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The old Cython featurizer only took two minutes on low1 once dummies had been created; this new one takes two hours. Dunno how long dummies took, but not two hours.
What's the significant difference? Speed that up....
The text was updated successfully, but these errors were encountered:
One thing that might help is to call MKL straight instead of through numpy: gemm would save a dot-then-scale, sincos is much faster than np.sin plus np.cos (numpy/numpy#2626 (comment)), probably some other savings to be had in rff_embedding (or use fastfood).
The old Cython featurizer only took two minutes on low1 once dummies had been created; this new one takes two hours. Dunno how long dummies took, but not two hours.
What's the significant difference? Speed that up....
The text was updated successfully, but these errors were encountered: