DecisionTreeRegressor< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion > Member List

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

CalculateDirection(const VecType &point) const	DecisionTreeRegressor< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion >
CategoricalSplit typedef	DecisionTreeRegressor< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion >
Child(const size_t i) const	DecisionTreeRegressor< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion >	inline
Child(const size_t i)	DecisionTreeRegressor< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion >	inline
DecisionTreeRegressor()	DecisionTreeRegressor< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion >
DecisionTreeRegressor(MatType data, const data::DatasetInfo &datasetInfo, ResponsesType responses, const size_t minimumLeafSize=10, const double minimumGainSplit=1e-7, const size_t maximumDepth=0, DimensionSelectionType dimensionSelector=DimensionSelectionType())	DecisionTreeRegressor< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion >
DecisionTreeRegressor(MatType data, ResponsesType responses, const size_t minimumLeafSize=10, const double minimumGainSplit=1e-7, const size_t maximumDepth=0, DimensionSelectionType dimensionSelector=DimensionSelectionType())	DecisionTreeRegressor< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion >
DecisionTreeRegressor(MatType data, const data::DatasetInfo &datasetInfo, ResponsesType responses, 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)	DecisionTreeRegressor< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion >
DecisionTreeRegressor(MatType data, ResponsesType responses, 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)	DecisionTreeRegressor< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion >
DecisionTreeRegressor(const DecisionTreeRegressor &other, MatType data, const data::DatasetInfo &datasetInfo, ResponsesType responses, 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)	DecisionTreeRegressor< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion >
DecisionTreeRegressor(const DecisionTreeRegressor &other, MatType data, ResponsesType responses, 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)	DecisionTreeRegressor< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion >
DecisionTreeRegressor(const DecisionTreeRegressor &other)	DecisionTreeRegressor< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion >
DecisionTreeRegressor(DecisionTreeRegressor &&other)	DecisionTreeRegressor< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion >
DimensionSelection typedef	DecisionTreeRegressor< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion >
NumChildren() const	DecisionTreeRegressor< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion >	inline
NumericSplit typedef	DecisionTreeRegressor< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion >
NumLeaves() const	DecisionTreeRegressor< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion >
operator=(const DecisionTreeRegressor &other)	DecisionTreeRegressor< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion >
operator=(DecisionTreeRegressor &&other)	DecisionTreeRegressor< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion >
Predict(const VecType &point) const	DecisionTreeRegressor< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion >
Predict(const MatType &data, arma::Row< double > &predictions) const	DecisionTreeRegressor< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion >
serialize(Archive &ar, const uint32_t)	DecisionTreeRegressor< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion >
SplitDimension() const	DecisionTreeRegressor< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion >	inline
Train(MatType data, const data::DatasetInfo &datasetInfo, ResponsesType responses, const size_t minimumLeafSize=10, const double minimumGainSplit=1e-7, const size_t maximumDepth=0, DimensionSelectionType dimensionSelector=DimensionSelectionType(), FitnessFunction fitnessFunction=FitnessFunction())	DecisionTreeRegressor< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion >
Train(MatType data, ResponsesType responses, const size_t minimumLeafSize=10, const double minimumGainSplit=1e-7, const size_t maximumDepth=0, DimensionSelectionType dimensionSelector=DimensionSelectionType(), FitnessFunction fitnessFunction=FitnessFunction())	DecisionTreeRegressor< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion >
Train(MatType data, const data::DatasetInfo &datasetInfo, ResponsesType responses, WeightsType weights, const size_t minimumLeafSize=10, const double minimumGainSplit=1e-7, const size_t maximumDepth=0, DimensionSelectionType dimensionSelector=DimensionSelectionType(), FitnessFunction fitnessFunction=FitnessFunction(), const std::enable_if_t< arma::is_arma_type< typename std::remove_reference< WeightsType >::type >::value > *=0)	DecisionTreeRegressor< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion >
Train(MatType data, ResponsesType responses, WeightsType weights, const size_t minimumLeafSize=10, const double minimumGainSplit=1e-7, const size_t maximumDepth=0, DimensionSelectionType dimensionSelector=DimensionSelectionType(), FitnessFunction fitnessFunction=FitnessFunction(), const std::enable_if_t< arma::is_arma_type< typename std::remove_reference< WeightsType >::type >::value > *=0)	DecisionTreeRegressor< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion >
~DecisionTreeRegressor()	DecisionTreeRegressor< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion >