Github user MLnick commented on a diff in the pull request:
https://github.com/apache/spark/pull/20332#discussion_r162873036
--- Diff: docs/ml-classification-regression.md ---
@@ -97,10 +97,6 @@ only available on the driver.
[`LogisticRegressionTrainingSummary`](api/scala/index.html#org.apache.spark.ml.classification.LogisticRegressionTrainingSummary)
provides a summary for a
[`LogisticRegressionModel`](api/scala/index.html#org.apache.spark.ml.classification.LogisticRegressionModel).
-Currently, only binary classification is supported and the
--- End diff --
Should we add a note reflecting the difference between the summary and
binary summary? Perhaps indicating the usage of `binarySummary` or `asBinary`
method?
I know it's done in the example but perhaps a short line about that.
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