machine learning – Github as artifact repo in mlflow

machine learning – Github as artifact repo in mlflow

If you run an experiment, while the source from which you ran is in GitHub, that commit is tied to the run.

Registering the model with that version will give the git commit with which the model was run and the subsequent registered version. See both images below.

The first shows the run with a git commit; the second shows that model is registered, with a clickable link (LOCAL_REGISTRY) from the registry UI back to the run UI with its git commit.

machine learning – Github as artifact repo in mlflow

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