balanced.cv.fold	balanced.cv.fold
binaryClassificationLoss	binaryClassificationLoss
costMatrix	costMatrix
epsilonInsensitiveRegressionLoss	linearRegressionLoss
fbetaLoss	binaryClassificationLoss
gradient	gradient
gradient.default	gradient
gradient<-	gradient
gradient<-.default	gradient
hingeLoss	binaryClassificationLoss
is.convex	is.convex
is.convex.default	is.convex
is.convex<-	is.convex
is.convex<-.default	is.convex
ladRegressionLoss	linearRegressionLoss
linearRegressionLoss	linearRegressionLoss
lmsRegressionLoss	linearRegressionLoss
logisticLoss	binaryClassificationLoss
lpSVM	lpSVM
lvalue	lvalue
lvalue.default	lvalue
lvalue<-	lvalue
lvalue<-.default	lvalue
mmc	mmc
mmcLoss	mmcLoss
nrbm	nrbm
nrbmL1	nrbm
ontologyLoss	ontologyLoss
ordinalRegressionLoss	ordinalRegressionLoss
predict.mmc	predict.mmc
predict.svmLP	lpSVM
predict.svmMLP	lpSVM
quantileRegressionLoss	linearRegressionLoss
roc.stat	roc.stat
rocLoss	binaryClassificationLoss
softMarginVectorLoss	softMarginVectorLoss
svmLP	lpSVM
svmMulticlassLP	lpSVM
tsvmLoss	tsvmLoss
wolfe.linesearch	wolfe.linesearch
