Learning Programs
Detailed Description
Learning programs that are included with VFML.
Files | |
| file | bnlearn |
| Learns the structure of a BeliefNet from a data set. Designed to be easily modified. | |
| file | c45wrapper |
| Calls C4.5 and tests the learned tree. | |
| file | c50wrapper |
| Calls C5.0 and tests the learned tree. | |
| file | cvfdt |
| Learns a DecisionTree from a high-speed time-changing data stream (or very large data set). | |
| file | decisionstump |
| Learns a decision stump (a DecisionTree with only one split). | |
| file | kmeans |
| Performs k-means clustering. | |
| file | mostcommonclass |
| Predicts the most common class in the training data. | |
| file | naivebayes |
| A Naive Bayes learner. | |
| file | vfbn1 |
| Learns the structure of a BeliefNet from a very large data set using sampling. | |
| file | vfbn2 |
| Learns the structure of a BeliefNet from a very large data set using sampling and a new search proceedure. | |
| file | vfdt |
| Learns a decision tree from a high-speed data stream or very large data set. | |
| file | vfem |
| Performs EM clustering. | |
| file | vfkm |
| Performs k-means clustering accelerated with sampling. | |
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