Github user feynmanliang commented on a diff in the pull request:
https://github.com/apache/spark/pull/8079#discussion_r36687727
--- 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.
*
- * 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))`.
--- End diff --
This is no longer true since we are now backing with an Array
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