shark::Normalizer< DataType > Member List

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

AbstractModel()shark::AbstractModel< DataType, DataType >inline
BatchInputType typedefshark::Normalizer< DataType >
BatchOutputType typedefshark::Normalizer< DataType >
BOOST_SERIALIZATION_SPLIT_MEMBER()shark::ISerializable
createState() constshark::Normalizer< DataType >inlinevirtual
diagonal() constshark::Normalizer< DataType >inline
eval(BatchInputType const &input, BatchOutputType &output) constshark::Normalizer< DataType >inlinevirtual
eval(BatchInputType const &input, BatchOutputType &output, State &state) constshark::Normalizer< DataType >inlinevirtual
AbstractModel< DataType, DataType >::eval(InputType const &pattern, OutputType &output) constshark::AbstractModel< DataType, DataType >inlinevirtual
Feature enum nameshark::AbstractModel< DataType, DataType >
FeatureNotAvailableException typedefshark::AbstractModel< DataType, DataType >
features() constshark::AbstractModel< DataType, DataType >inline
Features typedefshark::AbstractModel< DataType, DataType >
HAS_FIRST_INPUT_DERIVATIVE enum valueshark::AbstractModel< DataType, DataType >
HAS_FIRST_PARAMETER_DERIVATIVE enum valueshark::AbstractModel< DataType, DataType >
HAS_SECOND_INPUT_DERIVATIVE enum valueshark::AbstractModel< DataType, DataType >
HAS_SECOND_PARAMETER_DERIVATIVE enum valueshark::AbstractModel< DataType, DataType >
hasFirstInputDerivative() constshark::AbstractModel< DataType, DataType >inline
hasFirstParameterDerivative() constshark::AbstractModel< DataType, DataType >inline
hasOffset() constshark::Normalizer< DataType >inline
hasSecondInputDerivative() constshark::AbstractModel< DataType, DataType >inline
hasSecondParameterDerivative() constshark::AbstractModel< DataType, DataType >inline
inputSize() constshark::Normalizer< DataType >inline
InputType typedefshark::AbstractModel< DataType, DataType >
IS_SEQUENTIAL enum valueshark::AbstractModel< DataType, DataType >
isSequential() constshark::AbstractModel< DataType, DataType >inline
isValid() constshark::Normalizer< DataType >inline
load(InArchive &archive, unsigned int version)shark::ISerializableinline
m_Ashark::Normalizer< DataType >protected
m_bshark::Normalizer< DataType >protected
m_featuresshark::AbstractModel< DataType, DataType >protected
m_hasOffsetshark::Normalizer< DataType >protected
name() constshark::Normalizer< DataType >inlinevirtual
Normalizer()shark::Normalizer< DataType >inline
Normalizer(const self_type &model)shark::Normalizer< DataType >inline
Normalizer(std::size_t dimension, bool hasOffset=false)shark::Normalizer< DataType >inline
Normalizer(RealVector diagonal)shark::Normalizer< DataType >inline
Normalizer(RealVector diagonal, RealVector vector)shark::Normalizer< DataType >inline
numberOfParameters() constshark::Normalizer< DataType >inlinevirtual
offset() constshark::Normalizer< DataType >inline
operator()(Data< InputType > const &patterns) constshark::AbstractModel< DataType, DataType >inline
operator()(InputType const &pattern) constshark::AbstractModel< DataType, DataType >inline
operator()(BatchInputType const &patterns) constshark::AbstractModel< DataType, DataType >inline
operator=(const self_type &model)shark::Normalizer< DataType >inline
outputSize() constshark::Normalizer< DataType >inline
OutputType typedefshark::AbstractModel< DataType, DataType >
parameterVector() constshark::Normalizer< DataType >inlinevirtual
read(InArchive &archive)shark::Normalizer< DataType >inlinevirtual
save(OutArchive &archive, unsigned int version) constshark::ISerializableinline
setParameterVector(RealVector const &newParameters)shark::Normalizer< DataType >inlinevirtual
setStructure(RealVector const &diagonal)shark::Normalizer< DataType >inline
setStructure(std::size_t dimension, bool hasOffset=false)shark::Normalizer< DataType >inline
setStructure(RealVector const &diagonal, RealVector const &offset)shark::Normalizer< DataType >inline
swap(const Normalizer &model1, const Normalizer &model2)shark::Normalizer< DataType >friend
updateFeatures()shark::AbstractModel< DataType, DataType >inlinevirtual
weightedDerivatives(BatchInputType const &patterns, BatchOutputType const &coefficients, State const &state, RealVector &parameterDerivative, BatchInputType &inputDerivative) constshark::AbstractModel< DataType, DataType >inlinevirtual
weightedInputDerivative(BatchInputType const &pattern, BatchOutputType const &coefficients, State const &state, BatchInputType &derivative) constshark::AbstractModel< DataType, DataType >inlinevirtual
weightedInputDerivative(BatchInputType const &pattern, BatchOutputType const &coefficients, typename Batch< RealMatrix >::type const &errorHessian, State const &state, RealMatrix &derivative, Batch< RealMatrix >::type &hessian) constshark::AbstractModel< DataType, DataType >inlinevirtual
weightedParameterDerivative(BatchInputType const &pattern, BatchOutputType const &coefficients, State const &state, RealVector &derivative) constshark::AbstractModel< DataType, DataType >inlinevirtual
weightedParameterDerivative(BatchInputType const &pattern, BatchOutputType const &coefficients, Batch< RealMatrix >::type const &errorHessian, State const &state, RealVector &derivative, RealMatrix &hessian) constshark::AbstractModel< DataType, DataType >inlinevirtual
write(OutArchive &archive) constshark::Normalizer< DataType >inlinevirtual
~AbstractModel()shark::AbstractModel< DataType, DataType >inlinevirtual
~INameable()shark::INameableinlinevirtual
~IParameterizable()shark::IParameterizableinlinevirtual
~ISerializable()shark::ISerializableinlinevirtual