Catboost：如何将 cat_features 传递给 Python 中保存的模型？

Question

I have this pre-trained saved model, where I informed my categorical features, and it's working fine if I predict right after training. Now I wanna use it again in another context but I don't know how to properly inform the categorical features. I tried this:

model = CatBoostClassifier(cat_features=var_categ)  
model.load_model('catmod.cat')

but when I try to predict:

modelo.predict(base)

I get this error:

CatBoostError: features data: pandas.DataFrame column 'cod_var1' has dtype 'category' but is not in  cat_features list

Yes, I double checked the column is in var_categ.

Answer 1

First of all, you don't need to specify catboost classifier cat_features because the model already has this information from load_model.

I would guess from your error that when you use predict on the new data set, your features shifted by 1 location thus giving you the error.