Uses of Interface
jsat.classifiers.trees.TreeLearner

Packages that use TreeLearner

Package	Description
jsat.classifiers.trees

Uses of TreeLearner in jsat.classifiers.trees

Classes in jsat.classifiers.trees that implement TreeLearner

Modifier and Type	Class and Description
class	DecisionTree Creates a decision tree from DecisionStumps.
class	ERTrees Extra Randomized Trees (ERTrees) is an ensemble method built on top of ExtraTree.
class	ExtraTree The ExtraTree is an Extremely Randomized Tree.
class	RandomDecisionTree An extension of Decision Trees, it ignores the given set of features to use- and selects a new random subset of features at each node for use.

Methods in jsat.classifiers.trees with parameters of type TreeLearner

Modifier and Type	Method and Description
<Type extends DataSet> double[]	TreeFeatureImportanceInference.getImportanceStats(TreeLearner model, DataSet<Type> data)
<Type extends DataSet> double[]	MDI.getImportanceStats(TreeLearner model, DataSet<Type> data)
<Type extends DataSet> double[]	MDA.getImportanceStats(TreeLearner model, DataSet<Type> data)
<Type extends DataSet> double[]	ImportanceByUses.getImportanceStats(TreeLearner model, DataSet<Type> data)