Gradient Boosting


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Documentation for package ‘bst’ version 0.3-14

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bst-package Boosting for Classification and Regression
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 Truncated Loss Boosting
cv.rmbst Cross-Validation for Truncated 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 Truncated Loss Functions
rmbst Robust Boosting for Multi-class Robust Loss Functions