aGrUM
3.2.0
a C++ library for (probabilistic) graphical models
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prior_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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* - 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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* (see https://agrum.gitlab.io/articles/dual-licenses-lgplv3mit.html) *
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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/base/stattests/priors/prior.h
>
// to ease IDE parser
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#ifndef DOXYGEN_SHOULD_SKIP_THIS
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namespace
gum::learning
{
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INLINE
Prior::Prior
(
const
DatabaseTable
& database,
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const
Bijection< NodeId, std::size_t >& nodeId2columns) :
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database_(&database), nodeId2columns_(nodeId2columns) {
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GUM_CONSTRUCTOR(Prior);
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}
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INLINE Prior::Prior(
const
Prior& from) :
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weight_(from.weight_), database_(from.database_), nodeId2columns_(from.nodeId2columns_) {
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GUM_CONS_CPY(Prior);
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}
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INLINE Prior::Prior(Prior&& from) noexcept :
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weight_(from.weight_), database_(from.database_),
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nodeId2columns_(std::move(from.nodeId2columns_)) {
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GUM_CONS_MOV(Prior);
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}
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INLINE Prior::~Prior() { GUM_DESTRUCTOR(Prior); }
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INLINE
void
Prior::setWeight(
const
double
weight) {
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if
(weight < 0.0) {
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GUM_ERROR
(
OutOfBounds
,
"A negative weight ("
<< weight <<
") is forbidden for an prior"
);
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}
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weight_ = weight;
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}
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INLINE
double
Prior::weight()
const
{
return
weight_; }
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}
// namespace gum::learning
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#endif
/* DOXYGEN_SHOULD_SKIP_THIS */
OutOfBounds
Exception : out of bound.
gum::learning::DatabaseTable
The class representing a tabular database as used by learning tasks.
Definition
databaseTable.h:200
gum::learning::Prior::Prior
Prior(const DatabaseTable &database, const Bijection< NodeId, std::size_t > &nodeId2columns=Bijection< NodeId, std::size_t >())
default constructor
GUM_ERROR
#define GUM_ERROR(type, msg)
Definition
exceptions.h:76
gum::learning
include the inlined functions if necessary
Definition
CSVParser.h:55
prior.h
the base class for all a priori
aGrUM
3.2.0
© PHW&CG&others - 2022
DoXyGeN 1.18.0