API for trim
Tree methods for classification of imbalanced data
| Global functions | |
|---|---|
| Distribution-class | Man page |
| WeightedVariable.categorical-class | Man page |
| aggregation.rule.information.gain | Source code |
| aggregation.rule.maximum | Source code |
| aggregation.rule.minimum | Source code |
| aggregation.rule.weighted.mean | Source code |
| decision.rule.majority | Source code |
| decision.rule.married | Source code |
| decision.rule.minority | Source code |
| distribution | Man page |
| distribution,WeightedVariable.categorical-method | Man page |
| distribution,character-method | Man page |
| distribution,factor-method | Man page |
| distribution,numeric-method | Man page |
| distribution-methods | Man page |
| distribution.comparable | Man page Source code |
| distribution.reorder | Man page Source code |
| entropy.Shannon | Source code |
| entropy.marcellin.gain | Source code |
| entropy.shannon.gain | Source code |
| expand.array | Source code |
| findsplit | Source code |
| findsplit.shannon | Source code |
| floatprint | Source code |
| growtree | Source code |
| growtree.shannon | Source code |
| implication.index | Man page Source code |
| implication.index.gain | Man page Source code |
| p.estimator.laplace | Man page Source code |
| print,Distribution-method | Man page |
| print,WeightedVariable.categorical-method | Man page |
| qvar.breaks.quantile | Source code |
| show,Distribution-method | Man page |
| show,WeightedVariable.categorical-method | Man page |
| tree.learn.shannon | Source code |
| tree.learn.ttest | Source code |
| trim | Man page |
| trim-package | Man page |
| wv.infos | Source code |
| wv.variable | Source code |
| wv.weights | Source code |
| wvc | Man page |
| wvc-methods | Man page |
