#include <shark/Algorithms/Trainers/CSvmTrainer.h>
Public Types | |
typedef CacheType | QpFloatType |
typedef RegularizedKernelMatrix< InputType, QpFloatType > | KernelMatrixType |
typedef CachedMatrix< KernelMatrixType > | CachedMatrixType |
typedef PrecomputedMatrix< KernelMatrixType > | PrecomputedMatrixType |
typedef AbstractModel< InputType, RealVector > | ModelType |
typedef AbstractKernelFunction< InputType > | KernelType |
Public Types inherited from shark::AbstractSvmTrainer< InputType, unsigned int > | |
typedef AbstractKernelFunction< InputType > | KernelType |
Public Types inherited from shark::AbstractTrainer< Model, LabelTypeT > | |
typedef Model | ModelType |
typedef ModelType::InputType | InputType |
typedef LabelTypeT | LabelType |
typedef LabeledData< InputType, LabelType > | DatasetType |
Public Types inherited from shark::IParameterizable<> | |
typedef RealVector | ParameterVectorType |
Public Member Functions | |
SquaredHingeCSvmTrainer (KernelType *kernel, double C, bool unconstrained=false) | |
SquaredHingeCSvmTrainer (KernelType *kernel, double negativeC, double positiveC, bool unconstrained=false) | |
std::string | name () const |
From INameable: return the class name. More... | |
void | train (KernelClassifier< InputType > &svm, LabeledData< InputType, unsigned int > const &dataset) |
Train the C-SVM. More... | |
Public Member Functions inherited from shark::AbstractSvmTrainer< InputType, unsigned int > | |
AbstractSvmTrainer (KernelType *kernel, double C, bool offset, bool unconstrained=false) | |
AbstractSvmTrainer (KernelType *kernel, double negativeC, double positiveC, bool offset, bool unconstrained=false) | |
double | C () const |
Return the value of the regularization parameter C. More... | |
void | setC (double C) |
Set the value of the regularization parameter C. More... | |
RealVector const & | regularizationParameters () const |
void | setRegularizationParameters (RealVector const ®ularizers) |
Set the value of the regularization parameter C. More... | |
KernelType * | kernel () |
KernelType const * | kernel () const |
void | setKernel (KernelType *kernel) |
bool | isUnconstrained () const |
bool | trainOffset () const |
std::size_t | cacheSize () const |
void | setCacheSize (std::size_t size) |
RealVector | parameterVector () const |
get the hyper-parameter vector More... | |
void | setParameterVector (RealVector const &newParameters) |
set the vector of hyper-parameters More... | |
size_t | numberOfParameters () const |
return the number of hyper-parameters More... | |
Public Member Functions inherited from shark::AbstractTrainer< Model, LabelTypeT > | |
virtual void | train (ModelType &model, DatasetType const &dataset)=0 |
Core of the Trainer interface. More... | |
Public Member Functions inherited from shark::INameable | |
virtual | ~INameable () |
Public Member Functions inherited from shark::ISerializable | |
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 () | |
Public Member Functions inherited from shark::QpConfig | |
QpConfig (bool precomputedFlag=false, bool sparsifyFlag=true) | |
Constructor. More... | |
QpStoppingCondition & | stoppingCondition () |
Read/write access to the stopping condition. More... | |
QpStoppingCondition const & | stoppingCondition () const |
Read access to the stopping condition. More... | |
QpSolutionProperties & | solutionProperties () |
Access to the solution properties. More... | |
bool & | precomputeKernel () |
Flag for using a precomputed kernel matrix. More... | |
bool const & | precomputeKernel () const |
Flag for using a precomputed kernel matrix. More... | |
bool & | sparsify () |
Flag for sparsifying the model after training. More... | |
bool const & | sparsify () const |
Flag for sparsifying the model after training. More... | |
bool & | shrinking () |
Flag for shrinking in the decomposition solver. More... | |
bool const & | shrinking () const |
Flag for shrinking in the decomposition solver. More... | |
bool & | s2do () |
Flag for S2DO (instead of SMO) More... | |
bool const & | s2do () const |
Flag for S2DO (instead of SMO) More... | |
unsigned int & | verbosity () |
Verbosity level of the solver. More... | |
unsigned int const & | verbosity () const |
Verbosity level of the solver. More... | |
