the Factor model used to perform inference
beliefs for each variable, for each assignment to each variable. normalized, not in log space
beliefs for each variable, for each assignment to each variable.
beliefs for each variable, for each assignment to each variable. normalized, not in log space
returns a factor representing the factor marginal for the given marginal.
returns a factor representing the factor marginal for the given marginal. That is, f(assignment) will give the marginal probability of any given assignment.
If the factor is not in the original model, this still works, but it doesn't mean much unless logApply returns 0.0 for all values.
the factor
the edge marginal factor
the Factor model used to perform inference
The result object for BeliefPropagation, useful for getting information about marginals and edge marginals
the Factor model used to perform inference
beliefs for each variable, for each assignment to each variable. normalized, not in log space