| CalculateDirection(const VecType &point) const | mlpack::tree::DecisionTreeRegressor< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion > | |
| CategoricalSplit typedef | mlpack::tree::DecisionTreeRegressor< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion > | |
| Child(const size_t i) const | mlpack::tree::DecisionTreeRegressor< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion > | inline |
| Child(const size_t i) | mlpack::tree::DecisionTreeRegressor< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion > | inline |
| DecisionTreeRegressor() | mlpack::tree::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()) | mlpack::tree::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()) | mlpack::tree::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) | mlpack::tree::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) | mlpack::tree::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) | mlpack::tree::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) | mlpack::tree::DecisionTreeRegressor< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion > | |
| DecisionTreeRegressor(const DecisionTreeRegressor &other) | mlpack::tree::DecisionTreeRegressor< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion > | |
| DecisionTreeRegressor(DecisionTreeRegressor &&other) | mlpack::tree::DecisionTreeRegressor< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion > | |
| DimensionSelection typedef | mlpack::tree::DecisionTreeRegressor< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion > | |
| NumChildren() const | mlpack::tree::DecisionTreeRegressor< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion > | inline |
| NumericSplit typedef | mlpack::tree::DecisionTreeRegressor< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion > | |
| NumLeaves() const | mlpack::tree::DecisionTreeRegressor< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion > | |
| operator=(const DecisionTreeRegressor &other) | mlpack::tree::DecisionTreeRegressor< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion > | |
| operator=(DecisionTreeRegressor &&other) | mlpack::tree::DecisionTreeRegressor< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion > | |
| Predict(const VecType &point) const | mlpack::tree::DecisionTreeRegressor< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion > | |
| Predict(const MatType &data, arma::Row< double > &predictions) const | mlpack::tree::DecisionTreeRegressor< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion > | |
| serialize(Archive &ar, const uint32_t) | mlpack::tree::DecisionTreeRegressor< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion > | |
| SplitDimension() const | mlpack::tree::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()) | mlpack::tree::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()) | mlpack::tree::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(), const std::enable_if_t< arma::is_arma_type< typename std::remove_reference< WeightsType >::type >::value > *=0) | mlpack::tree::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(), const std::enable_if_t< arma::is_arma_type< typename std::remove_reference< WeightsType >::type >::value > *=0) | mlpack::tree::DecisionTreeRegressor< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion > | |
| ~DecisionTreeRegressor() | mlpack::tree::DecisionTreeRegressor< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, NoRecursion > | |
