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https://issues.apache.org/jira/browse/SPARK-7535?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14554687#comment-14554687
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Apache Spark commented on SPARK-7535:
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User 'mengxr' has created a pull request for this issue:
https://github.com/apache/spark/pull/6322
> Audit Pipeline APIs for 1.4
> ---------------------------
>
> Key: SPARK-7535
> URL: https://issues.apache.org/jira/browse/SPARK-7535
> Project: Spark
> Issue Type: Sub-task
> Components: ML, PySpark
> Reporter: Joseph K. Bradley
> Assignee: Xiangrui Meng
>
> This is an umbrella for auditing the Pipeline (spark.ml) APIs. Items to
> check:
> * Public/protected/private access
> * Consistency across spark.ml
> * Classes, methods, and parameters in spark.mllib but missing in spark.ml
> ** We should create JIRAs for each of these (under an umbrella) as to-do
> items for future releases.
> For each algorithm or API component, create a subtask under this umbrella.
> Some major new items:
> * new feature transformers
> * tree models
> * elastic-net
> * ML attributes
> * developer APIs (Predictor, Classifier, Regressor)
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