I’m trying to use a pymc model to impute missing categorical values in my dataset. When I set the observed data in a Categorical distribution to a masked array: data = np.ma.masked_equal([1, 1, 0, 0, 2, -1, -1], -1) with pm.Model(): idx = pm.Categorical(f"{var}_idx", p=[0.1, 0.2, 0.7], observe…

Trying to impute missing categorical data

wnorcbrown January 2, 2023, 9:53am 3

pm.version

‘4.3.0’

and I get the same issue in 4.4.0 and 5.0.1

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