CPU times: user 24min 14s, sys: 23.4 s, total: 24min 37s Wall time: 15min 27s There are a lot of efficient implementations around like Xgboost or LightGBM. Which is faster to optimize. Why don't we use it instead of sklearn?
CPU times: user 24min 14s, sys: 23.4 s, total: 24min 37s
Wall time: 15min 27s
There are a lot of efficient implementations around like Xgboost or LightGBM. Which is faster to optimize.
Why don't we use it instead of sklearn?