aGrUM
3.2.0
a C++ library for (probabilistic) graphical models
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scoreBDeu_inl.h
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/****************************************************************************
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* This file is part of the aGrUM/pyAgrum library. *
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* *
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* Copyright (c) 2005-2026 by *
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* - Pierre-Henri WUILLEMIN(_at_LIP6) *
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* - Christophe GONZALES(_at_AMU) *
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* *
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* The aGrUM/pyAgrum library is free software; you can redistribute it *
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* and/or modify it under the terms of either : *
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* *
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* - the GNU Lesser General Public License as published by *
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* the Free Software Foundation, either version 3 of the License, *
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* or (at your option) any later version, *
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* - the MIT license (MIT), *
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* - or both in dual license, as here. *
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* *
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* (see https://agrum.gitlab.io/articles/dual-licenses-lgplv3mit.html) *
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* This aGrUM/pyAgrum library is distributed in the hope that it will be *
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* See LICENCES for more details. *
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* *
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* SPDX-FileCopyrightText: Copyright 2005-2026 *
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* - Pierre-Henri WUILLEMIN(_at_LIP6) *
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* - Christophe GONZALES(_at_AMU) *
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* SPDX-License-Identifier: LGPL-3.0-or-later OR MIT *
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* *
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* Contact : info_at_agrum_dot_org *
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* homepage : http://agrum.gitlab.io *
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* gitlab : https://gitlab.com/agrumery/agrum *
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* *
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****************************************************************************/
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#pragma once
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#include <
agrum/BN/learning/scores/scoreBDeu.h
>
// to ease IDE parser
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#ifndef DOXYGEN_SHOULD_SKIP_THIS
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# include <sstream>
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# include <
agrum/BN/learning/scores/scoreBDeu.h
>
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namespace
gum
{
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namespace
learning
{
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// Constructors and destructor are defined out-of-line in scoreBDeu.cpp
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// on purpose -- see the comment there.
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INLINE
ScoreBDeu
*
ScoreBDeu::clone
()
const
{
return
new
ScoreBDeu
(*
this
); }
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INLINE std::string
ScoreBDeu::isPriorCompatible
(
const
Prior
& prior) {
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return
isPriorCompatible
(prior.getType(), prior.weight());
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}
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INLINE std::string
ScoreBDeu::isPriorCompatible
()
const
{
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return
isPriorCompatible
(*(this->
prior_
));
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}
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INLINE
const
Prior
&
ScoreBDeu::internalPrior
()
const
{
return
_internal_prior_; }
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INLINE
void
ScoreBDeu::setEffectiveSampleSize
(
double
ess) {
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if
(ess < 0) {
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GUM_ERROR
(OutOfBounds,
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"The effective sample size of the BDeu's "
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"internal prior must be positive"
);
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}
else
{
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_internal_prior_.setEffectiveSampleSize(ess);
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}
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}
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}
/* namespace learning */
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}
/* namespace gum */
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#endif
/* DOXYGEN_SHOULD_SKIP_THIS */
gum::learning::Prior
the base class for all a priori
Definition
prior.h:84
gum::learning::ScoreBDeu
the class for computing BDeu scores
Definition
scoreBDeu.h:77
gum::learning::ScoreBDeu::clone
ScoreBDeu * clone() const override
virtual copy constructor
gum::learning::ScoreBDeu::setEffectiveSampleSize
void setEffectiveSampleSize(double ess)
sets the effective sample size of the internal prior
gum::learning::ScoreBDeu::isPriorCompatible
std::string isPriorCompatible() const final
indicates whether the prior is compatible (meaningful) with the score
gum::learning::ScoreBDeu::ScoreBDeu
ScoreBDeu(const DBRowGeneratorParser &parser, const Prior &prior, const std::vector< std::pair< std::size_t, std::size_t > > &ranges, const Bijection< NodeId, std::size_t > &nodeId2columns=Bijection< NodeId, std::size_t >())
default constructor
gum::learning::ScoreBDeu::internalPrior
const Prior & internalPrior() const final
returns the internal prior of the score
gum::learning::Score::prior_
Prior * prior_
the expert knowledge a priorwe add to the score
Definition
score.h:238
GUM_ERROR
#define GUM_ERROR(type, msg)
Definition
exceptions.h:76
gum::learning
include the inlined functions if necessary
Definition
CSVParser.h:55
gum
gum is the global namespace for all aGrUM entities
Definition
agrum.h:46
scoreBDeu.h
the class for computing BDeu scores
aGrUM
3.2.0
© PHW&CG&others - 2022
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