Speed up training
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Description
Any way to speed up training would be great. From the code, it looks like the results of the kernel function could be memoized for each data pair after it's been computed once. Avoiding that computation could be a big deal on my data set where each vector has a length in the thousands.
Are there any other improvements that could be made?
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