Hello I have made ML model using decision tree. I exported model as PMML and shared with IT department to implement serial production. IT member is capable of using Python. IT member tries to use Pmml file exported from Knime.But IT menber cannot succeed to predict by using PMML file. We already checked features and confirmed. Is there any critical point that we have to check? Or is there any way to export ML model from Knime and implement at another enviroment which is managed by coding? regards Hadi

PMML export usage at Python enviroment

mlauber71 September 25, 2024, 4:49pm 2

@hadi you can employ pypmml to apply the model stored in PMML via Python.

The other machine learning package that can work well with KNIME and Python is H2O.ai and the MOJO format. You can exchange that between KNIME, R and Python. Also you can employ vtreat to help with the automatic data preparation.

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