binary_numeric_split.hpp File Reference
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Classes

class  BinaryNumericSplit< FitnessFunction, ObservationType >
 The BinaryNumericSplit class implements the numeric feature splitting strategy devised by Gama, Rocha, and Medas in the following paper: More...

 

Namespaces

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

Typedefs

template
<
typename
FitnessFunction
>
using BinaryDoubleNumericSplit = BinaryNumericSplit< FitnessFunction, double >
 

Detailed Description

Author
Ryan Curtin

An implementation of the binary-tree-based numeric splitting procedure described by Gama, Rocha, and Medas in their KDD 2003 paper.

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 binary_numeric_split.hpp.