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mateiz avatar mateiz commented on May 19, 2024 3

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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makcedward avatar makcedward commented on May 19, 2024 3

I am using Window as well. Another tricks is
mlflow.set_tracking_uri("http://localhost:5000")

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tristenwentling avatar tristenwentling commented on May 19, 2024

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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sfilipi avatar sfilipi commented on May 19, 2024

@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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mateiz avatar mateiz commented on May 19, 2024

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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tomasatdatabricks avatar tomasatdatabricks commented on May 19, 2024

This should be working on Windows right now as well as most of MLflow tracking functionality.

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