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Running '3.8.8' in jupyter notebook, code from Starter notebook/starter_example.ipynb) produces the following error:
ValueError: Pandas DataFrame or Series has a DatetimeIndex with no set frequency, but STS requires regularly spaced observations. Consider using tfp.sts.regularize_series to infer a frequency and build a regularly spaced series (by marking unobserved steps as missing observations).
Same error occurs when running rmm.inference() on other datasets.
The text was updated successfully, but these errors were encountered:
thank you for posting this - unfortunately, I'm unable to develop or maintain this repo anymore - I'll add a note on the README, sorry about this and good luck!
hi @danboardman2 - sorry for the delayed response on this - this issue relates to an older version of tfcausalimpact - I've updated the version in the setup file, and will push it to master soon - could you update the version of tfcausalimpact and check again please - you can find more details here:
Running '3.8.8' in jupyter notebook, code from Starter notebook/starter_example.ipynb) produces the following error:
ValueError: Pandas DataFrame or Series has a DatetimeIndex with no set frequency, but STS requires regularly spaced observations. Consider using
tfp.sts.regularize_series
to infer a frequency and build a regularly spaced series (by marking unobserved steps as missing observations).Same error occurs when running rmm.inference() on other datasets.
The text was updated successfully, but these errors were encountered: