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## What changes were proposed in this pull request? Training GLMs on weighted dataset is very important use cases, but it is not supported by SparkR currently. Users can pass argument ```weights``` to specify the weights vector in native R. For ```spark.glm```, we can pass in the ```weightCol``` which is consistent with MLlib. ## How was this patch tested? Unit test. Author: Yanbo Liang <ybliang8@gmail.com> Closes #14346 from yanboliang/spark-16710. |
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