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.mhinge | Cross-Validation for one-vs-all HingeBoost with multi-class problem |
cv.msvm | Cross-Validation |
cvfolds | Internal Function |
error.bars | Internal Function |
ex1data | Generating Three-class Data |
fpartial.bst | Boosting for Classification and Regression |
fpartial.msvm | Boosting for Multi-class Classification |
gaussloss | Internal Function |
gaussngra | Internal Function |
hingeloss | Internal Function |
hingengra | Internal Function |
loss | Internal Function |
loss.msvm | Internal Function |
mada | Multi-class AdaBoost |
mhinge | Multi-class HingeBoost |
msvm | Boosting for Multi-class Classification |
msvm_fit | Internal Function |
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.msvm | Boosting for Multi-class Classification |
print.bst | Boosting for Classification and Regression |
print.mhinge | Multi-class HingeBoost |
print.msvm | Boosting for Multi-class Classification |