Databricks Feature Store
2. Contain columns for all source keys required to score the model, as specified in the feature_spec.yaml artifact. 3. Not contain a column prediction, which is reserved for the model’s predictions. df may contain additional columns. result_type – The return type of the model. See mlflow.pyfunc.spark_udf result_type. A DataFrame containing: 1. ................
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