Is your feature request related to a problem? Please describe.
With the release of MLflow 2.12, authentication features have been introduced. However, the mlflow-export-import currently does not support these new authentication features. This lack of support limits the use of the tool in secure environments where authentication is required.
Describe the solution you'd like
I would like the mlflow-export-import to support the new authentication features introduced in MLflow 2.12. This would involve adding functionality to handle authentication tokens and any necessary configurations to work with authenticated MLflow servers.
Describe alternatives you've considered
Currently, the alternative is to manually handle authentication when using the mlflow-export-import tool, which is cumbersome and not user-friendly.
Additional context
Supporting MLflow 2.12 authentication features will make the mlflow-export-import more versatile and usable in secure MLflow environments. This enhancement is essential for users who need to manage and transfer MLflow artifacts securely.
Is your feature request related to a problem? Please describe.
With the release of MLflow 2.12, authentication features have been introduced. However, the
mlflow-export-importcurrently does not support these new authentication features. This lack of support limits the use of the tool in secure environments where authentication is required.Describe the solution you'd like
I would like the
mlflow-export-importto support the new authentication features introduced in MLflow 2.12. This would involve adding functionality to handle authentication tokens and any necessary configurations to work with authenticated MLflow servers.Describe alternatives you've considered
Currently, the alternative is to manually handle authentication when using the
mlflow-export-importtool, which is cumbersome and not user-friendly.Additional context
Supporting MLflow 2.12 authentication features will make the
mlflow-export-importmore versatile and usable in secure MLflow environments. This enhancement is essential for users who need to manage and transfer MLflow artifacts securely.