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shark::ISerializable Class Reference

Abstracts serializing functionality. More...

#include <shark/Core/ISerializable.h>

+ Inheritance diagram for shark::ISerializable:

Public Member Functions

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

Constructor & Destructor Documentation

◆ ~ISerializable()

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

Virtual d'tor.

Definition at line 96 of file ISerializable.h.

Member Function Documentation

◆ BOOST_SERIALIZATION_SPLIT_MEMBER()

shark::ISerializable::BOOST_SERIALIZATION_SPLIT_MEMBER ( )

◆ load()

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

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

Definition at line 115 of file ISerializable.h.

References read().

◆ 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::ARDKernelUnconstrained< InputType >, shark::DiscreteKernel, shark::GaussianRbfKernel< InputType >, shark::LinearKernel< InputType >, shark::MonomialKernel< InputType >, shark::MultiTaskSample< InputTypeT >, shark::GaussianTaskKernel< InputTypeT >, shark::PolynomialKernel< InputType >, shark::ProductKernel< InputType >, shark::ProductKernel< MultiTaskSample< InputTypeT > >, shark::ScaledKernel< InputType >, shark::WeightedSumKernel< InputType >, shark::WeightedSumKernel< InputType >, shark::CMA, shark::CMSA, shark::CrossEntropyMethod, shark::ElitistCMA, shark::GridSearch, shark::NestedGridSearch, shark::PointSearch, shark::IndicatorBasedMOCMA< Indicator >, shark::IndicatorBasedRealCodedNSGAII< Indicator >, shark::IndicatorBasedRealCodedNSGAII< NSGA3Indicator >, shark::SimplexDownhill, shark::SMSEMOA, shark::IndicatorBasedSteadyStateMOCMA< Indicator >, shark::AbstractLineSearchOptimizer< SearchPointType >, shark::AbstractLineSearchOptimizer< RealVector >, shark::Adam< SearchPointType >, shark::BFGS< SearchPointType >, shark::CG< SearchPointType >, shark::LBFGS< SearchPointType >, shark::LineSearch< SearchPointType >, shark::LineSearch< RealVector >, shark::Rprop< SearchPointType >, shark::SteepestDescent< SearchPointType >, shark::OptimizationTrainer< Model, LabelTypeT >, shark::TypedFlags< Flag >, shark::TypedFlags< Feature >, shark::Data< Type >, shark::Data< InputT >, shark::Data< InputType >, shark::Data< LabelT >, shark::Data< LabelType >, shark::Data< RealVector >, shark::Data< SearchPointType >, shark::Data< shark::MultiTaskSample >, shark::Data< unsigned int >, shark::LabeledData< InputT, LabelT >, shark::LabeledData< InputType, LabelType >, shark::LabeledData< InputType, unsigned int >, shark::LabeledData< RealVector, RealVector >, shark::LabeledData< RealVector, unsigned int >, shark::AbstractModel< InputTypeT, OutputTypeT, ParameterVectorType >, shark::AbstractModel< InputT, OutputT >, shark::AbstractModel< InputT, RealVector >, shark::AbstractModel< InputT, unsigned int >, shark::AbstractModel< InputType, RealVector >, shark::AbstractModel< InputType, unsigned int, RealVector >, shark::AbstractModel< Model::InputType, unsigned int, Model::ParameterVectorType >, shark::AbstractModel< RealVector, LabelType >, shark::AbstractModel< RealVector, RealVector >, shark::AbstractModel< RealVector, RealVector, RealVector >, shark::AbstractModel< VectorType, VectorType, VectorType >, shark::Classifier< Model >, shark::Classifier< detail::BaseNearestNeighbor< InputType, unsigned int > >, shark::Classifier< KernelExpansion< InputType > >, shark::Classifier< LinearModel< RealVector > >, shark::AbstractClustering< InputT >, shark::AbstractClustering< RealVector >, shark::Centroids, shark::ClusteringModel< InputT, OutputT >, shark::ClusteringModel< InputT, RealVector >, shark::ClusteringModel< InputT, unsigned int >, shark::CMACMap, shark::ConcatenatedModel< VectorType >, shark::Conv2DModel< VectorType, ActivationFunction >, shark::DropoutLayer< VectorType >, shark::AbstractMetric< InputTypeT >, shark::AbstractMetric< InputType >, shark::AbstractMetric< MultiTaskSample< InputTypeT > >, shark::AbstractMetric< RealVector >, shark::AbstractMetric< std::size_t >, shark::CSvmDerivative< InputType, CacheType >, shark::KernelExpansion< InputType >, shark::LinearModel< InputType, ActivationFunction >, shark::LinearModel< RealVector >, shark::NeuronLayer< NeuronType, VectorType >, shark::Normalizer< VectorType >, shark::OneVersusOneClassifier< InputType, VectorType >, shark::PoolingLayer< VectorType >, shark::RBFLayer, shark::ResizeLayer< VectorType >, shark::CARTree< LabelType >, shark::BinaryLayer, shark::BipolarLayer, shark::GaussianLayer, and shark::RBM< VisibleLayerT, HiddenLayerT, randomT >.

