[ https://issues.apache.org/jira/browse/SPARK-3165?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Joseph K. Bradley updated SPARK-3165: ------------------------------------- Priority: Minor (was: Major) > 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 > > Improvement: computation > DecisionTree should take advantage of sparse feature vectors. Aggregation > over training data could handle the empty/zero-valued data elements more > efficiently. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org