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We use two PSF (FTRLWUpdater and Compress) to calculate w. These two PSF allocate some intermediate arrays, which is memory-consuming when the dimension of model is high.
We can merge these two PSFs into a single one, which directly filter the non-zero ones of w from z and n and save non-zero items into a new vector.
The text was updated successfully, but these errors were encountered:
We use two PSF (FTRLWUpdater and Compress) to calculate w. These two PSF allocate some intermediate arrays, which is memory-consuming when the dimension of model is high.
We can merge these two PSFs into a single one, which directly filter the non-zero ones of w from z and n and save non-zero items into a new vector.
The text was updated successfully, but these errors were encountered: