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Posted to issues@spark.apache.org by "Joseph K. Bradley (JIRA)" <ji...@apache.org> on 2015/06/03 22:05:38 UTC
[jira] [Resolved] (SPARK-7541) Check model save/load for MLlib 1.4
[ https://issues.apache.org/jira/browse/SPARK-7541?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Joseph K. Bradley resolved SPARK-7541.
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Resolution: Fixed
Fix Version/s: 1.4.0
> 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
> Fix For: 1.4.0
>
>
> 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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