bmrm                    Bundle Methods for Regularized Risk
                        Minimization
costMatrix              Compute or check the structure of a cost matrix
epsilonInsensitiveRegressionLoss
                        The loss function to perform a
                        epsilon-insensitive regression (Vapnik et al.
                        1997)
fbetaLoss               F beta score loss function
gradient                Return or set gradient attribute
hingeLoss               Hinge Loss function for SVM
ladRegressionLoss       The loss function to perform a least absolute
                        deviation regression
lmsRegressionLoss       The loss function to perform a least mean
                        square regression
logisticRegressionLoss
                        The loss function to perform a logistic
                        regression
nrbm                    Convex and non-convex risk minimization with L2
                        regularization and limited memory
ordinalRegressionLoss   The loss function for ordinal regression
quantileRegressionLoss
                        The loss function to perform a quantile
                        regression
rocLoss                 The loss function to maximize area under the
                        ROC curve
softMarginVectorLoss    Soft Margin Vector Loss function for multiclass
                        SVM
