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Files |
| file | AttributeTracker.h |
| | Keep a record of which attributes are active.
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| file | C45interface.h |
| | Calls the C4.5 decision tree learning system and returns the learned tree.
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| file | c45wrapper |
| | Calls C4.5 and tests the learned tree.
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| file | c50wrapper |
| | Calls C5.0 and tests the learned tree.
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| file | cvfdt |
| | Learns a DecisionTree from a high-speed time-changing data stream (or very large data set).
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| file | decisionstump |
| | Learns a decision stump (a DecisionTree with only one split).
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| file | DecisionTree.h |
| | A Decision Tree Structure.
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| file | Example.h |
| | ADT for training (and testing, etc.) data.
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| file | ExampleGroupStats.h |
| | Sufficient statistics for Entropy and Gini.
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| file | ExampleSpec.h |
| | Schema for training data.
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| file | REPrune.h |
| | Peforms reduced error pruning on a decision tree.
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| file | treedata |
| | Creates a synthetic data set by sampling from a randomly generated DecisionTree.
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| file | vfdt |
| | Learns a decision tree from a high-speed data stream or very large data set.
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| file | vfdt-engine.h |
| | An API which lets your program learn a DecisionTree from a high-speed data stream.
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