alteryx / alteryx/evalml

Use our own implementation for one-hot encoding

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#1,995 1 commentaire 0 réactions 1 personne assignée Réclamée par @asniyaz Voir sur GitHub
enhancement performance
Langage dominant
Python
Étoiles
850
Forks
96
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Description

Following discussion from #1936 and #830, we've had to work around our the scikit-learn implementation of one-hot encoding to add our own functionality. #1936 in particular works to add the ability to drop an encoded feature that only has two categories, but has to work around scikit-learn's implementation limitations.

Rolling our own implementation can help increase performance and avoid extra convoluted logic we've added to work out scikit-learn's implementation :)

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