Definition at line 102 of file ISerializable.h.

Referenced by load().

◆ save()

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

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

Definition at line 124 of file ISerializable.h.

References write().

◆ 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::ARDKernelUnconstrained< InputType >, shark::DiscreteKernel, shark::GaussianRbfKernel< InputType >, shark::LinearKernel< InputType >, shark::ModelKernel< InputType >, shark::MonomialKernel< InputType >, shark::MultiTaskSample< InputTypeT >, shark::GaussianTaskKernel< InputTypeT >, shark::PolynomialKernel< InputType >, shark::ProductKernel< InputType >, shark::ProductKernel< MultiTaskSample< InputTypeT > >, shark::ScaledKernel< InputType >, shark::WeightedSumKernel< InputType >, shark::WeightedSumKernel< InputType >, shark::CMA, shark::CMSA, shark::CrossEntropyMethod, shark::ElitistCMA, shark::GridSearch, shark::NestedGridSearch, shark::PointSearch, shark::IndicatorBasedMOCMA< Indicator >, shark::IndicatorBasedRealCodedNSGAII< Indicator >, shark::IndicatorBasedRealCodedNSGAII< NSGA3Indicator >, shark::SimplexDownhill, shark::SMSEMOA, shark::IndicatorBasedSteadyStateMOCMA< Indicator >, shark::AbstractLineSearchOptimizer< SearchPointType >, shark::AbstractLineSearchOptimizer< RealVector >, shark::Adam< SearchPointType >, shark::BFGS< SearchPointType >, shark::CG< SearchPointType >, shark::LBFGS< SearchPointType >, shark::LineSearch< SearchPointType >, shark::LineSearch< RealVector >, shark::Rprop< SearchPointType >, shark::SteepestDescent< SearchPointType >, shark::OptimizationTrainer< Model, LabelTypeT >, shark::TypedFlags< Flag >, shark::TypedFlags< Feature >, shark::Data< Type >, shark::Data< InputT >, shark::Data< InputType >, shark::Data< LabelT >, shark::Data< LabelType >, shark::Data< RealVector >, shark::Data< SearchPointType >, shark::Data< shark::MultiTaskSample >, shark::Data< unsigned int >, shark::LabeledData< InputT, LabelT >, shark::LabeledData< InputType, LabelType >, shark::LabeledData< InputType, unsigned int >, shark::LabeledData< RealVector, RealVector >, shark::LabeledData< RealVector, unsigned int >, shark::AbstractModel< InputTypeT, OutputTypeT, ParameterVectorType >, shark::AbstractModel< InputT, OutputT >, shark::AbstractModel< InputT, RealVector >, shark::AbstractModel< InputT, unsigned int >, shark::AbstractModel< InputType, RealVector >, shark::AbstractModel< InputType, unsigned int, RealVector >, shark::AbstractModel< Model::InputType, unsigned int, Model::ParameterVectorType >, shark::AbstractModel< RealVector, LabelType >, shark::AbstractModel< RealVector, RealVector >, shark::AbstractModel< RealVector, RealVector, RealVector >, shark::AbstractModel< VectorType, VectorType, VectorType >, shark::Classifier< Model >, shark::Classifier< detail::BaseNearestNeighbor< InputType, unsigned int > >, shark::Classifier< KernelExpansion< InputType > >, shark::Classifier< LinearModel< RealVector > >, shark::AbstractClustering< InputT >, shark::AbstractClustering< RealVector >, shark::Centroids, shark::ClusteringModel< InputT, OutputT >, shark::ClusteringModel< InputT, RealVector >, shark::ClusteringModel< InputT, unsigned int >, shark::CMACMap, shark::ConcatenatedModel< VectorType >, shark::Conv2DModel< VectorType, ActivationFunction >, shark::DropoutLayer< VectorType >, shark::AbstractMetric< InputTypeT >, shark::AbstractMetric< InputType >, shark::AbstractMetric< MultiTaskSample< InputTypeT > >, shark::AbstractMetric< RealVector >, shark::AbstractMetric< std::size_t >, shark::CSvmDerivative< InputType, CacheType >, shark::KernelExpansion< InputType >, shark::LinearModel< InputType, ActivationFunction >, shark::LinearModel< RealVector >, shark::NeuronLayer< NeuronType, VectorType >, shark::Normalizer< VectorType >, shark::OneVersusOneClassifier< InputType, VectorType >, shark::PoolingLayer< VectorType >, shark::RBFLayer, shark::ResizeLayer< VectorType >, shark::CARTree< LabelType >, shark::BinaryLayer, shark::BipolarLayer, shark::GaussianLayer, and shark::RBM< VisibleLayerT, HiddenLayerT, randomT >.

Definition at line 109 of file ISerializable.h.

Referenced by save().

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