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-rw-r--r--mllib/src/main/scala/org/apache/spark/ml/classification/LogisticRegression.scala5
1 files changed, 3 insertions, 2 deletions
diff --git a/mllib/src/main/scala/org/apache/spark/ml/classification/LogisticRegression.scala b/mllib/src/main/scala/org/apache/spark/ml/classification/LogisticRegression.scala
index 343d50c790..5ab63d1de9 100644
--- a/mllib/src/main/scala/org/apache/spark/ml/classification/LogisticRegression.scala
+++ b/mllib/src/main/scala/org/apache/spark/ml/classification/LogisticRegression.scala
@@ -123,9 +123,10 @@ private[classification] trait LogisticRegressionParams extends ProbabilisticClas
/**
* Set thresholds in multiclass (or binary) classification to adjust the probability of
- * predicting each class. Array must have length equal to the number of classes, with values >= 0.
+ * predicting each class. Array must have length equal to the number of classes, with values > 0,
+ * excepting that at most one value may be 0.
* The class with largest value p/t is predicted, where p is the original probability of that
- * class and t is the class' threshold.
+ * class and t is the class's threshold.
*
* Note: When [[setThresholds()]] is called, any user-set value for [[threshold]] will be cleared.
* If both [[threshold]] and [[thresholds]] are set in a ParamMap, then they must be