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 convergency 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.