useful for when you need to do AutoML Classification/AutomaticClassification inference and do reason code.
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Do inference:
>>> from hana_ml.algorithms.pal.auto_ml import AutomaticClassification
>>> mymodel = AutomaticClassification()
>>> mymodel.model_ = <data_frame>.connection_context.table(<MODEL_TABLE>)
>>> #show_explainer needs to be set True if reason_code needs to be outputted.
>>> result = mymodel.predict(data=<data_frame>, key=<ID>, show_explainer=True)
>>> #save the prediction result.
>>> result.save(<PREDICT_RESULT>)
>>> #output the reason code
>>> print(result.select(result.columns[3]).collect().to_numpy())