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decision_tree.hpp File Reference
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Classes

class  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 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.

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.

Definition in file decision_tree.hpp.