huber_loss.hpp File Reference
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Classes

class  HuberLoss< InputDataType, OutputDataType >
 The Huber loss is a loss function used in robust regression, that is less sensitive to outliers in data than the squared error loss. More...

 

Namespaces

 mlpack
 
Linear algebra utility functions, generally performed on matrices or vectors.
 
 mlpack::ann
 
Artificial Neural Network.
 

Detailed Description

Author
Mrityunjay Tripathi

Definition of the Huber loss function.

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 huber_loss.hpp.