Michael Marien
Michael Marien
Hi, I'm afraid you're trying something impossible. FLAML is build upon the in-memory python data stack and interacts beautifully with pandas, numpy, scikit-learn... On the other hand, (py)spark data frames...
Hi, thanks for noticing. Regarding the p-value issue. Might it be possible that in your case your list of simulations is (almost) constant. By which I mean, it mostly consists...
On the second topic, there are indeed a few locations where a print is used in the library. I wouldn't mind making one PR changing all of them to logging...
I don't mind giving this a try.
Waiting until #577 is in to revisit this :)
Hi, in general I think you can do this "outside" of FLAML as follows. If automl is your fitted FLAML instance: ``` from sklearn.base import clone final_model = clone(automl.model) final_model.fit(X_all,...
Hi, > 1. unfotunatelly the great michael suggestion doesn't work: no way. Various error encountered..... sad to hear. Could you give some insight in the error as this works like...
> Thank you for the PR! I'm a bit confused by the wording: > > > but we developed this at my company anyway, so would not contribute > >...
hi @noamzbr if you can give some guidance on the approach, I wouldn't mind making a PR myself.
Turns out most checks already have a parameter 'n_to_show' that allows to suppress the addition of data in the display. I made PR #2337 to allow this also in the...