Github user yanboliang commented on a diff in the pull request: https://github.com/apache/spark/pull/10594#discussion_r48823622 --- 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 -- This is not the end, it will concat with the next line in the generated doc.
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