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src
shogun
optimization
SparsePenalty.h
Go to the documentation of this file.
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/*
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* Copyright (c) The Shogun Machine Learning Toolbox
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* Written (w) 2015 Wu Lin
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* All rights reserved.
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*
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* Redistribution and use in source and binary forms, with or without
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* modification, are permitted provided that the following conditions are met:
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*
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* 1. Redistributions of source code must retain the above copyright notice, this
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* list of conditions and the following disclaimer.
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* 2. Redistributions in binary form must reproduce the above copyright notice,
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* this list of conditions and the following disclaimer in the documentation
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* and/or other materials provided with the distribution.
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*
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
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* ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
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* WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
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* DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
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* ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
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* (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
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* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
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* ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
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* SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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*
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* The views and conclusions contained in the software and documentation are those
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* of the authors and should not be interpreted as representing official policies,
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* either expressed or implied, of the Shogun Development Team.
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*
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*/
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#ifndef SPARSEPENALTY_H
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#define SPARSEPENALTY_H
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#include <
shogun/optimization/ProximalPenalty.h
>
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namespace
shogun
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{
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class
SparsePenalty
:
public
ProximalPenalty
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{
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public
:
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virtual
~SparsePenalty
() {};
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virtual
float64_t
get_sparse_variable
(
float64_t
variable,
float64_t
penalty_weight)=0;
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};
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}
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#endif
shogun::SparsePenalty::get_sparse_variable
virtual float64_t get_sparse_variable(float64_t variable, float64_t penalty_weight)=0
shogun::SparsePenalty
The base class for sparse penalty/regularization used in minimization.
Definition:
SparsePenalty.h:46
shogun::ProximalPenalty
The base class for sparse penalty/regularization used in minimization.
Definition:
ProximalPenalty.h:50
float64_t
double float64_t
Definition:
common.h:50
shogun::SparsePenalty::~SparsePenalty
virtual ~SparsePenalty()
Definition:
SparsePenalty.h:49
shogun
all of classes and functions are contained in the shogun namespace
Definition:
class_list.h:18
ProximalPenalty.h
SHOGUN
Machine Learning Toolbox - Documentation