How to create an evaluation recipe with a non trained saved model (w/o active version)

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dadbuz
dadbuz Dataiku DSS Core Designer, Dataiku DSS Adv Designer, Registered, Dataiku DSS Developer Posts: 16 ✭✭✭✭

Hi,

Is there any way to create an evaluation recipe in the flow against a saved model placeholder - a model version to be imported later from mlflow based training session through the api?

I get get an invalid argument error: No active version for model <saved_model.id>

Thanks

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  • dadbuz
    dadbuz Dataiku DSS Core Designer, Dataiku DSS Adv Designer, Registered, Dataiku DSS Developer Posts: 16 ✭✭✭✭
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    same question for scoring recipes. How can I use the Python API to create a scoring recipe for model that is not trained yet?

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