| AbstractKernelFunction() | shark::AbstractKernelFunction< InputTypeT > | inline | 
  | AbstractMetric() | shark::AbstractMetric< InputTypeT > | inline | 
  | BatchInputType typedef | shark::NormalizedKernel< InputType > |  | 
  | BOOST_SERIALIZATION_SPLIT_MEMBER() | shark::ISerializable |  | 
  | ConstBatchInputReference typedef | shark::NormalizedKernel< InputType > |  | 
  | ConstInputReference typedef | shark::NormalizedKernel< InputType > |  | 
  | createState() const | shark::NormalizedKernel< InputType > | inlinevirtual | 
  | eval(ConstInputReference x1, ConstInputReference x2) const | shark::NormalizedKernel< InputType > | inline | 
  | eval(ConstBatchInputReference const &batchX1, ConstBatchInputReference const &batchX2, RealMatrix &result, State &state) const | shark::NormalizedKernel< InputType > | inline | 
  | eval(ConstBatchInputReference const &batchX1, ConstBatchInputReference const &batchX2, RealMatrix &result) const | shark::NormalizedKernel< InputType > | inline | 
  | shark::AbstractKernelFunction::eval(ConstInputReference x1, ConstInputReference x2) const | shark::AbstractKernelFunction< InputTypeT > | inlinevirtual | 
  | shark::AbstractKernelFunction::eval(ConstBatchInputReference batchX1, ConstBatchInputReference batchX2, RealMatrix &result, State &state) const =0 | shark::AbstractKernelFunction< InputTypeT > | pure virtual | 
  | shark::AbstractKernelFunction::eval(ConstBatchInputReference batchX1, ConstBatchInputReference batchX2, RealMatrix &result) const | shark::AbstractKernelFunction< InputTypeT > | inlinevirtual | 
  | Feature enum name | shark::AbstractKernelFunction< InputTypeT > |  | 
  | featureDistance(ConstInputReference x1, ConstInputReference x2) const | shark::AbstractMetric< InputTypeT > | inline | 
  | featureDistanceSqr(ConstInputReference x1, ConstInputReference x2) const | shark::AbstractKernelFunction< InputTypeT > | inlinevirtual | 
  | featureDistanceSqr(ConstBatchInputReference batchX1, ConstBatchInputReference batchX2) const | shark::AbstractKernelFunction< InputTypeT > | inlinevirtual | 
  | FeatureNotAvailableException typedef | shark::AbstractKernelFunction< InputTypeT > |  | 
  | features() const | shark::AbstractKernelFunction< InputTypeT > | inline | 
  | Features typedef | shark::AbstractKernelFunction< InputTypeT > |  | 
  | HAS_FIRST_INPUT_DERIVATIVE enum value | shark::AbstractKernelFunction< InputTypeT > |  | 
  | HAS_FIRST_PARAMETER_DERIVATIVE enum value | shark::AbstractKernelFunction< InputTypeT > |  | 
  | hasFirstInputDerivative() const | shark::AbstractKernelFunction< InputTypeT > | inline | 
  | hasFirstParameterDerivative() const | shark::AbstractKernelFunction< InputTypeT > | inline | 
  | InputType typedef | shark::AbstractKernelFunction< InputTypeT > |  | 
  | IS_NORMALIZED enum value | shark::AbstractKernelFunction< InputTypeT > |  | 
  | isNormalized() const | shark::AbstractKernelFunction< InputTypeT > | inline | 
  | load(InArchive &archive, unsigned int version) | shark::ISerializable | inline | 
  | m_base | shark::NormalizedKernel< InputType > | protected | 
  | m_features | shark::AbstractKernelFunction< InputTypeT > | protected | 
  | name() const | shark::NormalizedKernel< InputType > | inlinevirtual | 
  | NormalizedKernel(AbstractKernelFunction< InputType > *base) | shark::NormalizedKernel< InputType > | inline | 
  | numberOfParameters() const | shark::NormalizedKernel< InputType > | inlinevirtual | 
  | operator()(ConstInputReference x1, ConstInputReference x2) const | shark::AbstractKernelFunction< InputTypeT > | inline | 
  | operator()(ConstBatchInputReference batchX1, ConstBatchInputReference batchX2) const | shark::AbstractKernelFunction< InputTypeT > | inline | 
  | parameterVector() const | shark::NormalizedKernel< InputType > | inlinevirtual | 
  | ParameterVectorType typedef | shark::IParameterizable< VectorType > |  | 
  | read(InArchive &archive) | shark::AbstractMetric< InputTypeT > | inlinevirtual | 
  | save(OutArchive &archive, unsigned int version) const | shark::ISerializable | inline | 
  | setParameterVector(RealVector const &newParameters) | shark::NormalizedKernel< InputType > | inlinevirtual | 
  | SUPPORTS_VARIABLE_INPUT_SIZE enum value | shark::AbstractKernelFunction< InputTypeT > |  | 
  | supportsVariableInputSize() const | shark::AbstractKernelFunction< InputTypeT > | inline | 
  | updateFeatures() | shark::AbstractKernelFunction< InputTypeT > | inlinevirtual | 
  | weightedInputDerivative(ConstBatchInputReference const &batchX1, ConstBatchInputReference const &batchX2, RealMatrix const &coefficientsX2, State const &state, BatchInputType &gradient) const | shark::NormalizedKernel< InputType > | inline | 
  | shark::AbstractKernelFunction::weightedInputDerivative(ConstBatchInputReference batchX1, ConstBatchInputReference batchX2, RealMatrix const &coefficientsX2, State const &state, BatchInputType &gradient) const | shark::AbstractKernelFunction< InputTypeT > | inlinevirtual | 
  | weightedParameterDerivative(ConstBatchInputReference const &batchX1, ConstBatchInputReference const &batchX2, RealMatrix const &coefficients, State const &state, RealVector &gradient) const | shark::NormalizedKernel< InputType > | inline | 
  | shark::AbstractKernelFunction::weightedParameterDerivative(ConstBatchInputReference batchX1, ConstBatchInputReference batchX2, RealMatrix const &coefficients, State const &state, RealVector &gradient) const | shark::AbstractKernelFunction< InputTypeT > | inlinevirtual | 
  | write(OutArchive &archive) const | shark::AbstractMetric< InputTypeT > | inlinevirtual | 
  | ~AbstractMetric() | shark::AbstractMetric< InputTypeT > | inlinevirtual | 
  | ~INameable() | shark::INameable | inlinevirtual | 
  | ~IParameterizable() | shark::IParameterizable< VectorType > | inlinevirtual | 
  | ~ISerializable() | shark::ISerializable | inlinevirtual |