shark::GaussianNoiseModel Member List

This is the complete list of members for shark::GaussianNoiseModel, including all inherited members.

AbstractModel()shark::AbstractModel< RealVector, RealVector >inline
BatchInputType typedefshark::AbstractModel< RealVector, RealVector >
BatchOutputType typedefshark::AbstractModel< RealVector, RealVector >
BOOST_SERIALIZATION_SPLIT_MEMBER()shark::ISerializable
createState() const shark::GaussianNoiseModelinlinevirtual
eval(BatchInputType const &inputs, BatchOutputType &outputs) const shark::GaussianNoiseModelinlinevirtual
eval(BatchInputType const &inputs, BatchOutputType &outputs, State &state) const shark::GaussianNoiseModelinlinevirtual
AbstractModel< RealVector, RealVector >::eval(InputType const &pattern, OutputType &output) constshark::AbstractModel< RealVector, RealVector >inlinevirtual
Feature enum nameshark::AbstractModel< RealVector, RealVector >
FeatureNotAvailableException typedefshark::AbstractModel< RealVector, RealVector >
Features typedefshark::AbstractModel< RealVector, RealVector >
features() constshark::AbstractModel< RealVector, RealVector >inline
GaussianNoiseModel()shark::GaussianNoiseModelinline
GaussianNoiseModel(unsigned int inputs, double variance)shark::GaussianNoiseModelinline
HAS_FIRST_INPUT_DERIVATIVE enum valueshark::AbstractModel< RealVector, RealVector >
HAS_FIRST_PARAMETER_DERIVATIVE enum valueshark::AbstractModel< RealVector, RealVector >
HAS_SECOND_INPUT_DERIVATIVE enum valueshark::AbstractModel< RealVector, RealVector >
HAS_SECOND_PARAMETER_DERIVATIVE enum valueshark::AbstractModel< RealVector, RealVector >
hasFirstInputDerivative() constshark::AbstractModel< RealVector, RealVector >inline
hasFirstParameterDerivative() constshark::AbstractModel< RealVector, RealVector >inline
hasSecondInputDerivative() constshark::AbstractModel< RealVector, RealVector >inline
hasSecondParameterDerivative() constshark::AbstractModel< RealVector, RealVector >inline
inputSize() const shark::GaussianNoiseModelinline
InputType typedefshark::AbstractModel< RealVector, RealVector >
IS_SEQUENTIAL enum valueshark::AbstractModel< RealVector, RealVector >
isSequential() constshark::AbstractModel< RealVector, RealVector >inline
load(InArchive &archive, unsigned int version)shark::ISerializableinline
m_featuresshark::AbstractModel< RealVector, RealVector >protected
name() const shark::GaussianNoiseModelinlinevirtual
numberOfParameters() const shark::GaussianNoiseModelinlinevirtual
operator()(Data< InputType > const &patterns) constshark::AbstractModel< RealVector, RealVector >inline
operator()(InputType const &pattern) constshark::AbstractModel< RealVector, RealVector >inline
operator()(BatchInputType const &patterns) constshark::AbstractModel< RealVector, RealVector >inline
outputSize() const shark::GaussianNoiseModelinline
OutputType typedefshark::AbstractModel< RealVector, RealVector >
parameterVector() const shark::GaussianNoiseModelinlinevirtual
read(InArchive &archive)shark::AbstractModel< RealVector, RealVector >inlinevirtual
save(OutArchive &archive, unsigned int version) const shark::ISerializableinline
setParameterVector(RealVector const &newParameters)shark::GaussianNoiseModelinlinevirtual
setStructure(unsigned int inputs, double variance)shark::GaussianNoiseModelinline
setStructure(RealVector const &variances)shark::GaussianNoiseModelinline
updateFeatures()shark::AbstractModel< RealVector, RealVector >inlinevirtual
variances() const shark::GaussianNoiseModelinline
variances()shark::GaussianNoiseModelinline
weightedDerivatives(BatchInputType const &patterns, BatchOutputType const &coefficients, State const &state, RealVector &parameterDerivative, BatchInputType &inputDerivative) constshark::AbstractModel< RealVector, RealVector >inlinevirtual
weightedInputDerivative(BatchInputType const &pattern, BatchOutputType const &coefficients, State const &state, BatchInputType &derivative) constshark::AbstractModel< RealVector, RealVector >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< RealVector, RealVector >inlinevirtual
weightedParameterDerivative(BatchInputType const &patterns, RealVector const &coefficients, State const &state, RealVector &gradient) const shark::GaussianNoiseModelinline
AbstractModel< RealVector, RealVector >::weightedParameterDerivative(BatchInputType const &pattern, BatchOutputType const &coefficients, State const &state, RealVector &derivative) constshark::AbstractModel< RealVector, RealVector >inlinevirtual
AbstractModel< RealVector, RealVector >::weightedParameterDerivative(BatchInputType const &pattern, BatchOutputType const &coefficients, Batch< RealMatrix >::type const &errorHessian, State const &state, RealVector &derivative, RealMatrix &hessian) constshark::AbstractModel< RealVector, RealVector >inlinevirtual
write(OutArchive &archive) constshark::AbstractModel< RealVector, RealVector >inlinevirtual
~AbstractModel()shark::AbstractModel< RealVector, RealVector >inlinevirtual
~INameable()shark::INameableinlinevirtual
~IParameterizable()shark::IParameterizableinlinevirtual
~ISerializable()shark::ISerializableinlinevirtual