aGrUM
3.2.0
a C++ library for (probabilistic) graphical models
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K2Prior_inl.h
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/****************************************************************************
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* This file is part of the aGrUM/pyAgrum library. *
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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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* The aGrUM/pyAgrum library is free software; you can redistribute it *
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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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****************************************************************************/
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#pragma once
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#include <
agrum/base/stattests/priors/K2Prior.h
>
// to ease IDE parser
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#ifndef DOXYGEN_SHOULD_SKIP_THIS
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# include <
agrum/base/stattests/priors/K2Prior.h
>
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namespace
gum
{
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namespace
learning
{
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INLINE
K2Prior::K2Prior
(
const
DatabaseTable
& database,
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const
Bijection< NodeId, std::size_t >& nodeId2columns) :
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SmoothingPrior
(database, nodeId2columns) {
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GUM_CONSTRUCTOR(K2Prior);
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}
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INLINE K2Prior::K2Prior(
const
K2Prior& from) : SmoothingPrior(from) { GUM_CONS_CPY(K2Prior); }
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INLINE K2Prior::K2Prior(K2Prior&& from) : SmoothingPrior(
std
::move(from)) {
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GUM_CONS_MOV(K2Prior);
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}
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INLINE K2Prior* K2Prior::clone()
const
{
return
new
K2Prior(*
this
); }
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INLINE K2Prior::~K2Prior() { GUM_DESTRUCTOR(K2Prior); }
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INLINE K2Prior& K2Prior::operator=(
const
K2Prior& from) =
default
;
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INLINE K2Prior& K2Prior::operator=(K2Prior&& from) {
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SmoothingPrior::operator=(std::move(from));
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return
*
this
;
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}
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INLINE
void
K2Prior::setWeight(
const
double
weight) {}
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}
/* namespace learning */
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}
/* namespace gum */
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#endif
/* DOXYGEN_SHOULD_SKIP_THIS */
K2Prior.h
the internal prior for the K2 score = Laplace Prior
gum::learning::DatabaseTable
The class representing a tabular database as used by learning tasks.
Definition
databaseTable.h:200
gum::learning::K2Prior::K2Prior
K2Prior(const DatabaseTable &database, const Bijection< NodeId, std::size_t > &nodeId2columns=Bijection< NodeId, std::size_t >())
default constructor
gum::learning::SmoothingPrior
the smooth a priori: adds a weight w to all the counts
Definition
smoothingPrior.h:65
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
std
STL namespace.
aGrUM
3.2.0
© PHW&CG&others - 2022
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