Replies: 1 comment
-
+1 for this. After checking documentation and Github issues + discussion, it is not clear to me if this project properly follows Semantic Versioning. This makes it difficult for MLflow admins to upgrade between 2.x.x versions without having to worry about whether some API could break. |
Beta Was this translation helpful? Give feedback.
0 replies
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
-
Hi all,
I'm evaluating using mlflow for machine learning lifecycle things, and want to know what kind of backwards compatibility guarantees there are. The only thing I can find regarding this is this bit in the contributing guidelines, but "please think about it" is very different from "you can't commit this", so I wanted to clarify here. My questions are:
Beta Was this translation helpful? Give feedback.
All reactions