Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/15779#discussion_r87052944
--- 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.
+ */
+ @Since("2.1.0")
+ val MAX_FEATURES_FOR_NORMAL_SOLVER: Int =
WeightedLeastSquares.MAX_NUM_FEATURES
--- End diff --
Yep, I left out "NUM_" for conciseness.
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at [email protected] or file a JIRA ticket
with INFRA.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
