`decomposition.umap_reconstruction.UMAPOutlierDetection` about scikit-lego

[FBruzzesi]

@anopsy created separate issues to link directly PRs

[FBruzzesi]

I would suggest to use arrays as well wherever possible. Dataframes may be more interpretable but they are more in the direction of skrub philosophy

[anopsy]

Thanks! I'll also repeat my question:

what would be a more elegant example - applying them on ndrrays or a dataframe?

I noticed that some examples in sklego are based on dataframes and some on numpy arrays or ndarrays. I noticed that scikit-learn mostly uses arrays in their examples. Let me know what do you think, maybe I'm overthinking that

[anopsy]

Coolio! That's more of an idea for the future, but when all examples are added, maybe it would be good to base them all on arrays then. Just sayin'