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