| 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::MissingFeaturesKernelExpansion< InputType > | |
| BatchOutputType typedef | shark::MissingFeaturesKernelExpansion< InputType > | |
| BOOST_SERIALIZATION_SPLIT_MEMBER() | shark::ISerializable | |
| computeNorm(const RealVector &alpha, const RealVector &scalingCoefficient, InputTypeT const &missingness) const | shark::MissingFeaturesKernelExpansion< InputType > | inline |
| computeNorm(const RealVector &alpha, const RealVector &scalingCoefficient) const | shark::MissingFeaturesKernelExpansion< InputType > | inline |
| createState() const | shark::MissingFeaturesKernelExpansion< InputType > | inlinevirtual |
| eval(BatchInputType const &patterns, BatchOutputType &outputs) const | shark::MissingFeaturesKernelExpansion< InputType > | inlinevirtual |
| eval(BatchInputType const &patterns, BatchOutputType &outputs, State &state) const | shark::MissingFeaturesKernelExpansion< 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 typedef | shark::AbstractModel< InputType, RealVector > | |
| features() const | shark::AbstractModel< InputType, RealVector > | inline |
| 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::MissingFeaturesKernelExpansion< 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_classifierNorm | shark::MissingFeaturesKernelExpansion< InputType > | protected |
| m_features | shark::AbstractModel< InputType, RealVector > | protected |
| m_scalingCoefficients | shark::MissingFeaturesKernelExpansion< InputType > | protected |
| mep_kernel | shark::KernelExpansion< InputType > | protected |
| MissingFeaturesKernelExpansion() | shark::MissingFeaturesKernelExpansion< InputType > | inline |
| MissingFeaturesKernelExpansion(KernelType *kernel) | shark::MissingFeaturesKernelExpansion< InputType > | inline |
| MissingFeaturesKernelExpansion(KernelType *kernel, Data< InputType > const &basis, bool offset) | shark::MissingFeaturesKernelExpansion< InputType > | inline |
| ModelBaseType typedef | shark::AbstractModel< InputType, RealVector > | |
| name() const | shark::MissingFeaturesKernelExpansion< 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< VectorType > | |
| read(InArchive &archive) | shark::KernelExpansion< InputType > | inlinevirtual |
| save(OutArchive &archive, unsigned int version) const | shark::ISerializable | inline |
| setClassifierNorm(double classifierNorm) | shark::MissingFeaturesKernelExpansion< InputType > | inline |
| setKernel(KernelType *kernel) | shark::KernelExpansion< InputType > | inline |
| setParameterVector(RealVector const &newParameters) | shark::KernelExpansion< InputType > | inlinevirtual |
| setScalingCoefficients(const RealVector &scalingCoefficients) | shark::MissingFeaturesKernelExpansion< InputType > | inline |
| 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< VectorType > | inlinevirtual |
| ~ISerializable() | shark::ISerializable | inlinevirtual |