Can multiple users collaborate together on MLflow experiments?
Wondering about best practices for how to handle collaboration between multiple ML practitioners working on a single experiment. Do we have to share the same notebook between people or is it possible to have individual notebooks going but still work ...
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Yes, multiple users could work on individual notebooks and still use the same experiment via mlflow.set_experiment(). You could also assign different permission levels to experiments from a governance point of view
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