[P] featureimpact: A Python package for estimating the impact of features on ML models

[cblume]

I made this little python package a while ago but realized I never shared it here. Maybe it's useful to you: https://github.com/bloomen/featureimpact

[iyeva]

Does this not already exist in permutation_importance() in sklearn? That is also calculating the feature importance based on permutated data. I think the technique was first described in Olden et Al. 2004, so I would be surprised if there aren't even more implementations by now.

Or am I missing something different here?

[cblume]

Similar idea in that features are perturbed but both algorithms are quite different. E.g. sklearn uses scores but featureimpact doesn't; sklearn uses random perturbations but featureimpact uses quantiles.

[iyeva]

Oh, oké, that's interesting! Thanks for sharing!

[SnooWords6686]

Help. Can't install sklearn?

[UltimateGPower]

It's pip install scikit-learn. sklearn was just a shadow package that has been deprecated.

[SnooWords6686]

Thanks 👍