The ability to score a Values object is now removed, and this is its closest alternative.
Return this Factor's sufficient statistics for the values in the Assignment.
Return an object that can iterate over all value assignments to the neighbors of this Factor
Return a record of the current values of this Factor's neighbors.
This factor's contribution to the unnormalized log-probability of the current possible world.
Return the score and statistics of the current neighbor values; this method enables special cases in which it is more efficient to calculate them together.
Return this Factor's sufficient statistics of the current values of the Factor's neighbors.
In order to two Factors to satisfy "equals", the value returned by this method for each Factor must by "eq".
The number of variables neighboring this factor.
True iff the statistics are the values (without transformation), e.
Does this Factor have the given variable among its neighbors?
Does this Factor have any of the given variables among its neighbors?
Update sufficient statistics in collapsed parents, using current value of child, with weight.
Return the score for Factors whose values can be represented as a Tensor, otherwise throw an Error.
Given multiplicative factors on values of neighbor _1 (which allow for limited iteration), and given the Tensor value of neighbor _2, return a Tensor1 containing the scores for each possible value neighbor _1, which must be a DiscreteVar.
Given a Tensor representation of the values, return a Tensor representation of the statistics.
The Nth neighboring variable of this factor.
Returns the collection of variables neighboring this factor.