias
```
      Bias.
Package org.apache.ignite.ml.composition.stacking
- Class org.apache.ignite.ml.composition.stacking.StackedModel extends Object implements Serializable
  - Serialized Fields
    - mdl
```
IgniteModel<T,V> mdl
```
      Model to wrap.
Package org.apache.ignite.ml.dataset
Package org.apache.ignite.ml.dataset.feature
- Class org.apache.ignite.ml.dataset.feature.BucketMeta extends Object implements Serializable
  
  serialVersionUID:
  
  7827158624437006995L
  - Serialized Fields
    - featureMeta
```
FeatureMeta featureMeta
```
      Feature meta.
    - bucketSize
```
double bucketSize
```
      Bucket size.
    - minVal
```
double minVal
```
      Min value of feature.
- Class org.apache.ignite.ml.dataset.feature.FeatureMeta extends Object implements Serializable
  
  serialVersionUID:
  
  -2990950807063111877L
  - Serialized Fields
    - name
```
String name
```
      Name.
    - featureId
```
int featureId
```
      Id of feature in feature vector.
    - isCategoricalFeature
```
boolean isCategoricalFeature
```
      Is categorical feature flag.
- Class org.apache.ignite.ml.dataset.feature.ObjectHistogram extends Object implements Serializable
  
  serialVersionUID:
  
  -2708731174031404487L
  - Serialized Fields
    - hist
```
TreeMap<K,V> hist
```
      Histogram.
Package org.apache.ignite.ml.dataset.feature.extractor
- Class org.apache.ignite.ml.dataset.feature.extractor.ExtractionUtils.ArrayLikeVectorizer extends ExtractionUtils.IntCoordVectorizer<K,V> implements Serializable
  
  serialVersionUID:
  
  5383770258177577358L
- Class org.apache.ignite.ml.dataset.feature.extractor.ExtractionUtils.DefaultLabelVectorizer extends Vectorizer<K,V,C extends Serializable,Double> implements Serializable
  
  serialVersionUID:
  
  2876703640636013770L
- Class org.apache.ignite.ml.dataset.feature.extractor.ExtractionUtils.IntCoordVectorizer extends ExtractionUtils.DefaultLabelVectorizer<K,V,Integer> implements Serializable
  
  serialVersionUID:
  
  -1734141133396507699L
- Class org.apache.ignite.ml.dataset.feature.extractor.ExtractionUtils.StringCoordVectorizer extends ExtractionUtils.DefaultLabelVectorizer<K,V,String> implements Serializable
  
  serialVersionUID:
  
  6989473570977667636L
- Class org.apache.ignite.ml.dataset.feature.extractor.Vectorizer extends Object implements Serializable
  
  serialVersionUID:
  
  4301406952131379459L
  - Serialized Fields
    - lbCoordinateShortcut
```
Vectorizer.LabelCoordinate lbCoordinateShortcut
```
      Label coordinate shortcut.
    - useAllValues
```
boolean useAllValues
```
      If useAllValues == true then Vectorizer extract all fields as features from upstream object (except label).
    - extractionCoordinates
```
List<E> extractionCoordinates
```
      Extraction coordinates.
    - labelCoord
```
Serializable labelCoord
```
      Label coordinate.
    - excludedCoords
```
HashSet<E> excludedCoords
```
      Excluded coordinates.
- Class org.apache.ignite.ml.dataset.feature.extractor.Vectorizer.VectorizerAdapter extends Vectorizer<K,V,C extends Serializable,L> implements Serializable
Package org.apache.ignite.ml.dataset.feature.extractor.impl
- Class org.apache.ignite.ml.dataset.feature.extractor.impl.BinaryObjectVectorizer extends ExtractionUtils.StringCoordVectorizer<K,BinaryObject> implements Serializable
  
  serialVersionUID:
  
  2152161240934492838L
  - Serialized Fields
    - featureValueMappings
```
HashMap<K,V> featureValueMappings
```
      Mapping for feature with non-number values.
- Class org.apache.ignite.ml.dataset.feature.extractor.impl.DoubleArrayVectorizer extends ExtractionUtils.ArrayLikeVectorizer<K,double[]> implements Serializable
  
  serialVersionUID:
  
  -1177109334215177722L
- Class org.apache.ignite.ml.dataset.feature.extractor.impl.DummyVectorizer extends ExtractionUtils.ArrayLikeVectorizer<K,Vector> implements Serializable
  
  serialVersionUID:
  
  -6225354615212148224L
- Class org.apache.ignite.ml.dataset.feature.extractor.impl.LabeledDummyVectorizer extends Vectorizer<K,LabeledVector<L>,Integer,L> implements Serializable
  
  serialVersionUID:
  
  -6225354615212148224L
Package org.apache.ignite.ml.dataset.impl.bootstrapping
- Class org.apache.ignite.ml.dataset.impl.bootstrapping.BootstrappedDatasetBuilder extends Object implements Serializable
  
  serialVersionUID:
  
  8146220902914010559L
  - Serialized Fields
    - preprocessor
```
Preprocessor<K,V> preprocessor
```
      Mapper of upstream entries into LabeledVector.
    - samplesCnt
```
int samplesCnt
```
      Samples count.
    - subsampleSize
```
double subsampleSize
```
      Subsample size.
- Class org.apache.ignite.ml.dataset.impl.bootstrapping.BootstrappedVector extends LabeledVector<Double> implements Serializable
  
  serialVersionUID:
  
  -4583008673032917259L
  - Serialization Methods
    - readExternal
```
public void readExternal(ObjectInput in)
                  throws IOException,
                         ClassNotFoundException
```
      Throws:
      
      IOException
      
      ClassNotFoundException
    - writeExternal
```
public void writeExternal(ObjectOutput out)
                   throws IOException
```
      Throws:
      
      IOException
Package org.apache.ignite.ml.dataset.impl.cache.util
- Class org.apache.ignite.ml.dataset.impl.cache.util.DatasetAffinityFunctionWrapper extends Object implements Serializable
  
  serialVersionUID:
  
  -8233787063079973753L
  - Serialized Fields
    - delegate
```
AffinityFunction delegate
```
      Delegate that actually performs all methods except partition().
Package org.apache.ignite.ml.dataset.primitive
- Class org.apache.ignite.ml.dataset.primitive.FeatureMatrixWithLabelsOnHeapDataBuilder extends Object implements Serializable
  
  serialVersionUID:
  
  6273736987424171813L
  - Serialized Fields
    - preprocessor
```
Preprocessor<K,V> preprocessor
```
      Function that extracts features and labels from an upstream data.
Package org.apache.ignite.ml.dataset.primitive.builder.context
- Class org.apache.ignite.ml.dataset.primitive.builder.context.EmptyContextBuilder extends Object implements Serializable
  
  serialVersionUID:
  
  6620781747993467186L
Package org.apache.ignite.ml.dataset.primitive.builder.data
- Class org.apache.ignite.ml.dataset.primitive.builder.data.SimpleDatasetDataBuilder extends Object implements Serializable
  
  serialVersionUID:
  
  756800193212149975L
  - Serialized Fields
    - preprocessor
```
Preprocessor<K,V> preprocessor
```
      Function that extracts features from an upstream data.
- Class org.apache.ignite.ml.dataset.primitive.builder.data.SimpleLabeledDatasetDataBuilder extends Object implements Serializable
  
  serialVersionUID:
  
  3678784980215216039L
  - Serialized Fields
    - vectorizer
```
Preprocessor<K,V> vectorizer
```
      Function that extracts labeled vectors from an upstream data.
Package org.apache.ignite.ml.dataset.primitive.context
- Class org.apache.ignite.ml.dataset.primitive.context.EmptyContext extends Object implements Serializable
  
  serialVersionUID:
  
  4108938672110578991L
Package org.apache.ignite.ml.environment
- Class org.apache.ignite.ml.environment.DefaultLearningEnvironmentBuilder extends Object implements Serializable
  
  serialVersionUID:
  
  8502532880517447662L
  - Serialized Fields
    - parallelismStgy
```
IgniteFunction<T,R> parallelismStgy
```
      Dependency (partition -> Parallelism strategy).
    - loggingFactory
```
IgniteFunction<T,R> loggingFactory
```
      Dependency (partition -> Logging factory).
    - seed
```
IgniteFunction<T,R> seed
```
      Dependency (partition -> Random number generator seed).
    - rngSupplier
```
IgniteFunction<T,R> rngSupplier
```
      Dependency (partition -> Random numbers generator supplier).
    - dataTtl
```
long dataTtl
```
      Partition data time-to-live in seconds (-1 for an infinite lifetime).
