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aGrUM
0.20.3
a C++ library for (probabilistic) graphical models
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Copyright (c) 2005-2021 by Pierre-Henri WUILLEMIN() & Christophe GONZALES() info_at_agrum_dot_org. More...
#include <agrum/BN/inference/GibbsSampling.h>
Go to the source code of this file.
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gum | |
Copyright (c) 2005-2021 by Pierre-Henri WUILLEMIN() & Christophe GONZALES() info_at_agrum_dot_org. | |
Macros | |
#define | GIBBS_SAMPLING_DEFAULT_EPSILON std::exp(-1.6) |
#define | GIBBS_SAMPLING_DEFAULT_MIN_EPSILON_RATE std::exp(-5) |
#define | GIBBS_SAMPLING_DEFAULT_BURNIN 300 |
#define | GIBBS_SAMPLING_POURCENT_DRAWN_SAMPLE 50 |
#define | GIBBS_SAMPLING_DRAWN_AT_RANDOM true |
Copyright (c) 2005-2021 by Pierre-Henri WUILLEMIN() & Christophe GONZALES() info_at_agrum_dot_org.
This library is free software: you can redistribute it and/or modify it under the terms of the GNU Lesser General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
This library is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more details.
You should have received a copy of the GNU Lesser General Public License along with this library. If not, see http://www.gnu.org/licenses/.
Implementation of Gibbs Sampling for inference in Bayesian networks.
Definition in file GibbsSampling_tpl.h.
#define GIBBS_SAMPLING_DEFAULT_BURNIN 300 |
Definition at line 33 of file GibbsSampling_tpl.h.
#define GIBBS_SAMPLING_DEFAULT_EPSILON std::exp(-1.6) |
Definition at line 31 of file GibbsSampling_tpl.h.
#define GIBBS_SAMPLING_DEFAULT_MIN_EPSILON_RATE std::exp(-5) |
Definition at line 32 of file GibbsSampling_tpl.h.
#define GIBBS_SAMPLING_DRAWN_AT_RANDOM true |
Definition at line 36 of file GibbsSampling_tpl.h.
#define GIBBS_SAMPLING_POURCENT_DRAWN_SAMPLE 50 |
Definition at line 35 of file GibbsSampling_tpl.h.