unsigned long long const & | accessCount () const |
Number of kernel accesses. More... | |
void | setMinAccuracy (double a) |
void | setMaxIterations (unsigned long long i) |
void | setTargetValue (double v) |
void | setMaxSeconds (double s) |
Public Member Functions inherited from shark::IParameterizable<> | |
virtual | ~IParameterizable () |
Additional Inherited Members | |
Protected Attributes inherited from shark::AbstractSvmTrainer< InputType, unsigned int > | |
KernelType * | m_kernel |
RealVector | m_regularizers |
Vector of regularization parameters. More... | |
bool | m_trainOffset |
bool | m_unconstrained |
Is log(C) stored internally as a parameter instead of C? If yes, then we get rid of the constraint C > 0 on the level of the parameter interface. More... | |
std::size_t | m_cacheSize |
Number of values in the kernel cache. The size of the cache in bytes is the size of one entry (4 for float, 8 for double) times this number. More... | |
Protected Attributes inherited from shark::QpConfig | |
QpStoppingCondition | m_stoppingcondition |
conditions for when to stop the QP solver More... | |
QpSolutionProperties | m_solutionproperties |
properties of the approximate solution found by the solver More... | |
bool | m_precomputedKernelMatrix |
should the solver use a precomputed kernel matrix? More... | |
bool | m_sparsify |
should the trainer sparsify the model after training? More... | |
bool | m_shrinking |
should shrinking be used? More... | |
bool | m_s2do |
should S2DO be used instead of SMO? More... | |
unsigned int | m_verbosity |
verbosity level (currently unused) More... | |
unsigned long long | m_accessCount |
kernel access count More... | |
Definition at line 936 of file CSvmTrainer.h.
typedef CachedMatrix< KernelMatrixType > shark::SquaredHingeCSvmTrainer< InputType, CacheType >::CachedMatrixType |
Definition at line 942 of file CSvmTrainer.h.
typedef RegularizedKernelMatrix<InputType, QpFloatType> shark::SquaredHingeCSvmTrainer< InputType, CacheType >::KernelMatrixType |
Definition at line 941 of file CSvmTrainer.h.
typedef AbstractKernelFunction<InputType> shark::SquaredHingeCSvmTrainer< InputType, CacheType >::KernelType |
Definition at line 946 of file CSvmTrainer.h.
typedef AbstractModel<InputType, RealVector> shark::SquaredHingeCSvmTrainer< InputType, CacheType >::ModelType |
Definition at line 945 of file CSvmTrainer.h.
typedef PrecomputedMatrix< KernelMatrixType > shark::SquaredHingeCSvmTrainer< InputType, CacheType >::PrecomputedMatrixType |
Definition at line 943 of file CSvmTrainer.h.
typedef CacheType shark::SquaredHingeCSvmTrainer< InputType, CacheType >::QpFloatType |
Definition at line 939 of file CSvmTrainer.h.
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inline |
Constructor
kernel | kernel function to use for training and prediction |
C | regularization parameter - always the 'true' value of C, even when unconstrained is set |
unconstrained | when a C-value is given via setParameter, should it be piped through the exp-function before using it in the solver?? |
Definition at line 953 of file CSvmTrainer.h.
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inline |
Constructor
kernel | kernel function to use for training and prediction |
negativeC | regularization parameter of the negative class (label 0) |
positiveC | regularization parameter of the positive class (label 1) |
unconstrained | when a C-value is given via setParameter, should it be piped through the exp-function before using it in the solver? |
Definition at line 962 of file CSvmTrainer.h.
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inlinevirtual |
From INameable: return the class name.
Reimplemented from shark::INameable.
Definition at line 967 of file CSvmTrainer.h.
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inline |
Train the C-SVM.
Definition at line 971 of file CSvmTrainer.h.
References shark::Classifier< KernelExpansion< InputType > >::decisionFunction(), shark::LabeledData< InputT, LabelT >::element(), shark::LabeledData< InputT, LabelT >::inputs(), shark::LabeledData< InputT, LabelT >::labels(), shark::LabeledData< InputT, LabelT >::numberOfElements(), shark::QpConfig::precomputeKernel(), and shark::QpSolver< Problem, SelectionStrategy >::solve().