[jira] [Assigned] (SPARK-7535) Audit Pipeline APIs for 1.4

["Xiangrui Meng (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-7535?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Xiangrui Meng reassigned SPARK-7535:
------------------------------------

    Assignee: Xiangrui Meng

> 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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