Model's predicted values are not the same when using Dataiku API to retrieve the model and use it in

minliang1215

I built an XGBoost model in DSS, and retrieved it using the Dataiku API inside python recipe. However, when I use the predict() function on the retrieved model object, the predicted values are not the same as they appear in the original model.

UserBird

Hi,

The original model apply a set of preprocessing on data before doing the prediction. If you want to reproduce the result, you can use directly `my_predictor.predict()`.

Another thing to be aware is that in the scoring recipe, for reproducebility, you should check the Force backend engine option

Cheers,