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From "Joseph K. Bradley (JIRA)" <j...@apache.org>
Subject [jira] [Created] (SPARK-3165) DecisionTree does not use sparsity in data
Date Wed, 20 Aug 2014 22:27:28 GMT
Joseph K. Bradley created SPARK-3165:
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             Summary: 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


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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