AbstractModel() | shark::AbstractModel< InputType, RealVector > | inline |
alpha() | shark::KernelExpansion< InputType > | inline |
alpha() const | shark::KernelExpansion< InputType > | inline |
alpha(std::size_t example, std::size_t cls) | shark::KernelExpansion< InputType > | inline |
alpha(std::size_t example, std::size_t cls) const | shark::KernelExpansion< InputType > | inline |
basis() const | shark::KernelExpansion< InputType > | inline |
basis() | shark::KernelExpansion< InputType > | inline |
BatchInputType typedef | shark::KernelExpansion< InputType > | |
BatchOutputType typedef | shark::KernelExpansion< InputType > | |
BOOST_SERIALIZATION_SPLIT_MEMBER() | shark::ISerializable | |
createState() const | shark::KernelExpansion< InputType > | inlinevirtual |
eval(BatchInputType const &patterns, BatchOutputType &output) const | shark::KernelExpansion< InputType > | inlinevirtual |
eval(BatchInputType const &patterns, BatchOutputType &outputs, State &state) const | shark::KernelExpansion< InputType > | inlinevirtual |
AbstractModel< InputType, RealVector >::eval(InputType const &pattern, OutputType &output) const | shark::AbstractModel< InputType, RealVector > | inlinevirtual |
Feature enum name | shark::AbstractModel< InputType, RealVector > | |
FeatureNotAvailableException typedef | shark::AbstractModel< InputType, RealVector > | |
features() const | shark::AbstractModel< InputType, RealVector > | inline |
Features typedef | shark::AbstractModel< InputType, RealVector > | |
HAS_FIRST_INPUT_DERIVATIVE enum value | shark::AbstractModel< InputType, RealVector > | |
HAS_FIRST_PARAMETER_DERIVATIVE enum value | shark::AbstractModel< InputType, RealVector > | |
hasFirstInputDerivative() const | shark::AbstractModel< InputType, RealVector > | inline |
hasFirstParameterDerivative() const | shark::AbstractModel< InputType, RealVector > | inline |
hasOffset() const | shark::KernelExpansion< InputType > | inline |
inputShape() const | shark::KernelExpansion< InputType > | inlinevirtual |
InputType typedef | shark::AbstractModel< InputType, RealVector > | |
kernel() const | shark::KernelExpansion< InputType > | inline |
kernel() | shark::KernelExpansion< InputType > | inline |
KernelExpansion() | shark::KernelExpansion< InputType > | inline |
KernelExpansion(KernelType *kernel) | shark::KernelExpansion< InputType > | inline |
KernelExpansion(KernelType *kernel, Data< InputType > const &basis, bool offset, std::size_t outputs=1) | shark::KernelExpansion< InputType > | inline |
KernelType typedef | shark::KernelExpansion< InputType > | |
load(InArchive &archive, unsigned int version) | shark::ISerializable | inline |
m_alpha | shark::KernelExpansion< InputType > | protected |
m_b | shark::KernelExpansion< InputType > | protected |
m_basis | shark::KernelExpansion< InputType > | protected |
m_features | shark::AbstractModel< InputType, RealVector > | protected |
mep_kernel | shark::KernelExpansion< InputType > | protected |
ModelBaseType typedef | shark::AbstractModel< InputType, RealVector > | |
name() const | shark::KernelExpansion< InputType > | inlinevirtual |
numberOfParameters() const | shark::KernelExpansion< InputType > | inlinevirtual |
offset() | shark::KernelExpansion< InputType > | inline |
offset() const | shark::KernelExpansion< InputType > | inline |
offset(std::size_t cls) | shark::KernelExpansion< InputType > | inline |
offset(std::size_t cls) const | shark::KernelExpansion< InputType > | inline |
operator()(Data< InputType > const &patterns) const | shark::AbstractModel< InputType, RealVector > | inline |
operator()(InputType const &pattern) const | shark::AbstractModel< InputType, RealVector > | inline |
operator()(BatchInputType const &patterns) const | shark::AbstractModel< InputType, RealVector > | inline |
outputShape() const | shark::KernelExpansion< InputType > | inlinevirtual |
OutputType typedef | shark::AbstractModel< InputType, RealVector > | |
parameterVector() const | shark::KernelExpansion< InputType > | inlinevirtual |
ParameterVectorType typedef | shark::IParameterizable< RealVector > | |
read(InArchive &archive) | shark::KernelExpansion< InputType > | inlinevirtual |
save(OutArchive &archive, unsigned int version) const | shark::ISerializable | inline |
setKernel(KernelType *kernel) | shark::KernelExpansion< InputType > | inline |
setParameterVector(RealVector const &newParameters) | shark::KernelExpansion< InputType > | inlinevirtual |
setStructure(KernelType *kernel, Data< InputType > const &basis, bool offset, std::size_t outputs=1) | shark::KernelExpansion< InputType > | inline |
sparsify() | shark::KernelExpansion< InputType > | inline |
updateFeatures() | shark::AbstractModel< InputType, RealVector > | inlinevirtual |
weightedDerivatives(BatchInputType const &patterns, BatchOutputType const &outputs, BatchOutputType const &coefficients, State const &state, RealVector ¶meterDerivative, BatchInputType &inputDerivative) const | shark::AbstractModel< InputType, RealVector > | inlinevirtual |
weightedInputDerivative(BatchInputType const &pattern, BatchOutputType const &outputs, BatchOutputType const &coefficients, State const &state, BatchInputType &derivative) const | shark::AbstractModel< InputType, RealVector > | inlinevirtual |
weightedParameterDerivative(BatchInputType const &pattern, BatchOutputType const &outputs, BatchOutputType const &coefficients, State const &state, RealVector &derivative) const | shark::AbstractModel< InputType, RealVector > | inlinevirtual |
write(OutArchive &archive) const | shark::KernelExpansion< InputType > | inlinevirtual |
~AbstractModel() | shark::AbstractModel< InputType, RealVector > | inlinevirtual |
~INameable() | shark::INameable | inlinevirtual |
~IParameterizable() | shark::IParameterizable< RealVector > | inlinevirtual |
~ISerializable() | shark::ISerializable | inlinevirtual |