Sebastian Raschka

If you have time and are interested to work on this, I'd appreciate the contribution 😊

Hi there, You could try `fit_base_estimators=False`, i.e., ```python stacked_ensemble = StackingClassifier( classifiers=base_models, meta_classifier=meta_model, use_probas=True, average_probas=False, fit_base_estimators=False ) ```

Thanks a lot for the PR! If you have time, could you add a few unit tests to make sure it works as intended?

Definitely good points. 1. Off the top off my head, changing the minimization method might help, right now it's hardcoded to be Nelder-Mead. (https://github.com/rasbt/mlxtend/blob/master/mlxtend/evaluate/counterfactual.py#L113) 2. And keeping some features fixed...

I can see that dealing with itemsets that have missing values may be a common problem, and I am open to modifications. I currently don't have time to look at...

Thanks for the very thorough comment and explanation, and thanks for sending the improved FSDP code along. I remember @awaelchli also looking into something FSDP-related, and maybe that's something that's...

Actually have the same issue. First the `AssertionError: please init model in the ColoInitContext` issue, then, when following the suggestions, the `AttributeError: 'ProcessGroup' object has no attribute '_dp_rank_list'. Did you...

Good point, this is probably it. I'll test it on a GPU machine later

Unfortunately, I have that issue in a local terminal too.

Hm yeah this is indeed what's happening. There's currently no way around it if we want to use `input()`. Even if we fixed that by e.g., not quitting on empty...