Package org.apache.ignite.ml.genetic
- Class org.apache.ignite.ml.genetic.CrossOverJob extends ComputeJobAdapter implements Serializable
  - Serialized Fields
    - ignite
```
Ignite ignite
```
      Ignite resource
    - log
```
IgniteLogger log
```
      Ignite logger
    - key1
```
Long key1
```
      primary key of 1st chromosome
    - key2
```
Long key2
```
      primary key of 2nd chromosome
    - crossOverRate
```
double crossOverRate
```
      Cross over rate
- Class org.apache.ignite.ml.genetic.CrossOverTask extends ComputeTaskAdapter<List<Long>,Boolean> implements Serializable
  - Serialized Fields
    - ignite
```
Ignite ignite
```
      Ignite instance
    - cfg
```
GAConfiguration cfg
```
      GAConfiguration
- Class org.apache.ignite.ml.genetic.FitnessJob extends ComputeJobAdapter implements Serializable
  - Serialized Fields
    - key
```
Long key
```
      Chromosome primary Key
    - ignite
```
Ignite ignite
```
      Ignite instance
    - log
```
IgniteLogger log
```
      Ignite logger
    - fitnessFuncton
```
IFitnessFunction fitnessFuncton
```
      IFitnessFunction
- Class org.apache.ignite.ml.genetic.FitnessTask extends ComputeTaskAdapter<List<Long>,Boolean> implements Serializable
  - Serialized Fields
    - ignite
```
Ignite ignite
```
      Ignite instance
    - cfg
```
GAConfiguration cfg
```
      GAConfiguration
- Class org.apache.ignite.ml.genetic.MutateJob extends ComputeJobAdapter implements Serializable
  - Serialized Fields
    - key
```
Long key
```
      primary key of Chromosome to mutate
    - mutatedGeneKeys
```
List<E> mutatedGeneKeys
```
      primary keys of genes to be used in mutation
    - ignite
```
Ignite ignite
```
      Ignite instance
    - mutationRate
```
double mutationRate
```
      Mutation Rate
- Class org.apache.ignite.ml.genetic.MutateTask extends ComputeTaskAdapter<List<Long>,Boolean> implements Serializable
  - Serialized Fields
    - ignite
```
Ignite ignite
```
      Ignite instance
    - cfg
```
GAConfiguration cfg
```
      GAConfiguration
- Class org.apache.ignite.ml.genetic.RouletteWheelSelectionJob extends ComputeJobAdapter implements Serializable
  - Serialized Fields
    - ignite
```
Ignite ignite
```
      Ignite instance
    - log
```
IgniteLogger log
```
      Ignite logger
    - totalFitnessScore
```
Double totalFitnessScore
```
      Total Fitness score
    - map
```
LinkedHashMap<K,V> map
```
      Chromosome key/fitness score pair
- Class org.apache.ignite.ml.genetic.RouletteWheelSelectionTask extends ComputeTaskAdapter<LinkedHashMap<Long,Double>,List<Long>> implements Serializable
  - Serialized Fields
    - ignite
```
Ignite ignite
```
      Ignite resource.
    - balancer
```
ComputeLoadBalancer balancer
```
    - cfg
```
GAConfiguration cfg
```
      GAConfiguration
- Class org.apache.ignite.ml.genetic.TruncateSelectionJob extends ComputeJobAdapter implements Serializable
  - Serialized Fields
    - key
```
Long key
```
      primary key of Chromosome to mutate
    - mutatedGeneKeys
```
List<E> mutatedGeneKeys
```
      primary keys of genes to be used in mutation
    - ignite
```
Ignite ignite
```
      Ignite instance
- Class org.apache.ignite.ml.genetic.TruncateSelectionTask extends ComputeTaskAdapter<List<Long>,Boolean> implements Serializable
  - Serialized Fields
    - ignite
```
Ignite ignite
```
      Ignite resource.
    - fittestKeys
```
List<E> fittestKeys
```
      Fittest keys.
    - numOfCopies
```
int numOfCopies
```
      Number of Copies.
Package org.apache.ignite.ml.inference
- Class org.apache.ignite.ml.inference.ModelDescriptor extends Object implements Serializable
  - Serialized Fields
    - name
```
String name
```
      Model name.
    - desc
```
String desc
```
      Model description.
    - signature
```
ModelSignature signature
```
      Model signature that keeps input/output types in Protobuf.
    - reader
```
ModelReader reader
```
      Model reader.
    - parser
```
ModelParser<I,O,M extends Model<I,O>> parser
```
      Model parser.
- Class org.apache.ignite.ml.inference.ModelSignature extends Object implements Serializable
  - Serialized Fields
    - schema
```
String schema
```
      Protobuf schema of all objects required in the model.
    - inputMsg
```
String inputMsg
```
      Name of the input type (should be presented in the ModelSignature.schema.
    - outputMsg
```
String outputMsg
```
      Name of ths output type (should be presented in the ModelSignature.schema).
Package org.apache.ignite.ml.inference.parser
- Class org.apache.ignite.ml.inference.parser.IgniteModelParser extends Object implements Serializable
  
  serialVersionUID:
  
  -4624683614990816434L
Package org.apache.ignite.ml.inference.reader
- Class org.apache.ignite.ml.inference.reader.FileSystemModelReader extends Object implements Serializable
  
  serialVersionUID:
  
  7370932792669930039L
  - Serialized Fields
    - path
```
String path
```
      Path to the directory.
- Class org.apache.ignite.ml.inference.reader.InMemoryModelReader extends Object implements Serializable
  
  serialVersionUID:
  
  -5518861989758691500L
  - Serialized Fields
    - data
```
byte[] data
```
      Data.
- Class org.apache.ignite.ml.inference.reader.ModelStorageModelReader extends Object implements Serializable
  
  serialVersionUID:
  
  -5878564742783562872L
  - Serialized Fields
    - path
```
String path
```
      Path to the directory or file.
    - mdlStorageSupplier
```
IgniteSupplier<T> mdlStorageSupplier
```
      Model storage supplier.
Package org.apache.ignite.ml.inference.storage.model
Package org.apache.ignite.ml.knn
- Class org.apache.ignite.ml.knn.KNNModel extends Object implements Serializable
  - Serialized Fields
    - dataset
```
Dataset<C extends Serializable,D extends AutoCloseable> dataset
```
      Dataset with SpatialIndex as a partition data.
    - distanceMeasure
```
DistanceMeasure distanceMeasure
```
      Distance measure.
    - k
```
int k
```
      Number of neighbours.
    - weighted
```
boolean weighted
```
      Weighted or not.
- Class org.apache.ignite.ml.knn.KNNPartitionDataBuilder extends Object implements Serializable
  - Serialized Fields
    - preprocessor
```
Preprocessor<K,V> preprocessor
```
      Data preprocessor.
    - spatialIdxType
```
SpatialIndexType spatialIdxType
```
      Spatial index type.
    - distanceMeasure
```
DistanceMeasure distanceMeasure
```
      Distance measure.
- Class org.apache.ignite.ml.knn.NNClassificationModel extends Object implements Serializable
  - Serialized Fields
    - k
```
int k
```
      Amount of nearest neighbors.
    - distanceMeasure
```
DistanceMeasure distanceMeasure
```
      Distance measure.
    - weighted
```
boolean weighted
```
      kNN strategy.
Package org.apache.ignite.ml.knn.ann
- Class org.apache.ignite.ml.knn.ann.ANNClassificationModel extends NNClassificationModel implements Serializable
  
  serialVersionUID:
  
  -127312378991350345L
  - Serialized Fields
    - candidates
```
LabeledVectorSet<Row extends LabeledVector> candidates
```
      The labeled set of candidates.
    - centroindsStat
```
ANNClassificationTrainer.CentroidStat centroindsStat
```
      Centroid statistics.
- Class org.apache.ignite.ml.knn.ann.ANNClassificationTrainer.CentroidStat extends Object implements Serializable
  
  serialVersionUID:
  
  7624883170532045144L
  - Serialized Fields
    - centroidStat
```
ConcurrentHashMap<K,V> centroidStat
```
      Count of points closest to the center with a given index.
    - counts
```
ConcurrentHashMap<K,V> counts
```
      Count of points closest to the center with a given index.
    - clsLblsSet
```
ConcurrentSkipListSet<E> clsLblsSet
```
      Set of unique labels.
- Class org.apache.ignite.ml.knn.ann.ANNModelFormat extends KNNModelFormat implements Serializable
  - Serialized Fields
    - candidatesStat
```
ANNClassificationTrainer.CentroidStat candidatesStat
```
      Centroid statistics.
    - candidates
```
LabeledVectorSet<Row extends LabeledVector> candidates
```
      The labeled set of candidates.
- Class org.apache.ignite.ml.knn.ann.KNNModelFormat extends Object implements Serializable
  - Serialized Fields
    - k
```
int k
```
      Amount of nearest neighbors.
