alteryx / alteryx/evalml

Use our own implementation for one-hot encoding

Abierto
#1,995 1 comentario 0 reacciones 1 asignado Reclamado por @asniyaz Ver en GitHub
enhancement performance
Lenguaje dominante
Python
Estrellas
850
Forks
96
Métricas de merge de PR
Sin PR fusionados en 30 d

Descripción

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 :)

Guía de contribución

Abrir la guía de contribución

Evaluación

Este issue todavía no se ha evaluado.

Recibe los nuevos issues en tu correo

Un resumen breve de issues de GitHub para principiantes.