Man pages for ODRF
Oblique Decision Random Forest for Classification and Regression
| Accuracy | accuracy of oblique decision random forest |
| as.party.ODT | 'ODT' as 'party' |
| best.cut.node | find best splitting variable and node |
| body_fat | Body Fat Prediction Dataset |
| breast_cancer | Breast Cancer Dataset |
| defaults | Default values passed to RotMat* |
| ODRF | Classification and Regression using Oblique Decision Random... |
| ODT | Classification and Regression with Oblique Decision Tree |
| online | online structure learning for class 'ODT' and 'ODRF'. |
| online.ODRF | using new training data to update an existing 'ODRF'. |
| online.ODT | using new training data to update an existing 'ODT'. |
| pipe | Pipe operator |
| plot.Accuracy | plot method for 'Accuracy' objects |
| plot.ODT | to plot an oblique decision tree |
| plot_ODT_depth | plot oblique decision tree depth |
| plot.prune.ODT | to plot pruned oblique decision tree |
| plot.VarImp | Variable Importance Plot |
| PPO | Projection Pursuit Optimization |
| predict.ODRF | predict based on an ODRF object |
| predict.ODT | making predict based on ODT objects |
| print.ODRF | print ODRF |
| print.ODT | print ODT result |
| prune | prune 'ODT' or 'ODRF' |
| prune.ODRF | Pruning of class 'ODRF'. |
| prune.ODT | pruning of class 'ODT' |
| RandRot | Samples a p x p uniformly random rotation matrix |
| RotMatMake | Create rotation matrix used to determine the linear... |
| RotMatPPO | Create a Projection Matrix: RotMatPPO |
| RotMatRand | Random Rotation Matrix |
| RotMatRF | Create a Projection Matrix: Random Forest (RF) |
| seeds | seeds Data Set |
| VarImp | Extract variable importance measure |
