decision_tree.hpp File Reference
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Classes | |
| class | DecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, 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 DimensionSelectType = AllDimensionSelect > | |
| using | DecisionStump = DecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectType, false > |
| Convenience typedef for decision stumps (single level decision trees). More... | |
| typedef DecisionTree< InformationGain, BestBinaryNumericSplit, AllCategoricalSplit, AllDimensionSelect, true > | ID3DecisionStump |
| Convenience typedef for ID3 decision stumps (single level decision trees made with the ID3 algorithm). More... | |
Detailed Description
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.