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ML Ops in Production

Data Skeptic

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How Does This Workflow Match Up With Where I Would Store Things in Git?

Instead of storing the Jupyter notebook, it stores a link to your Git repository. It's just a string to where we can find the Git repository. And it will also store the uncommitted changes because we learned the hard way that if you want to reproduce something, you have to store them. So we store that alongside the link to the actual commit that you had locally. Then on the remote machine, on the AWS instance that we spent before, alongside theAW credentials, you haveto provide your Git credentials so we can actually pull your code into that machine. Then we apply the uncommitted change, basically replicating the same repository as you had on your machine. and again

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