org.apache.ignite.ml.tree

Class DecisionTreeRegressionTrainer

java.lang.Object

org.apache.ignite.ml.trainers.DatasetTrainer<M,Double>

org.apache.ignite.ml.trainers.SingleLabelDatasetTrainer<DecisionTreeNode>

org.apache.ignite.ml.tree.DecisionTree<MSEImpurityMeasure>

org.apache.ignite.ml.tree.DecisionTreeRegressionTrainer

public class DecisionTreeRegressionTrainer
extends DecisionTree<MSEImpurityMeasure>

Decision tree regressor based on distributed decision tree trainer that allows to fit trees using row-partitioned dataset.

Nested Class Summary

Nested classes/interfaces inherited from class org.apache.ignite.ml.trainers.DatasetTrainer

DatasetTrainer.EmptyDatasetException

Field Summary

Fields inherited from class org.apache.ignite.ml.tree.DecisionTree

usingIdx

Fields inherited from class org.apache.ignite.ml.trainers.DatasetTrainer

envBuilder, environment

Constructor Summary

Constructors

Constructor and Description
DecisionTreeRegressionTrainer(int maxDeep, double minImpurityDecrease) Constructs a new decision tree regressor with default impurity function compressor.
DecisionTreeRegressionTrainer(int maxDeep, double minImpurityDecrease, StepFunctionCompressor<MSEImpurityMeasure> compressor) Constructs a new decision tree regressor.

Method Summary

Modifier and Type	Method and Description
protected ImpurityMeasureCalculator<MSEImpurityMeasure>	getImpurityMeasureCalculator(Dataset<EmptyContext,DecisionTreeData> dataset) Returns impurity measure calculator.
DecisionTreeRegressionTrainer	withEnvironmentBuilder(LearningEnvironmentBuilder envBuilder) Changes learning Environment.
DecisionTreeRegressionTrainer	withUsingIdx(boolean usingIdx) Sets usingIdx parameter and returns trainer instance.

Methods inherited from class org.apache.ignite.ml.tree.DecisionTree

fit, fitWithInitializedDeployingContext, isUpdateable, printTree, updateModel

Methods inherited from class org.apache.ignite.ml.trainers.DatasetTrainer

fit, fit, fit, fit, fit, fit, getLastTrainedModelOrThrowEmptyDatasetException, identityTrainer, learningEnvironment, update, update, update, update, update, withConvertedLabels

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

DecisionTreeRegressionTrainer

public DecisionTreeRegressionTrainer(int maxDeep,
                                     double minImpurityDecrease)

Constructs a new decision tree regressor with default impurity function compressor.

Parameters:

maxDeep - Max tree deep.

minImpurityDecrease - Min impurity decrease.

DecisionTreeRegressionTrainer

public DecisionTreeRegressionTrainer(int maxDeep,
                                     double minImpurityDecrease,
                                     StepFunctionCompressor<MSEImpurityMeasure> compressor)

Constructs a new decision tree regressor.

Parameters:

maxDeep - Max tree deep.

minImpurityDecrease - Min impurity decrease.

Method Detail

withUsingIdx

public DecisionTreeRegressionTrainer withUsingIdx(boolean usingIdx)

Sets usingIdx parameter and returns trainer instance.

Parameters:

usingIdx - Use index.

Returns:

Decision tree trainer.

getImpurityMeasureCalculator

protected ImpurityMeasureCalculator<MSEImpurityMeasure> getImpurityMeasureCalculator(Dataset<EmptyContext,DecisionTreeData> dataset)

Returns impurity measure calculator.

Specified by:

getImpurityMeasureCalculator in class DecisionTree<MSEImpurityMeasure>

Parameters:

dataset - Dataset.

Returns:

Impurity measure calculator.

withEnvironmentBuilder

public DecisionTreeRegressionTrainer withEnvironmentBuilder(LearningEnvironmentBuilder envBuilder)

Changes learning Environment.

Overrides:

withEnvironmentBuilder in class DecisionTree<MSEImpurityMeasure>

Parameters:

envBuilder - Learning environment builder.