Uses of Class
org.apache.ignite.ml.dataset.primitive.context.EmptyContext

Packages that use EmptyContext

Package	Description
org.apache.ignite.ml.dataset	Base package for machine learning dataset classes.
org.apache.ignite.ml.dataset.primitive.builder.context	Contains partition context builders.
org.apache.ignite.ml.knn	Contains main APIs for kNN algorithms.
org.apache.ignite.ml.knn.classification	Contains main APIs for kNN classification algorithms.
org.apache.ignite.ml.knn.regression	Contains helper classes for kNN regression algorithms.
org.apache.ignite.ml.nn	Contains neural networks and related classes.
org.apache.ignite.ml.tree.leaf	Root package for decision trees leaf builders.

Uses of EmptyContext in org.apache.ignite.ml.dataset

Methods in org.apache.ignite.ml.dataset that return types with arguments of type EmptyContext

Modifier and Type	Method and Description
static <K,V> SimpleDataset<EmptyContext>	DatasetFactory.createSimpleDataset(DatasetBuilder<K,V> datasetBuilder, IgniteBiFunction<K,V,double[]> featureExtractor) Creates a new instance of distributed SimpleDataset using the specified featureExtractor.
static <K,V> SimpleDataset<EmptyContext>	DatasetFactory.createSimpleDataset(Ignite ignite, IgniteCache<K,V> upstreamCache, IgniteBiFunction<K,V,double[]> featureExtractor) Creates a new instance of distributed SimpleDataset using the specified featureExtractor.
static <K,V> SimpleDataset<EmptyContext>	DatasetFactory.createSimpleDataset(Map<K,V> upstreamMap, int partitions, IgniteBiFunction<K,V,double[]> featureExtractor) Creates a new instance of local SimpleDataset using the specified featureExtractor.
static <K,V> SimpleLabeledDataset<EmptyContext>	DatasetFactory.createSimpleLabeledDataset(DatasetBuilder<K,V> datasetBuilder, IgniteBiFunction<K,V,double[]> featureExtractor, IgniteBiFunction<K,V,double[]> lbExtractor) Creates a new instance of distributed SimpleLabeledDataset using the specified featureExtractor and lbExtractor.
static <K,V> SimpleLabeledDataset<EmptyContext>	DatasetFactory.createSimpleLabeledDataset(Ignite ignite, IgniteCache<K,V> upstreamCache, IgniteBiFunction<K,V,double[]> featureExtractor, IgniteBiFunction<K,V,double[]> lbExtractor) Creates a new instance of distributed SimpleLabeledDataset using the specified featureExtractor and lbExtractor.
static <K,V> SimpleLabeledDataset<EmptyContext>	DatasetFactory.createSimpleLabeledDataset(Map<K,V> upstreamMap, int partitions, IgniteBiFunction<K,V,double[]> featureExtractor, IgniteBiFunction<K,V,double[]> lbExtractor) Creates a new instance of local SimpleLabeledDataset using the specified featureExtractor and lbExtractor.

Uses of EmptyContext in org.apache.ignite.ml.dataset.primitive.builder.context

Methods in org.apache.ignite.ml.dataset.primitive.builder.context that return EmptyContext

Modifier and Type	Method and Description
EmptyContext	EmptyContextBuilder.build(Iterator<UpstreamEntry<K,V>> upstreamData, long upstreamDataSize) Builds a new partition context from an upstream data.

Uses of EmptyContext in org.apache.ignite.ml.knn

Methods in org.apache.ignite.ml.knn that return types with arguments of type EmptyContext

Modifier and Type	Method and Description
static <K,V> Dataset<EmptyContext,LabeledDataset<Double,LabeledVector>>	KNNUtils.buildDataset(DatasetBuilder<K,V> datasetBuilder, IgniteBiFunction<K,V,double[]> featureExtractor, IgniteBiFunction<K,V,Double> lbExtractor) Builds dataset.

Uses of EmptyContext in org.apache.ignite.ml.knn.classification

Constructor parameters in org.apache.ignite.ml.knn.classification with type arguments of type EmptyContext

Constructor and Description
KNNClassificationModel(Dataset<EmptyContext,LabeledDataset<Double,LabeledVector>> dataset) Builds the model via prepared dataset.

Uses of EmptyContext in org.apache.ignite.ml.knn.regression

Constructor parameters in org.apache.ignite.ml.knn.regression with type arguments of type EmptyContext

Constructor and Description
KNNRegressionModel(Dataset<EmptyContext,LabeledDataset<Double,LabeledVector>> dataset) Builds the model via prepared dataset.

Uses of EmptyContext in org.apache.ignite.ml.nn

Constructor parameters in org.apache.ignite.ml.nn with type arguments of type EmptyContext

Constructor and Description
MLPTrainer(IgniteFunction<Dataset<EmptyContext,SimpleLabeledDatasetData>,MLPArchitecture> archSupplier, IgniteFunction<Vector,IgniteDifferentiableVectorToDoubleFunction> loss, UpdatesStrategy<? super MultilayerPerceptron,P> updatesStgy, int maxIterations, int batchSize, int locIterations, long seed) Constructs a new instance of multilayer perceptron trainer.

Uses of EmptyContext in org.apache.ignite.ml.tree.leaf

Method parameters in org.apache.ignite.ml.tree.leaf with type arguments of type EmptyContext

Modifier and Type	Method and Description
DecisionTreeLeafNode	DecisionTreeLeafBuilder.createLeafNode(Dataset<EmptyContext,DecisionTreeData> dataset, TreeFilter pred) Creates new leaf node for given dataset and node predicate.
DecisionTreeLeafNode	MostCommonDecisionTreeLeafBuilder.createLeafNode(Dataset<EmptyContext,DecisionTreeData> dataset, TreeFilter pred) Creates new leaf node for given dataset and node predicate.
DecisionTreeLeafNode	MeanDecisionTreeLeafBuilder.createLeafNode(Dataset<EmptyContext,DecisionTreeData> dataset, TreeFilter pred) Creates new leaf node for given dataset and node predicate.