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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 <utility>
#include <agrum/tools/core/math/math_utils.h>
#include <agrum/BN/algorithms/barrenNodesFinder.h>
#include <agrum/BN/inference/tools/evidenceInference.h>
#include <agrum/BN/inference/tools/jointTargetedInference.h>
#include <agrum/BN/inference/tools/relevantPotentialsFinderType.h>
#include <agrum/agrum.h>
#include <agrum/tools/graphs/algorithms/triangulations/defaultTriangulation.h>
#include <agrum/BN/inference/lazyPropagation_tpl.h>
Go to the source code of this file.
Classes | |
class | gum::LazyPropagation< GUM_SCALAR > |
<agrum/BN/inference/lazyPropagation.h> More... | |
Namespaces | |
gum | |
Copyright (c) 2005-2021 by Pierre-Henri WUILLEMIN() & Christophe GONZALES() info_at_agrum_dot_org. | |
Functions | |
template<typename GUM_SCALAR > | |
static INLINE Potential< GUM_SCALAR > * | gum::LPNewmultiPotential (const Potential< GUM_SCALAR > &t1, const Potential< GUM_SCALAR > &t2) |
template<typename GUM_SCALAR > | |
static INLINE Potential< GUM_SCALAR > * | gum::LPNewprojPotential (const Potential< GUM_SCALAR > &t1, const Set< const DiscreteVariable * > &del_vars) |
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 a Shafer-Shenoy's-like version of lazy propagation for inference in Bayesian networks.
Definition in file lazyPropagation.h.