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This PR is a complete rewrite of the ExperimentalEmulator. The current implementation has not been giving good results on new training and is very difficult to debug. The debugging challenges are primarily due to the complexity of the training loops and the code organization.
I previously tried to use pytorch-lightning (see this PR), but I ran into quite a few issues.
This PR instead uses skorch, which provides a scikit-learn API for pytorch. This enables use of all of the scikit-learn preprocessing functionality, which I make heavy use of here.