shark::LogisticRegression< InputVectorType > Member List

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

accuracy() constshark::LogisticRegression< InputVectorType >inline
BOOST_SERIALIZATION_SPLIT_MEMBER()shark::ISerializable
DatasetType typedefshark::LogisticRegression< InputVectorType >
InputType typedefshark::AbstractWeightedTrainer< LinearClassifier< InputVectorType > >
LabelType typedefshark::AbstractWeightedTrainer< LinearClassifier< InputVectorType > >
lambda1() constshark::LogisticRegression< InputVectorType >inline
lambda2() constshark::LogisticRegression< InputVectorType >inline
load(InArchive &archive, unsigned int version)shark::ISerializableinline
LogisticRegression(double lambda1=0, double lambda2=0, bool bias=true, double accuracy=1.e-8)shark::LogisticRegression< InputVectorType >inline
ModelType typedefshark::LogisticRegression< InputVectorType >
name() constshark::LogisticRegression< InputVectorType >inlinevirtual
numberOfParameters() constshark::LogisticRegression< InputVectorType >inlinevirtual
parameterVector() constshark::LogisticRegression< InputVectorType >inlinevirtual
ParameterVectorType typedefshark::IParameterizable<>
read(InArchive &archive)shark::ISerializableinlinevirtual
save(OutArchive &archive, unsigned int version) constshark::ISerializableinline
setAccuracy(double accuracy)shark::LogisticRegression< InputVectorType >inline
setLambda1(double lambda)shark::LogisticRegression< InputVectorType >inline
setLambda2(double lambda)shark::LogisticRegression< InputVectorType >inline
setParameterVector(const RealVector &param)shark::LogisticRegression< InputVectorType >inlinevirtual
train(ModelType &model, DatasetType const &dataset)shark::LogisticRegression< InputVectorType >inline
train(ModelType &model, WeightedDatasetType const &dataset)shark::LogisticRegression< InputVectorType >inline
AbstractWeightedTrainer< LinearClassifier< InputVectorType > >::train(ModelType &model, WeightedDatasetType const &dataset)=0shark::AbstractWeightedTrainer< LinearClassifier< InputVectorType > >pure virtual
AbstractWeightedTrainer< LinearClassifier< InputVectorType > >::train(ModelType &model, DatasetType const &dataset)shark::AbstractWeightedTrainer< LinearClassifier< InputVectorType > >inlinevirtual
WeightedDatasetType typedefshark::LogisticRegression< InputVectorType >
write(OutArchive &archive) constshark::ISerializableinlinevirtual
~INameable()shark::INameableinlinevirtual
~IParameterizable()shark::IParameterizable<>inlinevirtual
~ISerializable()shark::ISerializableinlinevirtual