AttributeTable typedef | shark::CARTTrainer | protected |
AttributeTables typedef | shark::CARTTrainer | protected |
AbstractTrainer< CARTClassifier< RealVector >, unsigned int >::BOOST_SERIALIZATION_SPLIT_MEMBER() | shark::ISerializable | |
AbstractTrainer< CARTClassifier< RealVector >, RealVector >::BOOST_SERIALIZATION_SPLIT_MEMBER() | shark::ISerializable | |
buildTree(AttributeTables const &tables, ClassificationDataset const &dataset, boost::unordered_map< std::size_t, std::size_t > &cAbove, std::size_t nodeId) | shark::CARTTrainer | protected |
buildTree(AttributeTables const &tables, RegressionDataset const &dataset, std::vector< RealVector > const &labels, std::size_t nodeId, std::size_t trainSize) | shark::CARTTrainer | protected |
CARTTrainer() | shark::CARTTrainer | inline |
createAttributeTables(Data< RealVector > const &dataset) | shark::CARTTrainer | protected |
createCountMatrix(ClassificationDataset const &dataset) | shark::CARTTrainer | protected |
AbstractTrainer< CARTClassifier< RealVector >, unsigned int >::DatasetType typedef | shark::AbstractTrainer< CARTClassifier< RealVector >, unsigned int > | |
AbstractTrainer< CARTClassifier< RealVector >, RealVector >::DatasetType typedef | shark::AbstractTrainer< CARTClassifier< RealVector >, RealVector > | |
findNode(SplitMatrixType &splitMatrix, std::size_t nodeId) | shark::CARTTrainer | protected |
gini(boost::unordered_map< std::size_t, std::size_t > &countMatrix, std::size_t n) | shark::CARTTrainer | protected |
hist(boost::unordered_map< std::size_t, std::size_t > countMatrix) | shark::CARTTrainer | protected |
AbstractTrainer< CARTClassifier< RealVector >, unsigned int >::InputType typedef | shark::AbstractTrainer< CARTClassifier< RealVector >, unsigned int > | |
AbstractTrainer< CARTClassifier< RealVector >, RealVector >::InputType typedef | shark::AbstractTrainer< CARTClassifier< RealVector >, RealVector > | |
AbstractTrainer< CARTClassifier< RealVector >, unsigned int >::LabelType typedef | shark::AbstractTrainer< CARTClassifier< RealVector >, unsigned int > | |
AbstractTrainer< CARTClassifier< RealVector >, RealVector >::LabelType typedef | shark::AbstractTrainer< CARTClassifier< RealVector >, RealVector > | |
AbstractTrainer< CARTClassifier< RealVector >, unsigned int >::load(InArchive &archive, unsigned int version) | shark::ISerializable | inline |
AbstractTrainer< CARTClassifier< RealVector >, RealVector >::load(InArchive &archive, unsigned int version) | shark::ISerializable | inline |
m_inputDimension | shark::CARTTrainer | protected |
m_labelDimension | shark::CARTTrainer | protected |
m_maxLabel | shark::CARTTrainer | protected |
m_nodeSize | shark::CARTTrainer | protected |
m_numberOfFolds | shark::CARTTrainer | protected |
mean(std::vector< RealVector > const &labels) | shark::CARTTrainer | protected |
measureStrenght(SplitMatrixType &splitMatrix, std::size_t nodeId, std::size_t parentNodeId) | shark::CARTTrainer | protected |
ModelType typedef | shark::CARTTrainer | |
name() const | shark::CARTTrainer | inlinevirtual |
pruneMatrix(SplitMatrixType &splitMatrix) | shark::CARTTrainer | protected |
pruneNode(SplitMatrixType &splitMatrix, std::size_t nodeId) | shark::CARTTrainer | protected |
read(InArchive &archive) | shark::ISerializable | inlinevirtual |
AbstractTrainer< CARTClassifier< RealVector >, unsigned int >::save(OutArchive &archive, unsigned int version) const | shark::ISerializable | inline |
AbstractTrainer< CARTClassifier< RealVector >, RealVector >::save(OutArchive &archive, unsigned int version) const | shark::ISerializable | inline |
setNumberOfFolds(unsigned int folds) | shark::CARTTrainer | inline |
splitAttributeTables(AttributeTables const &tables, std::size_t index, std::size_t valIndex, AttributeTables &LAttributeTables, AttributeTables &RAttributeTables) | shark::CARTTrainer | protected |
SplitMatrixType typedef | shark::CARTTrainer | protected |
totalSumOfSquares(std::vector< RealVector > const &labels, std::size_t start, std::size_t length, const RealVector &sumLabel) | shark::CARTTrainer | protected |
train(ModelType &model, ClassificationDataset const &dataset) | shark::CARTTrainer | |
train(ModelType &model, RegressionDataset const &dataset) | shark::CARTTrainer | |
AbstractTrainer< CARTClassifier< RealVector >, unsigned int >::train(ModelType &model, DatasetType const &dataset)=0 | shark::AbstractTrainer< CARTClassifier< RealVector >, unsigned int > | pure virtual |
AbstractTrainer< CARTClassifier< RealVector >, RealVector >::train(ModelType &model, DatasetType const &dataset)=0 | shark::AbstractTrainer< CARTClassifier< RealVector >, RealVector > | pure virtual |
write(OutArchive &archive) const | shark::ISerializable | inlinevirtual |
~INameable() | shark::INameable | inlinevirtual |
~ISerializable() | shark::ISerializable | inlinevirtual |