Github user MLnick commented on a diff in the pull request: https://github.com/apache/spark/pull/20257#discussion_r161722104 --- Diff: docs/ml-features.md --- @@ -775,35 +775,43 @@ for more details on the API. </div> </div> -## OneHotEncoder +## OneHotEncoder (Deprecated since 2.3.0) -[One-hot encoding](http://en.wikipedia.org/wiki/One-hot) maps a column of label indices to a column of binary vectors, with at most a single one-value. This encoding allows algorithms which expect continuous features, such as Logistic Regression, to use categorical features. +Because this existing `OneHotEncoder` is a stateless transformer, it is not usable on new data where the number of categories may differ from the training data. In order to fix this, a new `OneHotEncoderEstimator` was created that produces an `OneHotEncoderModel` when fitting. For more detail, please see the JIRA ticket (https://issues.apache.org/jira/browse/SPARK-13030). --- End diff -- Change the JIRA link to a Markdown link, e.g. "see `[SPARK-13030](...)`"
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