| ml_lib.dataset.AttributeDescriptor | |
| ml_lib.dataset.Dataset | |
| ml_lib.random_forest.DecisionTree | Basic DecisionTree that the random forest is based on |
| ml_lib.dimreduce.LinearDimReduceDataset | Dataset which performs linear dimensionality reduction |
| ml_lib.random_forest.RFBase | Base class for random forest classifier |
| ml_lib.random_forest.RFBreiman | Train a random forest using DecisionTrees on bootstrap samples using splits on random attributes and random values on those attributes |
| ml_lib.random_forest.RFRandomInputSubset | Train a random forest using DecisionTrees on bootstrap samples where each sample has a random subset of dimensions but the split point is performed using a minimum entropy criteria |