shark::KernelSGDTrainer< InputType, CacheType > Member List

This is the complete list of members for shark::KernelSGDTrainer< InputType, CacheType >, including all inherited members.

BOOST_SERIALIZATION_SPLIT_MEMBER()shark::ISerializable
C() constshark::KernelSGDTrainer< InputType, CacheType >inline
cacheSize() constshark::KernelSGDTrainer< InputType, CacheType >inline
ClassifierType typedefshark::KernelSGDTrainer< InputType, CacheType >
ConstBatchInputReference typedefshark::KernelSGDTrainer< InputType, CacheType >
DatasetType typedefshark::AbstractTrainer< KernelClassifier< InputType > >
epochs() constshark::KernelSGDTrainer< InputType, CacheType >inline
InputType typedefshark::AbstractTrainer< KernelClassifier< InputType > >
isUnconstrained() constshark::KernelSGDTrainer< InputType, CacheType >inline
kernel()shark::KernelSGDTrainer< InputType, CacheType >inline
kernel() constshark::KernelSGDTrainer< InputType, CacheType >inline
KernelMatrixType typedefshark::KernelSGDTrainer< InputType, CacheType >
KernelSGDTrainer(KernelType *kernel, const LossType *loss, double C, bool offset, bool unconstrained=false, size_t cacheSize=0x4000000)shark::KernelSGDTrainer< InputType, CacheType >inline
KernelType typedefshark::KernelSGDTrainer< InputType, CacheType >
LabelType typedefshark::AbstractTrainer< KernelClassifier< InputType > >
load(InArchive &archive, unsigned int version)shark::ISerializableinline
LossType typedefshark::KernelSGDTrainer< InputType, CacheType >
m_Cshark::KernelSGDTrainer< InputType, CacheType >protected
m_cacheSizeshark::KernelSGDTrainer< InputType, CacheType >protected
m_epochsshark::KernelSGDTrainer< InputType, CacheType >protected
m_kernelshark::KernelSGDTrainer< InputType, CacheType >protected
m_lossshark::KernelSGDTrainer< InputType, CacheType >protected
m_offsetshark::KernelSGDTrainer< InputType, CacheType >protected
m_unconstrainedshark::KernelSGDTrainer< InputType, CacheType >protected
ModelType typedefshark::KernelSGDTrainer< InputType, CacheType >
name() constshark::KernelSGDTrainer< InputType, CacheType >inlinevirtual
numberOfParameters() constshark::KernelSGDTrainer< InputType, CacheType >inlinevirtual
parameterVector() constshark::KernelSGDTrainer< InputType, CacheType >inlinevirtual
ParameterVectorType typedefshark::IParameterizable<>
PartlyPrecomputedMatrixType typedefshark::KernelSGDTrainer< InputType, CacheType >
QpFloatType typedefshark::KernelSGDTrainer< InputType, CacheType >
read(InArchive &archive)shark::ISerializableinlinevirtual
save(OutArchive &archive, unsigned int version) constshark::ISerializableinline
setC(double value)shark::KernelSGDTrainer< InputType, CacheType >inline
setCacheSize(std::size_t size)shark::KernelSGDTrainer< InputType, CacheType >inline
setEpochs(std::size_t value)shark::KernelSGDTrainer< InputType, CacheType >inline
setKernel(KernelType *kernel)shark::KernelSGDTrainer< InputType, CacheType >inline
setParameterVector(RealVector const &newParameters)shark::KernelSGDTrainer< InputType, CacheType >inlinevirtual
train(ClassifierType &classifier, const LabeledData< InputType, unsigned int > &dataset)shark::KernelSGDTrainer< InputType, CacheType >inline
AbstractTrainer< KernelClassifier< InputType > >::train(ModelType &model, DatasetType const &dataset)=0shark::AbstractTrainer< KernelClassifier< InputType > >pure virtual
trainOffset() constshark::KernelSGDTrainer< InputType, CacheType >inline
write(OutArchive &archive) constshark::ISerializableinlinevirtual
~INameable()shark::INameableinlinevirtual
~IParameterizable()shark::IParameterizable<>inlinevirtual
~ISerializable()shark::ISerializableinlinevirtual