Pymc3: Add effective sample size and gelman_rubin rhat to `pm.df_summary` output

Created on 30 Aug 2017  路  5Comments  路  Source: pymc-devs/pymc3

To be in line with the output in Stan cell 8. Both are easily available already using pm.effective_n and pm.gelman_rubin. This should make a good first contribution.

beginner friendly enhancements
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picture junpenglao
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Thanks @junpenglao for flagging this as 'beginner_friendly`, as it was a clear addition to make, and a great excuse to get my environment set-up and get to know the codebase. I'll submit the PR today.

picture SioKCronin on 15 Sep 2017
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Thanks @junpenglao for flagging this as 'beginner_friendly`, as it was a clear addition to make, and a great excuse to get my environment set-up and get to know the codebase. I'll submit the PR today.

SioKCronin picture SioKCronin on 15 Sep 2017
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Awesome @SioKCronin!

twiecki picture twiecki on 15 Sep 2017

Awsome @SioKCronin :)

springcoil picture springcoil on 16 Sep 2017

I encountered an architecture question re: stats.py and diagnostics.py (https://github.com/pymc-devs/pymc3/pull/2576), and warmly welcome feedback.

SioKCronin picture SioKCronin on 20 Sep 2017

Fixed in #2576

junpenglao picture junpenglao on 30 Oct 2017
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