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https://issues.apache.org/jira/browse/SPARK-15571?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joseph K. Bradley updated SPARK-15571:
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Target Version/s: 2.3.0 (was: 2.2.0)
> Pipeline unit test improvements for 2.3
> ---------------------------------------
>
> Key: SPARK-15571
> URL: https://issues.apache.org/jira/browse/SPARK-15571
> Project: Spark
> Issue Type: Test
> Components: ML, PySpark
> Reporter: Joseph K. Bradley
>
> 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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