decision_tree.hpp File Reference
Include dependency graph for decision_tree.hpp:
This graph shows which files directly or indirectly include this file:

Go to the source code of this file.


class  DecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion >
 This class implements a generic decision tree learner. More...



Linear algebra utility functions, generally performed on matrices or vectors.
Trees and tree-building procedures.


template class NumericSplitType = BestBinaryNumericSplit, template< typename > class CategoricalSplitType = AllCategoricalSplit, typename DimensionSelectType = AllDimensionSelect, typename ElemType = double>
using DecisionStump = DecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectType, ElemType, false >
 Convenience typedef for decision stumps (single level decision trees). More...

typedef DecisionTree< InformationGain, BestBinaryNumericSplit, AllCategoricalSplit, AllDimensionSelect, double, true > ID3DecisionStump
 Convenience typedef for ID3 decision stumps (single level decision trees made with the ID3 algorithm). More...


Detailed Description

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 for more information.

Definition in file decision_tree.hpp.