    - distanceMeasure
```
DistanceMeasure distanceMeasure
```
      Distance measure.
    - weighted
```
boolean weighted
```
      Weighted or not.
Package org.apache.ignite.ml.knn.classification
- Class org.apache.ignite.ml.knn.classification.KNNClassificationModel extends KNNModel<Double> implements Serializable
Package org.apache.ignite.ml.knn.regression
- Class org.apache.ignite.ml.knn.regression.KNNRegressionModel extends KNNModel<Double> implements Serializable
  - Serialized Fields
    - predictor
```
org.apache.ignite.ml.knn.regression.KNNRegressionModel.KNNRegressionPredictor predictor
```
      Regression predictor.
Package org.apache.ignite.ml.math.distances
- Class org.apache.ignite.ml.math.distances.EuclideanDistance extends Object implements Serializable
  
  serialVersionUID:
  
  1717556319784040040L
  - Serialization Methods
    - readExternal
```
public void readExternal(ObjectInput in)
                  throws IOException,
                         ClassNotFoundException
```
      Throws:
      
      IOException
      
      ClassNotFoundException
    - writeExternal
```
public void writeExternal(ObjectOutput out)
                   throws IOException
```
      Throws:
      
      IOException
- Class org.apache.ignite.ml.math.distances.HammingDistance extends Object implements Serializable
  
  serialVersionUID:
  
  1771556549784040098L
  - Serialization Methods
    - readExternal
```
public void readExternal(ObjectInput in)
                  throws IOException,
                         ClassNotFoundException
```
      Throws:
      
      IOException
      
      ClassNotFoundException
    - writeExternal
```
public void writeExternal(ObjectOutput out)
                   throws IOException
```
      Throws:
      
      IOException
- Class org.apache.ignite.ml.math.distances.ManhattanDistance extends Object implements Serializable
  
  serialVersionUID:
  
  8989556319784040040L
  - Serialization Methods
    - readExternal
```
public void readExternal(ObjectInput in)
                  throws IOException,
                         ClassNotFoundException
```
      Throws:
      
      IOException
      
      ClassNotFoundException
    - writeExternal
```
public void writeExternal(ObjectOutput out)
                   throws IOException
```
      Throws:
      
      IOException
Package org.apache.ignite.ml.math.exceptions
- Class org.apache.ignite.ml.math.exceptions.CardinalityException extends MathIllegalArgumentException implements Serializable
  
  serialVersionUID:
  
  0L
- Class org.apache.ignite.ml.math.exceptions.ColumnIndexException extends IgniteException implements Serializable
  
  serialVersionUID:
  
  0L
- Class org.apache.ignite.ml.math.exceptions.IndexException extends IgniteException implements Serializable
  
  serialVersionUID:
  
  0L
- Class org.apache.ignite.ml.math.exceptions.MathIllegalArgumentException extends MathRuntimeException implements Serializable
  
  serialVersionUID:
  
  -6024911025449780478L
- Class org.apache.ignite.ml.math.exceptions.MathRuntimeException extends IgniteException implements Serializable
  
  serialVersionUID:
  
  20120926L
- Class org.apache.ignite.ml.math.exceptions.NoDataException extends MathIllegalArgumentException implements Serializable
  
  serialVersionUID:
  
  -3629324471511904459L
- Class org.apache.ignite.ml.math.exceptions.NonSquareMatrixException extends CardinalityException implements Serializable
- Class org.apache.ignite.ml.math.exceptions.RowIndexException extends IgniteException implements Serializable
  
  serialVersionUID:
  
  0L
- Class org.apache.ignite.ml.math.exceptions.SingularMatrixException extends MathIllegalArgumentException implements Serializable
- Class org.apache.ignite.ml.math.exceptions.UnsupportedOperationException extends IgniteException implements Serializable
  
  serialVersionUID:
  
  0L
Package org.apache.ignite.ml.math.exceptions.knn
- Class org.apache.ignite.ml.math.exceptions.knn.EmptyFileException extends IgniteException implements Serializable
  
  serialVersionUID:
  
  0L
- Class org.apache.ignite.ml.math.exceptions.knn.FileParsingException extends IgniteException implements Serializable
  
  serialVersionUID:
  
  0L
- Class org.apache.ignite.ml.math.exceptions.knn.NoLabelVectorException extends IgniteException implements Serializable
  
  serialVersionUID:
  
  0L
Package org.apache.ignite.ml.math.exceptions.preprocessing
- Class org.apache.ignite.ml.math.exceptions.preprocessing.UnknownCategorialFeatureValue extends IgniteException implements Serializable
  
  serialVersionUID:
  
  0L
Package org.apache.ignite.ml.math.functions
Package org.apache.ignite.ml.math.isolve
- Class org.apache.ignite.ml.math.isolve.IterativeSolverResult extends Object implements Serializable
  
  serialVersionUID:
  
  8084061028708491097L
  - Serialized Fields
    - x
```
double[] x
```
      The final solution.
    - iterations
```
int iterations
```
      Iteration number upon termination.
Package org.apache.ignite.ml.math.isolve.lsqr
- Class org.apache.ignite.ml.math.isolve.lsqr.LSQRPartitionContext extends Object implements Serializable
  
  serialVersionUID:
  
  -8159608186899430315L
  - Serialized Fields
    - u
```
double[] u
```
      Part of U vector.
- Class org.apache.ignite.ml.math.isolve.lsqr.LSQRResult extends IterativeSolverResult implements Serializable
  
  serialVersionUID:
  
  -8866269808589635947L
  - Serialized Fields
    - isstop
```
int isstop
```
      Gives the reason for termination. 1 means x is an approximate solution to Ax = b. 2 means x approximately solves the least-squares problem.
    - r1norm
```
double r1norm
```
      Represents norm(r), where r = b - Ax.
    - r2norm
```
double r2norm
```
      Represents sqrt( norm(r)^2 + damp^2 * norm(x)^2 ). Equal to r1norm if damp == 0.
    - anorm
```
double anorm
```
      Estimate of Frobenius norm of Abar = [[A]; [damp*I]].
    - acond
```
double acond
```
      Estimate of cond(Abar).
    - arnorm
```
double arnorm
```
      Estimate of norm(A'*r - damp^2*x).
    - xnorm
```
double xnorm
```
      Represents norm(x).
    - var
```
double[] var
```
      If calc_var is True, estimates all diagonals of (A'A)^{-1} (if damp == 0) or more generally (A'A + damp^2*I)^{-1}. This is well defined if A has full column rank or damp > 0.
