shark::LDA Member List

This is the complete list of members for shark::LDA, including all inherited members.

BOOST_SERIALIZATION_SPLIT_MEMBER()shark::ISerializable
DatasetType typedefshark::AbstractWeightedTrainer< LinearClassifier<>, unsigned int >
InputType typedefshark::AbstractWeightedTrainer< LinearClassifier<>, unsigned int >
LabelType typedefshark::AbstractWeightedTrainer< LinearClassifier<>, unsigned int >
LDA(double regularization=0.0)shark::LDAinline
load(InArchive &archive, unsigned int version)shark::ISerializableinline
m_regularizationshark::LDAprotected
ModelType typedefshark::AbstractWeightedTrainer< LinearClassifier<>, unsigned int >
name() constshark::LDAinlinevirtual
numberOfParameters() constshark::LDAinlinevirtual
parameterVector() constshark::LDAinlinevirtual
ParameterVectorType typedefshark::IParameterizable<>
read(InArchive &archive)shark::ISerializableinlinevirtual
regularization() constshark::LDAinline
save(OutArchive &archive, unsigned int version) constshark::ISerializableinline
setParameterVector(RealVector const &param)shark::LDAinlinevirtual
setRegularization(double regularization)shark::LDAinline
train(LinearClassifier<> &model, LabeledData< RealVector, unsigned int > const &dataset)shark::LDA
train(LinearClassifier<> &model, WeightedLabeledData< RealVector, unsigned int > const &dataset)shark::LDA
AbstractWeightedTrainer< LinearClassifier<>, unsigned int >::train(ModelType &model, WeightedDatasetType const &dataset)=0shark::AbstractWeightedTrainer< LinearClassifier<>, unsigned int >pure virtual
AbstractWeightedTrainer< LinearClassifier<>, unsigned int >::train(ModelType &model, DatasetType const &dataset)shark::AbstractWeightedTrainer< LinearClassifier<>, unsigned int >inlinevirtual
WeightedDatasetType typedefshark::AbstractWeightedTrainer< LinearClassifier<>, unsigned int >
write(OutArchive &archive) constshark::ISerializableinlinevirtual
~INameable()shark::INameableinlinevirtual
~IParameterizable()shark::IParameterizable<>inlinevirtual
~ISerializable()shark::ISerializableinlinevirtual