Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/15435#discussion_r106727965
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/LogisticRegression.scala
---
@@ -780,19 +788,33 @@ class LogisticRegressionModel private[spark] (
throw new SparkException("No training summary available for this
LogisticRegressionModel")
}
+ @Since("2.2.0")
+ def binarySummary: BinaryLogisticRegressionTrainingSummary = summary
match {
+ case b: BinaryLogisticRegressionTrainingSummary => b
+ case _ =>
+ throw new RuntimeException("Cannot create a binarySummary for a
non-binary model" +
+ s"(numClasses=${numClasses}), use summary instead.")
+ }
+
/**
- * If the probability column is set returns the current model and
probability column,
- * otherwise generates a new column and sets it as the probability
column on a new copy
- * of the current model.
+ * If the probability column and prediction column is set returns the
current model, otherwise
--- End diff --
"If the probability and prediction columns are set, this method returns the
current model, otherwise it generates new columns for them and sets them as
columns on a new copy of the current model."
---
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
