| BOOST_SERIALIZATION_SPLIT_MEMBER() | shark::ISerializable | |
| DatasetType typedef | shark::AbstractTrainer< Model, LabelTypeT > | |
| InputType typedef | shark::OptimizationTrainer< Model, LabelTypeT > | |
| LabelType typedef | shark::OptimizationTrainer< Model, LabelTypeT > | |
| load(InArchive &archive, unsigned int version) | shark::ISerializable | inline |
| LossType typedef | shark::OptimizationTrainer< Model, LabelTypeT > | |
| mep_loss | shark::OptimizationTrainer< Model, LabelTypeT > | protected |
| mep_optimizer | shark::OptimizationTrainer< Model, LabelTypeT > | protected |
| mep_stoppingCriterion | shark::OptimizationTrainer< Model, LabelTypeT > | protected |
| ModelType typedef | shark::OptimizationTrainer< Model, LabelTypeT > | |
| name() const | shark::OptimizationTrainer< Model, LabelTypeT > | inlinevirtual |
| OptimizationTrainer(LossType *loss, OptimizerType *optimizer, StoppingCriterionType *stoppingCriterion) | shark::OptimizationTrainer< Model, LabelTypeT > | inline |
| OptimizerType typedef | shark::OptimizationTrainer< Model, LabelTypeT > | |
| read(InArchive &archive) | shark::OptimizationTrainer< Model, LabelTypeT > | inlinevirtual |
| save(OutArchive &archive, unsigned int version) const | shark::ISerializable | inline |
| StoppingCriterionType typedef | shark::OptimizationTrainer< Model, LabelTypeT > | |
| train(ModelType &model, LabeledData< InputType, LabelType > const &dataset) | shark::OptimizationTrainer< Model, LabelTypeT > | inline |
| shark::AbstractTrainer::train(ModelType &model, DatasetType const &dataset)=0 | shark::AbstractTrainer< Model, LabelTypeT > | pure virtual |
| write(OutArchive &archive) const | shark::OptimizationTrainer< Model, LabelTypeT > | inlinevirtual |
| ~INameable() | shark::INameable | inlinevirtual |
| ~ISerializable() | shark::ISerializable | inlinevirtual |