Package org.apache.ignite.ml.math.primitives.matrix
- Class org.apache.ignite.ml.math.primitives.matrix.AbstractMatrix extends Object implements Serializable
  - Serialization Methods
    - readExternal
```
public void readExternal(ObjectInput in)
                  throws IOException,
                         ClassNotFoundException
```
      Throws:
      
      IOException
      
      ClassNotFoundException
    - writeExternal
```
public void writeExternal(ObjectOutput out)
                   throws IOException
```
      Throws:
      
      IOException

Package org.apache.ignite.ml.math.primitives.matrix.impl

Class org.apache.ignite.ml.math.primitives.matrix.impl.DenseMatrix extends AbstractMatrix implements Serializable

Serialization Methods

readExternal

public void readExternal(ObjectInput in)
                  throws IOException,
                         ClassNotFoundException

Throws:: IOException; ClassNotFoundException

writeExternal

public void writeExternal(ObjectOutput out)
                   throws IOException

Throws:: IOException

Class org.apache.ignite.ml.math.primitives.matrix.impl.SparseMatrix extends AbstractMatrix implements Serializable

Serialization Methods

readExternal

public void readExternal(ObjectInput in)
                  throws IOException,
                         ClassNotFoundException

Throws:: IOException; ClassNotFoundException

writeExternal

public void writeExternal(ObjectOutput out)
                   throws IOException

Throws:: IOException

Class org.apache.ignite.ml.math.primitives.matrix.impl.ViewMatrix extends AbstractMatrix implements Serializable

Serialization Methods

readExternal

public void readExternal(ObjectInput in)
                  throws IOException,
                         ClassNotFoundException

Throws:: IOException; ClassNotFoundException

writeExternal

public void writeExternal(ObjectOutput out)
                   throws IOException

Throws:: IOException

Package org.apache.ignite.ml.math.primitives.matrix.storage

Class org.apache.ignite.ml.math.primitives.matrix.storage.DenseMatrixStorage extends Object implements Serializable

Serialization Methods

readExternal

public void readExternal(ObjectInput in)
                  throws IOException,
                         ClassNotFoundException

Throws:: IOException; ClassNotFoundException

writeExternal

public void writeExternal(ObjectOutput out)
                   throws IOException

Throws:: IOException

Class org.apache.ignite.ml.math.primitives.matrix.storage.SparseMatrixStorage extends Object implements Serializable

Serialization Methods

readExternal

public void readExternal(ObjectInput in)
                  throws IOException,
                         ClassNotFoundException

Throws:: IOException; ClassNotFoundException

writeExternal

public void writeExternal(ObjectOutput out)
                   throws IOException

Throws:: IOException

Class org.apache.ignite.ml.math.primitives.matrix.storage.ViewMatrixStorage extends Object implements Serializable

Serialization Methods

readExternal

public void readExternal(ObjectInput in)
                  throws IOException,
                         ClassNotFoundException

Throws:: IOException; ClassNotFoundException

writeExternal

public void writeExternal(ObjectOutput out)
                   throws IOException

Throws:: IOException

Package org.apache.ignite.ml.math.primitives.vector
- Class org.apache.ignite.ml.math.primitives.vector.AbstractVector extends Object implements Serializable
  - Serialization Methods
    - readExternal
```
public void readExternal(ObjectInput in)
                  throws IOException,
                         ClassNotFoundException
```
      Throws:
      
      IOException
      
      ClassNotFoundException
    - writeExternal
```
public void writeExternal(ObjectOutput out)
                   throws IOException
```
      Throws:
      
      IOException

Package org.apache.ignite.ml.math.primitives.vector.impl

Class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingNamedVector extends DelegatingVector implements Serializable

serialVersionUID:

-3425468245964928754L
- Serialization Methods
  - readExternal
```
public void readExternal(ObjectInput in)
                  throws IOException,
                         ClassNotFoundException
```
    Throws:
    
    IOException
    
    ClassNotFoundException
  - writeExternal
```
public void writeExternal(ObjectOutput out)
                   throws IOException
```
    Throws:
    
    IOException

Class org.apache.ignite.ml.math.primitives.vector.impl.DelegatingVector extends Object implements Serializable

Serialization Methods

readExternal

public void readExternal(ObjectInput in)
                  throws IOException,
                         ClassNotFoundException

Throws:: IOException; ClassNotFoundException

writeExternal

public void writeExternal(ObjectOutput out)
                   throws IOException

Throws:: IOException

Class org.apache.ignite.ml.math.primitives.vector.impl.DenseVector extends AbstractVector implements Serializable

Serialization Methods

readExternal

public void readExternal(ObjectInput in)
                  throws IOException,
                         ClassNotFoundException

Throws:: IOException; ClassNotFoundException

writeExternal

public void writeExternal(ObjectOutput out)
                   throws IOException

Throws:: IOException

Class org.apache.ignite.ml.math.primitives.vector.impl.SparseVector extends AbstractVector implements Serializable

Serialization Methods

readExternal

public void readExternal(ObjectInput in)
                  throws IOException,
                         ClassNotFoundException

Throws:: IOException; ClassNotFoundException

writeExternal

public void writeExternal(ObjectOutput out)
                   throws IOException

Throws:: IOException

Class org.apache.ignite.ml.math.primitives.vector.impl.VectorizedViewMatrix extends AbstractVector implements Serializable

Serialization Methods

readExternal

public void readExternal(ObjectInput in)
                  throws IOException,
                         ClassNotFoundException

Throws:: IOException; ClassNotFoundException

writeExternal

public void writeExternal(ObjectOutput out)
                   throws IOException

Throws:: IOException

Class org.apache.ignite.ml.math.primitives.vector.impl.VectorView extends AbstractVector implements Serializable

Serialization Methods

readExternal

public void readExternal(ObjectInput in)
                  throws IOException,
                         ClassNotFoundException

Throws:: IOException; ClassNotFoundException

writeExternal

public void writeExternal(ObjectOutput out)
                   throws IOException

Throws:: IOException

Package org.apache.ignite.ml.math.primitives.vector.storage

Class org.apache.ignite.ml.math.primitives.vector.storage.DenseVectorStorage extends Object implements Serializable

Serialization Methods

readExternal

public void readExternal(ObjectInput in)
                  throws IOException,
                         ClassNotFoundException

Throws:: IOException; ClassNotFoundException

writeExternal

public void writeExternal(ObjectOutput out)
                   throws IOException

Throws:: IOException

Class org.apache.ignite.ml.math.primitives.vector.storage.SparseVectorStorage extends Object implements Serializable

Serialization Methods

readExternal

public void readExternal(ObjectInput in)
                  throws IOException,
                         ClassNotFoundException

Throws:: IOException; ClassNotFoundException

writeExternal

public void writeExternal(ObjectOutput out)
                   throws IOException

Throws:: IOException

Class org.apache.ignite.ml.math.primitives.vector.storage.VectorizedViewMatrixStorage extends Object implements Serializable

Serialization Methods

readExternal

public void readExternal(ObjectInput in)
                  throws IOException,
                         ClassNotFoundException

Throws:: IOException; ClassNotFoundException

writeExternal

public void writeExternal(ObjectOutput out)
                   throws IOException

Throws:: IOException

Class org.apache.ignite.ml.math.primitives.vector.storage.VectorViewStorage extends Object implements Serializable

Serialization Methods

readExternal

public void readExternal(ObjectInput in)
                  throws IOException,
                         ClassNotFoundException

Throws:: IOException; ClassNotFoundException

writeExternal

public void writeExternal(ObjectOutput out)
                   throws IOException

Throws:: IOException

Package org.apache.ignite.ml.math.stat
- Class org.apache.ignite.ml.math.stat.DistributionMixture extends Object implements Serializable
  - Serialized Fields
    - componentProbs
```
Vector componentProbs
```
      Component probabilities.
    - distributions
```
List<E> distributions
```
      Distributions.
    - dimension
```
int dimension
```
      Dimension.
- Class org.apache.ignite.ml.math.stat.MultivariateGaussianDistribution extends Object implements Serializable
  - Serialized Fields
    - mean
```
Vector mean
```
      Mean.
    - invCovariance
```
Matrix invCovariance
```
      Covariance^-1.
    - normalizer
```
double normalizer
```
      Normalizer.
    - covariance
```
Matrix covariance
```
      Covariance.
Package org.apache.ignite.ml.multiclass
- Class org.apache.ignite.ml.multiclass.MultiClassModel extends Object implements Serializable
  
  serialVersionUID:
  
  -114986533359917L
  - Serialized Fields
    - models
```
Map<K,V> models
```
      List of models associated with each class.
Package org.apache.ignite.ml.naivebayes.discrete
- Class org.apache.ignite.ml.naivebayes.discrete.DiscreteNaiveBayesModel extends Object implements Serializable
  
  serialVersionUID:
  
  -127386523291350345L
  - Serialized Fields
    - probabilities
```
double[][][] probabilities
```
      Probabilities of features for all classes for each label. labels[c][f][b] contains a probability for class c for feature f for bucket b.
    - clsProbabilities
```
double[] clsProbabilities
```
      Prior probabilities of each class
    - labels
```
double[] labels
```
      Labels.
    - bucketThresholds
```
double[][] bucketThresholds
```
      The bucket thresholds to convert a features to discrete values. bucketThresholds[f][b] contains the right border for feature f for bucket b. Everything which is above the last thresdold goes to the next bucket.
    - sumsHolder
```
DiscreteNaiveBayesSumsHolder sumsHolder
```
      Amount values in each buckek for each feature per label.
- Class org.apache.ignite.ml.naivebayes.discrete.DiscreteNaiveBayesSumsHolder extends Object implements Serializable
  
  serialVersionUID:
  
  -2059362365851744206L
  - Serialized Fields
    - valuesInBucketPerLbl
```
Map<K,V> valuesInBucketPerLbl
```
      Sums of values correspones to a particular bucket for all features for each label
    - featureCountersPerLbl
```
Map<K,V> featureCountersPerLbl
```
      Rows count for each label
Package org.apache.ignite.ml.naivebayes.gaussian
- Class org.apache.ignite.ml.naivebayes.gaussian.GaussianNaiveBayesModel extends Object implements Serializable
  
  serialVersionUID:
  
  -127386523291350345L
  - Serialized Fields
    - means
```
double[][] means
```
      Means of features for all classes. kth row contains means for labels[k] class.
    - variances
```
double[][] variances
```
      Variances of features for all classes. kth row contains variances for labels[k] class
    - classProbabilities
```
double[] classProbabilities
```
      Prior probabilities of each class
    - labels
```
double[] labels
```
      Labels.
