# Gradient Boosting

## Documentation for package ‘bst’ version 0.3-17

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

balanced.folds | Internal Function
bfunc | Compute upper bound of second derivative of loss
bst | Boosting for Classification and Regression
bst.sel | Function to select number of predictors
bst_control | Control Parameters for Boosting
coef.bst | Boosting for Classification and Regression
cv.bst | Cross-Validation for Boosting
cv.mada | Cross-Validation for one-vs-all AdaBoost with multi-class problem
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 problem
cv.rbst | Cross-Validation for Nonconvex Loss Boosting
cv.rmbst | Cross-Validation for Nonconvex Multi-class Loss Boosting
cvfolds | Internal Function
error.bars | Internal Function
evalerr | Compute prediction errors
ex1data | Generating Three-class Data with 50 Predictors
fpartial.bst | Boosting for Classification and Regression
fpartial.mbst | Boosting for Multi-Classification
fpartial.mhingebst | Boosting for Multi-class Classification
gaussloss | Internal Function
gaussngra | Internal Function
gradient | Internal Function
hingeloss | Internal Function
hingengra | Internal Function
loss | Internal Function
loss.mbst | Internal Function
loss.mhingebst | Internal Function
mada | Multi-class AdaBoost
mbst | Boosting for Multi-Classification
mbst_fit | Internal Function
mhingebst | Boosting for Multi-class Classification
mhingebst_fit | Internal Function
mhingeova | Multi-class HingeBoost
ngradient | Internal Function
nsel | Find Number of Variables In Multi-class Boosting Iterations
permute.rows | Internal Function
plot.bst | Boosting for Classification and Regression
plotCVbst | Internal Function
predict.bst | Boosting for Classification and Regression
predict.mbst | Boosting for Multi-Classification
predict.mhingebst | Boosting for Multi-class Classification
print.bst | Boosting for Classification and Regression
print.mbst | Boosting for Multi-Classification
print.mhingebst | Boosting for Multi-class Classification
print.mhingeova | Multi-class HingeBoost
rbst | Robust Boosting for Robust Loss Functions
rbstpath | Robust Boosting Path for Nonconvex Loss Functions
rmbst | Robust Boosting for Multi-class Robust Loss Functions