Use our own implementation for one-hot encoding
Ouverte
enhancement
performance
- Langage dominant
- Python
- Étoiles
- 850
- Forks
- 96
- Métriques de merge des PR
- Aucune PR mergée en 30 j
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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