Man pages for gboris/drat
Big Random Forests: Classification and Regression Forests for Large Data Sets
| bigcforest-class | Classification Random Forests |
| bigcprediction.class | Random Forest Predictions |
| bigctree-class | Classification Trees in Random Forests |
| bigrfc | Build a Classification Random Forest Model |
| bigrf-package | Big Random Forests: Classification and Regression Forests for... |
| bigrfprox-class | Proximity Matrices |
| fastimp-methods | Compute Fast (Gini) Variable Importance |
| generateSyntheticClass | Generate Synthetic Second Class for Unsupervised Learning |
| grow-methods | Grow More Trees in a Random Forest |
| interactions-methods | Compute Variable Interactions |
| merge-methods | Merge Two Random Forests |
| outliers-methods | Compute Outlier Scores |
| predict-methods | Predict Classes of Test Examples |
| prototypes-methods | Compute Class Prototypes |
| proximities-methods | Compute Proximity Matrix |
| scaling-methods | Compute Metric Scaling Co-ordinates |
| varimp-methods | Compute Variable Importance |
