google-deepmind / google-deepmind/PGMax
MAX factor
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Description
Would it be possible to implement a MAX factor in PGMax? The OR factor works well for binary variables, but in some cases it makes sense to use more than two states for a variable, and the OR factor isn't suitable in such cases. MAX would be equivalent to OR for binary variables, but it would also work for non-binary ones.
My use case: We have a Bayesian network that mostly consists of Noisy-MAX nodes. Most of them are binary, and those can be implemented with an OR factor (with some intermediate variables for the noisiness), but some of them are not binary. We can use enum factors to implement these nodes, but I suspect it would be more efficient to use MAX factors.
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