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Resolved! Community edition - RestException: PERMISSION_DENIED: Model Registry is not enabled for organization 2183541758974102.
Currently running this cmmd:-model_name = "Quality"model_version = mlflow.register_model(f"runs:/{run_id}/random_forest_model", model_name)# Registering the model takes a few seconds, so add a small delaytime.sleep(15)however I get this error:-RestEx...
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- 9 kudos
@Martin Olowe There are certain limitations with the community edition and you do not have this feature there. To use this you need to go with the commercial version of Databricks as mentioned by @Hubert Dudek .
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Resolved! How to find best model using python in mlflow
I have a use case in mlflow with python code to find a model version that has the best metric (for instance, “accuracy”) among so many versions , I don't want to use web ui but to use python code to achieve this. Any Idea?
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import mlflow client = mlflow.tracking.MlflowClient() runs = client.search_runs("my_experiment_id", "", order_by=["metrics.rmse DESC"], max_results=1) best_run = runs[0]https://mlflow.org/docs/latest/python_api/mlflow.tracking.html#mlflow.tracking.M...
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