mlpack
mlpack::tree::DecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion > Member List

This is the complete list of members for mlpack::tree::DecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion >, including all inherited members.

CalculateDirection(const VecType &point) constmlpack::tree::DecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion >
CategoricalSplit typedefmlpack::tree::DecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion >
Child(const size_t i) constmlpack::tree::DecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion >inline
Child(const size_t i)mlpack::tree::DecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion >inline
Classify(const VecType &point) constmlpack::tree::DecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion >
Classify(const VecType &point, size_t &prediction, arma::vec &probabilities) constmlpack::tree::DecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion >
Classify(const MatType &data, arma::Row< size_t > &predictions) constmlpack::tree::DecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion >
Classify(const MatType &data, arma::Row< size_t > &predictions, arma::mat &probabilities) constmlpack::tree::DecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion >
DecisionTree(MatType data, const data::DatasetInfo &datasetInfo, LabelsType labels, const size_t numClasses, const size_t minimumLeafSize=10, const double minimumGainSplit=1e-7, const size_t maximumDepth=0, DimensionSelectionType dimensionSelector=DimensionSelectionType())mlpack::tree::DecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion >
DecisionTree(MatType data, LabelsType labels, const size_t numClasses, const size_t minimumLeafSize=10, const double minimumGainSplit=1e-7, const size_t maximumDepth=0, DimensionSelectionType dimensionSelector=DimensionSelectionType())mlpack::tree::DecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion >
DecisionTree(MatType data, const data::DatasetInfo &datasetInfo, LabelsType labels, const size_t numClasses, WeightsType weights, const size_t minimumLeafSize=10, const double minimumGainSplit=1e-7, const size_t maximumDepth=0, DimensionSelectionType dimensionSelector=DimensionSelectionType(), const std::enable_if_t< arma::is_arma_type< typename std::remove_reference< WeightsType >::type >::value > *=0)mlpack::tree::DecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion >
DecisionTree(const DecisionTree &other, MatType data, const data::DatasetInfo &datasetInfo, LabelsType labels, const size_t numClasses, WeightsType weights, const size_t minimumLeafSize=10, const double minimumGainSplit=1e-7, const std::enable_if_t< arma::is_arma_type< typename std::remove_reference< WeightsType >::type >::value > *=0)mlpack::tree::DecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion >
DecisionTree(MatType data, LabelsType labels, const size_t numClasses, WeightsType weights, const size_t minimumLeafSize=10, const double minimumGainSplit=1e-7, const size_t maximumDepth=0, DimensionSelectionType dimensionSelector=DimensionSelectionType(), const std::enable_if_t< arma::is_arma_type< typename std::remove_reference< WeightsType >::type >::value > *=0)mlpack::tree::DecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion >
DecisionTree(const DecisionTree &other, MatType data, LabelsType labels, const size_t numClasses, WeightsType weights, const size_t minimumLeafSize=10, const double minimumGainSplit=1e-7, const size_t maximumDepth=0, DimensionSelectionType dimensionSelector=DimensionSelectionType(), const std::enable_if_t< arma::is_arma_type< typename std::remove_reference< WeightsType >::type >::value > *=0)mlpack::tree::DecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion >
DecisionTree(const size_t numClasses=1)mlpack::tree::DecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion >
DecisionTree(const DecisionTree &other)mlpack::tree::DecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion >
DecisionTree(DecisionTree &&other)mlpack::tree::DecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion >
DimensionSelection typedefmlpack::tree::DecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion >
NumChildren() constmlpack::tree::DecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion >inline
NumClasses() constmlpack::tree::DecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion >
NumericSplit typedefmlpack::tree::DecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion >
operator=(const DecisionTree &other)mlpack::tree::DecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion >
operator=(DecisionTree &&other)mlpack::tree::DecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion >
serialize(Archive &ar, const uint32_t)mlpack::tree::DecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion >
SplitDimension() constmlpack::tree::DecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion >inline
Train(MatType data, const data::DatasetInfo &datasetInfo, LabelsType labels, const size_t numClasses, const size_t minimumLeafSize=10, const double minimumGainSplit=1e-7, const size_t maximumDepth=0, DimensionSelectionType dimensionSelector=DimensionSelectionType())mlpack::tree::DecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion >
Train(MatType data, LabelsType labels, const size_t numClasses, const size_t minimumLeafSize=10, const double minimumGainSplit=1e-7, const size_t maximumDepth=0, DimensionSelectionType dimensionSelector=DimensionSelectionType())mlpack::tree::DecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion >
Train(MatType data, const data::DatasetInfo &datasetInfo, LabelsType labels, const size_t numClasses, WeightsType weights, const size_t minimumLeafSize=10, const double minimumGainSplit=1e-7, const size_t maximumDepth=0, DimensionSelectionType dimensionSelector=DimensionSelectionType(), const std::enable_if_t< arma::is_arma_type< typename std::remove_reference< WeightsType >::type >::value > *=0)mlpack::tree::DecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion >
Train(MatType data, LabelsType labels, const size_t numClasses, WeightsType weights, const size_t minimumLeafSize=10, const double minimumGainSplit=1e-7, const size_t maximumDepth=0, DimensionSelectionType dimensionSelector=DimensionSelectionType(), const std::enable_if_t< arma::is_arma_type< typename std::remove_reference< WeightsType >::type >::value > *=0)mlpack::tree::DecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion >
~DecisionTree()mlpack::tree::DecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion >