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https://issues.apache.org/jira/browse/SPARK-5254?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Patrick Wendell updated SPARK-5254:
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Component/s: MLlib
> Update the user guide to make clear that spark.mllib is not being deprecated
> ----------------------------------------------------------------------------
>
> Key: SPARK-5254
> URL: https://issues.apache.org/jira/browse/SPARK-5254
> Project: Spark
> Issue Type: Documentation
> Components: MLlib
> Reporter: Xiangrui Meng
> Assignee: Xiangrui Meng
> Fix For: 1.3.0, 1.2.1
>
>
> The current statement in the user guide may deliver confusing messages to
> users. spark.ml contains high-level APIs for building ML pipelines. But it
> doesn't mean that spark.mllib is being deprecated.
> First of all, the pipeline API is in its alpha stage and we need to see more
> use cases from the community to stabilizes it, which may take several
> releases. Secondly, the components in spark.ml are simple wrappers over
> spark.mllib implementations. Neither the APIs or the implementations from
> spark.mllib are being deprecated. We expect users use spark.ml pipeline APIs
> to build their ML pipelines, but we will keep supporting and adding features
> to spark.mllib. For example, there are many features in review at
> https://spark-prs.appspot.com/#mllib. So users should be comfortable with
> using spark.mllib features and expect more coming. The user guide needs to be
> updated to make the message clear.
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