Github user srowen commented on a diff in the pull request:
https://github.com/apache/spark/pull/10384#discussion_r48061706
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/evaluation/RegressionMetrics.scala
---
@@ -31,13 +30,17 @@ import org.apache.spark.sql.DataFrame
*/
@Since("1.2.0")
class RegressionMetrics @Since("1.2.0") (
- predictionAndObservations: RDD[(Double, Double)]) extends Logging {
+ predictionAndObservations: RDD[(Double, Double)], isUnbiased: Boolean
= true)
--- End diff --
We'll also have to explain what `isUnbiased` means. Is this really the
canonical term? something about regression through the origin, or not fitting
an intercept, would be more consistent with terminology in Spark?
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