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shark::ISerializable Class Reference

Abstracts serializing functionality. More...

#include <shark/Core/ISerializable.h>

Inherited by shark::AbstractClustering< RealVector >, shark::AbstractKernelFunction< InputType >, shark::AbstractKernelFunction< KernelInputType >, shark::AbstractKernelFunction< shark::blas::compressed_vector >, shark::AbstractKernelFunction< std::size_t >, shark::AbstractModel< DataType, DataType >, shark::AbstractModel< InputT, OutputT >, shark::AbstractModel< InputT, RealVector >, shark::AbstractModel< InputT, unsigned int >, shark::AbstractModel< InputType, InputType >, shark::AbstractModel< InputType, IntermediateType >, shark::AbstractModel< InputType, OutputType >, shark::AbstractModel< InputType, RealVector >, shark::AbstractModel< InputType, unsigned int >, shark::AbstractModel< IntermediateType, OutputType >, shark::AbstractModel< RealVector, LabelType >, shark::AbstractModel< RealVector, RealVector >, shark::AbstractModel< RealVector, unsigned int >, shark::AbstractModel< Sequence, Sequence >, shark::AbstractModel< unsigned int, RealVector >, shark::AbstractOptimizer< SearchSpace, double, SingleObjectiveResultSet< SearchSpace::PointType > >, shark::AbstractOptimizer< SearchSpace, shark::RealVector, std::vector< ResultSet< SearchSpace::PointType, shark::RealVector > > >, shark::AbstractOptimizer< VectorSpace< double >, double, SingleObjectiveResultSet< VectorSpace< double >::PointType > >, shark::AbstractTrainer< CARTClassifier< RealVector >, RealVector >, shark::AbstractTrainer< CARTClassifier< RealVector >, unsigned int >, shark::AbstractTrainer< KernelExpansion< InputType >, RealVector >, shark::AbstractTrainer< KernelExpansion< InputType >, unsigned int >, shark::AbstractTrainer< LinearClassifier, unsigned int >, shark::AbstractTrainer< LinearModel< CompressedRealVector, RealVector >, unsigned int >, shark::AbstractTrainer< LinearModel< InputVectorType, RealVector > >, shark::AbstractTrainer< LinearModel<> >, shark::AbstractTrainer< LinearModel<>, unsigned int >, shark::AbstractTrainer< MissingFeaturesKernelExpansion< InputType >, unsigned int >, shark::AbstractTrainer< Model, LabelType >, shark::AbstractTrainer< NBClassifier< InputType, OutputType > >, shark::AbstractTrainer< RFClassifier >, shark::AbstractTrainer< RFClassifier, unsigned int >, shark::AbstractTrainer< SigmoidModel, unsigned int >, shark::AbstractUnsupervisedTrainer< KernelExpansion< InputType > >, shark::AbstractUnsupervisedTrainer< LinearModel< VectorType, VectorType > >, shark::AbstractUnsupervisedTrainer< LinearModel<> >, shark::AbstractUnsupervisedTrainer< Normalizer< DataType > >, shark::AbstractUnsupervisedTrainer< ScaledKernel< InputType > >, shark::Data< InputT >, shark::Data< InputType >, shark::Data< LabelT >, shark::Data< LabelType >, shark::Data< RealVector >, shark::Data< unsigned int >, shark::LabeledData< InputType, LabelType >, shark::LabeledData< InputType, unsigned int >, shark::LabeledData< RealVector, RealVector >, shark::detail::SharedContainer< InputT >, shark::detail::SharedContainer< InputType >, shark::detail::SharedContainer< LabelT >, shark::detail::SharedContainer< LabelType >, shark::detail::SharedContainer< RealVector >, shark::detail::SharedContainer< unsigned int >, shark::AbstractClustering< InputT >, shark::AbstractKernelFunction< InputTypeT >, shark::AbstractModel< InputTypeT, OutputTypeT >, shark::AbstractOptimizer< SearchSpaceT, ResultT, SetT >, shark::AbstractTrainer< Model, LabelTypeT >, shark::AbstractUnsupervisedTrainer< Model >, shark::BinaryLayer, shark::CSvmDerivative< InputType, CacheType >, shark::Data< Type >, shark::detail::SharedContainer< Type >, shark::GaussianLayer, shark::LabeledData< InputT, LabelT >, shark::LineSearch, shark::MultiTaskSample< InputTypeT >, shark::RecurrentStructure, shark::SharedVector< T >, shark::TruncatedExponentialLayer, shark::TypedFlags< Flag >, and shark::TypedFlags< Feature >.

