mse_gain.hpp File Reference
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Classes

class  MSEGain
 The MSE (Mean squared error) gain, is a measure of set purity based on the variance of response values present in the node. More...

 

Namespaces

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

Detailed Description

Author
Rishabh Garg

The mean squared error gain class, which is a fitness funtion for regression based decision trees.

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 mse_gain.hpp.