Trying jax for gradients - #24
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I appreciate the test, it runs locally and confirms that there is no significant difference in the Jax and numpy output. I would leave that test in here for now in case we suspect weird things on a new environment.
Otherwise, this is all a good idea in principle and it works for this limited dataset, so it's an acceptable PR.
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Our python gradients/jacobians were computed in matlab by AdiMAT and then translated to python.
We can also compute them using Jax. This allows us to easily compute Hessians (if desired).