[jira] [Resolved] (SPARK-15571) Pipeline unit test improvements

["Hyukjin Kwon (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-15571?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon resolved SPARK-15571.
----------------------------------
    Resolution: Incomplete

> Pipeline unit test improvements
> -------------------------------
>
>                 Key: SPARK-15571
>                 URL: https://issues.apache.org/jira/browse/SPARK-15571
>             Project: Spark
>          Issue Type: Test
>          Components: ML, PySpark
>            Reporter: Joseph K. Bradley
>            Priority: Major
>              Labels: bulk-closed
>
> Issue:
> * There are several pieces of standard functionality shared by all algorithms: Params, UIDs, fit/transform/save/load, etc.  Currently, these pieces are generally tested in ad hoc tests for each algorithm.
> * This has led to inconsistent coverage, especially within the Python API.
> Goal:
> * Standardize unit tests for Scala and Python to improve and consolidate test coverage for Params, persistence, and other common functionality.
> * Eliminate duplicate code.  Improve test coverage.  Simplify adding these standard unit tests for future algorithms and APIs.
> This will require several subtasks.  If you identify an issue, please create a subtask, or comment below if the issue needs to be discussed first.



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