Github user yanboliang commented on the issue:
https://github.com/apache/spark/pull/15910
I found the ```summary``` of ```spark.logit``` return incorrect result when
reviewing this PR. Actually it should return ```coefficients``` rather than
binary logistic regression summary that R users may not be interested.
Meanwhile, the binary logistic regression summary will ignore ```weightCol```
and treats all instance weights as ```1.0```, we are discussing to resolve this
issue at Scala side. I will send a PR to correct ```summary``` return value for
```spark.logit``` and hope it can catch 2.1. Thanks.
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