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Hyper AutoOptimize #12
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Hyper auto-optimize should be concerned about algorithm, while auto-optimize can only be concerned about implementation. Things that are essentially algorithmically equivalent (in the mathematical sense) are things like:
With some quick calls to
Kick out a _prob,_alg pair that is likely to be the fastest. |
What would be the best strategy for finding the right estimate of time to Hyper AutoOptimize? Should we perform a single step and benchmark the time taken and use it as a quantity for what is best?
Also would the greedy approach do? For eg we optimize weather we want to use autodiff or not and weather we want to use GPU or not. We can find this out in 2 ways -
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