    - sumsHolder
```
org.apache.ignite.ml.naivebayes.gaussian.GaussianNaiveBayesSumsHolder sumsHolder
```
      Feature sum, squared sum and count per label.
Package org.apache.ignite.ml.nn
- Class org.apache.ignite.ml.nn.MLPLayer extends Object implements Serializable
  - Serialized Fields
    - weights
```
Matrix weights
```
      Weights matrix.
    - biases
```
Vector biases
```
      Biases vector.
- Class org.apache.ignite.ml.nn.MultilayerPerceptron extends Object implements Serializable
  - Serialized Fields
    - architecture
```
MLPArchitecture architecture
```
      This MLP architecture.
    - layers
```
List<E> layers
```
      List containing layers parameters.
    - below
```
MultilayerPerceptron below
```
      MLP which is 'below' this MLP (i.e. below output goes to this MLP as input).
Package org.apache.ignite.ml.nn.architecture
- Class org.apache.ignite.ml.nn.architecture.LayerArchitecture extends Object implements Serializable
  - Serialized Fields
    - neuronsCnt
```
int neuronsCnt
```
      Count of neurons on layer.
- Class org.apache.ignite.ml.nn.architecture.MLPArchitecture extends Object implements Serializable
  - Serialized Fields
    - layers
```
List<E> layers
```
      List of layers architectures.
- Class org.apache.ignite.ml.nn.architecture.TransformationLayerArchitecture extends LayerArchitecture implements Serializable
  - Serialized Fields
    - hasBias
```
boolean hasBias
```
      Flag indicating presence of bias in layer.
    - activationFunction
```
IgniteDifferentiableDoubleToDoubleFunction activationFunction
```
      Activation function for layer.
Package org.apache.ignite.ml.optimization
Package org.apache.ignite.ml.optimization.updatecalculators
- Class org.apache.ignite.ml.optimization.updatecalculators.NesterovParameterUpdate extends Object implements Serializable
  
  serialVersionUID:
  
  -6370106062737202385L
  - Serialized Fields
    - prevIterationUpdates
```
Vector prevIterationUpdates
```
      Previous step weights updates.
- Class org.apache.ignite.ml.optimization.updatecalculators.NesterovUpdateCalculator extends Object implements Serializable
  
  serialVersionUID:
  
  251066184668190622L
  - Serialized Fields
    - learningRate
```
double learningRate
```
      Learning rate.
    - loss
```
IgniteFunction<T,R> loss
```
      Loss function.
    - momentum
```
double momentum
```
      Momentum constant.
- Class org.apache.ignite.ml.optimization.updatecalculators.RPropParameterUpdate extends Object implements Serializable
  
  serialVersionUID:
  
  -165584242642323332L
  - Serialized Fields
    - prevIterationUpdates
```
Vector prevIterationUpdates
```
      Previous iteration parameters updates. In original paper they are labeled with "delta w".
    - prevIterationGradient
```
Vector prevIterationGradient
```
      Previous iteration model partial derivatives by parameters.
    - deltas
```
Vector deltas
```
      Previous iteration parameters deltas. In original paper they are labeled with "delta".
    - updatesMask
```
Vector updatesMask
```
      Updates mask (values by which updateCache is multiplied).
- Class org.apache.ignite.ml.optimization.updatecalculators.RPropUpdateCalculator extends Object implements Serializable
  
  serialVersionUID:
  
  -5156816330041409864L
  - Serialized Fields
    - initUpdate
```
double initUpdate
```
      Initial update.
    - accelerationRate
```
double accelerationRate
```
      Acceleration rate.
    - deaccelerationRate
```
double deaccelerationRate
```
      Deacceleration rate.
    - loss
```
IgniteFunction<T,R> loss
```
      Loss function.
- Class org.apache.ignite.ml.optimization.updatecalculators.SimpleGDParameterUpdate extends Object implements Serializable
  
  serialVersionUID:
  
  -8732955283436005621L
  - Serialized Fields
    - gradient
```
Vector gradient
```
      Gradient.
- Class org.apache.ignite.ml.optimization.updatecalculators.SimpleGDUpdateCalculator extends Object implements Serializable
  
  serialVersionUID:
  
  -4237332083320879334L
  - Serialized Fields
    - learningRate
```
double learningRate
```
      Learning rate.
    - loss
```
IgniteFunction<T,R> loss
```
      Loss function.
Package org.apache.ignite.ml.pipeline
- Class org.apache.ignite.ml.pipeline.PipelineMdl extends Object implements Serializable
  - Serialized Fields
    - internalMdl
```
IgniteModel<T,V> internalMdl
```
      Internal model produced by Pipeline.
    - preprocessor
```
Preprocessor<K,V> preprocessor
```
      Final preprocessor.
Package org.apache.ignite.ml.preprocessing
Package org.apache.ignite.ml.preprocessing.binarization
- Class org.apache.ignite.ml.preprocessing.binarization.BinarizationPreprocessor extends Object implements Serializable
  
  serialVersionUID:
  
  6877811577892621239L
  - Serialized Fields
    - threshold
```
double threshold
```
      Threshold.
    - basePreprocessor
```
Preprocessor<K,V> basePreprocessor
```
      Base preprocessor.
Package org.apache.ignite.ml.preprocessing.developer
- Class org.apache.ignite.ml.preprocessing.developer.MappedPreprocessor extends Object implements Serializable
  - Serialized Fields
    - original
```
Preprocessor<K,V> original
```
      Original preprocessor.
    - mapping
```
IgniteFunction<T,R> mapping
```
      Vectors mapping.
- Class org.apache.ignite.ml.preprocessing.developer.PatchedPreprocessor extends Object implements Serializable
  
  serialVersionUID:
  
  6865823577892621239L
  - Serialized Fields
    - basePreprocessor
```
Preprocessor<K,V> basePreprocessor
```
      Base preprocessor.
    - lbPatcher
```
IgniteFunction<T,R> lbPatcher
```
      Label patcher.
Package org.apache.ignite.ml.preprocessing.encoding
- Class org.apache.ignite.ml.preprocessing.encoding.EncoderPreprocessor extends Object implements Serializable
  - Serialized Fields
    - encodingValues
```
Map<K,V>[] encodingValues
```
      Filling values.
    - basePreprocessor
```
Preprocessor<K,V> basePreprocessor
```
      Base preprocessor.
    - handledIndices
```
Set<E> handledIndices
```
      Feature indices to apply encoder.
Package org.apache.ignite.ml.preprocessing.encoding.onehotencoder
- Class org.apache.ignite.ml.preprocessing.encoding.onehotencoder.OneHotEncoderPreprocessor extends EncoderPreprocessor<K,V> implements Serializable
  
  serialVersionUID:
  
  6237812226552623469L
Package org.apache.ignite.ml.preprocessing.encoding.stringencoder
- Class org.apache.ignite.ml.preprocessing.encoding.stringencoder.StringEncoderPreprocessor extends EncoderPreprocessor<K,V> implements Serializable
  
  serialVersionUID:
  
  6237712226382623488L
Package org.apache.ignite.ml.preprocessing.imputing
- Class org.apache.ignite.ml.preprocessing.imputing.ImputerPreprocessor extends Object implements Serializable
  
  serialVersionUID:
  
  6887800576392623469L
  - Serialized Fields
    - imputingValues
```
Vector imputingValues
```
      Filling values.
    - basePreprocessor
```
Preprocessor<K,V> basePreprocessor
```
      Base preprocessor.
Package org.apache.ignite.ml.preprocessing.maxabsscaling
- Class org.apache.ignite.ml.preprocessing.maxabsscaling.MaxAbsScalerPreprocessor extends Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - maxAbs
```
double[] maxAbs
```
      Maximum absolute values.
    - basePreprocessor
```
Preprocessor<K,V> basePreprocessor
```
      Base preprocessor.
Package org.apache.ignite.ml.preprocessing.minmaxscaling
- Class org.apache.ignite.ml.preprocessing.minmaxscaling.MinMaxScalerPreprocessor extends Object implements Serializable
  
  serialVersionUID:
  
  6997800576392623469L
  - Serialized Fields
    - min
```
double[] min
```
      Minimal values.
    - max
```
double[] max
```
      Maximum values.
    - basePreprocessor
```
Preprocessor<K,V> basePreprocessor
```
      Base preprocessor.
Package org.apache.ignite.ml.preprocessing.normalization
- Class org.apache.ignite.ml.preprocessing.normalization.NormalizationPreprocessor extends Object implements Serializable
  
  serialVersionUID:
  
  6873438115778921295L
  - Serialized Fields
    - p
```
int p
```
      Normalization in L^p space. Must be greater than 0. Default value is 2.
