| AbstractDistPtr typedef | shark::NBClassifier< InputType, OutputType > | |
| AbstractModel() | shark::AbstractModel< InputType, OutputType > | inline |
| BatchInputType typedef | shark::NBClassifier< InputType, OutputType > | |
| BatchOutputType typedef | shark::NBClassifier< InputType, OutputType > | |
| BOOST_SERIALIZATION_SPLIT_MEMBER() | shark::ISerializable | |
| ClassPriorsType typedef | shark::NBClassifier< InputType, OutputType > | |
| createState() const | shark::NBClassifier< InputType, OutputType > | inlinevirtual |
| DistSizeType typedef | shark::NBClassifier< InputType, OutputType > | |
| eval(BatchInputType const &patterns, BatchOutputType &outputs, State &state) const | shark::NBClassifier< InputType, OutputType > | inlinevirtual |
| AbstractModel< InputType, OutputType >::eval(BatchInputType const &patterns, BatchOutputType &outputs) const | shark::AbstractModel< InputType, OutputType > | inlinevirtual |
| AbstractModel< InputType, OutputType >::eval(InputType const &pattern, OutputType &output) const | shark::AbstractModel< InputType, OutputType > | inlinevirtual |
| Feature enum name | shark::AbstractModel< InputType, OutputType > | |
| FeatureDistributionsType typedef | shark::NBClassifier< InputType, OutputType > | |
| FeatureNotAvailableException typedef | shark::AbstractModel< InputType, OutputType > | |
| Features typedef | shark::AbstractModel< InputType, OutputType > | |
| features() const | shark::AbstractModel< InputType, OutputType > | inline |
| getDistSize() const | shark::NBClassifier< InputType, OutputType > | inline |
| getFeatureDist(std::size_t classIndex, std::size_t featureIndex) const | shark::NBClassifier< InputType, OutputType > | inline |
| HAS_FIRST_INPUT_DERIVATIVE enum value | shark::AbstractModel< InputType, OutputType > | |
| HAS_FIRST_PARAMETER_DERIVATIVE enum value | shark::AbstractModel< InputType, OutputType > | |
| HAS_SECOND_INPUT_DERIVATIVE enum value | shark::AbstractModel< InputType, OutputType > | |
| HAS_SECOND_PARAMETER_DERIVATIVE enum value | shark::AbstractModel< InputType, OutputType > | |
| hasFirstInputDerivative() const | shark::AbstractModel< InputType, OutputType > | inline |
| hasFirstParameterDerivative() const | shark::AbstractModel< InputType, OutputType > | inline |
| hasSecondInputDerivative() const | shark::AbstractModel< InputType, OutputType > | inline |
| hasSecondParameterDerivative() const | shark::AbstractModel< InputType, OutputType > | inline |
| InputType typedef | shark::AbstractModel< InputType, OutputType > | |
| IS_SEQUENTIAL enum value | shark::AbstractModel< InputType, OutputType > | |
| isSequential() const | shark::AbstractModel< InputType, OutputType > | inline |
| load(InArchive &archive, unsigned int version) | shark::ISerializable | inline |
| m_classPriors | shark::NBClassifier< InputType, OutputType > | protected |
| m_featureDistributions | shark::NBClassifier< InputType, OutputType > | protected |
| m_features | shark::AbstractModel< InputType, OutputType > | protected |
| name() const | shark::NBClassifier< InputType, OutputType > | inlinevirtual |
| NBClassifier(std::size_t classSize, std::size_t featureSize) | shark::NBClassifier< InputType, OutputType > | inline |
| NBClassifier(FeatureDistributionsType const &featureDists) | shark::NBClassifier< InputType, OutputType > | inlineexplicit |
| numberOfParameters() const | shark::IParameterizable | inlinevirtual |
| operator()(Data< InputType > const &patterns) const | shark::AbstractModel< InputType, OutputType > | inline |
| operator()(InputType const &pattern) const | shark::AbstractModel< InputType, OutputType > | inline |
| operator()(BatchInputType const &patterns) const | shark::AbstractModel< InputType, OutputType > | inline |
| OutputType typedef | shark::AbstractModel< InputType, OutputType > | |
| parameterVector() const | shark::NBClassifier< InputType, OutputType > | inlinevirtual |
| read(InArchive &archive) | shark::AbstractModel< InputType, OutputType > | inlinevirtual |
| save(OutArchive &archive, unsigned int version) const | shark::ISerializable | inline |
| setClassPrior(OutputType classToAdd, double probability) | shark::NBClassifier< InputType, OutputType > | inline |
| setParameterVector(const RealVector ¶m) | shark::NBClassifier< InputType, OutputType > | inlinevirtual |
| updateFeatures() | shark::AbstractModel< InputType, OutputType > | inlinevirtual |
| weightedDerivatives(BatchInputType const &patterns, BatchOutputType const &coefficients, State const &state, RealVector ¶meterDerivative, BatchInputType &inputDerivative) const | shark::AbstractModel< InputType, OutputType > | inlinevirtual |
| weightedInputDerivative(BatchInputType const &pattern, BatchOutputType const &coefficients, State const &state, BatchInputType &derivative) const | shark::AbstractModel< InputType, OutputType > | inlinevirtual |
| weightedInputDerivative(BatchInputType const &pattern, BatchOutputType const &coefficients, typename Batch< RealMatrix >::type const &errorHessian, State const &state, RealMatrix &derivative, Batch< RealMatrix >::type &hessian) const | shark::AbstractModel< InputType, OutputType > | inlinevirtual |
| weightedParameterDerivative(BatchInputType const &pattern, BatchOutputType const &coefficients, State const &state, RealVector &derivative) const | shark::AbstractModel< InputType, OutputType > | inlinevirtual |
| weightedParameterDerivative(BatchInputType const &pattern, BatchOutputType const &coefficients, Batch< RealMatrix >::type const &errorHessian, State const &state, RealVector &derivative, RealMatrix &hessian) const | shark::AbstractModel< InputType, OutputType > | inlinevirtual |
| write(OutArchive &archive) const | shark::AbstractModel< InputType, OutputType > | inlinevirtual |
| ~AbstractModel() | shark::AbstractModel< InputType, OutputType > | inlinevirtual |
| ~INameable() | shark::INameable | inlinevirtual |
| ~IParameterizable() | shark::IParameterizable | inlinevirtual |
| ~ISerializable() | shark::ISerializable | inlinevirtual |