28 #ifndef GUM_MONTE_CARLO_INFERENCE_H 29 #define GUM_MONTE_CARLO_INFERENCE_H 49 template <
typename GUM_SCALAR >
82 #ifndef GUM_NO_EXTERN_TEMPLATE_CLASS Class representing the minimal interface for Bayesian Network.
gum is the global namespace for all aGrUM entities
Instantiation _burnIn() override
draws a defined number of samples without updating the estimators
This file contains general methods for simulation-oriented approximate inference. ...
~MonteCarloSampling() override
Destructor.
Class for assigning/browsing values to tuples of discrete variables.
Implementation of Monte Carlo Sampling for inference in Bayesian Networks.
Instantiation _draw(GUM_SCALAR *w, Instantiation prev) override
draws a sample according to classic Monte Carlo sampling
MonteCarloSampling(const IBayesNet< GUM_SCALAR > *bn)
Default constructor.