53bc1480e10f6594574850a05e20b3616d904dfe,pgmpy/inference/base.py,Inference,__init__,#Inference#,50

Before Change

                if not set(factor.variables.keys()).issubset(set(self.variables)):
                    raise ValueError("Factors are not consistent with the model")

                for index in range(len(factor.variables)):
                    self.cardinality[list(factor.variables.keys())[index]] = factor.cardinality[index]

                for var in factor.variables:
                    try:
                        self.factors[var].append(factor)
                    except KeyError:

After Change

    def __init__(self, model):
        self.variables = model.nodes()
        self.cardinality = {}
        self.factors = defaultdict(list)

        model.check_model()

        if isinstance(model, BayesianModel):

Instances