Package edu.cmu.minorthird.classify.algorithms.trees

Interface Summary

RandomTreeLearner.TreeSplitter

Class Summary

AdaBoost	Generalized version of AdaBoost, as described in Robert E.
AdaBoost.L	AdaBoost.L is a logistic-regression version of AdaBoost.
DecisionTreeLearner	A simple decision tree learning algorithm.
FastRandomTreeLearner	Implements a fast version of the simplest RandomTree learner possible.
RandomForests	Random Forests implementation.
RandomForests.VotingClassifier	A set of RandomTree Classifiers FIXME!! All of this stuff is copied directly for AdaBoost with (very) minor modifications
RandomTreeLearner	Implement a random decision tree to be used in the random forest learner.
RandomTreeLearner.BestOfNRandomTreeSplitter
RandomTreeLearner.RandomTreeSplitter