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https://issues.apache.org/jira/browse/SYSTEMML-2418?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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LI Guobao updated SYSTEMML-2418:
Description: In the context of ml, it would be more efficient to support
the data partitioning
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https://issues.apache.org/jira/browse/SYSTEMML-2418?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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LI Guobao updated SYSTEMML-2418:
Description: In the context of ml, it would be more efficient to support
the data partitioning
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https://issues.apache.org/jira/browse/SYSTEMML-2418?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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LI Guobao updated SYSTEMML-2418:
Description: In the context of ml, the training data will be usually
overfitted in spark driver
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https://issues.apache.org/jira/browse/SYSTEMML-2418?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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LI Guobao updated SYSTEMML-2418:
Description: In the context of ml, the training data will be usually
overfitted in spark driver
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https://issues.apache.org/jira/browse/SYSTEMML-2418?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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LI Guobao updated SYSTEMML-2418:
Summary: Spark data partitioner (was: Distributing data to workers)
> Spark data partitioner
>