+ Collaboration diagram for shark::ISerializable:

Public Member Functions

virtual ~ISerializable ()
 Virtual d'tor. More...
 
virtual void read (InArchive &archive)
 Read the component from the supplied archive. More...
 
virtual void write (OutArchive &archive) const
 Write the component to the supplied archive. More...
 
void load (InArchive &archive, unsigned int version)
 Versioned loading of components, calls read(...). More...
 
void save (OutArchive &archive, unsigned int version) const
 Versioned storing of components, calls write(...). More...
 
 BOOST_SERIALIZATION_SPLIT_MEMBER ()
 

Detailed Description

Abstracts serializing functionality.

In order to integrate alien serialization libraries with the components based on this interface, the classes boost::archive::polymorphic_iarchive and boost::archive::polymorphic_oarchive need to be implemented in terms of alien serialization library.

Definition at line 63 of file ISerializable.h.

Constructor & Destructor Documentation

virtual shark::ISerializable::~ISerializable ( )
inlinevirtual

Virtual d'tor.

Definition at line 68 of file ISerializable.h.

Member Function Documentation

shark::ISerializable::BOOST_SERIALIZATION_SPLIT_MEMBER ( )
void shark::ISerializable::load ( InArchive &  archive,
unsigned int  version 
)
inline

Versioned loading of components, calls read(...).

Definition at line 87 of file ISerializable.h.

References read().

virtual void shark::ISerializable::read ( InArchive &  archive)
inlinevirtual

Read the component from the supplied archive.

Parameters
[in,out]archiveThe archive to read from.

