Github user srowen commented on a diff in the pull request:

    https://github.com/apache/spark/pull/10384#discussion_r48061563
  
    --- 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)
    +    extends Logging {
     
       /**
        * An auxiliary constructor taking a DataFrame.
        * @param predictionAndObservations a DataFrame with two double columns:
        *                                  prediction and observation
        */
    +  def this(predictionAndObservations: RDD[(Double, Double)]) =
    +    this(predictionAndObservations: RDD[(Double, Double)], true)
    --- End diff --
    
    Why does `predictionAndObservations` need a type in this invocation?


---
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]

Reply via email to