| BOOST_SERIALIZATION_SPLIT_MEMBER() | shark::ISerializable | |
| budgetMaintenanceStrategy() const | shark::KernelBudgetedSGDTrainer< InputType, CacheType > | inline |
| budgetSize() const | shark::KernelBudgetedSGDTrainer< InputType, CacheType > | inline |
| C() const | shark::KernelBudgetedSGDTrainer< InputType, CacheType > | inline |
| ClassifierType typedef | shark::KernelBudgetedSGDTrainer< InputType, CacheType > | |
| ConstBatchInputReference typedef | shark::KernelBudgetedSGDTrainer< InputType, CacheType > | |
| DatasetType typedef | shark::AbstractTrainer< KernelClassifier< InputType > > | |
| ElementType typedef | shark::KernelBudgetedSGDTrainer< InputType, CacheType > | |
| epochs() const | shark::KernelBudgetedSGDTrainer< InputType, CacheType > | inline |
| InputType typedef | shark::AbstractTrainer< KernelClassifier< InputType > > | |
| isUnconstrained() const | shark::KernelBudgetedSGDTrainer< InputType, CacheType > | inline |
| kernel() | shark::KernelBudgetedSGDTrainer< InputType, CacheType > | inline |
| kernel() const | shark::KernelBudgetedSGDTrainer< InputType, CacheType > | inline |
| KernelBudgetedSGDTrainer(KernelType *kernel, const LossType *loss, double C, bool offset, bool unconstrained=false, size_t budgetSize=500, AbstractBudgetMaintenanceStrategy< InputType > *budgetMaintenanceStrategy=NULL, size_t epochs=1, size_t preInitializationMethod=NONE, double minMargin=1.0f) | shark::KernelBudgetedSGDTrainer< InputType, CacheType > | inline |
| KernelMatrixType typedef | shark::KernelBudgetedSGDTrainer< InputType, CacheType > | |
| KernelType typedef | shark::KernelBudgetedSGDTrainer< InputType, CacheType > | |
| LabelType typedef | shark::AbstractTrainer< KernelClassifier< InputType > > | |
| load(InArchive &archive, unsigned int version) | shark::ISerializable | inline |
| LossType typedef | shark::KernelBudgetedSGDTrainer< InputType, CacheType > | |
| m_budgetMaintenanceStrategy | shark::KernelBudgetedSGDTrainer< InputType, CacheType > | protected |
| m_budgetSize | shark::KernelBudgetedSGDTrainer< InputType, CacheType > | protected |
| m_C | shark::KernelBudgetedSGDTrainer< InputType, CacheType > | protected |
| m_epochs | shark::KernelBudgetedSGDTrainer< InputType, CacheType > | protected |
| m_kernel | shark::KernelBudgetedSGDTrainer< InputType, CacheType > | protected |
| m_loss | shark::KernelBudgetedSGDTrainer< InputType, CacheType > | protected |
| m_minMargin | shark::KernelBudgetedSGDTrainer< InputType, CacheType > | protected |
| m_offset | shark::KernelBudgetedSGDTrainer< InputType, CacheType > | protected |
| m_preInitializationMethod | shark::KernelBudgetedSGDTrainer< InputType, CacheType > | protected |
| m_unconstrained | shark::KernelBudgetedSGDTrainer< InputType, CacheType > | protected |
| minMargin() const | shark::KernelBudgetedSGDTrainer< InputType, CacheType > | inline |
| ModelType typedef | shark::KernelBudgetedSGDTrainer< InputType, CacheType > | |
| name() const | shark::KernelBudgetedSGDTrainer< InputType, CacheType > | inlinevirtual |
| NONE enum value | shark::KernelBudgetedSGDTrainer< InputType, CacheType > | |
| numberOfParameters() const | shark::KernelBudgetedSGDTrainer< InputType, CacheType > | inlinevirtual |
| parameterVector() const | shark::KernelBudgetedSGDTrainer< InputType, CacheType > | inlinevirtual |
| ParameterVectorType typedef | shark::IParameterizable<> | |
| PartlyPrecomputedMatrixType typedef | shark::KernelBudgetedSGDTrainer< InputType, CacheType > | |
| preInitializationMethod enum name | shark::KernelBudgetedSGDTrainer< InputType, CacheType > | |
| QpFloatType typedef | shark::KernelBudgetedSGDTrainer< InputType, CacheType > | |
| RANDOM enum value | shark::KernelBudgetedSGDTrainer< InputType, CacheType > | |
| read(InArchive &archive) | shark::ISerializable | inlinevirtual |
| save(OutArchive &archive, unsigned int version) const | shark::ISerializable | inline |
| setBudgetMaintenanceStrategy(AbstractBudgetMaintenanceStrategy< InputType > *budgetMaintenanceStrategy) | shark::KernelBudgetedSGDTrainer< InputType, CacheType > | inline |
| setBudgetSize(std::size_t budgetSize) | shark::KernelBudgetedSGDTrainer< InputType, CacheType > | inline |
| setC(double value) | shark::KernelBudgetedSGDTrainer< InputType, CacheType > | inline |
| setEpochs(std::size_t value) | shark::KernelBudgetedSGDTrainer< InputType, CacheType > | inline |
| setKernel(KernelType *kernel) | shark::KernelBudgetedSGDTrainer< InputType, CacheType > | inline |
| setMinMargin(double minMargin) | shark::KernelBudgetedSGDTrainer< InputType, CacheType > | inline |
| setParameterVector(RealVector const &newParameters) | shark::KernelBudgetedSGDTrainer< InputType, CacheType > | inlinevirtual |
| train(ClassifierType &classifier, const LabeledData< InputType, unsigned int > &dataset) | shark::KernelBudgetedSGDTrainer< InputType, CacheType > | inline |
| AbstractTrainer< KernelClassifier< InputType > >::train(ModelType &model, DatasetType const &dataset)=0 | shark::AbstractTrainer< KernelClassifier< InputType > > | pure virtual |
| trainOffset() const | shark::KernelBudgetedSGDTrainer< InputType, CacheType > | inline |
| write(OutArchive &archive) const | shark::ISerializable | inlinevirtual |
| ~INameable() | shark::INameable | inlinevirtual |
| ~IParameterizable() | shark::IParameterizable<> | inlinevirtual |
| ~ISerializable() | shark::ISerializable | inlinevirtual |