Reimplemented in shark::FFNet< HiddenNeuron, OutputNeuron >, shark::LabeledData< InputT, LabelT >, shark::LabeledData< InputType, unsigned int >, shark::LabeledData< RealVector, RealVector >, shark::LabeledData< InputType, LabelType >, shark::PointSearch, shark::ConcatenatedModel< InputType, OutputType >, shark::NestedGridSearch, shark::detail::SharedContainer< Type >, shark::detail::SharedContainer< RealVector >, shark::detail::SharedContainer< LabelType >, shark::detail::SharedContainer< InputT >, shark::detail::SharedContainer< unsigned int >, shark::detail::SharedContainer< InputType >, shark::detail::SharedContainer< LabelT >, shark::IRpropPlus, shark::WeightedSumKernel< InputType >, shark::KernelExpansion< InputType >, shark::RpropPlus, shark::PolynomialKernel< InputType >, shark::TruncatedExponentialLayer, shark::BinaryLayer, shark::GaussianLayer, shark::LinearModel< InputType, OutputType >, shark::Data< Type >, shark::Data< RealVector >, shark::Data< LabelType >, shark::Data< InputT >, shark::Data< unsigned int >, shark::Data< InputType >, shark::Data< LabelT >, shark::ARDKernelUnconstrained< InputType >, shark::Normalizer< DataType >, shark::CMA, shark::detail::LinearModelWrapper< Matrix, InputType, OutputType >, shark::detail::ConcatenatedModelWrapper< InputType, IntermediateType, OutputType >, shark::CSvmDerivative< InputType, CacheType >, shark::RBFNet, shark::RBM< VisibleLayerT, HiddenLayerT, RngT >, shark::QuickpropOriginal, shark::OneVersusOneClassifier< InputType >, shark::MonomialKernel< InputType >, shark::GridSearch, shark::SharedVector< T >, shark::CMSA, shark::AbstractClustering< InputT >, shark::AbstractClustering< RealVector >, shark::RecurrentStructure, shark::ProductKernel< InputType >, shark::CARTClassifier< LabelType >, shark::CARTClassifier< RealVector >, shark::LineSearch, shark::CMACMap, shark::ScaledKernel< InputType >, shark::AbstractModel< InputTypeT, OutputTypeT >, shark::AbstractModel< InputType, RealVector >, shark::AbstractModel< Sequence, Sequence >, shark::AbstractModel< InputType, IntermediateType >, shark::AbstractModel< InputT, OutputT >, shark::AbstractModel< DataType, DataType >, shark::AbstractModel< InputType, unsigned int >, shark::AbstractModel< RealVector, unsigned int >, shark::AbstractModel< RealVector, RealVector >, shark::AbstractModel< InputType, OutputType >, shark::AbstractModel< RealVector, LabelType >, shark::AbstractModel< IntermediateType, OutputType >, shark::AbstractModel< unsigned int, RealVector >, shark::AbstractModel< InputType, InputType >, shark::AbstractModel< InputT, RealVector >, shark::AbstractModel< InputT, unsigned int >, shark::RpropMinus, shark::NearestNeighborRegression< InputType >, shark::LBFGS, shark::LinearKernel< InputType >, shark::NearestNeighborClassifier< InputType >, shark::SoftNearestNeighborClassifier< InputType >, shark::DiscreteKernel, shark::GaussianRbfKernel< InputType >, shark::AbstractKernelFunction< InputTypeT >, shark::detail::MklKernelWrapper< InputType, N >, shark::AbstractKernelFunction< std::size_t >, shark::AbstractKernelFunction< shark::blas::compressed_vector >, shark::AbstractKernelFunction< InputType >, shark::AbstractKernelFunction< KernelInputType >, shark::TypedFlags< Flag >, shark::TypedFlags< Feature >, shark::detail::SubrangeKernelWrapper< InputType >, shark::SteepestDescent, shark::Softmax, shark::RFClassifier, shark::Centroids, shark::Quickprop, shark::OptimizationTrainer< Model, LabelTypeT >, shark::SigmoidModel, shark::OnePlusOneES, shark::LinearClassifier, shark::ClusteringModel< InputT, OutputT >, shark::ClusteringModel< InputT, RealVector >, shark::ClusteringModel< InputT, unsigned int >, shark::detail::LinearModelWrapperBase< InputType, OutputType >, shark::BFGS, shark::LinearNorm, shark::CG, and shark::MultiTaskSample< InputTypeT >.

Definition at line 74 of file ISerializable.h.

Referenced by load().

void shark::ISerializable::save ( OutArchive &  archive,
unsigned int  version 
) const
inline

Versioned storing of components, calls write(...).

Definition at line 96 of file ISerializable.h.

References write().

virtual void shark::ISerializable::write ( OutArchive &  archive) const
inlinevirtual

Write the component to the supplied archive.

Parameters
[in,out]archiveThe archive to write to.

