Average Loss in optimization output

[junpenglao]

You can first check your model to make sure the logp is not inf:

Get nan or inf from model.logp (model.test point) is an attestation of incorrectly configured model?

A few thoughts: 1, In your model, the observed part you are doing: with model: ... mz = pm.Uniform("mz", lower=0, upper=1, observed=mz_freq) M = pm.Binomial("M", n=Yp, p=mz, observed=loss_shifte However, the node mz is not doing anything, since there is no prior on mz, in effect, this is equivalent to mz = mz_freq 2, Since we got -inf from model.logp (model.logp(model.test_point)), we want to identify which RV node is causing the problem. @aseyboldt suggest doing model.bijection.…