scikit-learn/scikit-learn — comment on commit 1694a8f2d802c006d35c842d37de5d0610f9f57a
File:  line 0
By mblondel:

By the way, the new compression works really well on estimators with sparse coefficient vectors. On the 20newsgroup dataset, the estimator object for a `LinearSVC` with L1 penalty went from 9.5M to 180K.

This just gave me an idea: one could create a smart CSR matrix implementation that would uncompress rows on demand (possibly combined with mmap to load the compressed rows).