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Files |
| file | bnlearn |
| | Learns the structure of a BeliefNet from a data set. Designed to be easily modified.
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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 | kmeans |
| | Performs k-means clustering.
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| file | mostcommonclass |
| | Predicts the most common class in the training data.
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| file | naivebayes |
| | A Naive Bayes learner.
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| file | vfbn1 |
| | Learns the structure of a BeliefNet from a very large data set using sampling.
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| file | vfbn2 |
| | Learns the structure of a BeliefNet from a very large data set using sampling and a new search proceedure.
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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 | vfem |
| | Performs EM clustering.
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| file | vfkm |
| | Performs k-means clustering accelerated with sampling.
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