Github user feynmanliang commented on a diff in the pull request:
https://github.com/apache/spark/pull/8079#discussion_r36687648
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/LogisticRegression.scala
---
@@ -43,36 +42,60 @@ 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].
+ * If [[thresholds]] is set, then [[threshold]] is ignored.
--- End diff --
I get that `thresholds` is a param, but what does `threshold` refer to here?
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