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https://issues.apache.org/jira/browse/SPARK-7751?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14692303#comment-14692303
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Xiangrui Meng commented on SPARK-7751:
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This issue is addressed in SPARK-8967. We tried to use annotation instead of
JavaDoc tag for "since". However, I didn't find a way to make it work.
> Add @since to stable and experimental methods in MLlib
> ------------------------------------------------------
>
> Key: SPARK-7751
> URL: https://issues.apache.org/jira/browse/SPARK-7751
> Project: Spark
> Issue Type: Umbrella
> Components: Documentation, MLlib
> Affects Versions: 1.4.0
> Reporter: Xiangrui Meng
> Assignee: Xiangrui Meng
> Priority: Minor
> Labels: starter
>
> This is useful to check whether a feature exists in some version of Spark.
> This is an umbrella JIRA to track the progress. We want to have @since tag
> for both stable (those without any Experimental/DeveloperApi/AlphaComponent
> annotations) and experimental methods in MLlib:
> (Do NOT tag private or package private classes or methods.)
> * an example PR for Scala: https://github.com/apache/spark/pull/6101
> * an example PR for Python: https://github.com/apache/spark/pull/6295
> We need to dig the history of git commit to figure out what was the Spark
> version when a method was first introduced. Take `NaiveBayes.setModelType` as
> an example. We can grep `def setModelType` at different version git tags.
> {code}
> meng@xm:~/src/spark
> $ git show
> v1.3.0:mllib/src/main/scala/org/apache/spark/mllib/classification/NaiveBayes.scala
> | grep "def setModelType"
> meng@xm:~/src/spark
> $ git show
> v1.4.0:mllib/src/main/scala/org/apache/spark/mllib/classification/NaiveBayes.scala
> | grep "def setModelType"
> def setModelType(modelType: String): NaiveBayes = {
> {code}
> If there are better ways, please let us know.
> We cannot add all @since tags in a single PR, which is hard to review. So we
> made some subtasks for each package, for example
> `org.apache.spark.classification`. Feel free to add more sub-tasks for Python
> and the `spark.ml` package.
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