[jira] [Updated] (SPARK-14706) Python ML persistence integration test

["Joseph K. Bradley (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-14706?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Joseph K. Bradley updated SPARK-14706:
--------------------------------------
    Target Version/s: 2.2.0  (was: 2.1.0)

> Python ML persistence integration test
> --------------------------------------
>
>                 Key: SPARK-14706
>                 URL: https://issues.apache.org/jira/browse/SPARK-14706
>             Project: Spark
>          Issue Type: Test
>          Components: ML, PySpark
>            Reporter: Joseph K. Bradley
>
> Goal: extend integration test in {{ml/tests.py}}.
> In the {{PersistenceTest}} suite, there is a method {{_compare_pipelines}}.  This issue includes:
> * Extending {{_compare_pipelines}} to handle CrossValidator, TrainValidationSplit, and OneVsRest
> * Adding an integration test in PersistenceTest which includes nested meta-algorithms.  E.g.: {{Pipeline[ CrossValidator[ TrainValidationSplit[ OneVsRest[ LogisticRegression ] ] ] ]}}.



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