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https://issues.apache.org/jira/browse/SPARK-7541?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14564296#comment-14564296
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yuhao yang edited comment on SPARK-7541 at 5/29/15 7:14 AM:
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Oh, "checked" means I found no python support for save/load for the model. I
guess we can add them in 1.5.
was (Author: yuhaoyan):
Oh, "checked" means I found no python support for save/load for the model.
> 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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