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Classes | |
class | RandomForest< FitnessFunction, DimensionSelectionType, NumericSplitType, CategoricalSplitType, UseBootstrap > |
The RandomForest class provides an implementation of random forests, described in Breiman's seminal paper: More... | |
Namespaces | |
mlpack | |
Linear algebra utility functions, generally performed on matrices or vectors. | |
mlpack::tree | |
Trees and tree-building procedures. | |
Typedefs | |
template < typename FitnessFunction = GiniGain , typename DimensionSelectionType = MultipleRandomDimensionSelect , template < typename > class CategoricalSplitType = AllCategoricalSplit > | |
using | ExtraTrees = RandomForest< FitnessFunction, DimensionSelectionType, RandomBinaryNumericSplit, CategoricalSplitType, false > |
Convenience typedef for Extra Trees. More... | |
Definition of the RandomForest class.
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Definition in file random_forest.hpp.