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Censored data: v3 -> v4 #341
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Check out this pull request on See visual diffs & provide feedback on Jupyter Notebooks. Powered by ReviewNB |
View / edit / reply to this conversation on ReviewNB aloctavodia commented on 2022-05-31T18:53:35Z nitpick, maybe we can round to one or two digits drbenvincent commented on 2022-05-31T19:41:55Z done :) |
View / edit / reply to this conversation on ReviewNB aloctavodia commented on 2022-05-31T18:53:36Z This model makes use of PyMC's bounded variables. drbenvincent commented on 2022-05-31T19:42:15Z Well spotted. I've removed this now. |
done :) View entire conversation on ReviewNB |
Well spotted. I've removed this now. View entire conversation on ReviewNB |
View / edit / reply to this conversation on ReviewNB ricardoV94 commented on 2022-05-31T20:42:07Z The dictionary warning should not be present with the latest aesara dependency from main |
View / edit / reply to this conversation on ReviewNB ricardoV94 commented on 2022-05-31T20:42:08Z Perhaps import Interval on a distinct line so it's not so verbose in the distribution call?
from pymc.distributions.transforms import Interval` |
View / edit / reply to this conversation on ReviewNB ricardoV94 commented on 2022-05-31T20:42:09Z Maybe expand slightly? "W can make use of pm.Censored to marginalize over the unobserved censored values. |
see #126
pm.Bound
pm.Censored