Github user hqzizania commented on a diff in the pull request:
https://github.com/apache/spark/pull/14717#discussion_r75577571
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/regression/LinearRegression.scala ---
@@ -172,6 +173,17 @@ class LinearRegression @Since("1.3.0")
(@Since("1.3.0") override val uid: String
def setSolver(value: String): this.type = set(solver, value)
setDefault(solver -> "auto")
+ /**
+ * Suggested depth for treeAggregate (>= 2).
+ * If the dimensions of features or the number of partitions are large,
+ * this param could be adjusted to a larger size.
+ * Default is 2.
+ * @group expertParam
--- End diff --
Fixed. Thanks for your comments.
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