Uses of Package
jsat.classifiers.trees

Packages that use jsat.classifiers.trees

Package	Description
jsat.classifiers.trees

Classes in jsat.classifiers.trees used by jsat.classifiers.trees

Class and Description
DecisionStump This class is a 1-rule.
DecisionTree Creates a decision tree from DecisionStumps.
DecisionTree.Node
ERTrees Extra Randomized Trees (ERTrees) is an ensemble method built on top of ExtraTree.
ExtraTree The ExtraTree is an Extremely Randomized Tree.
ImpurityScore ImpurityScore provides a measure of the impurity of a set of data points respective to their class labels.
ImpurityScore.ImpurityMeasure Different methods of measuring the impurity in a set of data points based on nominal class labels
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.
RandomForest Random Forest is an extension of Bagging that is applied only to DecisionTrees.
TreeFeatureImportanceInference This interface exists for implementing the importance of features from tree based models.
TreeLearner This interface provides a contract that allows for the mutation and pruning of a tree using the TreeNodeVisitor and related classes.
TreeNodeVisitor Provides an abstracted mechanism for traversing and predicting from nodes in a tree meant for a supervised learning problem.
TreePruner.PruningMethod The method of pruning to use