ValueError: array must not contain infs or NaNs

[tsryo]

https://github.com/Labo-Lacourse/stepmix/blob/4fdc222b6eabf6962b1146c9df778f7cc530df44/stepmix/emission/categorical.py#L82

Seems to happen for me intermittently, depending on what random state I start with. Happens when fitting a one-step model with full gaussian measurement model and binary_nan structural. When occurring it seems that a certain element in pis[i] (and its corresponding elemnt from resp_i ) , are equal to zero, causing 0/0 -> nan. Current workaround I used was setting pis[i] with nan_to_num, where all nans are changed to zeroes. Not sure if this is valid to do, or just treating the symptom instead of the root cause.

[sachaMorin]

Thanks for reporting this. Any chance you could share a dataset (e.g., via email) and a random_state to reproduce this?