shark::WeightedSumKernel< InputType > Member List

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

AbstractKernelFunction()shark::AbstractKernelFunction< InputType >inline
AbstractMetric()shark::AbstractMetric< InputType >inline
BatchInputType typedefshark::WeightedSumKernel< InputType >
BOOST_SERIALIZATION_SPLIT_MEMBER()shark::ISerializable
ConstBatchInputReference typedefshark::WeightedSumKernel< InputType >
ConstInputReference typedefshark::WeightedSumKernel< InputType >
createState() constshark::WeightedSumKernel< InputType >inlinevirtual
eval(ConstInputReference x1, ConstInputReference x2) constshark::WeightedSumKernel< InputType >inlinevirtual
eval(ConstBatchInputReference batchX1, ConstBatchInputReference batchX2, RealMatrix &result) constshark::WeightedSumKernel< InputType >inlinevirtual
eval(ConstBatchInputReference batchX1, ConstBatchInputReference batchX2, RealMatrix &result, State &state) constshark::WeightedSumKernel< InputType >inlinevirtual
Feature enum nameshark::AbstractKernelFunction< InputType >
featureDistance(ConstInputReference x1, ConstInputReference x2) constshark::AbstractMetric< InputType >inline
featureDistanceSqr(ConstInputReference x1, ConstInputReference x2) constshark::AbstractKernelFunction< InputType >inlinevirtual
featureDistanceSqr(ConstBatchInputReference batchX1, ConstBatchInputReference batchX2) constshark::AbstractKernelFunction< InputType >inlinevirtual
AbstractMetric< InputType >::featureDistanceSqr(ConstInputReference x1, ConstInputReference x2) const=0shark::AbstractMetric< InputType >pure virtual
FeatureNotAvailableException typedefshark::AbstractKernelFunction< InputType >
features() constshark::AbstractKernelFunction< InputType >inline
Features typedefshark::AbstractKernelFunction< InputType >
HAS_FIRST_INPUT_DERIVATIVE enum valueshark::AbstractKernelFunction< InputType >
HAS_FIRST_PARAMETER_DERIVATIVE enum valueshark::AbstractKernelFunction< InputType >
hasFirstInputDerivative() constshark::AbstractKernelFunction< InputType >inline
hasFirstParameterDerivative() constshark::AbstractKernelFunction< InputType >inline
InputType typedefshark::AbstractKernelFunction< InputType >
IS_NORMALIZED enum valueshark::AbstractKernelFunction< InputType >
isAdaptive(std::size_t index) constshark::WeightedSumKernel< InputType >inline
isNormalized() constshark::AbstractKernelFunction< InputType >inline
load(InArchive &archive, unsigned int version)shark::ISerializableinline
m_adaptWeightsshark::WeightedSumKernel< InputType >protected
m_baseshark::WeightedSumKernel< InputType >protected
m_featuresshark::AbstractKernelFunction< InputType >protected
m_numParametersshark::WeightedSumKernel< InputType >protected
m_weightsumshark::WeightedSumKernel< InputType >protected
name() constshark::WeightedSumKernel< InputType >inlinevirtual
numberOfParameters() constshark::WeightedSumKernel< InputType >inlinevirtual
operator()(ConstInputReference x1, ConstInputReference x2) constshark::AbstractKernelFunction< InputType >inline
operator()(ConstBatchInputReference batchX1, ConstBatchInputReference batchX2) constshark::AbstractKernelFunction< InputType >inline
parameterVector() constshark::WeightedSumKernel< InputType >inlinevirtual
ParameterVectorType typedefshark::IParameterizable<>
read(InArchive &ar)shark::WeightedSumKernel< InputType >inlinevirtual
save(OutArchive &archive, unsigned int version) constshark::ISerializableinline
setAdaptive(std::size_t index, bool b=true)shark::WeightedSumKernel< InputType >inline
setAdaptiveAll(bool b=true)shark::WeightedSumKernel< InputType >inline
setAdaptiveWeights(bool b)shark::WeightedSumKernel< InputType >inline
setParameterVector(RealVector const &newParameters)shark::WeightedSumKernel< InputType >inlinevirtual
SUPPORTS_VARIABLE_INPUT_SIZE enum valueshark::AbstractKernelFunction< InputType >
supportsVariableInputSize() constshark::AbstractKernelFunction< InputType >inline
updateFeatures()shark::AbstractKernelFunction< InputType >inlinevirtual
updateNumberOfParameters()shark::WeightedSumKernel< InputType >inlineprotected
weight(std::size_t index)shark::WeightedSumKernel< InputType >inline
weightedInputDerivative(ConstBatchInputReference batchX1, ConstBatchInputReference batchX2, RealMatrix const &coefficientsX2, State const &state, BatchInputType &gradient) constshark::WeightedSumKernel< InputType >inlinevirtual
weightedInputDerivativeImpl(ConstBatchInputReference batchX1, ConstBatchInputReference batchX2, RealMatrix const &coefficientsX2, State const &state, BatchInputType &gradient, typename boost::enable_if< boost::is_same< T, RealMatrix > >::type *dummy=0) constshark::WeightedSumKernel< InputType >inlineprotected
weightedInputDerivativeImpl(ConstBatchInputReference batchX1, ConstBatchInputReference batchX2, RealMatrix const &coefficientsX2, State const &state, BatchInputType &gradient, typename boost::disable_if< boost::is_same< T, RealMatrix > >::type *dummy=0) constshark::WeightedSumKernel< InputType >inlineprotected
weightedParameterDerivative(ConstBatchInputReference batchX1, ConstBatchInputReference batchX2, RealMatrix const &coefficients, State const &state, RealVector &gradient) constshark::WeightedSumKernel< InputType >inlinevirtual
WeightedSumKernel(std::vector< AbstractKernelFunction< InputType > * > const &base)shark::WeightedSumKernel< InputType >inline
write(OutArchive &ar) constshark::WeightedSumKernel< InputType >inlinevirtual
~AbstractMetric()shark::AbstractMetric< InputType >inlinevirtual
~INameable()shark::INameableinlinevirtual
~IParameterizable()shark::IParameterizable<>inlinevirtual
~ISerializable()shark::ISerializableinlinevirtual