shark::SquaredHingeLinearCSvmTrainer< InputType > Member List

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

AbstractLinearSvmTrainer(double C, bool offset, bool unconstrained)shark::AbstractLinearSvmTrainer< InputType >inline
accessCount() constshark::QpConfiginline
BOOST_SERIALIZATION_SPLIT_MEMBER()shark::ISerializable
C() constshark::AbstractLinearSvmTrainer< InputType >inline
DatasetType typedefshark::AbstractTrainer< LinearClassifier< InputType >, unsigned int >
InputType typedefshark::AbstractTrainer< LinearClassifier< InputType >, unsigned int >
isUnconstrained() constshark::AbstractLinearSvmTrainer< InputType >inline
LabelType typedefshark::AbstractTrainer< LinearClassifier< InputType >, unsigned int >
load(InArchive &archive, unsigned int version)shark::ISerializableinline
m_accessCountshark::QpConfigprotected
m_Cshark::AbstractLinearSvmTrainer< InputType >protected
m_precomputedKernelMatrixshark::QpConfigprotected
m_s2doshark::QpConfigprotected
m_shrinkingshark::QpConfigprotected
m_solutionpropertiesshark::QpConfigprotected
m_sparsifyshark::QpConfigprotected
m_stoppingconditionshark::QpConfigprotected
m_trainOffsetshark::AbstractLinearSvmTrainer< InputType >protected
m_unconstrainedshark::AbstractLinearSvmTrainer< InputType >protected
m_verbosityshark::QpConfigprotected
ModelType typedefshark::AbstractLinearSvmTrainer< InputType >
name() constshark::SquaredHingeLinearCSvmTrainer< InputType >inlinevirtual
numberOfParameters() constshark::AbstractLinearSvmTrainer< InputType >inlinevirtual
parameterVector() constshark::AbstractLinearSvmTrainer< InputType >inlinevirtual
ParameterVectorType typedefshark::IParameterizable<>
precomputeKernel()shark::QpConfiginline
precomputeKernel() constshark::QpConfiginline
QpConfig(bool precomputedFlag=false, bool sparsifyFlag=true)shark::QpConfiginline
read(InArchive &archive)shark::ISerializableinlinevirtual
s2do()shark::QpConfiginline
s2do() constshark::QpConfiginline
save(OutArchive &archive, unsigned int version) constshark::ISerializableinline
setC(double C)shark::AbstractLinearSvmTrainer< InputType >inline
setMaxIterations(unsigned long long i)shark::QpConfiginline
setMaxSeconds(double s)shark::QpConfiginline
setMinAccuracy(double a)shark::QpConfiginline
setParameterVector(RealVector const &newParameters)shark::AbstractLinearSvmTrainer< InputType >inlinevirtual
setTargetValue(double v)shark::QpConfiginline
shrinking()shark::QpConfiginline
shrinking() constshark::QpConfiginline
solutionProperties()shark::QpConfiginline
sparsify()shark::QpConfiginline
sparsify() constshark::QpConfiginline
SquaredHingeLinearCSvmTrainer(double C, bool unconstrained=false)shark::SquaredHingeLinearCSvmTrainer< InputType >inline
stoppingCondition()shark::QpConfiginline
stoppingCondition() constshark::QpConfiginline
train(LinearClassifier< InputType > &model, LabeledData< InputType, unsigned int > const &dataset)shark::SquaredHingeLinearCSvmTrainer< InputType >inline
shark::AbstractLinearSvmTrainer::train(ModelType &model, DatasetType const &dataset)=0shark::AbstractTrainer< LinearClassifier< InputType >, unsigned int >pure virtual
trainOffset() constshark::AbstractLinearSvmTrainer< InputType >inline
verbosity()shark::QpConfiginline
verbosity() constshark::QpConfiginline
write(OutArchive &archive) constshark::ISerializableinlinevirtual
~INameable()shark::INameableinlinevirtual
~IParameterizable()shark::IParameterizable<>inlinevirtual
~ISerializable()shark::ISerializableinlinevirtual