Issue with type of scaling when calling get_predictor().preprocess(df)
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sourjeet
Registered Posts: 1 ✭✭✭
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
Answers
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Hello Sourjeet,
Thank you for your message, you actually found a bug in DSS
We logged it and it will be fixed in a future release.
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Hi @sourjeet
, the forthcoming Dataiku 9.0.2 release will fix this bug. Thanks for reporting it !