Add multi-Binomial distrib operators in EDO

So as to model vector<vector<bool>> individuals with 2D binomial distributions (as Eigen matrix).
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Johann Dreo 2013-03-07 20:33:09 +01:00
commit b06250dc39
6 changed files with 321 additions and 0 deletions

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/*
The Evolving Distribution Objects framework (EDO) is a template-based,
ANSI-C++ evolutionary computation library which helps you to write your
own estimation of distribution algorithms.
This library is free software; you can redistribute it and/or
modify it under the terms of the GNU Lesser General Public
License as published by the Free Software Foundation; either
version 2.1 of the License, or (at your option) any later version.
This library is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
Lesser General Public License for more details.
You should have received a copy of the GNU Lesser General Public
License along with this library; if not, write to the Free Software
Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
Copyright (C) 2013 Thales group
*/
/*
Authors:
Johann Dréo <johann.dreo@thalesgroup.com>
*/
#ifndef _edoBinomialMulti_h
#define _edoBinomialMulti_h
#include "edoBinomial.h"
#ifdef WITH_EIGEN // FIXME: provide an uBLAS implementation
#include <Eigen/Dense>
/** A 2D binomial distribution modeled as a matrix.
*
* i.e. a container of binomial distribution.
*
* @ingroup Distributions
* @ingroup Binomial
*/
template<class EOT, class T=Eigen::MatrixXd>
class edoBinomialMulti : public edoDistrib<EOT>, public T
{
public:
/** This constructor takes an initial matrix of probabilities.
* Use it if you have prior knowledge.
*/
edoBinomialMulti( T initial_probas )
: T(initial_probas) {}
/** Constructor without any assumption.
*/
edoBinomialMulti() {}
};
#endif // WITH_EIGEN
#endif // !_edoBinomialMulti_h