balanced.cv.fold        Split a dataset for Cross Validation taking
                        into account class balance
binaryClassificationLoss
                        Loss functions for binary classification
costMatrix              Compute or check the structure of a cost matrix
gradient                Return or set gradient attribute
is.convex               Return or set is.convex attribute
linearRegressionLoss    Loss functions to perform a regression
lpSVM                   Linearly Programmed SVM
lvalue                  Return or set lvalue attribute
mmc                     Convenient wrapper function to solve max-margin
                        clustering problem on a dataset
mmcLoss                 Loss function for max-margin clustering
nrbm                    Convex and non-convex risk minimization with L2
                        regularization and limited memory
ontologyLoss            Ontology Loss Function
ordinalRegressionLoss   The loss function for ordinal regression
predict.mmc             Predict class of new instances according to a
                        mmc model
roc.stat                Compute statistics for ROC curve plotting
softMarginVectorLoss    Soft Margin Vector Loss function for multiclass
                        SVM
tsvmLoss                Non convex loss function for transductive SVM
wolfe.linesearch        Wolfe Line Search
