shark::SquaredLoss< Sequence, Sequence > Member List

This is the complete list of members for shark::SquaredLoss< Sequence, Sequence >, including all inherited members.

AbstractLoss()shark::AbstractLoss< Sequence, Sequence >inline
BatchLabelType typedefshark::AbstractLoss< Sequence, Sequence >
BatchOutputType typedefshark::AbstractLoss< Sequence, Sequence >
ConstLabelReference typedefshark::AbstractLoss< Sequence, Sequence >
ConstOutputReference typedefshark::AbstractLoss< Sequence, Sequence >
eval(BatchLabelType const &labels, BatchOutputType const &predictions) constshark::SquaredLoss< Sequence, Sequence >inlinevirtual
AbstractLoss< Sequence, Sequence >::eval(ConstLabelReference target, ConstOutputReference prediction) constshark::AbstractLoss< Sequence, Sequence >inlinevirtual
AbstractLoss< Sequence, Sequence >::eval(Data< LabelType > const &targets, Data< OutputType > const &predictions) constshark::AbstractLoss< Sequence, Sequence >inlinevirtual
evalDerivative(BatchLabelType const &labels, BatchOutputType const &predictions, BatchOutputType &gradient) constshark::SquaredLoss< Sequence, Sequence >inlinevirtual
AbstractLoss< Sequence, Sequence >::evalDerivative(ConstLabelReference target, ConstOutputReference prediction, OutputType &gradient) constshark::AbstractLoss< Sequence, Sequence >inlinevirtual
AbstractLoss< Sequence, Sequence >::evalDerivative(ConstLabelReference target, ConstOutputReference prediction, OutputType &gradient, MatrixType &hessian) constshark::AbstractLoss< Sequence, Sequence >inlinevirtual
Feature enum nameshark::AbstractCost< Sequence, Sequence >
FeatureNotAvailableException typedefshark::AbstractCost< Sequence, Sequence >
Features typedefshark::AbstractCost< Sequence, Sequence >
features() constshark::AbstractCost< Sequence, Sequence >inline
HAS_FIRST_DERIVATIVE enum valueshark::AbstractCost< Sequence, Sequence >
HAS_SECOND_DERIVATIVE enum valueshark::AbstractCost< Sequence, Sequence >
hasFirstDerivative() constshark::AbstractCost< Sequence, Sequence >inline
IS_LOSS_FUNCTION enum valueshark::AbstractCost< Sequence, Sequence >
isLossFunction() constshark::AbstractCost< Sequence, Sequence >inline
LabelType typedefshark::AbstractLoss< Sequence, Sequence >
m_featuresshark::AbstractCost< Sequence, Sequence >protected
MatrixType typedefshark::AbstractLoss< Sequence, Sequence >
name() constshark::SquaredLoss< Sequence, Sequence >inlinevirtual
operator()(LabelType const &target, OutputType const &prediction) constshark::AbstractLoss< Sequence, Sequence >inline
operator()(BatchLabelType const &target, BatchOutputType const &prediction) constshark::AbstractLoss< Sequence, Sequence >inline
AbstractCost< Sequence, Sequence >::operator()(Data< LabelType > const &targets, Data< OutputType > const &predictions) constshark::AbstractCost< Sequence, Sequence >inline
OutputType typedefshark::AbstractLoss< Sequence, Sequence >
SquaredLoss(std::size_t ignore=0)shark::SquaredLoss< Sequence, Sequence >inline
updateFeatures()shark::AbstractCost< Sequence, Sequence >inlinevirtual
~AbstractCost()shark::AbstractCost< Sequence, Sequence >inlinevirtual
~INameable()shark::INameableinlinevirtual