## Uses of Class
org.apache.ignite.ml.dataset.primitive.FeatureMatrixWithLabelsOnHeapData

- Packages that use FeatureMatrixWithLabelsOnHeapData
  Package | Description
  --- | ---
  org.apache.ignite.ml.composition.boosting.convergence | Package contains implementation of convergence checking algorithms for gradient boosting.
  org.apache.ignite.ml.composition.boosting.convergence.mean | Contains implementation of convergence checking computer by mean of absolute value of errors in dataset.
  org.apache.ignite.ml.composition.boosting.convergence.median | Contains implementation of convergence checking computer by median of medians of errors in dataset.
  org.apache.ignite.ml.composition.boosting.convergence.simple | Contains implementation of Stub for convergence checking.
  org.apache.ignite.ml.dataset.primitive | Package that contains basic primitives build on top of `Dataset`.
  org.apache.ignite.ml.tree.data | Contains data and data builder required for decision tree trainers built on top of partition based dataset.

- - ### Uses of FeatureMatrixWithLabelsOnHeapData in org.apache.ignite.ml.composition.boosting.convergence

    Method parameters in org.apache.ignite.ml.composition.boosting.convergence with type arguments of type FeatureMatrixWithLabelsOnHeapData
    Modifier and Type | Method and Description
    --- | ---
    `abstract Double` | ConvergenceChecker.`computeMeanErrorOnDataset(Dataset<EmptyContext,? extends FeatureMatrixWithLabelsOnHeapData> dataset, ModelsComposition mdl)` Compute error for given model on learning dataset.
    `boolean` | ConvergenceChecker.`isConverged(Dataset<EmptyContext,? extends FeatureMatrixWithLabelsOnHeapData> dataset, ModelsComposition currMdl)` Checks convergency on dataset.

  - ### Uses of FeatureMatrixWithLabelsOnHeapData in org.apache.ignite.ml.composition.boosting.convergence.mean

    Method parameters in org.apache.ignite.ml.composition.boosting.convergence.mean with type arguments of type FeatureMatrixWithLabelsOnHeapData
    Modifier and Type | Method and Description
    --- | ---
    `Double` | MeanAbsValueConvergenceChecker.`computeMeanErrorOnDataset(Dataset<EmptyContext,? extends FeatureMatrixWithLabelsOnHeapData> dataset, ModelsComposition mdl)` Compute error for given model on learning dataset.

  - ### Uses of FeatureMatrixWithLabelsOnHeapData in org.apache.ignite.ml.composition.boosting.convergence.median

    Method parameters in org.apache.ignite.ml.composition.boosting.convergence.median with type arguments of type FeatureMatrixWithLabelsOnHeapData
    Modifier and Type | Method and Description
    --- | ---
    `Double` | MedianOfMedianConvergenceChecker.`computeMeanErrorOnDataset(Dataset<EmptyContext,? extends FeatureMatrixWithLabelsOnHeapData> dataset, ModelsComposition mdl)` Compute error for given model on learning dataset.

  - ### Uses of FeatureMatrixWithLabelsOnHeapData in org.apache.ignite.ml.composition.boosting.convergence.simple

    Method parameters in org.apache.ignite.ml.composition.boosting.convergence.simple with type arguments of type FeatureMatrixWithLabelsOnHeapData
    Modifier and Type | Method and Description
    --- | ---
    `Double` | ConvergenceCheckerStub.`computeMeanErrorOnDataset(Dataset<EmptyContext,? extends FeatureMatrixWithLabelsOnHeapData> dataset, ModelsComposition mdl)` Compute error for given model on learning dataset.
    `boolean` | ConvergenceCheckerStub.`isConverged(Dataset<EmptyContext,? extends FeatureMatrixWithLabelsOnHeapData> dataset, ModelsComposition currMdl)` Checks convergency on dataset.

  - ### Uses of FeatureMatrixWithLabelsOnHeapData in org.apache.ignite.ml.dataset.primitive

    Methods in org.apache.ignite.ml.dataset.primitive that return FeatureMatrixWithLabelsOnHeapData
    Modifier and Type | Method and Description
    --- | ---
    `FeatureMatrixWithLabelsOnHeapData` | FeatureMatrixWithLabelsOnHeapDataBuilder.`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 FeatureMatrixWithLabelsOnHeapData in org.apache.ignite.ml.tree.data

    Subclasses of FeatureMatrixWithLabelsOnHeapData in org.apache.ignite.ml.tree.data
    Modifier and Type | Class and Description
    --- | ---
    `class` | `DecisionTreeData` A partition `data` of the containing matrix of features and vector of labels stored in heap with index on features.

2020 Copyright © Apache Software Foundation
| Follow @ApacheIgnite
Ignite Database and Caching Platform | : ver. 2.9.1
Release Date | : December 9 2020