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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 04:02:31 UTC

[jira] [Updated] (SPARK-3165) DecisionTree does not use sparsity in data

     [ https://issues.apache.org/jira/browse/SPARK-3165?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon updated SPARK-3165:
--------------------------------
    Labels: bulk-closed  (was: )

> DecisionTree does not use sparsity in data
> ------------------------------------------
>
>                 Key: SPARK-3165
>                 URL: https://issues.apache.org/jira/browse/SPARK-3165
>             Project: Spark
>          Issue Type: Improvement
>          Components: MLlib
>            Reporter: Joseph K. Bradley
>            Priority: Minor
>              Labels: bulk-closed
>
> Improvement: computation
> DecisionTree should take advantage of sparse feature vectors.  Aggregation over training data could handle the empty/zero-valued data elements more efficiently.



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