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From "Joseph K. Bradley (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SPARK-7541) Check model save/load for MLlib 1.4
Date Tue, 26 May 2015 21:08:21 GMT

     [ https://issues.apache.org/jira/browse/SPARK-7541?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Joseph K. Bradley updated SPARK-7541:
-------------------------------------
    Assignee: yuhao yang

> Check model save/load for MLlib 1.4
> -----------------------------------
>
>                 Key: SPARK-7541
>                 URL: https://issues.apache.org/jira/browse/SPARK-7541
>             Project: Spark
>          Issue Type: Sub-task
>          Components: ML, MLlib, PySpark
>            Reporter: Joseph K. Bradley
>            Assignee: yuhao yang
>
> For each model which supports save/load methods, we need to verify:
> * These methods are tested in unit tests in Scala and Python (if save/load is supported
in Python).
> * If a model's name, data members, or constructors have changed _at all_, then we likely
need to support a new save/load format version.  Different versions must be tested in unit
tests to ensure backwards compatibility (i.e., verify we can load old model formats).
> * Examples in the programming guide should include save/load when available.  It's important
to try running each example in the guide whenever it is modified (since there are no automated
tests).



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