Sebastian Raschka

Sounds great! Looking forward to it!

Thanks for the note, that's definitely a big issue. I remember making a small fix to the markdown parser some time ago to fix some documentation pages, and it may...

Currently, the implementations of the TransactionEncoder and frequent itemset mining algorithms don't support chunking. What may help though is using a sparse dataframe for frequent itemset and rule mining. For...

It just occurs to me that sth like Dask dataframes, which have out-of-core support, could also work, but I have not tested this -- currently, we only use pandas DataFrames...

Nice! Regarding the base material, maybe the best resource would be the original paper: - http://theoval.cmp.uea.ac.uk/~gcc/matlab/sammon/sammon.pdf Regarding a Python-based implementation, I found this one: - https://github.com/tompollard/sammon For this here, we...

It might be useful to add a 2-sample independent t-test in general, but I think using either (a) a 5x2cv paired t test or McNemar test is better for classifier...

Hi there, this is an issue in mlxtend 0.17, indeed. There is a fix in the current master branch though (mlxtend 0.18.dev0). So, in the meantime, until the next stable...

Since association rule mining would be more like a "unsupervised" learning task, there's currently no API for the separate handling of training and testing. However, looking up entries in a...

Thanks for the feedback. The API is still unchanged and based on the frozensets; that's for efficiency reasons. You approach regarding `.apply(lambda x: set(x))` seems to be the most reasonable...

If there is something missing, it could probably be added. Could you specify what you mean by test value in this context?