Uses of Class
org.tribuo.regression.rtree.impurity.RegressorImpurity.ImpurityTuple

Packages that use RegressorImpurity.ImpurityTuple

Package	Description
org.tribuo.regression.rtree.impurity	Provides implementations of regression tree impurity metrics.

Uses of RegressorImpurity.ImpurityTuple in org.tribuo.regression.rtree.impurity

Methods in org.tribuo.regression.rtree.impurity that return RegressorImpurity.ImpurityTuple

Modifier and Type	Method	Description
RegressorImpurity.ImpurityTuple	MeanAbsoluteError.impurityTuple(int[] indices, int indicesLength, float[] targets, float[] weights)
RegressorImpurity.ImpurityTuple	MeanAbsoluteError.impurityTuple(List<int[]> indices, float[] targets, float[] weights)
RegressorImpurity.ImpurityTuple	MeanSquaredError.impurityTuple(int[] indices, int indicesLength, float[] targets, float[] weights)
RegressorImpurity.ImpurityTuple	MeanSquaredError.impurityTuple(List<int[]> indices, float[] targets, float[] weights)
RegressorImpurity.ImpurityTuple	RegressorImpurity.impurityTuple(int[] indices, int indicesLength, float[] targets, float[] weights)	Calculates the weighted impurity of the targets specified in the indices array.
RegressorImpurity.ImpurityTuple	RegressorImpurity.impurityTuple(List<int[]> indices, float[] targets, float[] weights)	Calculates the weighted impurity of the targets specified in all the indices arrays.