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