#include <mlpack/prereqs.hpp>#include "mad_gain.hpp"#include "mse_gain.hpp"#include "best_binary_numeric_split.hpp"#include "all_categorical_split.hpp"#include "random_binary_numeric_split.hpp"#include "all_dimension_select.hpp"#include <type_traits>#include "decision_tree_regressor_impl.hpp"
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Classes | |
| class | mlpack::tree::DecisionTreeRegressor< 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. | |
Detailed Description
The decision tree regressor class. Its behavior can be controlled via the 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.
