balanced.cv.fold        Split a dataset for Cross Validation taking
                        into account class balance
balanced.loss.weights   Compute loss.weights so that total losses of
                        each class is balanced
bhattacharyya.coefficient
                        Compute Bhattacharyya coefficient needed for
                        Hellinger distance
binaryClassificationLoss
                        Loss functions for binary classification
costMatrix              Compute or check the structure of a cost matrix
gradient                Return or set gradient attribute
hclust_fca              Find first common ancestor of 2 nodes in an
                        hclust object
hellinger.dist          Compute Hellinger distance
is.convex               Return or set is.convex attribute
iterative.hclust        Perform multiple hierachical clustering on
                        random subsets of a dataset
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
multivariateHingeLoss   The loss function for multivariate hinge loss
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
preferenceLoss          The loss function for Preference loss
print.roc.stat          Generic method overlad to print object of class
                        roc.stat
rank.linear.weights     Rank linear weight of a linear model
roc.stat                Compute statistics for ROC curve plotting
rowmean                 Columun means of a matrix based on a grouping
                        variable
softMarginVectorLoss    Soft Margin Vector Loss function for multiclass
                        SVM
softmaxLoss             softmax Loss Function
wolfe.linesearch        Wolfe Line Search