    - basePreprocessor
```
Preprocessor<K,V> basePreprocessor
```
      Base preprocessor.
Package org.apache.ignite.ml.preprocessing.standardscaling
- Class org.apache.ignite.ml.preprocessing.standardscaling.StandardScalerPreprocessor extends Object implements Serializable
  
  serialVersionUID:
  
  -5977957318991608203L
  - Serialized Fields
    - means
```
double[] means
```
      Means for each column.
    - sigmas
```
double[] sigmas
```
      Standard deviation for each column.
    - basePreprocessor
```
Preprocessor<K,V> basePreprocessor
```
      Base preprocessor.
Package org.apache.ignite.ml.recommendation
- Class org.apache.ignite.ml.recommendation.ObjectSubjectPair extends Object implements Serializable
  
  serialVersionUID:
  
  2016407650288003508L
  - Serialized Fields
    - obj
```
Serializable obj
```
      Object of recommendation.
    - subj
```
Serializable subj
```
      Subject of recommendation.
- Class org.apache.ignite.ml.recommendation.ObjectSubjectRatingTriplet extends ObjectSubjectPair<O extends Serializable,S extends Serializable> implements Serializable
  
  serialVersionUID:
  
  2983086891476351865L
  - Serialized Fields
    - rating
```
Double rating
```
      Rating.
- Class org.apache.ignite.ml.recommendation.RecommendationModel extends Object implements Serializable
  
  serialVersionUID:
  
  -3664382168079054785L
  - Serialized Fields
    - objMatrix
```
Map<K,V> objMatrix
```
      Object of recommendation matrix (result of factorization of rating matrix).
    - subjMatrix
```
Map<K,V> subjMatrix
```
      Subject of recommendation matrix (result of factorization of rating matrix).
Package org.apache.ignite.ml.recommendation.util
- Class org.apache.ignite.ml.recommendation.util.MatrixFactorizationGradient extends Object implements Serializable
  
  serialVersionUID:
  
  -213199977280252181L
  - Serialized Fields
    - objGrad
```
Map<K,V> objGrad
```
      Gradient of object of recommendation matrix.
    - subjGrad
```
Map<K,V> subjGrad
```
      Gradient of subject of recommendation function.
    - rows
```
int rows
```
      Number of rows the gradient calculated on.
- Class org.apache.ignite.ml.recommendation.util.RecommendationBinaryDatasetDataBuilder extends Object implements Serializable
  
  serialVersionUID:
  
  7807817562932691037L
  - Serialized Fields
    - objFieldName
```
String objFieldName
```
      Object field name.
    - subjFieldName
```
String subjFieldName
```
      Subject field name.
    - ratingFieldName
```
String ratingFieldName
```
      Rating field name.
- Class org.apache.ignite.ml.recommendation.util.RecommendationDatasetDataBuilder extends Object implements Serializable
  
  serialVersionUID:
  
  -4781371834972484668L
Package org.apache.ignite.ml.regressions.linear
- Class org.apache.ignite.ml.regressions.linear.LinearRegressionModel extends Object implements Serializable
  
  serialVersionUID:
  
  -105984600091550226L
  - Serialized Fields
    - weights
```
Vector weights
```
      Multiplier of the objects's vector required to make prediction.
    - intercept
```
double intercept
```
      Intercept of the linear regression model
Package org.apache.ignite.ml.regressions.logistic
- Class org.apache.ignite.ml.regressions.logistic.LogisticRegressionModel extends Object implements Serializable
  
  serialVersionUID:
  
  -133984600091550776L
  - Serialized Fields
    - weights
```
Vector weights
```
      Multiplier of the objects's vector required to make prediction.
    - intercept
```
double intercept
```
      Intercept of the linear regression model.
    - isKeepingRawLabels
```
boolean isKeepingRawLabels
```
      Output label format. 0 and 1 for false value and raw sigmoid regression value otherwise.
    - threshold
```
double threshold
```
      Threshold to assign '1' label to the observation if raw value more than this threshold.
Package org.apache.ignite.ml.selection.scoring.metric.exceptions
- Class org.apache.ignite.ml.selection.scoring.metric.exceptions.UnknownClassLabelException extends IgniteException implements Serializable
  
  serialVersionUID:
  
  0L
Package org.apache.ignite.ml.selection.split
- Class org.apache.ignite.ml.selection.split.TrainTestDatasetSplitter extends Object implements Serializable
  
  serialVersionUID:
  
  3148338796945474491L
  - Serialized Fields
    - mapper
```
UniformMapper<K,V> mapper
```
      Mapper used to map a key-value pair to a point on the segment (0, 1).
- Class org.apache.ignite.ml.selection.split.TrainTestSplit extends Object implements Serializable
  
  serialVersionUID:
  
  2165934349492062372L
  - Serialized Fields
    - trainFilter
```
IgniteBiPredicate<E1,E2> trainFilter
```
      Filter that selects train subset of the dataset.
    - testFilter
```
IgniteBiPredicate<E1,E2> testFilter
```
      Filter that select test subset of the dataset.
Package org.apache.ignite.ml.selection.split.mapper
- Class org.apache.ignite.ml.selection.split.mapper.SHA256UniformMapper extends Object implements Serializable
  
  serialVersionUID:
  
  -8179630783617088803L
  - Serialized Fields
    - shuffleStgy
```
List<E> shuffleStgy
```
      Strategy that defines how bytes will be swapped after SHA-256.

Package org.apache.ignite.ml.structures

Class org.apache.ignite.ml.structures.Dataset extends Object implements Serializable

Serialization Methods

readExternal

public void readExternal(ObjectInput in)
                  throws IOException,
                         ClassNotFoundException

Throws:: IOException; ClassNotFoundException

writeExternal

public void writeExternal(ObjectOutput out)
                   throws IOException

Throws:: IOException

Class org.apache.ignite.ml.structures.DatasetRow extends Object implements Serializable

Serialization Methods

readExternal

public void readExternal(ObjectInput in)
                  throws IOException,
                         ClassNotFoundException

Throws:: IOException; ClassNotFoundException

writeExternal

public void writeExternal(ObjectOutput out)
                   throws IOException

Throws:: IOException

Class org.apache.ignite.ml.structures.FeatureMetadata extends Object implements Serializable

Serialization Methods

readExternal

public void readExternal(ObjectInput in)
                  throws IOException,
                         ClassNotFoundException

Throws:: IOException; ClassNotFoundException

writeExternal

public void writeExternal(ObjectOutput out)
                   throws IOException

Throws:: IOException

Class org.apache.ignite.ml.structures.LabeledVector extends DatasetRow<Vector> implements Serializable

Serialization Methods

readExternal

public void readExternal(ObjectInput in)
                  throws IOException,
                         ClassNotFoundException

Throws:: IOException; ClassNotFoundException

writeExternal

public void writeExternal(ObjectOutput out)
                   throws IOException

Throws:: IOException

Class org.apache.ignite.ml.structures.LabeledVectorSet extends Dataset<Row extends LabeledVector> implements Serializable

Serialization Methods

readExternal

public void readExternal(ObjectInput in)
                  throws IOException,
                         ClassNotFoundException

Throws:: IOException; ClassNotFoundException

writeExternal

public void writeExternal(ObjectOutput out)
                   throws IOException

Throws:: IOException

Class org.apache.ignite.ml.structures.LabeledVectorSetTestTrainPair extends Object implements Serializable
- Serialized Fields
  - train
```
LabeledVectorSet<Row extends LabeledVector> train
```
    Data to keep train set.
  - test
```
LabeledVectorSet<Row extends LabeledVector> test
```
    Data to keep test set.

Package org.apache.ignite.ml.structures.partition
- Class org.apache.ignite.ml.structures.partition.LabeledDatasetPartitionDataBuilderOnHeap extends Object implements Serializable
  
  serialVersionUID:
  
  -7820760153954269227L
  - Serialized Fields
    - preprocessor
```
Preprocessor<K,V> preprocessor
```
      Upstream vectorizer.
- Class org.apache.ignite.ml.structures.partition.LabelPartitionDataBuilderOnHeap extends Object implements Serializable
  
  serialVersionUID:
  
  -7820760153954269227L
  - Serialized Fields
    - preprocessor
```
Preprocessor<K,V> preprocessor
```
      Upstream preprocessor.
Package org.apache.ignite.ml.svm
- Class org.apache.ignite.ml.svm.SVMLinearClassificationModel extends Object implements Serializable
  
  serialVersionUID:
  
  -996984622291440226L
  - Serialized Fields
    - isKeepingRawLabels
```
boolean isKeepingRawLabels
```
      Output label format. '0' and '1' for false value and raw distances from the separating hyperplane otherwise.
