Man pages for bmrm
Bundle Methods for Regularized Risk Minimization Package

balanced.cv.foldSplit a dataset for Cross Validation taking into account...
binaryClassificationLossLoss functions for binary classification
costMatrixCompute or check the structure of a cost matrix
gradientReturn or set gradient attribute
is.convexReturn or set is.convex attribute
linearRegressionLossLoss functions to perform a regression
lpSVMLinearly Programmed SVM
lvalueReturn or set lvalue attribute
mmcConvenient wrapper function to solve max-margin clustering...
mmcLossLoss function for max-margin clustering
nrbmConvex and non-convex risk minimization with L2...
ontologyLossOntology Loss Function
ordinalRegressionLossThe loss function for ordinal regression
predict.mmcPredict class of new instances according to a mmc model
roc.statCompute statistics for ROC curve plotting
softMarginVectorLossSoft Margin Vector Loss function for multiclass SVM
tsvmLossNon convex loss function for transductive SVM
wolfe.linesearchWolfe Line Search
bmrm documentation built on Aug. 17, 2017, 1:02 a.m.