| AttributeTable typedef | shark::RFTrainer | protected |
| AttributeTables typedef | shark::RFTrainer | protected |
| average(const std::vector< RealVector > &labels) | shark::RFTrainer | protected |
| AbstractTrainer< RFClassifier, unsigned int >::BOOST_SERIALIZATION_SPLIT_MEMBER() | shark::ISerializable | |
| AbstractTrainer< RFClassifier >::BOOST_SERIALIZATION_SPLIT_MEMBER() | shark::ISerializable | |
| buildTree(AttributeTables &tables, const ClassificationDataset &dataset, boost::unordered_map< std::size_t, std::size_t > &cAbove, std::size_t nodeId) | shark::RFTrainer | protected |
| buildTree(AttributeTables &tables, const RegressionDataset &dataset, const std::vector< RealVector > &labels, std::size_t nodeId) | shark::RFTrainer | protected |
| createAttributeTables(Data< RealVector > const &dataset, AttributeTables &tables) | shark::RFTrainer | protected |
| createCountMatrix(const ClassificationDataset &dataset, boost::unordered_map< std::size_t, std::size_t > &cAbove) | shark::RFTrainer | protected |
| AbstractTrainer< RFClassifier, unsigned int >::DatasetType typedef | shark::AbstractTrainer< RFClassifier, unsigned int > | |
| AbstractTrainer< RFClassifier >::DatasetType typedef | shark::AbstractTrainer< RFClassifier > | |
| generateRandomTableIndicies(std::set< std::size_t > &tableIndicies) | shark::RFTrainer | protected |
| gini(boost::unordered_map< std::size_t, std::size_t > &countMatrix, std::size_t n) | shark::RFTrainer | protected |
| hist(boost::unordered_map< std::size_t, std::size_t > countMatrix) | shark::RFTrainer | protected |
| AbstractTrainer< RFClassifier, unsigned int >::InputType typedef | shark::AbstractTrainer< RFClassifier, unsigned int > | |
| AbstractTrainer< RFClassifier >::InputType typedef | shark::AbstractTrainer< RFClassifier > | |
| AbstractTrainer< RFClassifier, unsigned int >::LabelType typedef | shark::AbstractTrainer< RFClassifier, unsigned int > | |
| AbstractTrainer< RFClassifier >::LabelType typedef | shark::AbstractTrainer< RFClassifier > | |
| AbstractTrainer< RFClassifier, unsigned int >::load(InArchive &archive, unsigned int version) | shark::ISerializable | inline |
| AbstractTrainer< RFClassifier >::load(InArchive &archive, unsigned int version) | shark::ISerializable | inline |
| m_B | shark::RFTrainer | protected |
| m_computeFeatureImportances | shark::RFTrainer | protected |
| m_computeOOBerror | shark::RFTrainer | protected |
| m_inputDimension | shark::RFTrainer | protected |
| m_labelDimension | shark::RFTrainer | protected |
| m_maxLabel | shark::RFTrainer | protected |
| m_nodeSize | shark::RFTrainer | protected |
| m_OOBratio | shark::RFTrainer | protected |
| m_regressionLearner | shark::RFTrainer | protected |
| m_try | shark::RFTrainer | protected |
| AbstractTrainer< RFClassifier, unsigned int >::ModelType typedef | shark::AbstractTrainer< RFClassifier, unsigned int > | |
| AbstractTrainer< RFClassifier >::ModelType typedef | shark::AbstractTrainer< RFClassifier > | |
| name() const | shark::RFTrainer | inlinevirtual |
| numberOfParameters() const | shark::IParameterizable | inlinevirtual |
| parameterVector() const | shark::RFTrainer | inlinevirtual |
| read(InArchive &archive) | shark::ISerializable | inlinevirtual |
| RFTrainer(bool computeFeatureImportances=false, bool computeOOBerror=false) | shark::RFTrainer | |
| AbstractTrainer< RFClassifier, unsigned int >::save(OutArchive &archive, unsigned int version) const | shark::ISerializable | inline |
| AbstractTrainer< RFClassifier >::save(OutArchive &archive, unsigned int version) const | shark::ISerializable | inline |
| setDefaults() | shark::RFTrainer | protected |
| setMTry(std::size_t mtry) | shark::RFTrainer | |
| setNodeSize(std::size_t nTrees) | shark::RFTrainer | |
| setNTrees(std::size_t nTrees) | shark::RFTrainer | |
| setOOBratio(double ratio) | shark::RFTrainer | |
| setParameterVector(RealVector const &newParameters) | shark::RFTrainer | inlinevirtual |
| splitAttributeTables(const AttributeTables &tables, std::size_t index, std::size_t valIndex, AttributeTables &LAttributeTables, AttributeTables &RAttributeTables) | shark::RFTrainer | protected |
| tableSort(const RFAttribute &v1, const RFAttribute &v2) | shark::RFTrainer | protectedstatic |
| totalSumOfSquares(std::vector< RealVector > &labels, std::size_t from, std::size_t to, const RealVector &sumLabel) | shark::RFTrainer | protected |
| train(RFClassifier &model, const ClassificationDataset &dataset) | shark::RFTrainer | |
| train(RFClassifier &model, const RegressionDataset &dataset) | shark::RFTrainer | |
| AbstractTrainer< RFClassifier, unsigned int >::train(ModelType &model, DatasetType const &dataset)=0 | shark::AbstractTrainer< RFClassifier, unsigned int > | pure virtual |
| AbstractTrainer< RFClassifier >::train(ModelType &model, DatasetType const &dataset)=0 | shark::AbstractTrainer< RFClassifier > | pure virtual |
| write(OutArchive &archive) const | shark::ISerializable | inlinevirtual |
| ~INameable() | shark::INameable | inlinevirtual |
| ~IParameterizable() | shark::IParameterizable | inlinevirtual |
| ~ISerializable() | shark::ISerializable | inlinevirtual |