69 lines
2 KiB
C++
69 lines
2 KiB
C++
/*
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The Evolving Distribution Objects framework (EDO) is a template-based,
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ANSI-C++ evolutionary computation library which helps you to write your
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own estimation of distribution algorithms.
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This library is free software; you can redistribute it and/or
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modify it under the terms of the GNU Lesser General Public
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License as published by the Free Software Foundation; either
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version 2.1 of the License, or (at your option) any later version.
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This library is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
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Lesser General Public License for more details.
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You should have received a copy of the GNU Lesser General Public
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License along with this library; if not, write to the Free Software
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Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
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Copyright (C) 2013 Thales group
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*/
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/*
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Authors:
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Johann Dréo <johann.dreo@thalesgroup.com>
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*/
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#ifndef _edoBinomial_h
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#define _edoBinomial_h
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#include <vector>
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#include "edoDistrib.h"
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/** @defgroup Binomial Binomial
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* A binomial distribution that model marginal probabilities across boolean
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* variables.
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*
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* @ingroup Distributions
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*/
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/** A binomial distribution that model marginal probabilities across variables.
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*
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* @ingroup Distributions
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* @ingroup Binomial
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*/
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template<class EOT, class T=std::vector<double> >
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class edoBinomial : public edoDistrib<EOT>, public T
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{
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public:
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typedef double AtomType; // FIXME use container atom type
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/** This constructor takes an initial vector of probabilities.
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* Use it if you have prior knowledge.
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*/
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edoBinomial( T initial_probas ) : T(initial_probas) {}
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/** This constructor makes no assumption about initial probabilities.
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* Every probabilities are set to 0.0.
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*/
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edoBinomial( size_t dim, double p = 0.0 ) : T(dim,p) {}
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/** Constructor without any assumption.
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* Will create a vector of size 1 with a probability of 0.0.
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*/
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edoBinomial() : T(1,0.0) {}
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};
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#endif // !_edoBinomial_h
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