Github user sethah commented on the issue:
https://github.com/apache/spark/pull/15628
cc @dbtsai @yanboliang
**Note for reviewers**: The driving need behind this change is that we now
have multiclass logistic regression which represents coefficients as a matrix.
When we use L1 regularization it can be more efficient to store the coefficient
matrix as sparse since there can be a lot of zero elements. We will incorporate
this compression in a follow-up PR
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