aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
The default of return_inferencedata was False but in the future (v4.0) it will be True. However, the rest of the code is written for False case so I changed all pm.sample to have an explicit False.
Currently it shows this warning:
FutureWarning: In v4.0, pm.sample will return an arviz.InferenceData object instead of a MultiTrace by default. You can pass return_inferencedata=True or return_inferencedata=False to be safe and silence this warning
-> Also a small change in the text in Ch2 as we are actually modeling the cheaters and not liars.
The default of
return_inferencedatawasFalsebut in the future (v4.0) it will beTrue. However, the rest of the code is written forFalsecase so I changed allpm.sampleto have an explicit False.Currently it shows this warning:
-> Also a small change in the text in Ch2 as we are actually modeling the cheaters and not liars.