aGrUM
3.2.0
a C++ library for (probabilistic) graphical models
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indepTestG2.cpp
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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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* (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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#include <
agrum/base/stattests/indepTestG2.h
>
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#ifndef DOXYGEN_SHOULD_SKIP_THIS
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# ifdef GUM_NO_INLINE
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# include <
agrum/base/stattests/indepTestG2_inl.h
>
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# endif
/* GUM_NO_INLINE */
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namespace
gum
{
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namespace
learning
{
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IndepTestG2
&
IndepTestG2::operator=
(
const
IndepTestG2
& from) =
default
;
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IndepTestG2
&
IndepTestG2::operator=
(
IndepTestG2
&& from)
noexcept
{
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IndependenceTest::operator=
(std::move(from));
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return
*
this
;
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}
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std::pair< double, double >
IndepTestG2::statistics_
(
const
IdCondSet
& idset) {
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// computeStatistics_ guarantees margX * margY != 0 before calling this lambda,
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// so the log argument is well-defined — no need to guard against E == 0 here.
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return
computeStatistics_
(idset, [](
double
O,
double
margX,
double
margY,
double
total) {
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if
(O == 0.0)
return
0.0;
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return
2.0 * O * std::log((O * total) / (margX * margY));
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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::IdCondSet
A class for storing a pair of sets of NodeIds, the second one corresponding to a conditional set.
Definition
idCondSet.h:214
gum::learning::IndepTestG2
the class for computing G2 independence test scores
Definition
indepTestG2.h:66
gum::learning::IndepTestG2::operator=
IndepTestG2 & operator=(const IndepTestG2 &from)
copy operator
gum::learning::IndepTestG2::statistics_
std::pair< double, double > statistics_(const IdCondSet &idset)
compute the pair <G2 statistic,pvalue>
gum::learning::IndependenceTest::operator=
IndependenceTest & operator=(const IndependenceTest &from)
copy operator
gum::learning::IndependenceTest::computeStatistics_
std::pair< double, double > computeStatistics_(const IdCondSet &idset, CellContribFn cellContrib)
shared loop for chi-squared-family statistics
indepTestG2.h
the class for computing G2 scores
indepTestG2_inl.h
the class for computing G2 scores
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
aGrUM
3.2.0
© PHW&CG&others - 2022
DoXyGeN 1.18.0