Issue with type of scaling when calling get_predictor().preprocess(df)

Hi All,

I have trained a model with scaling as min-max scalling for all features.

When I am reading the same model and feeding the train data (df) using the following code :

model_minMax = dataiku.Model(<model name>) # Provide model name
my_predictor = model_minMax.get_predictor()

xi = my_predictor.preprocess(df)[0]

pd.DataFrame(xi).describe()

I see that the scaling is done as average-scaling.

Request you to kindly help.

Attaching log of preprocessing.

Regards

Sourjeet