API for bmrm
Bundle Methods for Regularized Risk Minimization Package

Global functions
balanced.cv.fold Man page
balanced.loss.weights Man page
bhattacharyya.coefficient Man page
binaryClassificationLoss Man page
costMatrix Man page
epsilonInsensitiveRegressionLoss Man page
fbetaLoss Man page
gradient Man page
gradient.default Man page
gradient<- Man page
gradient<-.default Man page
hclust_fca Man page
hellinger.dist Man page
hingeLoss Man page
is.convex Man page
is.convex.default Man page
is.convex<- Man page
is.convex<-.default Man page
iterative.hclust Man page
ladRegressionLoss Man page
linearRegressionLoss Man page
lmsRegressionLoss Man page
logisticLoss Man page
lpSVM Man page
lvalue Man page
lvalue.default Man page
lvalue<- Man page
lvalue<-.default Man page
mmc Man page
mmcLoss Man page
multivariateHingeLoss Man page
nrbm Man page
nrbmL1 Man page
ontologyLoss Man page
ordinalRegressionLoss Man page
predict.mmc Man page
predict.svmLP Man page
predict.svmMLP Man page
preferenceLoss Man page
print.roc.stat Man page
quantileRegressionLoss Man page
rank.linear.weights Man page
roc.stat Man page
rocLoss Man page
rowmean Man page
softMarginVectorLoss Man page
softmaxLoss Man page
svmLP Man page
svmMulticlassLP Man page
wolfe.linesearch Man page
bmrm documentation built on May 2, 2019, 2:49 p.m.