Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/15779#discussion_r87014522
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/regression/LinearRegression.scala ---
@@ -404,6 +406,13 @@ object LinearRegression extends
DefaultParamsReadable[LinearRegression] {
@Since("1.6.0")
override def load(path: String): LinearRegression = super.load(path)
+
+ /**
+ * When using [[LinearRegression.solver]] == "normal", the solver must
limit the number of
+ * features to at most this number.
--- End diff --
minor suggestion: perhaps an explanation as to why might be useful. "must
limit the number of features to at most this number, because the entire
covariance matrix `X^T^X` will be collected on the driver. This limit helps
prevent memory overflow errors.
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