random_forest.hpp File Reference

#include <mlpack/methods/decision_tree/decision_tree.hpp>
#include <mlpack/methods/decision_tree/multiple_random_dimension_select.hpp>
#include "bootstrap.hpp"
#include "random_forest_impl.hpp"

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Classes
class	mlpack::tree::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	mlpack::tree::ExtraTrees = RandomForest< FitnessFunction, DimensionSelectionType, RandomBinaryNumericSplit, CategoricalSplitType, false >
	Convenience typedef for Extra Trees. More...

Detailed Description

Author

Ryan Curtin

Definition of the RandomForest class.

mlpack is free software; you may redistribute it and/or modify it under the terms of the 3-clause BSD license. You should have received a copy of the 3-clause BSD license along with mlpack. If not, see http://www.opensource.org/licenses/BSD-3-Clause for more information.