    - threshold
```
double threshold
```
      Threshold to assign '1' label to the observation if raw value more than this threshold.
    - weights
```
Vector weights
```
      Multiplier of the objects's vector required to make prediction.
    - intercept
```
double intercept
```
      Intercept of the linear regression model.
Package org.apache.ignite.ml.trainers
- Class org.apache.ignite.ml.trainers.AdaptableDatasetModel extends Object implements Serializable
  - Serialized Fields
    - before
```
IgniteFunction<T,R> before
```
      Function applied before inner model.
    - after
```
IgniteFunction<T,R> after
```
      Function applied after inner model.
    - mdl
```
IgniteModel<T,V> mdl
```
      Inner model.
- Class org.apache.ignite.ml.trainers.DatasetTrainer.EmptyDatasetException extends IllegalArgumentException implements Serializable
  
  serialVersionUID:
  
  6914650522523293521L
Package org.apache.ignite.ml.trainers.transformers
- Class org.apache.ignite.ml.trainers.transformers.BaggingUpstreamTransformer extends Object implements Serializable
  
  serialVersionUID:
  
  -913152523469994149L
  - Serialized Fields
    - subsampleRatio
```
double subsampleRatio
```
      Ratio of subsample to entire upstream size
    - seed
```
long seed
```
      Seed used for generating poisson distribution.
Package org.apache.ignite.ml.tree
- Class org.apache.ignite.ml.tree.DecisionTreeConditionalNode extends Object implements Serializable
  
  serialVersionUID:
  
  981630737007982172L
  - Serialized Fields
    - col
```
int col
```
      Column of the value to be tested.
    - threshold
```
double threshold
```
      Threshold.
    - thenNode
```
DecisionTreeNode thenNode
```
      Node that will be used in case tested value is greater then threshold.
    - elseNode
```
DecisionTreeNode elseNode
```
      Node that will be used in case tested value is not greater then threshold.
    - missingNode
```
DecisionTreeNode missingNode
```
      Node that will be used in case tested value is not presented.
- Class org.apache.ignite.ml.tree.DecisionTreeLeafNode extends Object implements Serializable
  
  serialVersionUID:
  
  -472145568088482206L
  - Serialized Fields
    - val
```
double val
```
      Value of the node.
Package org.apache.ignite.ml.tree.data
- Class org.apache.ignite.ml.tree.data.DecisionTreeDataBuilder extends Object implements Serializable
  
  serialVersionUID:
  
  3678784980215216039L
  - Serialized Fields
    - preprocessor
```
Preprocessor<K,V> preprocessor
```
      Extractor of features and labels from an upstream data.
    - buildIdx
```
boolean buildIdx
```
      Build index.
Package org.apache.ignite.ml.tree.impurity
- Class org.apache.ignite.ml.tree.impurity.ImpurityMeasureCalculator extends Object implements Serializable
  - Serialized Fields
    - useIdx
```
boolean useIdx
```
      Use index structure instead of using sorting while learning.
Package org.apache.ignite.ml.tree.impurity.gini
- Class org.apache.ignite.ml.tree.impurity.gini.GiniImpurityMeasure extends Object implements Serializable
  
  serialVersionUID:
  
  5338129703395229970L
  - Serialized Fields
    - left
```
long[] left
```
      Number of elements of each type in the left part.
    - right
```
long[] right
```
      Number of elements of each type in the right part.
- Class org.apache.ignite.ml.tree.impurity.gini.GiniImpurityMeasureCalculator extends ImpurityMeasureCalculator<GiniImpurityMeasure> implements Serializable
  
  serialVersionUID:
  
  -522995134128519679L
  - Serialized Fields
    - lbEncoder
```
Map<K,V> lbEncoder
```
      Label encoder which defines integer value for every label class.
Package org.apache.ignite.ml.tree.impurity.mse
- Class org.apache.ignite.ml.tree.impurity.mse.MSEImpurityMeasure extends Object implements Serializable
  
  serialVersionUID:
  
  4536394578628409689L
  - Serialized Fields
    - leftY
```
double leftY
```
      Sum of all elements in the left part.
    - leftY2
```
double leftY2
```
      Sum of all squared elements in the left part.
    - leftCnt
```
long leftCnt
```
      Number of elements in the left part.
    - rightY
```
double rightY
```
      Sum of all elements in the right part.
    - rightY2
```
double rightY2
```
      Sum of all squared elements in the right part.
    - rightCnt
```
long rightCnt
```
      Number of elements in the right part.
- Class org.apache.ignite.ml.tree.impurity.mse.MSEImpurityMeasureCalculator extends ImpurityMeasureCalculator<MSEImpurityMeasure> implements Serializable
  
  serialVersionUID:
  
  288747414953756824L
Package org.apache.ignite.ml.tree.impurity.util
- Class org.apache.ignite.ml.tree.impurity.util.SimpleStepFunctionCompressor extends Object implements Serializable
  
  serialVersionUID:
  
  -3231787633598409157L
  - Serialized Fields
    - minSizeToBeCompressed
```
int minSizeToBeCompressed
```
      Min size of step function to be compressed.
    - minImpurityIncreaseForRecord
```
double minImpurityIncreaseForRecord
```
      In case of compression min impurity increase that will be recorded.
    - minImpurityDecreaseForRecord
```
double minImpurityDecreaseForRecord
```
      In case of compression min impurity decrease that will be recorded.
Package org.apache.ignite.ml.tree.randomforest.data
- Class org.apache.ignite.ml.tree.randomforest.data.NodeId extends Object implements Serializable
  
  serialVersionUID:
  
  4400852013136423333L
  - Serialized Fields
    - treeId
```
int treeId
```
      Tree id.
    - nodeId
```
long nodeId
```
      Node id.
- Class org.apache.ignite.ml.tree.randomforest.data.NodeSplit extends Object implements Serializable
  
  serialVersionUID:
  
  1331311529596106124L
  - Serialized Fields
    - featureId
```
int featureId
```
      Feature id in feature vector.
    - val
```
double val
```
      Feature split value.
    - impurity
```
double impurity
```
      Impurity at this split point.
    - gain
```
double gain
```
      Gain at this split point.
- Class org.apache.ignite.ml.tree.randomforest.data.TreeNode extends Object implements Serializable
  
  serialVersionUID:
  
  -8546263332508653661L
  - Serialized Fields
    - id
```
NodeId id
```
      Id.
    - featureId
```
int featureId
```
      Feature id.
    - val
```
double val
```
      Value.
    - type
```
TreeNode.Type type
```
      Type.
    - impurity
```
double impurity
```
      Impurity.
    - depth
```
int depth
```
      Depth.
    - left
```
TreeNode left
```
      Left branch.
    - right
```
TreeNode right
```
      Right branch.
- Class org.apache.ignite.ml.tree.randomforest.data.TreeRoot extends Object implements Serializable
  
  serialVersionUID:
  
  531797299171329057L
  - Serialized Fields
    - node
```
TreeNode node
```
      Root node.
    - usedFeatures
```
Set<E> usedFeatures
```
      Used features.
Package org.apache.ignite.ml.tree.randomforest.data.impurity
- Class org.apache.ignite.ml.tree.randomforest.data.impurity.GiniHistogram extends ImpurityHistogram implements Serializable
  
  serialVersionUID:
  
  5780670356098827667L
  - Serialized Fields
    - bucketMeta
```
BucketMeta bucketMeta
```
      Bucket meta.
    - sampleId
```
int sampleId
```
      Sample id.
    - hists
```
ArrayList<E> hists
```
      Hists of counters for each labels.
    - lblMapping
```
Map<K,V> lblMapping
```
      Label mapping to internal representation.
    - bucketIds
```
Set<E> bucketIds
```
      Bucket ids.
- Class org.apache.ignite.ml.tree.randomforest.data.impurity.GiniHistogramsComputer extends ImpurityHistogramsComputer<GiniHistogram> implements Serializable
  
  serialVersionUID:
  
  3672921182944932748L
  - Serialized Fields
    - lblMapping
```
Map<K,V> lblMapping
```
      Label mapping.
- Class org.apache.ignite.ml.tree.randomforest.data.impurity.ImpurityHistogram extends Object implements Serializable
  
  serialVersionUID:
  
  -8982240673834216798L
  - Serialized Fields
    - bucketIds
```
Set<E> bucketIds
```
      Bucket ids.
    - featureId
```
int featureId
```
      Feature id.
- Class org.apache.ignite.ml.tree.randomforest.data.impurity.ImpurityHistogramsComputer extends Object implements Serializable
  
  serialVersionUID:
  
  -4984067145908187508L
- Class org.apache.ignite.ml.tree.randomforest.data.impurity.ImpurityHistogramsComputer.NodeImpurityHistograms extends Object implements Serializable
  
  serialVersionUID:
  
  2700045747590421768L
  - Serialized Fields
    - nodeId
```
NodeId nodeId
```
      Node id.
