| AbstractLoss() | shark::AbstractLoss< LabelT, OutputT > | inline | 
  | BatchLabelType typedef | shark::SquaredLoss< OutputType, LabelType > |  | 
  | BatchOutputType typedef | shark::SquaredLoss< OutputType, LabelType > |  | 
  | ConstLabelReference typedef | shark::AbstractLoss< LabelT, OutputT > |  | 
  | ConstOutputReference typedef | shark::AbstractLoss< LabelT, OutputT > |  | 
  | eval(BatchLabelType const &labels, BatchOutputType const &predictions) const | shark::SquaredLoss< OutputType, LabelType > | inlinevirtual | 
  | eval(BatchLabelType const &target, BatchOutputType const &prediction) const=0 | shark::SquaredLoss< OutputType, LabelType > | virtual | 
  | eval(ConstLabelReference target, ConstOutputReference prediction) const | shark::SquaredLoss< OutputType, LabelType > | inlinevirtual | 
  | eval(Data< LabelType > const &targets, Data< OutputType > const &predictions) const | shark::SquaredLoss< OutputType, LabelType > | inlinevirtual | 
  | evalDerivative(BatchLabelType const &label, BatchOutputType const &prediction, BatchOutputType &gradient) const | shark::SquaredLoss< OutputType, LabelType > | inlinevirtual | 
  | shark::AbstractLoss::evalDerivative(ConstLabelReference target, ConstOutputReference prediction, OutputType &gradient) const | shark::AbstractLoss< LabelT, OutputT > | inlinevirtual | 
  | shark::AbstractLoss::evalDerivative(ConstLabelReference target, ConstOutputReference prediction, OutputType &gradient, MatrixType &hessian) const | shark::AbstractLoss< LabelT, OutputT > | inlinevirtual | 
  | Feature enum name | shark::AbstractCost< LabelT, OutputT > |  | 
  | FeatureNotAvailableException typedef | shark::AbstractCost< LabelT, OutputT > |  | 
  | Features typedef | shark::AbstractCost< LabelT, OutputT > |  | 
  | features() const | shark::AbstractCost< LabelT, OutputT > | inline | 
  | HAS_FIRST_DERIVATIVE enum value | shark::AbstractCost< LabelT, OutputT > |  | 
  | HAS_SECOND_DERIVATIVE enum value | shark::AbstractCost< LabelT, OutputT > |  | 
  | hasFirstDerivative() const | shark::AbstractCost< LabelT, OutputT > | inline | 
  | IS_LOSS_FUNCTION enum value | shark::AbstractCost< LabelT, OutputT > |  | 
  | isLossFunction() const | shark::AbstractCost< LabelT, OutputT > | inline | 
  | LabelType typedef | shark::AbstractLoss< LabelT, OutputT > |  | 
  | m_features | shark::AbstractCost< LabelT, OutputT > | protected | 
  | MatrixType typedef | shark::AbstractLoss< LabelT, OutputT > |  | 
  | name() const | shark::SquaredLoss< OutputType, LabelType > | inlinevirtual | 
  | operator()(LabelType const &target, OutputType const &prediction) const | shark::AbstractLoss< LabelT, OutputT > | inline | 
  | operator()(BatchLabelType const &target, BatchOutputType const &prediction) const | shark::AbstractLoss< LabelT, OutputT > | inline | 
  | shark::AbstractCost::operator()(Data< LabelType > const &targets, Data< OutputType > const &predictions) const | shark::AbstractCost< LabelT, OutputT > | inline | 
  | OutputType typedef | shark::AbstractLoss< LabelT, OutputT > |  | 
  | SquaredLoss() | shark::SquaredLoss< OutputType, LabelType > | inline | 
  | updateFeatures() | shark::AbstractCost< LabelT, OutputT > | inlinevirtual | 
  | ~AbstractCost() | shark::AbstractCost< LabelT, OutputT > | inlinevirtual | 
  | ~INameable() | shark::INameable | inlinevirtual |