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[Feature request] Extending MLFlow Runtime to load Model based on Flavour
Hey Everyone,
could we extend the mlflow runtime to allow using predict_prob(). I know the mlflow pyfunc interface only provides predict(), but there are ways to load the model based on the flavour. Here is an example on how I do it.
That would allow the use of predict_prob().
Let me know, if there is anything I can help with.
Regards Henrik