AbstractModel() | shark::AbstractModel< ModelType::InputType, ModelType::OutputType > | inline |
addModel(ModelType const &model, double weight=1.0) | shark::MeanModel< ModelType > | inline |
BatchInputType typedef | shark::AbstractModel< ModelType::InputType, ModelType::OutputType > | |
BatchOutputType typedef | shark::AbstractModel< ModelType::InputType, ModelType::OutputType > | |
BOOST_SERIALIZATION_SPLIT_MEMBER() | shark::ISerializable | |
clearModels() | shark::MeanModel< ModelType > | inline |
createState() const | shark::AbstractModel< ModelType::InputType, ModelType::OutputType > | inlinevirtual |
eval(typename base_type::BatchInputType const &patterns, typename base_type::BatchOutputType &outputs) const | shark::MeanModel< ModelType > | inline |
eval(typename base_type::BatchInputType const &patterns, typename base_type::BatchOutputType &outputs, State &state) const | shark::MeanModel< ModelType > | inline |
AbstractModel< ModelType::InputType, ModelType::OutputType >::eval(BatchInputType const &patterns, BatchOutputType &outputs) const | shark::AbstractModel< ModelType::InputType, ModelType::OutputType > | inlinevirtual |
AbstractModel< ModelType::InputType, ModelType::OutputType >::eval(BatchInputType const &patterns, BatchOutputType &outputs, State &state) const=0 | shark::AbstractModel< ModelType::InputType, ModelType::OutputType > | pure virtual |
AbstractModel< ModelType::InputType, ModelType::OutputType >::eval(InputType const &pattern, OutputType &output) const | shark::AbstractModel< ModelType::InputType, ModelType::OutputType > | inlinevirtual |
Feature enum name | shark::AbstractModel< ModelType::InputType, ModelType::OutputType > | |
FeatureNotAvailableException typedef | shark::AbstractModel< ModelType::InputType, ModelType::OutputType > | |
Features typedef | shark::AbstractModel< ModelType::InputType, ModelType::OutputType > | |
features() const | shark::AbstractModel< ModelType::InputType, ModelType::OutputType > | inline |
HAS_FIRST_INPUT_DERIVATIVE enum value | shark::AbstractModel< ModelType::InputType, ModelType::OutputType > | |
HAS_FIRST_PARAMETER_DERIVATIVE enum value | shark::AbstractModel< ModelType::InputType, ModelType::OutputType > | |
HAS_SECOND_INPUT_DERIVATIVE enum value | shark::AbstractModel< ModelType::InputType, ModelType::OutputType > | |
HAS_SECOND_PARAMETER_DERIVATIVE enum value | shark::AbstractModel< ModelType::InputType, ModelType::OutputType > | |
hasFirstInputDerivative() const | shark::AbstractModel< ModelType::InputType, ModelType::OutputType > | inline |
hasFirstParameterDerivative() const | shark::AbstractModel< ModelType::InputType, ModelType::OutputType > | inline |
hasSecondInputDerivative() const | shark::AbstractModel< ModelType::InputType, ModelType::OutputType > | inline |
hasSecondParameterDerivative() const | shark::AbstractModel< ModelType::InputType, ModelType::OutputType > | inline |
InputType typedef | shark::AbstractModel< ModelType::InputType, ModelType::OutputType > | |
IS_SEQUENTIAL enum value | shark::AbstractModel< ModelType::InputType, ModelType::OutputType > | |
isSequential() const | shark::AbstractModel< ModelType::InputType, ModelType::OutputType > | inline |
load(InArchive &archive, unsigned int version) | shark::ISerializable | inline |
m_features | shark::AbstractModel< ModelType::InputType, ModelType::OutputType > | protected |
m_models | shark::MeanModel< ModelType > | protected |
m_weight | shark::MeanModel< ModelType > | protected |
m_weightSum | shark::MeanModel< ModelType > | protected |
MeanModel() | shark::MeanModel< ModelType > | inline |
name() const | shark::MeanModel< ModelType > | inlinevirtual |
numberOfModels() const | shark::MeanModel< ModelType > | inline |
numberOfParameters() const | shark::IParameterizable | inlinevirtual |
operator()(Data< InputType > const &patterns) const | shark::AbstractModel< ModelType::InputType, ModelType::OutputType > | inline |
operator()(InputType const &pattern) const | shark::AbstractModel< ModelType::InputType, ModelType::OutputType > | inline |
operator()(BatchInputType const &patterns) const | shark::AbstractModel< ModelType::InputType, ModelType::OutputType > | inline |
OutputType typedef | shark::AbstractModel< ModelType::InputType, ModelType::OutputType > | |
parameterVector() const | shark::MeanModel< ModelType > | inlinevirtual |
read(InArchive &archive) | shark::MeanModel< ModelType > | inlinevirtual |
save(OutArchive &archive, unsigned int version) const | shark::ISerializable | inline |
setParameterVector(const RealVector ¶m) | shark::MeanModel< ModelType > | inlinevirtual |
setWeight(std::size_t i, double newWeight) | shark::MeanModel< ModelType > | inline |
updateFeatures() | shark::AbstractModel< ModelType::InputType, ModelType::OutputType > | inlinevirtual |
weight(std::size_t i) const | shark::MeanModel< ModelType > | inline |
weightedDerivatives(BatchInputType const &patterns, BatchOutputType const &coefficients, State const &state, RealVector ¶meterDerivative, BatchInputType &inputDerivative) const | shark::AbstractModel< ModelType::InputType, ModelType::OutputType > | inlinevirtual |
weightedInputDerivative(BatchInputType const &pattern, BatchOutputType const &coefficients, State const &state, BatchInputType &derivative) const | shark::AbstractModel< ModelType::InputType, ModelType::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< ModelType::InputType, ModelType::OutputType > | inlinevirtual |
weightedParameterDerivative(BatchInputType const &pattern, BatchOutputType const &coefficients, State const &state, RealVector &derivative) const | shark::AbstractModel< ModelType::InputType, ModelType::OutputType > | inlinevirtual |
weightedParameterDerivative(BatchInputType const &pattern, BatchOutputType const &coefficients, Batch< RealMatrix >::type const &errorHessian, State const &state, RealVector &derivative, RealMatrix &hessian) const | shark::AbstractModel< ModelType::InputType, ModelType::OutputType > | inlinevirtual |
write(OutArchive &archive) const | shark::MeanModel< ModelType > | inlinevirtual |
~AbstractModel() | shark::AbstractModel< ModelType::InputType, ModelType::OutputType > | inlinevirtual |
~INameable() | shark::INameable | inlinevirtual |
~IParameterizable() | shark::IParameterizable | inlinevirtual |
~ISerializable() | shark::ISerializable | inlinevirtual |