bst-package | Boosting for Classification and Regression |
balanced.folds | Internal Function |
bst | Boosting for Classification and Regression |
bst_control | Control Parameters for Boosting |
coef.bst | Boosting for Classification and Regression |
cv.bst | Cross-Validation for Binary HingeBoost |
cv.mada | Cross-Validation for one-vs-all AdaBoost with multi-class problem |
cv.mhingebst | Cross-Validation for Multi-class Hinge Boosting |
cv.mhingeova | Cross-Validation for one-vs-all HingeBoost with multi-class problem |
cvfolds | Internal Function |
error.bars | Internal Function |
ex1data | Generating Three-class Data |
fpartial.bst | Boosting for Classification and Regression |
fpartial.mhingebst | Boosting for Multi-class Classification |
gaussloss | Internal Function |
gaussngra | Internal Function |
hingeloss | Internal Function |
hingengra | Internal Function |
loss | Internal Function |
loss.mhingebst | Internal Function |
mada | Multi-class AdaBoost |
mhingebst | Boosting for Multi-class Classification |
mhingebst_fit | Internal Function |
mhingeova | Multi-class HingeBoost |
ngradient | Internal Function |
permute.rows | Internal Function |
plot.bst | Boosting for Classification and Regression |
plotCVbst | Internal Function |
predict.bst | Boosting for Classification and Regression |
predict.mhingebst | Boosting for Multi-class Classification |
print.bst | Boosting for Classification and Regression |
print.mhingebst | Boosting for Multi-class Classification |
print.mhingeova | Multi-class HingeBoost |