Open ghost opened 3 years ago
Thank you very much @cgw-github - yes, you are correct! Thanks for spotting this bug.
It seems the AR class is deprecated anyways with 0.12 and we should move away from it. Would you like to do a PR to fix this?
Would you like to do a PR to fix this?
Never done a PR in my life. Oops.
I have a few suggestions about this feature that I could contribute here, but I would not feel confident in writing the PR myself. If that is helpful, i can write a summary of my obs.
So I am very happy to help you do your first PR if you like! Do you have experience with git?
But if you just want to write up your findings here, that is also fine
So in case you would like to do a pr, @cgw-github:
@nils-braun I would like to take up this PR. I have some experience with git and time series modelling.
Sure! Thank you very much for that!
Hi, I have created a PR for this: https://github.com/blue-yonder/tsfresh/pull/805
Hello,
I am using tsfresh 0.17 from pip. My os is suse SLED 15.2.
I noticed while browsing the source code for the ar_coefficient extractor that tsfresh is calling the statsmodels function with the following arguments: AR.fit(maxlag=k, solver="mle")
But according to statsmodels 0.12.1 documentation, there is no "mle" option for solver keyword. The correct call seems to be AR.fit(maxlag=k, method="mle").
I've been having some numerical instabilities with this feature which results in huge (MAX_FLOAT) results.
Cristian