Sebastian Raschka
Sebastian Raschka
From the discussion in #915: > In this statement I mean that to check documentation after adding new sections, new contributor should run this command to convert all notebooks to...
Right now, we have both `black` and `pep8speaks` which is a bit redundant. Right now, it might make sense to keep both for a while, but if the `black` setup...
The `*_files` directories in `mlxtend/docs/sources/user_guide/*/` are auto-generated from the ipynb -> markdown conversion. We don't necessarily need them in the version control. They are currently partly responsible for bloating the...
Add a `documentation-requirements.txt` under `mlxtend/docs` for documentation specific tools that are required when running `python make_api.py` inside `mlxtend/docs`. (As discussed in #915 )
Not necessarily a bug, but there is currently a discrepancy between [environment.yml](https://github.com/rasbt/mlxtend/blob/master/environment.yml) and [requirements.txt](https://github.com/rasbt/mlxtend/blob/master/requirements.txt). - It would be good to unify these so that both `pip` and `conda` users have...
This is an issue to revive the awesome work on the apriori algorithm in #646. This issue is partly to bump this up before the code in master further diverges...
The current frequent pattern and association rule mining algorithms are not implemented for generality not efficiency and may end up consuming unnecessary CPU and memory in certain cases. As discussed...
The current frequent pattern and association rule mining algorithms are not implemented for generality not efficiency and may end up consuming unnecessary CPU and memory in certain cases. As discussed...
Mlxtend currently requires the following versions for the unit tests (see [workflow](https://github.com/rasbt/mlxtend/blob/master/.github/workflows/python-package-conda.yml)): - scikit-learn=1.0.2 - pandas=1.3.5 - numpy=1.21.4 - scipy=1.7.3 I noticed unit tests fail with more recent versions. Presumably...
It might be useful to sort the dataframes from the apriori, fpgrowth, and fpmax functions to avoid confusion and enable comparisons. This can be done via ```python .sort_values(by=['support','itemsets'], ascending=False) ```...