Sebastian Raschka

Thanks a lot for your PR! Just to get an idea of how much the efficiency has improved, I just ran the code against some benchmark datasets from the website...

Oh yeah, a leverage larger than 1 would we weird, I think, because it is computed as support(A->C) - support(A)*support(C) and support(A->C) can't be greater than 1. (code: https://github.com/rasbt/mlxtend/blob/5a14e3781ea0b0318a303040a03b0c66c438fbbe/mlxtend/frequent_patterns/association_rules.py#L110) If...

Hm, not sure about what's going on. Could also be related to the compression and a scipy bug. But isn't cumsum not always returning a int64 array to make sure...

Thanks for confirming. In this case, we probably should add a warning to the apriori package. I am opening this issue again to address this at some point. I.e., we...

HI there, I can see how that can be a limitation in grid search. Given that the current SFS is already relatively complicated and has maybe too many bells and...

Unfortunately, The StackingClassifier & StackingCVClassifier don't accept a `fit_params` argument yet. But it would be a worthwhile addition!

I am currently a bit swamped -- the new semester just started plus I have a paper due next week, but I was planning to make a new mlxtend release...

Yes, it is currently a naive implementation and could be optimized.

That's a nice collection, thanks for sharing! Not sure what the sharing policies are exactly, but it would be interesting to incorporate one or two of the smaller ones in...

Good point. I don't have a strong preference, here, but I think that auto-assigning remaining columns if `filler_feature_values` are set would add additional convenience as in the vice versa scenario:...