Log and track ML metrics, parameters, models with Git and DVC

Re:Log and track ML metrics, parameters, models with Git and... by henrydark on Sunday May 21, 2023 @11:41AM (#36022057)

1. I git commit with a token

2. Master has the deployed models, other experiments are in branches - just like other experimental code

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Re:Log and track ML metrics, parameters, models with Git and... by londogard on Tuesday May 23, 2023 @07:32AM (#36042820)

Thanks!

We solved 1. the same way, but it felt "off" somehow. Perhaps it's a good solution.

2. That's a sound solution, but a tiny bit cumbersome. I have projects where we deploy both classifier and regressor, where it'd nice to keep all in main. Alas, you can't have it all.

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