Open scottwthompson opened 4 years ago
Also, I was getting this library to work just fine with the exact same code. But then I changed my model artifact to include this boolean feature and it stopped working.
So don't think its an issue with my code so much.
I believe the issue is having booleans in the input. when i casted my boolean columns to integers everything works as normal.
My guess is XGBoost is doing this conversion under the hood and the eli5 library is not.
Python version 3.7.3 xgboost version 0.82
The actual model predicts with the same inputs. Any advice? is xgboost 0.82 supported?
The feature in question causing the error is boolean.