cossatot/bayes_wedge_inversion.ipynb

Last active January 18, 2020 00:46

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Jupyter notebook for a Bayesian inversion of critical wedge parameters

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bayes_wedge_inversion.ipynb

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virgilioamaris commented Dec 26, 2019

Author

cossatot commented Dec 26, 2019

I see the problem now.

You need to run something like

priors['likelihood'] = priors.apply(calc_row_likelihood, axis=1)

instead of

priors = calc_row_likelihood(priors)

If it doesn't work exactly, read the error messages and try to understand them to find the problem.

virgilioamaris commented Jan 13, 2020

Ok. Perfect.

virgilioamaris commented Jan 15, 2020

Thank you. It work correctly.

Author

cossatot commented Jan 17, 2020

Great, I am glad I could help. Good luck with your research!

virgilioamaris commented Jan 18, 2020 via email

Thank you. El vie., 17 ene. 2020 a las 9:50, Richard Styron (<[email protected]>) escribió:

Great, I am glad I could help. Good luck with your research! — You are receiving this because you commented. Reply to this email directly, view it on GitHub <https://gist.github.com/bb042e307e21134adba497179ca7f35e?email_source=notifications&email_token=AHWRTLYOYUZYJI54K4CJRDDQ6HATRA5CNFSM4J4AVRAKYY3PNVWWK3TUL52HS4DFVNDWS43UINXW23LFNZ2KUY3PNVWWK3TUL5UWJTQAF7XZM#gistcomment-3141526>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AHWRTLY5JXWKEUHH2JHMVLDQ6HATRANCNFSM4J4AVRAA> .

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