aGrUM
3.2.0
a C++ library for (probabilistic) graphical models
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Dirichlet.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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* useful, but WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, *
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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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#ifndef GUM_LEARNING_DIRICHLET_H
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#define GUM_LEARNING_DIRICHLET_H
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#include <vector>
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#include <
agrum/agrum.h
>
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#include <
agrum/base/core/utils_random.h
>
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namespace
gum
{
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// =========================================================================
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// === DIRICHLET CLASS ===
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// =========================================================================
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class
Dirichlet
{
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public
:
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using
param_type
= std::vector< float >;
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using
result_type
= std::vector< float >;
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// ==========================================================================
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// ==========================================================================
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Dirichlet
(
const
param_type
& params);
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Dirichlet
(
const
Dirichlet
& from);
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Dirichlet
(
Dirichlet
&& from);
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~Dirichlet
();
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// ==========================================================================
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// ==========================================================================
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Dirichlet
&
operator=
(
const
Dirichlet
& from);
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Dirichlet
&
operator=
(
Dirichlet
&& from);
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result_type
operator()
();
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result_type
operator()
(
const
param_type
& p);
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// ==========================================================================
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// ==========================================================================
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const
param_type
&
param
() const noexcept;
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void
param
(const
param_type
& p);
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float
min
() const noexcept;
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float
max
() const noexcept;
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private:
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std
::gamma_distribution<
float
>
_gamma_
;
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param_type
_params_
;
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};
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}
/* namespace gum */
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// include the inlined functions if necessary
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#ifndef GUM_NO_INLINE
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# include <
agrum/base/core/math/Dirichlet_inl.h
>
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#endif
/* GUM_NO_INLINE */
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#endif
/* GUM_LEARNING_DIRICHLET_H */
Dirichlet_inl.h
a class for sampling w.r.t.
agrum.h
gum::Dirichlet::operator=
Dirichlet & operator=(const Dirichlet &from)
Copy operator.
Definition
Dirichlet_inl.h:76
gum::Dirichlet::operator()
result_type operator()()
Returns a sample from the Dirichlet distribution.
Definition
Dirichlet_inl.h:94
gum::Dirichlet::_gamma_
std::gamma_distribution< float > _gamma_
The gamma distribution used to compute the Dirichlet unnormalized samples.
Definition
Dirichlet.h:179
gum::Dirichlet::param_type
std::vector< float > param_type
The parameter type.
Definition
Dirichlet.h:72
gum::Dirichlet::max
float max() const noexcept
Returns the lowest higher bound of the range of values returned by gum::Dirichlet::operator()().
Definition
Dirichlet_inl.h:145
gum::Dirichlet::Dirichlet
Dirichlet(const param_type ¶ms)
Default constructor.
Definition
Dirichlet_inl.h:54
gum::Dirichlet::_params_
param_type _params_
The parameters of the distribution.
Definition
Dirichlet.h:182
gum::Dirichlet::param
const param_type & param() const noexcept
Returns the parameters of the distribution.
Definition
Dirichlet_inl.h:132
gum::Dirichlet::result_type
std::vector< float > result_type
The type for the samples generated.
Definition
Dirichlet.h:75
gum::Dirichlet::min
float min() const noexcept
Returns the greatest lower bound of the range of values returned by gum::Dirichlet::operator()().
Definition
Dirichlet_inl.h:142
gum
gum is the global namespace for all aGrUM entities
Definition
agrum.h:46
std
STL namespace.
utils_random.h
Contains useful methods for random stuff.
aGrUM
3.2.0
© PHW&CG&others - 2022
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