Github user feynmanliang commented on a diff in the pull request:
https://github.com/apache/spark/pull/7099#discussion_r34085343
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/evaluation/RegressionMetrics.scala
---
@@ -31,7 +31,8 @@ import org.apache.spark.sql.DataFrame
* @param predictionAndObservations an RDD of (prediction, observation)
pairs.
*/
@Experimental
-class RegressionMetrics(predictionAndObservations: RDD[(Double, Double)])
extends Logging {
+class RegressionMetrics(@transient predictionAndObservations: RDD[(Double,
Double)])
+ extends Logging with Serializable {
--- End diff --
I agree that `RegressionMetrics` will probably not need to be serialized
and sent to workers. However, `LinearRegressionModel` needs to be serializable
=> `LinearRegressionSummary` and its fields need to as well.
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