Man pages for bst
Gradient Boosting
| bfunc | Compute upper bound of second derivative of loss |
| bst | Boosting for Classification and Regression |
| bst_control | Control Parameters for Boosting |
| bst-internal | Internal Function |
| bst.sel | Function to select number of predictors |
| cv.bst | Cross-Validation for Boosting |
| cv.mada | Cross-Validation for one-vs-all AdaBoost with multi-class... |
| cv.mbst | Cross-Validation for Multi-class Boosting |
| cv.mhingebst | Cross-Validation for Multi-class Hinge Boosting |
| cv.mhingeova | Cross-Validation for one-vs-all HingeBoost with multi-class... |
| cv.rbst | Cross-Validation for Nonconvex Loss Boosting |
| cv.rmbst | Cross-Validation for Nonconvex Multi-class Loss Boosting |
| evalerr | Compute prediction errors |
| ex1data | Generating Three-class Data with 50 Predictors |
| mada | Multi-class AdaBoost |
| mbst | Boosting for Multi-Classification |
| mhingebst | Boosting for Multi-class Classification |
| mhingeova | Multi-class HingeBoost |
| nsel.mhingebst | Find Number of Variables In Multi-class Boosting Iterations |
| rbst | Robust Boosting for Robust Loss Functions |
| rbstpath | Robust Boosting Path for Nonconvex Loss Functions |
| rmbst | Robust Boosting for Multi-class Robust Loss Functions |
