Submitted by cblume t3_10e3rbq in MachineLearning
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
Comments
iyeva t1_j4pwopf wrote
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 OP t1_j4qwpte wrote
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 t1_j4qx9aa wrote
Oh, oké, that's interesting! Thanks for sharing!
UltimateGPower t1_j4snmvi wrote
It's pip install scikit-learn. sklearn was just a shadow package that has been deprecated.
SnooWords6686 t1_j4ptkw3 wrote
Help. Can't install sklearn?