Comments (6)
Thanks for the note -- this is indeed likely to be broken. We'd recommend running on Linux through Docker or through bash-on-Windows for now, but we would like to fix this for Windows users.
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I am using Window as well. Another tricks is
mlflow.set_tracking_uri("http://localhost:5000")
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YSK: For those with this issue, if you use the workaround to set the tracking URI inside of your script it will indeed log it each time just fine, but if you save the model in the script and attempt to load it by the command line ( as in the documented example using test_sklearn.py ) it still will not know where to look even with the run id provided.
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@mateiz does this mean that the tracking server cannot run on windows? I keep getting this error trying to start it.
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It should be working on Windows in the master branch now. Maybe there's something wrong in the dependencies? Try asking some of the engineers who were involved in that (they were from Microsoft).
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This should be working on Windows right now as well as most of MLflow tracking functionality.
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Related Issues (20)
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