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Many ML models perform better when trying to fit approximately Gaussian distributions of values - as such using a power-transform as part of the AMM workflow might lead to a small boost in performance. Not sure if there is a natural way to include into AMM
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CompRhys
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[Suggestion] Add power-transforms to AutoMatminer?
[Suggestion] Add power-transforms to AutoMatminer for regression tasks?
Apr 21, 2021
Hey @CompRhys thanks for the suggestion! Let me look into this some more and get back to you. I don't think this would hurt performance in any way, and could probably be integrated into the functionfeaturizer portion of automatminer. That part of the pipeline is broken right now, but I am planning on fixing it soon. See #217
Many ML models perform better when trying to fit approximately Gaussian distributions of values - as such using a power-transform as part of the AMM workflow might lead to a small boost in performance. Not sure if there is a natural way to include into AMM
https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.PowerTransformer.html
The text was updated successfully, but these errors were encountered: