## 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(LearningEnvironment env, 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, LearningEnvironmentBuilder envBuilder, PartitionDataBuilder<K,V,LSQRPartitionContext,SimpleLabeledDatasetData> partDataBuilder, LearningEnvironment localLearningEnv)` 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.

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Release Date | : January 10 2022