Uses of Class
org.apache.ignite.ml.dataset.primitive.data.SimpleLabeledDatasetData

Packages that use SimpleLabeledDatasetData

Package	Description
org.apache.ignite.ml.dataset.primitive	Package that contains basic primitives build on top of Dataset.
org.apache.ignite.ml.dataset.primitive.builder.data	Contains partition data builders.
org.apache.ignite.ml.math.isolve.lsqr	Contains LSQR algorithm implementation.
org.apache.ignite.ml.nn	Contains neural networks and related classes.

Uses of SimpleLabeledDatasetData in org.apache.ignite.ml.dataset.primitive

Constructor parameters in org.apache.ignite.ml.dataset.primitive with type arguments of type SimpleLabeledDatasetData

Constructor and Description
SimpleLabeledDataset(Dataset<C,SimpleLabeledDatasetData> delegate) Creates a new instance of simple labeled dataset that introduces additional methods based on a matrix of features and labels vector.

Uses of SimpleLabeledDatasetData in org.apache.ignite.ml.dataset.primitive.builder.data

Methods in org.apache.ignite.ml.dataset.primitive.builder.data that return SimpleLabeledDatasetData

Modifier and Type	Method and Description
SimpleLabeledDatasetData	SimpleLabeledDatasetDataBuilder.build(Iterator<UpstreamEntry<K,V>> upstreamData, long upstreamDataSize, C ctx) Builds a new partition data from a partition upstream data and partition context

Uses of SimpleLabeledDatasetData in org.apache.ignite.ml.math.isolve.lsqr

Constructor parameters in org.apache.ignite.ml.math.isolve.lsqr with type arguments of type SimpleLabeledDatasetData

Constructor and Description
LSQROnHeap(DatasetBuilder<K,V> datasetBuilder, PartitionDataBuilder<K,V,LSQRPartitionContext,SimpleLabeledDatasetData> partDataBuilder) Constructs a new instance of OnHeap LSQR algorithm implementation.

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

Methods in org.apache.ignite.ml.nn that return types with arguments of type SimpleLabeledDatasetData

Modifier and Type	Method and Description
IgniteFunction<Dataset<EmptyContext,SimpleLabeledDatasetData>,MLPArchitecture>	MLPTrainer.getArchSupplier() Get the multilayer perceptron architecture supplier that defines layers and activators.

Method parameters in org.apache.ignite.ml.nn with type arguments of type SimpleLabeledDatasetData

Modifier and Type	Method and Description
MLPTrainer<P>	MLPTrainer.withArchSupplier(IgniteFunction<Dataset<EmptyContext,SimpleLabeledDatasetData>,MLPArchitecture> archSupplier) Set up the multilayer perceptron architecture supplier that defines layers and activators.

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

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.