I created a XGBRegressor model with certain encoded 'object' dtypes in the data. Now if I want to run the model with new set of data which is freshly encoded it's giving wrong predictions. How to ensure that the new dataset is encoded in the same way as was the train data? Or any other solution to this problem?
Please try this below link to get to know more about this encoding.
also, after looking at this you can understand how to save the encoding.