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aGrUM 2.3.2
a C++ library for (probabilistic) graphical models
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Implementation of the non pure virtual methods of class ApproximateInference. More...
#include <agrum/BN/algorithms/barrenNodesFinder.h>#include <agrum/BN/algorithms/dSeparationAlgorithm.h>#include <agrum/BN/BayesNetFragment.h>#include <agrum/BN/inference/tools/samplingInference.h>Go to the source code of this file.
Namespaces | |
| namespace | gum |
| gum is the global namespace for all aGrUM entities | |
Macros | |
| #define | DEFAULT_MAXITER 10000000 |
| #define | DEFAULT_PERIOD_SIZE 100 |
| #define | DEFAULT_VERBOSITY false |
| #define | DEFAULT_TIMEOUT 6000 |
| #define | DEFAULT_EPSILON 1e-2 |
| #define | DEFAULT_MIN_EPSILON_RATE 1e-5 |
Implementation of the non pure virtual methods of class ApproximateInference.
Definition in file samplingInference_tpl.h.
| #define DEFAULT_EPSILON 1e-2 |
Definition at line 61 of file samplingInference_tpl.h.
Referenced by gum::SamplingInference< GUM_SCALAR >::SamplingInference().
| #define DEFAULT_MAXITER 10000000 |
Definition at line 57 of file samplingInference_tpl.h.
Referenced by gum::SamplingInference< GUM_SCALAR >::SamplingInference().
| #define DEFAULT_MIN_EPSILON_RATE 1e-5 |
Definition at line 62 of file samplingInference_tpl.h.
Referenced by gum::SamplingInference< GUM_SCALAR >::SamplingInference().
| #define DEFAULT_PERIOD_SIZE 100 |
Definition at line 58 of file samplingInference_tpl.h.
Referenced by gum::SamplingInference< GUM_SCALAR >::SamplingInference().
| #define DEFAULT_TIMEOUT 6000 |
Definition at line 60 of file samplingInference_tpl.h.
Referenced by gum::SamplingInference< GUM_SCALAR >::SamplingInference().
| #define DEFAULT_VERBOSITY false |
Definition at line 59 of file samplingInference_tpl.h.
Referenced by gum::SamplingInference< GUM_SCALAR >::SamplingInference().