Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/16149#discussion_r91453574
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/regression/GeneralizedLinearRegression.scala
---
@@ -215,6 +215,7 @@ class GeneralizedLinearRegression @Since("2.0.0")
(@Since("2.0.0") override val
* Sets the value of param [[weightCol]].
* If this is not set or empty, we treat all instance weights as 1.0.
* Default is not set, so all instances have weight one.
+ * In the Binomial model, weights correspond to number of trials.
--- End diff --
We should note that the weights should therefore be integers and that
they'll be rounded if they are not. Also say "Binomial family" instead of
"Binomial model."
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