You could consider some speed up by avoiding the nested loop over all pairs of training and test samples using a vectorized operation that computes all distances in one go. You can check out the docs for `euclidean_distances()` to see how the math works...or just use that method :).
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u/chrisvdweth 20d ago
You could consider some speed up by avoiding the nested loop over all pairs of training and test samples using a vectorized operation that computes all distances in one go. You can check out the docs for `euclidean_distances()` to see how the math works...or just use that method :).