Github user BenFradet commented on a diff in the pull request:
https://github.com/apache/spark/pull/10594#discussion_r48824613
--- Diff: docs/ml-classification-regression.md ---
@@ -535,7 +535,9 @@ The main differences between this API and the [original
MLlib Decision Tree API]
* use of DataFrame metadata to distinguish continuous and categorical
features
-The Pipelines API for Decision Trees offers a bit more functionality than
the original API. In particular, for classification, users can get the
predicted probability of each class (a.k.a. class conditional probabilities).
+The Pipelines API for Decision Trees offers a bit more functionality than
the original API.
+In particular, for classification, users can get the predicted probability
of each class (a.k.a. class conditional probabilities);
--- End diff --
My bad, I didnt understand the sentence correctly.
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