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

    https://github.com/apache/spark/pull/8079#discussion_r36785932
  
    --- Diff: 
mllib/src/main/scala/org/apache/spark/ml/classification/LogisticRegression.scala
 ---
    @@ -43,36 +42,76 @@ import org.apache.spark.storage.StorageLevel
      */
     private[classification] trait LogisticRegressionParams extends 
ProbabilisticClassifierParams
       with HasRegParam with HasElasticNetParam with HasMaxIter with 
HasFitIntercept with HasTol
    -  with HasStandardization {
    +  with HasStandardization with HasThreshold {
     
       /**
    -   * Version of setThresholds() for binary classification, available for 
backwards
    -   * compatibility.
    +   * Set threshold in binary classification prediction, in range [0, 1].
        *
    -   * Calling this with threshold p will effectively call 
`setThresholds(Array(1-p, p))`.
    +   * If the estimated probability of class label 1 is > threshold, then 
predict 1, else 0.
    +   * A high threshold encourages the model to predict 0 more often;
    +   * a low threshold encourages the model to predict 1 more often.
        *
    -   * Default is effectively 0.5.
    +   * Note: Calling this with threshold p is equivalent to calling 
`setThresholds(Array(1-p, p))`.
    +   *       If both [[threshold]] and [[thresholds]] are set, then they 
must agree in this way,
    +   *       else an [[IllegalArgumentException]] will be thrown.
    +   *
    --- End diff --
    
    Where do we throw `IllegalArgumentException`?


---
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 infrastruct...@apache.org or file a JIRA ticket
with INFRA.
---

---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org
For additional commands, e-mail: reviews-h...@spark.apache.org

Reply via email to