Closed rojo1997 closed 2 months ago
Hi!
Thank you so much for reporting. Would you like to submit a PR fixing the issue?
Did you create a custom mlflow container with google-cloud-storage ?
I just tried what you proposed but it does not work with the out of the box mlflow container.
This Issue has been automatically marked as "stale" because it has not had recent activity (for 15 days). It will be closed if no further activity occurs. Thanks for the feedback.
Due to the lack of activity in the last 5 days since it was marked as "stale", we proceed to close this Issue. Do not hesitate to reopen it later if necessary.
Name and Version
bitnami/mlflow 1.4.4
What architecture are you using?
amd64
What steps will reproduce the bug?
I am using the GCP Kubernetes service and trying to store MLFlow artifacts in Google Storage.
Are you using any custom parameters or values?
What is the expected behavior?
MLFlow is able to save the artifacts in Google Storage.
What do you see instead?
MLFlow is not recognising the Google Storage host and is trying to connect to AWS S3.
Additional information
I managed to solve it by adding the following environment variable: