from probgraphicalmodels import bn_no bn_lr coughfeversneezecoldflucovid bn_no probrc(bn_no bn_lr probrc(bn_lr #bn_no query(flu{fever: sneeze: }#bn_lr query(flu{fever: sneeze: }#bn_lr query(cough,{}#bn_lr query(cold,{cough: ,sneeze: ,fever: }#bn_lr query(flu,{cough: ,sneeze: ,fever: }#bn_lr query(covid,{cough: ,sneeze: ,fever: }#bn_lr query(covid,{cough: ,sneeze: ,fever: ,flu: }#bn_lr query(covid,{cough: ,sneeze: ,fever: ,flu: } if __name__ ="__main__"inferencemethod testim(probrc variable elimination an instance of ve object takes in graphical model the query method uses variable elimination to compute the probability of variable given observations on some other variables probve py -variable elimination for graphical models from probfactors import factorfactorobservedfactorsumfactor_times from probgraphicalmodels import graphicalmodelinferencemethod class ve(inferencemethod)"""the class that queries graphical models using variable elimination gm is graphical model to query ""method_name "variable elimination def __init__(self,gm=none)inferencemethod __init__(selfgm def query(self,var,obs={},elim_order=none)"""computes (var|obswhere var is variable obs is {variable:valuedictionary""if var in obsreturn {var: if val =obs[varelse for val in var domainelseif elim_order =noneelim_order self gm variables projfactors [self project_observations(fact,obsfor fact in self gm factorsfor in elim_orderif !var and not in obsversion june