aGrUM 2.3.2
a C++ library for (probabilistic) graphical models
multiDimNoisyORNet.h
Go to the documentation of this file.
1/****************************************************************************
2 * This file is part of the aGrUM/pyAgrum library. *
3 * *
4 * Copyright (c) 2005-2025 by *
5 * - Pierre-Henri WUILLEMIN(_at_LIP6) *
6 * - Christophe GONZALES(_at_AMU) *
7 * *
8 * The aGrUM/pyAgrum library is free software; you can redistribute it *
9 * and/or modify it under the terms of either : *
10 * *
11 * - the GNU Lesser General Public License as published by *
12 * the Free Software Foundation, either version 3 of the License, *
13 * or (at your option) any later version, *
14 * - the MIT license (MIT), *
15 * - or both in dual license, as here. *
16 * *
17 * (see https://agrum.gitlab.io/articles/dual-licenses-lgplv3mit.html) *
18 * *
19 * This aGrUM/pyAgrum library is distributed in the hope that it will be *
20 * useful, but WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, *
21 * INCLUDING BUT NOT LIMITED TO THE WARRANTIES MERCHANTABILITY or FITNESS *
22 * FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE *
23 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER *
24 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, *
25 * ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR *
26 * OTHER DEALINGS IN THE SOFTWARE. *
27 * *
28 * See LICENCES for more details. *
29 * *
30 * SPDX-FileCopyrightText: Copyright 2005-2025 *
31 * - Pierre-Henri WUILLEMIN(_at_LIP6) *
32 * - Christophe GONZALES(_at_AMU) *
33 * SPDX-License-Identifier: LGPL-3.0-or-later OR MIT *
34 * *
35 * Contact : info_at_agrum_dot_org *
36 * homepage : http://agrum.gitlab.io *
37 * gitlab : https://gitlab.com/agrumery/agrum *
38 * *
39 ****************************************************************************/
40
41
48#ifndef GUM_MULTI_DIM_NOISY_OR_NET_H
49#define GUM_MULTI_DIM_NOISY_OR_NET_H
50
52
53namespace gum {
54
55 // clang-format off
72 // clang-format on
73
74 template < typename GUM_SCALAR >
75 class MultiDimNoisyORNet final: public MultiDimICIModel< GUM_SCALAR > {
76 public:
77 // ============================================================================
79 // ============================================================================
81
83 MultiDimNoisyORNet(GUM_SCALAR external_weight, GUM_SCALAR default_weight = (GUM_SCALAR)1.0);
84
86
95
97 virtual ~MultiDimNoisyORNet();
98
100
119
120 // ============================================================================
122 // ============================================================================
124
125 public:
126 virtual GUM_SCALAR get(const Instantiation& i) const;
127
128 std::string toString() const;
129
131
142 virtual const std::string& name() const;
143
145 };
146
147
148#ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
149 extern template class MultiDimNoisyORNet< double >;
150#endif
151
153 template < typename GUM_SCALAR >
154 std::ostream& operator<<(std::ostream& s, const MultiDimNoisyORNet< GUM_SCALAR >& ag);
155
156} /* namespace gum */
157
159
160#endif /* GUM_MULTI_DIM_NOISY_OR_NET_H */
Set of pairs of elements with fast search for both elements.
Definition bijection.h:1594
Class for assigning/browsing values to tuples of discrete variables.
Abstract base class for all multi dimensionnal containers.
MultiDimICIModel(GUM_SCALAR external_weight, GUM_SCALAR default_weight=(GUM_SCALAR) 1.0)
Default constructor.
Noisy OR representation.
std::string toString() const
Returns the real name of the multiDimArray.
virtual ~MultiDimNoisyORNet()
Destructor.
virtual const std::string & name() const
Returns the real name of the multiDimArray.
virtual GUM_SCALAR get(const Instantiation &i) const
Returns the real name of the multiDimArray.
MultiDimNoisyORNet(GUM_SCALAR external_weight, GUM_SCALAR default_weight=(GUM_SCALAR) 1.0)
Default constructor.
virtual MultiDimContainer< GUM_SCALAR > * newFactory() const
This method creates a clone of this object, withouth its content (including variable),...
Abstract base class for all multi dimensionnal Causal Independency models.
class for NoisyOR-net implementation as multiDim
gum is the global namespace for all aGrUM entities
Definition agrum.h:46
std::ostream & operator<<(std::ostream &stream, const AVLTree< Val, Cmp > &tree)
display the content of a tree
Definition AVLTree.h:913