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Classes
class	HardShrink< InputDataType, OutputDataType >
	Hard Shrink operator is defined as, $\begin{eqnarray} f(x) &=& \left\{ \begin{array}{lr} x & : x > lambda \\ x & : x < -lambda \\ 0 & : otherwise \end{array} \\ \right. f'(x) &=& \left\{ \begin{array}{lr} 1 & : x > lambda \\ 1 & : x < -lambda \\ 0 & : otherwise \end{array} \right. \end{eqnarray}$ lambda is set to 0.5 by default. More...

Namespaces
	mlpack
	strip_type.hpp

	mlpack::ann
	Artificial Neural Network.

Detailed Description

Author: Lakshya Ojha

Same as soft thresholding, if its amplitude is smaller than a predefined threshold, it will be set to zero (kill), otherwise it will be kept unchanged. In order to promote sparsity and to improve the approximation, the hard thresholding method is used as an alternative.

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 hardshrink.hpp.

Classes

Namespaces

Detailed Description