Managing the permissions using MLFlow APIs
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10-21-2021 02:41 AM
Hello All,
I am trying to manage the permissions on the experiments using the MLFLow API. Do we have any MLFlow API which helps to manage the permissions of Can Read ,Can Edit , Can Manage.
Example :
I create the model using MLFlow APIs and through my code I should be able to enforce the permission saying what permission can be given for this model.E.g. Can Read , Can Edit , Can Manage.
Thanks
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ACL
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MlFlow
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MLflow API
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MLflow Experiments
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Permissions
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10-21-2021 12:48 PM
Hi @Sagar Kant Please refer to the below document that provides a detailed explanation about the MLflow permissions API.
- MLflow experiment permissions — Manage which users can read, edit, or manage MLflow experiments.
https://docs.databricks.com/dev-tools/api/latest/permissions.html#tag/MLflow-experiment-permissions
- MLflow registered model permissions — Manage which users can read, edit, or manage MLflow registered models.
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11-28-2021 02:04 PM
Hi @Sagar Kant , Could you please let me know if the answer I provided earlier resolved your query? If so would you be happy to mark the answer as best so that others can quickly find the solution in the future?
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12-16-2021 06:33 PM
I don't believe you can set MLflow permissions via the API. Permissions are a function of Databricks rather than MLflow itself.
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03-01-2023 04:35 AM
Hey folks, did we get any workaround for this or what @Sean Owen said is true ?
