Uses of Interface
org.tribuo.regression.rtree.impurity.RegressorImpurity

Packages that use RegressorImpurity

Package	Description
org.tribuo.regression.rtree	Provides an implementation of decision trees for regression problems.
org.tribuo.regression.rtree.impl	Provides internal implementation classes for the regression trees.
org.tribuo.regression.rtree.impurity	Provides implementations of regression tree impurity metrics.

Uses of RegressorImpurity in org.tribuo.regression.rtree

Constructors in org.tribuo.regression.rtree with parameters of type RegressorImpurity

Modifier	Constructor	Description
	CARTJointRegressionTrainer(int maxDepth, float minChildWeight, float fractionFeaturesInSplit, RegressorImpurity impurity, boolean normalize, long seed)	Creates a CART Trainer.
	CARTRegressionTrainer(int maxDepth, float minChildWeight, float fractionFeaturesInSplit, RegressorImpurity impurity, long seed)	Creates a CART Trainer.

Uses of RegressorImpurity in org.tribuo.regression.rtree.impl

Constructors in org.tribuo.regression.rtree.impl with parameters of type RegressorImpurity

Modifier	Constructor	Description
	JointRegressorTrainingNode(RegressorImpurity impurity, Dataset<Regressor> examples, boolean normalize)	Constructor which creates the inverted file.
	RegressorTrainingNode(RegressorImpurity impurity, RegressorTrainingNode.InvertedData tuple, int dimIndex, String dimName, int numExamples, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<Regressor> outputInfo)

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

Classes in org.tribuo.regression.rtree.impurity that implement RegressorImpurity

Modifier and Type	Class	Description
class	MeanAbsoluteError	Measures the mean absolute error over a set of inputs.
class	MeanSquaredError	Measures the mean squared error over a set of inputs.