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Updated
Apr 12, 2021 - Python
Currently you can only do training when you've committed and pushed all new changes in your branch. This introduces a blocker when a Data Scientist is trying out lots of different changes in their code.
Allow for training even with uncommitted changes. This can be done by taking a
git diffof the current branch, storing it and then doing angit applyto the current branch during training