| AbstractModel() | shark::AbstractModel< KernelExpansion< InputType > ::InputType, unsigned int > | inline |
| BatchInputType typedef | shark::Classifier< KernelExpansion< InputType > > | |
| BatchOutputType typedef | shark::Classifier< KernelExpansion< InputType > > | |
| bias() const | shark::Classifier< KernelExpansion< InputType > > | inline |
| bias() | shark::Classifier< KernelExpansion< InputType > > | inline |
| BOOST_SERIALIZATION_SPLIT_MEMBER() | shark::ISerializable | |
| Classifier() | shark::Classifier< KernelExpansion< InputType > > | inline |
| Classifier(KernelExpansion< InputType > const &decisionFunction) | shark::Classifier< KernelExpansion< InputType > > | inline |
| createState() const | shark::AbstractModel< KernelExpansion< InputType > ::InputType, unsigned int > | inlinevirtual |
| decisionFunction() const | shark::Classifier< KernelExpansion< InputType > > | inline |
| decisionFunction() | shark::Classifier< KernelExpansion< InputType > > | inline |
| eval(BatchInputType const &input, BatchOutputType &output) const | shark::Classifier< KernelExpansion< InputType > > | inlinevirtual |
| eval(BatchInputType const &input, BatchOutputType &output, State &state) const | shark::Classifier< KernelExpansion< InputType > > | inlinevirtual |
| eval(InputType const &pattern, OutputType &output) const | shark::Classifier< KernelExpansion< InputType > > | inlinevirtual |
| Feature enum name | shark::AbstractModel< KernelExpansion< InputType > ::InputType, unsigned int > | |
| FeatureNotAvailableException typedef | shark::AbstractModel< KernelExpansion< InputType > ::InputType, unsigned int > | |
| features() const | shark::AbstractModel< KernelExpansion< InputType > ::InputType, unsigned int > | inline |
| Features typedef | shark::AbstractModel< KernelExpansion< InputType > ::InputType, unsigned int > | |
| HAS_FIRST_INPUT_DERIVATIVE enum value | shark::AbstractModel< KernelExpansion< InputType > ::InputType, unsigned int > | |
| HAS_FIRST_PARAMETER_DERIVATIVE enum value | shark::AbstractModel< KernelExpansion< InputType > ::InputType, unsigned int > | |
| hasFirstInputDerivative() const | shark::AbstractModel< KernelExpansion< InputType > ::InputType, unsigned int > | inline |
| hasFirstParameterDerivative() const | shark::AbstractModel< KernelExpansion< InputType > ::InputType, unsigned int > | inline |
| inputShape() const | shark::Classifier< KernelExpansion< InputType > > | inlinevirtual |
| InputType typedef | shark::Classifier< KernelExpansion< InputType > > | |
| KernelClassifier() | shark::KernelClassifier< InputType > | inline |
| KernelClassifier(KernelType *kernel) | shark::KernelClassifier< InputType > | inline |
| KernelClassifier(KernelExpansionType const &decisionFunction) | shark::KernelClassifier< InputType > | inline |
| KernelExpansionType typedef | shark::KernelClassifier< InputType > | |
| KernelType typedef | shark::KernelClassifier< InputType > | |
| load(InArchive &archive, unsigned int version) | shark::ISerializable | inline |
| m_features | shark::AbstractModel< KernelExpansion< InputType > ::InputType, unsigned int > | protected |
| ModelBaseType typedef | shark::AbstractModel< KernelExpansion< InputType > ::InputType, unsigned int > | |
| name() const | shark::KernelClassifier< InputType > | inlinevirtual |
| numberOfParameters() const | shark::Classifier< KernelExpansion< InputType > > | inlinevirtual |
| operator()(Data< InputType > const &patterns) const | shark::AbstractModel< KernelExpansion< InputType > ::InputType, unsigned int > | inline |
| operator()(InputType const &pattern) const | shark::AbstractModel< KernelExpansion< InputType > ::InputType, unsigned int > | inline |
| operator()(BatchInputType const &patterns) const | shark::AbstractModel< KernelExpansion< InputType > ::InputType, unsigned int > | inline |
| outputShape() const | shark::Classifier< KernelExpansion< InputType > > | inlinevirtual |
| OutputType typedef | shark::Classifier< KernelExpansion< InputType > > | |
| parameterVector() const | shark::Classifier< KernelExpansion< InputType > > | inlinevirtual |
| ParameterVectorType typedef | shark::IParameterizable< RealVector > | |
| read(InArchive &archive) | shark::Classifier< KernelExpansion< InputType > > | inlinevirtual |
| save(OutArchive &archive, unsigned int version) const | shark::ISerializable | inline |
| setParameterVector(RealVector const &newParameters) | shark::Classifier< KernelExpansion< InputType > > | inlinevirtual |
| updateFeatures() | shark::AbstractModel< KernelExpansion< InputType > ::InputType, unsigned int > | inlinevirtual |
| weightedDerivatives(BatchInputType const &patterns, BatchOutputType const &outputs, BatchOutputType const &coefficients, State const &state, RealVector ¶meterDerivative, BatchInputType &inputDerivative) const | shark::AbstractModel< KernelExpansion< InputType > ::InputType, unsigned int > | inlinevirtual |
| weightedInputDerivative(BatchInputType const &pattern, BatchOutputType const &outputs, BatchOutputType const &coefficients, State const &state, BatchInputType &derivative) const | shark::AbstractModel< KernelExpansion< InputType > ::InputType, unsigned int > | inlinevirtual |
| weightedParameterDerivative(BatchInputType const &pattern, BatchOutputType const &outputs, BatchOutputType const &coefficients, State const &state, RealVector &derivative) const | shark::AbstractModel< KernelExpansion< InputType > ::InputType, unsigned int > | inlinevirtual |
| write(OutArchive &archive) const | shark::Classifier< KernelExpansion< InputType > > | inlinevirtual |
| ~AbstractModel() | shark::AbstractModel< KernelExpansion< InputType > ::InputType, unsigned int > | inlinevirtual |
| ~INameable() | shark::INameable | inlinevirtual |
| ~IParameterizable() | shark::IParameterizable< RealVector > | inlinevirtual |
| ~ISerializable() | shark::ISerializable | inlinevirtual |