decision_tree.hpp File Reference

Include dependency graph for decision_tree.hpp:

Go to the source code of this file.

Classes
class	mlpack::tree::DecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, ElemType, NoRecursion >
	This class implements a generic decision tree learner. 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, template< typename > class NumericSplitType = BestBinaryNumericSplit, template< typename > class CategoricalSplitType = AllCategoricalSplit, typename ElemType = double>
using	mlpack::tree::DecisionStump = DecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, ElemType, false >
	Convenience typedef for decision stumps (single level decision trees). More...

Detailed Description

Author

Ryan Curtin

A generic decision tree learner. Its behavior can be controlled via template arguments.

Definition in file decision_tree.hpp.