Github user yanboliang commented on the issue:
    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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