Reimplemented in shark::FFNet< HiddenNeuron, OutputNeuron >, shark::LabeledData< InputT, LabelT >, shark::LabeledData< InputType, unsigned int >, shark::LabeledData< RealVector, RealVector >, shark::LabeledData< InputType, LabelType >, shark::PointSearch, shark::ConcatenatedModel< InputType, OutputType >, shark::NestedGridSearch, shark::detail::SharedContainer< Type >, shark::detail::SharedContainer< RealVector >, shark::detail::SharedContainer< LabelType >, shark::detail::SharedContainer< InputT >, shark::detail::SharedContainer< unsigned int >, shark::detail::SharedContainer< InputType >, shark::detail::SharedContainer< LabelT >, shark::IRpropPlus, shark::WeightedSumKernel< InputType >, shark::KernelExpansion< InputType >, shark::PolynomialKernel< InputType >, shark::RpropPlus, shark::TruncatedExponentialLayer, shark::BinaryLayer, shark::GaussianLayer, shark::LinearModel< InputType, OutputType >, shark::ARDKernelUnconstrained< InputType >, shark::Data< Type >, shark::Data< RealVector >, shark::Data< LabelType >, shark::Data< InputT >, shark::Data< unsigned int >, shark::Data< InputType >, shark::Data< LabelT >, shark::Normalizer< DataType >, shark::RBM< VisibleLayerT, HiddenLayerT, RngT >, shark::detail::ConcatenatedModelWrapper< InputType, IntermediateType, OutputType >, shark::detail::LinearModelWrapper< Matrix, InputType, OutputType >, shark::CSvmDerivative< InputType, CacheType >, shark::CMA, shark::RBFNet, shark::OneVersusOneClassifier< InputType >, shark::QuickpropOriginal, shark::GridSearch, shark::SharedVector< T >, shark::MonomialKernel< InputType >, shark::CMSA, shark::AbstractClustering< InputT >, shark::AbstractClustering< RealVector >, shark::RecurrentStructure, shark::ProductKernel< InputType >, shark::LineSearch, shark::LBFGS, shark::AbstractModel< InputTypeT, OutputTypeT >, shark::AbstractModel< InputType, RealVector >, shark::AbstractModel< Sequence, Sequence >, shark::AbstractModel< InputType, IntermediateType >, shark::AbstractModel< InputT, OutputT >, shark::AbstractModel< DataType, DataType >, shark::AbstractModel< InputType, unsigned int >, shark::AbstractModel< RealVector, unsigned int >, shark::AbstractModel< RealVector, RealVector >, shark::AbstractModel< InputType, OutputType >, shark::AbstractModel< RealVector, LabelType >, shark::AbstractModel< IntermediateType, OutputType >, shark::AbstractModel< unsigned int, RealVector >, shark::AbstractModel< InputType, InputType >, shark::AbstractModel< InputT, RealVector >, shark::AbstractModel< InputT, unsigned int >, shark::ScaledKernel< InputType >, shark::CMACMap, shark::NearestNeighborRegression< InputType >, shark::RpropMinus, shark::NearestNeighborClassifier< InputType >, shark::SoftNearestNeighborClassifier< InputType >, shark::AbstractKernelFunction< InputTypeT >, shark::AbstractKernelFunction< std::size_t >, shark::AbstractKernelFunction< shark::blas::compressed_vector >, shark::AbstractKernelFunction< InputType >, shark::AbstractKernelFunction< KernelInputType >, shark::DiscreteKernel, shark::LinearKernel< InputType >, shark::GaussianRbfKernel< InputType >, shark::detail::MklKernelWrapper< InputType, N >, shark::TypedFlags< Flag >, shark::TypedFlags< Feature >, shark::detail::SubrangeKernelWrapper< InputType >, shark::SteepestDescent, shark::Softmax, shark::RFClassifier, shark::Centroids, shark::OptimizationTrainer< Model, LabelTypeT >, shark::Quickprop, shark::SigmoidModel, shark::OnePlusOneES, shark::LinearClassifier, shark::ClusteringModel< InputT, OutputT >, shark::ClusteringModel< InputT, RealVector >, shark::ClusteringModel< InputT, unsigned int >, shark::detail::LinearModelWrapperBase< InputType, OutputType >, shark::BFGS, shark::LinearNorm, shark::CG, and shark::MultiTaskSample< InputTypeT >.

Definition at line 81 of file ISerializable.h.

Referenced by save().

The documentation for this class was generated from the following file: