| AbstractLinearSvmTrainer(double C, bool offset, bool unconstrained) | shark::AbstractLinearSvmTrainer< InputType > | inline |
| accessCount() const | shark::QpConfig | inline |
| BOOST_SERIALIZATION_SPLIT_MEMBER() | shark::ISerializable | |
| C() const | shark::AbstractLinearSvmTrainer< InputType > | inline |
| DatasetType typedef | shark::AbstractTrainer< LinearClassifier< InputType >, unsigned int > | |
| InputType typedef | shark::AbstractTrainer< LinearClassifier< InputType >, unsigned int > | |
| isUnconstrained() const | shark::AbstractLinearSvmTrainer< InputType > | inline |
| LabelType typedef | shark::AbstractTrainer< LinearClassifier< InputType >, unsigned int > | |
| load(InArchive &archive, unsigned int version) | shark::ISerializable | inline |
| m_accessCount | shark::QpConfig | protected |
| m_C | shark::AbstractLinearSvmTrainer< InputType > | protected |
| m_precomputedKernelMatrix | shark::QpConfig | protected |
| m_s2do | shark::QpConfig | protected |
| m_shrinking | shark::QpConfig | protected |
| m_solutionproperties | shark::QpConfig | protected |
| m_sparsify | shark::QpConfig | protected |
| m_stoppingcondition | shark::QpConfig | protected |
| m_trainOffset | shark::AbstractLinearSvmTrainer< InputType > | protected |
| m_unconstrained | shark::AbstractLinearSvmTrainer< InputType > | protected |
| m_verbosity | shark::QpConfig | protected |
| ModelType typedef | shark::AbstractLinearSvmTrainer< InputType > | |
| name() const | shark::SquaredHingeLinearCSvmTrainer< InputType > | inlinevirtual |
| numberOfParameters() const | shark::AbstractLinearSvmTrainer< InputType > | inlinevirtual |
| parameterVector() const | shark::AbstractLinearSvmTrainer< InputType > | inlinevirtual |
| ParameterVectorType typedef | shark::IParameterizable<> | |
| precomputeKernel() | shark::QpConfig | inline |
| precomputeKernel() const | shark::QpConfig | inline |
| QpConfig(bool precomputedFlag=false, bool sparsifyFlag=true) | shark::QpConfig | inline |
| read(InArchive &archive) | shark::ISerializable | inlinevirtual |
| s2do() | shark::QpConfig | inline |
| s2do() const | shark::QpConfig | inline |
| save(OutArchive &archive, unsigned int version) const | shark::ISerializable | inline |
| setC(double C) | shark::AbstractLinearSvmTrainer< InputType > | inline |
| setMaxIterations(unsigned long long i) | shark::QpConfig | inline |
| setMaxSeconds(double s) | shark::QpConfig | inline |
| setMinAccuracy(double a) | shark::QpConfig | inline |
| setParameterVector(RealVector const &newParameters) | shark::AbstractLinearSvmTrainer< InputType > | inlinevirtual |
| setTargetValue(double v) | shark::QpConfig | inline |
| shrinking() | shark::QpConfig | inline |
| shrinking() const | shark::QpConfig | inline |
| solutionProperties() | shark::QpConfig | inline |
| sparsify() | shark::QpConfig | inline |
| sparsify() const | shark::QpConfig | inline |
| SquaredHingeLinearCSvmTrainer(double C, bool unconstrained=false) | shark::SquaredHingeLinearCSvmTrainer< InputType > | inline |
| stoppingCondition() | shark::QpConfig | inline |
| stoppingCondition() const | shark::QpConfig | inline |
| train(LinearClassifier< InputType > &model, LabeledData< InputType, unsigned int > const &dataset) | shark::SquaredHingeLinearCSvmTrainer< InputType > | inline |
| shark::AbstractLinearSvmTrainer::train(ModelType &model, DatasetType const &dataset)=0 | shark::AbstractTrainer< LinearClassifier< InputType >, unsigned int > | pure virtual |
| trainOffset() const | shark::AbstractLinearSvmTrainer< InputType > | inline |
| verbosity() | shark::QpConfig | inline |
| verbosity() const | shark::QpConfig | inline |
| write(OutArchive &archive) const | shark::ISerializable | inlinevirtual |
| ~INameable() | shark::INameable | inlinevirtual |
| ~IParameterizable() | shark::IParameterizable<> | inlinevirtual |
| ~ISerializable() | shark::ISerializable | inlinevirtual |