mlpack
2.2.5
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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... | |
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.