Runtime error using MLFlow and Spark on databricks
Here is some model I created:class SomeModel(mlflow.pyfunc.PythonModel): def predict(self, context, input): # do fancy ML stuff # log results pandas_df = pd.DataFrame(...insert predictions here...) spark_df = spark...
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Any updates on this? I am running into the same issue@Patrick Tawil​ were you able to solve this problem? If so, do you mind sharing?
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