Uses of Class
org.apache.ignite.ml.tree.data.DecisionTreeData

Packages that use DecisionTreeData

Package	Description
org.apache.ignite.ml.tree	Root package for decision trees.
org.apache.ignite.ml.tree.data	Contains data and data builder required for decision tree trainers built on top of partition based dataset.
org.apache.ignite.ml.tree.impurity	Root package for decision tree impurity measures and calculators.
org.apache.ignite.ml.tree.impurity.gini	Contains Gini impurity measure and calculator.
org.apache.ignite.ml.tree.impurity.mse	Contains mean squared error impurity measure and calculator.
org.apache.ignite.ml.tree.leaf	Root package for decision trees leaf builders.

Uses of DecisionTreeData in org.apache.ignite.ml.tree

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

Modifier and Type	Method and Description
<K,V> DecisionTreeNode	DecisionTree.fit(Dataset<EmptyContext,DecisionTreeData> dataset)
protected abstract ImpurityMeasureCalculator<T>	DecisionTree.getImpurityMeasureCalculator(Dataset<EmptyContext,DecisionTreeData> dataset) Returns impurity measure calculator.
protected ImpurityMeasureCalculator<GiniImpurityMeasure>	DecisionTreeClassificationTrainer.getImpurityMeasureCalculator(Dataset<EmptyContext,DecisionTreeData> dataset) Returns impurity measure calculator.
protected ImpurityMeasureCalculator<MSEImpurityMeasure>	DecisionTreeRegressionTrainer.getImpurityMeasureCalculator(Dataset<EmptyContext,DecisionTreeData> dataset) Returns impurity measure calculator.

Uses of DecisionTreeData in org.apache.ignite.ml.tree.data

Methods in org.apache.ignite.ml.tree.data that return DecisionTreeData

Modifier and Type	Method and Description
DecisionTreeData	DecisionTreeDataBuilder.build(LearningEnvironment envBuilder, Iterator<UpstreamEntry<K,V>> upstreamData, long upstreamDataSize, C ctx) Builds a new partition data from a partition upstream data and partition context.
DecisionTreeData	DecisionTreeData.filter(TreeFilter filter) Filters objects and returns only data that passed filter.

Uses of DecisionTreeData in org.apache.ignite.ml.tree.impurity

Methods in org.apache.ignite.ml.tree.impurity with parameters of type DecisionTreeData

Modifier and Type	Method and Description
abstract StepFunction<T>[]	ImpurityMeasureCalculator.calculate(DecisionTreeData data, TreeFilter filter, int depth) Calculates all impurity measures required required to find a best split and returns them as an array of StepFunction (for every column).
protected int	ImpurityMeasureCalculator.columnsCount(DecisionTreeData data, TreeDataIndex idx) Returns columns count in current dataset.
protected double	ImpurityMeasureCalculator.getFeatureValue(DecisionTreeData data, TreeDataIndex idx, int featureId, int k) Returns feature value in according to kth order statistic.
protected Vector	ImpurityMeasureCalculator.getFeatureValues(DecisionTreeData data, TreeDataIndex idx, int featureId, int k) Returns feature value in according to kth order statistic.
protected double	ImpurityMeasureCalculator.getLabelValue(DecisionTreeData data, TreeDataIndex idx, int featureId, int k) Returns label value in according to kth order statistic.
protected int	ImpurityMeasureCalculator.rowsCount(DecisionTreeData data, TreeDataIndex idx) Returns rows count in current dataset.

Uses of DecisionTreeData in org.apache.ignite.ml.tree.impurity.gini

Methods in org.apache.ignite.ml.tree.impurity.gini with parameters of type DecisionTreeData

Modifier and Type	Method and Description
StepFunction<GiniImpurityMeasure>[]	GiniImpurityMeasureCalculator.calculate(DecisionTreeData data, TreeFilter filter, int depth) Calculates all impurity measures required required to find a best split and returns them as an array of StepFunction (for every column).

Uses of DecisionTreeData in org.apache.ignite.ml.tree.impurity.mse

Methods in org.apache.ignite.ml.tree.impurity.mse with parameters of type DecisionTreeData

Modifier and Type	Method and Description
StepFunction<MSEImpurityMeasure>[]	MSEImpurityMeasureCalculator.calculate(DecisionTreeData data, TreeFilter filter, int depth) Calculates all impurity measures required required to find a best split and returns them as an array of StepFunction (for every column).

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

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

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