mlpack
mlpack::tree::RandomForest< FitnessFunction, DimensionSelectionType, NumericSplitType, CategoricalSplitType, UseBootstrap > Member List

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

Classify(const VecType &point) constmlpack::tree::RandomForest< FitnessFunction, DimensionSelectionType, NumericSplitType, CategoricalSplitType, UseBootstrap >
Classify(const VecType &point, size_t &prediction, arma::vec &probabilities) constmlpack::tree::RandomForest< FitnessFunction, DimensionSelectionType, NumericSplitType, CategoricalSplitType, UseBootstrap >
Classify(const MatType &data, arma::Row< size_t > &predictions) constmlpack::tree::RandomForest< FitnessFunction, DimensionSelectionType, NumericSplitType, CategoricalSplitType, UseBootstrap >
Classify(const MatType &data, arma::Row< size_t > &predictions, arma::mat &probabilities) constmlpack::tree::RandomForest< FitnessFunction, DimensionSelectionType, NumericSplitType, CategoricalSplitType, UseBootstrap >
DecisionTreeType typedefmlpack::tree::RandomForest< FitnessFunction, DimensionSelectionType, NumericSplitType, CategoricalSplitType, UseBootstrap >
NumTrees() constmlpack::tree::RandomForest< FitnessFunction, DimensionSelectionType, NumericSplitType, CategoricalSplitType, UseBootstrap >inline
RandomForest()mlpack::tree::RandomForest< FitnessFunction, DimensionSelectionType, NumericSplitType, CategoricalSplitType, UseBootstrap >
RandomForest(const MatType &dataset, const arma::Row< size_t > &labels, const size_t numClasses, const size_t numTrees=20, const size_t minimumLeafSize=1, const double minimumGainSplit=1e-7, const size_t maximumDepth=0, DimensionSelectionType dimensionSelector=DimensionSelectionType())mlpack::tree::RandomForest< FitnessFunction, DimensionSelectionType, NumericSplitType, CategoricalSplitType, UseBootstrap >
RandomForest(const MatType &dataset, const data::DatasetInfo &datasetInfo, const arma::Row< size_t > &labels, const size_t numClasses, const size_t numTrees=20, const size_t minimumLeafSize=1, const double minimumGainSplit=1e-7, const size_t maximumDepth=0, DimensionSelectionType dimensionSelector=DimensionSelectionType())mlpack::tree::RandomForest< FitnessFunction, DimensionSelectionType, NumericSplitType, CategoricalSplitType, UseBootstrap >
RandomForest(const MatType &dataset, const arma::Row< size_t > &labels, const size_t numClasses, const arma::rowvec &weights, const size_t numTrees=20, const size_t minimumLeafSize=1, const double minimumGainSplit=1e-7, const size_t maximumDepth=0, DimensionSelectionType dimensionSelector=DimensionSelectionType())mlpack::tree::RandomForest< FitnessFunction, DimensionSelectionType, NumericSplitType, CategoricalSplitType, UseBootstrap >
RandomForest(const MatType &dataset, const data::DatasetInfo &datasetInfo, const arma::Row< size_t > &labels, const size_t numClasses, const arma::rowvec &weights, const size_t numTrees=20, const size_t minimumLeafSize=1, const double minimumGainSplit=1e-7, const size_t maximumDepth=0, DimensionSelectionType dimensionSelector=DimensionSelectionType())mlpack::tree::RandomForest< FitnessFunction, DimensionSelectionType, NumericSplitType, CategoricalSplitType, UseBootstrap >
serialize(Archive &ar, const uint32_t)mlpack::tree::RandomForest< FitnessFunction, DimensionSelectionType, NumericSplitType, CategoricalSplitType, UseBootstrap >
Train(const MatType &data, const arma::Row< size_t > &labels, const size_t numClasses, const size_t numTrees=20, const size_t minimumLeafSize=1, const double minimumGainSplit=1e-7, const size_t maximumDepth=0, const bool warmStart=false, DimensionSelectionType dimensionSelector=DimensionSelectionType())mlpack::tree::RandomForest< FitnessFunction, DimensionSelectionType, NumericSplitType, CategoricalSplitType, UseBootstrap >
Train(const MatType &data, const data::DatasetInfo &datasetInfo, const arma::Row< size_t > &labels, const size_t numClasses, const size_t numTrees=20, const size_t minimumLeafSize=1, const double minimumGainSplit=1e-7, const size_t maximumDepth=0, const bool warmStart=false, DimensionSelectionType dimensionSelector=DimensionSelectionType())mlpack::tree::RandomForest< FitnessFunction, DimensionSelectionType, NumericSplitType, CategoricalSplitType, UseBootstrap >
Train(const MatType &data, const arma::Row< size_t > &labels, const size_t numClasses, const arma::rowvec &weights, const size_t numTrees=20, const size_t minimumLeafSize=1, const double minimumGainSplit=1e-7, const size_t maximumDepth=0, const bool warmStart=false, DimensionSelectionType dimensionSelector=DimensionSelectionType())mlpack::tree::RandomForest< FitnessFunction, DimensionSelectionType, NumericSplitType, CategoricalSplitType, UseBootstrap >
Train(const MatType &data, const data::DatasetInfo &datasetInfo, const arma::Row< size_t > &labels, const size_t numClasses, const arma::rowvec &weights, const size_t numTrees=20, const size_t minimumLeafSize=1, const double minimumGainSplit=1e-7, const size_t maximumDepth=0, const bool warmStart=false, DimensionSelectionType dimensionSelector=DimensionSelectionType())mlpack::tree::RandomForest< FitnessFunction, DimensionSelectionType, NumericSplitType, CategoricalSplitType, UseBootstrap >
Tree(const size_t i) constmlpack::tree::RandomForest< FitnessFunction, DimensionSelectionType, NumericSplitType, CategoricalSplitType, UseBootstrap >inline
Tree(const size_t i)mlpack::tree::RandomForest< FitnessFunction, DimensionSelectionType, NumericSplitType, CategoricalSplitType, UseBootstrap >inline
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