Python engine adapters #18
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…n python unit tests
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Here I am separating the dependencies out so if a user does just wants to use
sklearnthen they do not need to have torch and vice versa. I have also isolated the Rust code from the python code with an adapter pattern so we can now perform unit tests on the processes of training and storing ML files fromsklearnandtorchand converting them to ONNX. There is still some way to go to getting the rust part into unit tests that can be called from python but for now the rust code itself had unit tests.