    - perFeatureStatistics
```
Map<K,V> perFeatureStatistics
```
      Per feature statistics.
- Class org.apache.ignite.ml.tree.randomforest.data.impurity.MSEHistogram extends ImpurityHistogram implements Serializable
  
  serialVersionUID:
  
  9175485616887867623L
  - Serialized Fields
    - bucketMeta
```
BucketMeta bucketMeta
```
      Bucket meta.
    - sampleId
```
int sampleId
```
      Sample id.
    - counters
```
ObjectHistogram<T> counters
```
      Counters.
    - sumOfLabels
```
ObjectHistogram<T> sumOfLabels
```
      Sums of label values.
    - sumOfSquaredLabels
```
ObjectHistogram<T> sumOfSquaredLabels
```
      Sums of squared label values.
- Class org.apache.ignite.ml.tree.randomforest.data.impurity.MSEHistogramComputer extends ImpurityHistogramsComputer<MSEHistogram> implements Serializable
  
  serialVersionUID:
  
  -1544823437437088334L
Package org.apache.ignite.ml.tree.randomforest.data.impurity.basic
- Class org.apache.ignite.ml.tree.randomforest.data.impurity.basic.BootstrappedVectorsHistogram extends ObjectHistogram<BootstrappedVector> implements Serializable
  
  serialVersionUID:
  
  6369546706769440897L
  - Serialized Fields
    - bucketIds
```
Set<E> bucketIds
```
      Bucket ids.
    - bucketMeta
```
BucketMeta bucketMeta
```
      Bucket meta.
    - featureId
```
int featureId
```
      Feature id.
- Class org.apache.ignite.ml.tree.randomforest.data.impurity.basic.CountersHistogram extends BootstrappedVectorsHistogram implements Serializable
  
  serialVersionUID:
  
  7744564790854918891L
  - Serialized Fields
    - sampleId
```
int sampleId
```
      Sample id.
Package org.apache.ignite.ml.tree.randomforest.data.statistics
- Class org.apache.ignite.ml.tree.randomforest.data.statistics.ClassifierLeafValuesComputer extends LeafValuesComputer<ObjectHistogram<BootstrappedVector>> implements Serializable
  
  serialVersionUID:
  
  420416095877577599L
  - Serialized Fields
    - lblMapping
```
Map<K,V> lblMapping
```
      Label mapping.
- Class org.apache.ignite.ml.tree.randomforest.data.statistics.LeafValuesComputer extends Object implements Serializable
  
  serialVersionUID:
  
  -429848953091775832L
- Class org.apache.ignite.ml.tree.randomforest.data.statistics.MeanValueStatistic extends Object implements Serializable
  
  serialVersionUID:
  
  -6265792209142062174L
  - Serialized Fields
    - sumOfValues
```
double sumOfValues
```
      Sum of values.
    - cntOfValues
```
long cntOfValues
```
      Count of values.
- Class org.apache.ignite.ml.tree.randomforest.data.statistics.NormalDistributionStatistics extends Object implements Serializable
  
  serialVersionUID:
  
  -5422805289301484436L
  - Serialized Fields
    - min
```
double min
```
      Min value.
    - max
```
double max
```
      Max value.
    - sumOfSquares
```
double sumOfSquares
```
      Sum of value squares.
    - sumOfValues
```
double sumOfValues
```
      Sum of values.
    - n
```
long n
```
      Count of objects.
- Class org.apache.ignite.ml.tree.randomforest.data.statistics.NormalDistributionStatisticsComputer extends Object implements Serializable
  
  serialVersionUID:
  
  -3699071003012595743L
- Class org.apache.ignite.ml.tree.randomforest.data.statistics.RegressionLeafValuesComputer extends LeafValuesComputer<MeanValueStatistic> implements Serializable
  
  serialVersionUID:
  
  -1898031675220962125L
Package org.apache.ignite.ml.util
- Class org.apache.ignite.ml.util.LRUCache extends LinkedHashMap<K,V> implements Serializable
  
  serialVersionUID:
  
  4266640700294024306L
  - Serialized Fields
    - cacheSize
```
int cacheSize
```
      Cache size.
    - expirationLsnr
```
LRUCacheExpirationListener<V> expirationLsnr
```
      Removal listeners.

Serialized Form

Package org.apache.ignite.ml

Package org.apache.ignite.ml.clustering.gmm

Class org.apache.ignite.ml.clustering.gmm.CovarianceMatricesAggregator extends Object implements Serializable

Serialized Fields

mean

weightedSum

rowCount

Class org.apache.ignite.ml.clustering.gmm.GmmModel extends DistributionMixture<MultivariateGaussianDistribution> implements Serializable

Class org.apache.ignite.ml.clustering.gmm.NewComponentStatisticsAggregator extends Object implements Serializable

Serialized Fields

totalRowCount

rowCountForNewCluster

sumOfAnomalies

Package org.apache.ignite.ml.clustering.kmeans

Class org.apache.ignite.ml.clustering.kmeans.KMeansModel extends Object implements Serializable

Serialized Fields

centers

distanceMeasure

Class org.apache.ignite.ml.clustering.kmeans.KMeansModelFormat extends Object implements Serializable

Serialized Fields

centers

distance

Package org.apache.ignite.ml.composition

Class org.apache.ignite.ml.composition.ModelOnFeaturesSubspace extends Object implements Serializable

Serialized Fields

featuresMapping

mdl

Class org.apache.ignite.ml.composition.ModelsComposition extends Object implements Serializable

Serialized Fields

predictionsAggregator

models

Class org.apache.ignite.ml.composition.ModelsCompositionFormat extends Object implements Serializable

Serialized Fields

models

predictionsAggregator

Package org.apache.ignite.ml.composition.bagging

Class org.apache.ignite.ml.composition.bagging.BaggedModel extends Object implements Serializable

Serialized Fields

mdl

Package org.apache.ignite.ml.composition.boosting

Class org.apache.ignite.ml.composition.boosting.GDBTrainer.GDBModel extends ModelsComposition implements Serializable

Serialized Fields

internalToExternalLblMapping

Package org.apache.ignite.ml.composition.boosting.convergence

Class org.apache.ignite.ml.composition.boosting.convergence.ConvergenceChecker extends Object implements Serializable

Serialized Fields

sampleSize

externalLbToInternalMapping

loss

preprocessor

precision

Package org.apache.ignite.ml.composition.boosting.convergence.mean

Class org.apache.ignite.ml.composition.boosting.convergence.mean.MeanAbsValueConvergenceChecker extends ConvergenceChecker<K,V> implements Serializable

Package org.apache.ignite.ml.composition.boosting.convergence.median

Class org.apache.ignite.ml.composition.boosting.convergence.median.MedianOfMedianConvergenceChecker extends ConvergenceChecker<K,V> implements Serializable

Package org.apache.ignite.ml.composition.boosting.convergence.simple

Class org.apache.ignite.ml.composition.boosting.convergence.simple.ConvergenceCheckerStub extends ConvergenceChecker<K,V> implements Serializable

Package org.apache.ignite.ml.composition.boosting.loss

Class org.apache.ignite.ml.composition.boosting.loss.LogLoss extends Object implements Serializable

Class org.apache.ignite.ml.composition.boosting.loss.SquaredError extends Object implements Serializable

Package org.apache.ignite.ml.composition.combinators.parallel

Class org.apache.ignite.ml.composition.combinators.parallel.ModelsParallelComposition extends Object implements Serializable

Serialized Fields

submodels

Package org.apache.ignite.ml.composition.combinators.sequential

Class org.apache.ignite.ml.composition.combinators.sequential.ModelsSequentialComposition extends Object implements Serializable

Serialized Fields

mdl1

mdl2

Package org.apache.ignite.ml.composition.predictionsaggregator

Class org.apache.ignite.ml.composition.predictionsaggregator.MeanValuePredictionsAggregator extends Object implements Serializable

Class org.apache.ignite.ml.composition.predictionsaggregator.OnMajorityPredictionsAggregator extends Object implements Serializable

Class org.apache.ignite.ml.composition.predictionsaggregator.WeightedPredictionsAggregator extends Object implements Serializable

Serialized Fields

weights

bias

Package org.apache.ignite.ml.composition.stacking

Class org.apache.ignite.ml.composition.stacking.StackedModel extends Object implements Serializable

Serialized Fields