Github user yanboliang commented on the issue:
https://github.com/apache/spark/pull/17862
@hhbyyh If different handling of intercept scaling is the major cause for
result difference between sklearn and Spark, do you check whether fit model
without intercept will produce same model? Theoretically, different optimizers
should converged to the same result if the function is convex. Thanks.
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