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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 |
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| RandomTreeLearner.RandomTreeSplitter |
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