Managing the permissions using MLFlow APIs

[SagarK1]

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

[Kaniz]

Hi @SagarK! My name is Kaniz, and I'm the technical moderator here. Great to meet you, and thanks for your question! Let's see if your peers in the community have an answer to your question first. Or else I will get back to you soon. Thanks.

[Prabakar]

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.

https://docs.databricks.com/dev-tools/api/latest/permissions.html#tag/MLflow-registered-model-permis...

[Prabakar]

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?

[sean_owen]

I don't believe you can set MLflow permissions via the API. Permissions are a function of Databricks rather than MLflow itself.

[jsan]

Hey folks, did we get any workaround for this or what @Sean Owen​ said is true ?