Comments (2)
Hello,
I think the issue comes from the different forms of uploading to a mlflow
instance. There is no dedicated REST endpoint to upload a run artifact (and that's awful).
We can take this page as a reference.
from mlflowclient.jl.
If it is credible to assume to upload procedures might even depend on the service in question and not just on the protocol we would have to go the AbstractMLFlow
route.
Is there buy-in for that?
Common functionality depending on URI can be part of the library. Although to prevent pulling in extra dependencies for every protocol under the sun having a separate package for uploads might be a better idea if such a package taking URIs doesn't exist yet. (I am not aware of that existing)
from mlflowclient.jl.
Related Issues (20)
- implement listartifacts
- createrun fails when HTTP response dictionary contains Int64 values HOT 8
- Incorrect start time displayed on MLFlow dashboard HOT 1
- Extending support for remote MLFlow server
- How to log model? HOT 4
- Improve tag definition
- Improve local testability HOT 7
- Attributes such as model and dataset
- Support asynchronous logging HOT 16
- Authenticating via REST API HOT 4
- Integrate with DagsHub's MLflow API HOT 6
- Issue to trigger new releases HOT 6
- Proposal to buffer service requests HOT 2
- main doesn't pass it's own test HOT 3
- Support GitLabs MLFlow backend HOT 1
- Can't create experiment with v0.5.1 HOT 1
- `artifact_location` default is not being set
- Document how to set tags when creating an experiment HOT 3
- Update to the 2.x API HOT 1
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from mlflowclient.jl.