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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2016/06/29 00:31:10 UTC
[jira] [Assigned] (SPARK-14351) Optimize ImpurityAggregator for
decision trees
[ https://issues.apache.org/jira/browse/SPARK-14351?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-14351:
------------------------------------
Assignee: Apache Spark
> Optimize ImpurityAggregator for decision trees
> ----------------------------------------------
>
> Key: SPARK-14351
> URL: https://issues.apache.org/jira/browse/SPARK-14351
> Project: Spark
> Issue Type: Improvement
> Components: ML
> Reporter: Joseph K. Bradley
> Assignee: Apache Spark
>
> {{RandomForest.binsToBestSplit}} currently takes a large amount of time. Based on some quick profiling, I believe a big chunk of this is spent in {{ImpurityAggregator.getCalculator}} (which seems to make unnecessary Array copies) and {{RandomForest.calculateImpurityStats}}.
> This JIRA is for:
> * Doing more profiling to confirm that unnecessary time is being spent in some of these methods.
> * Optimizing the implementation
> * Profiling again to confirm the speedups
> Local profiling for large enough examples should suffice, especially since the optimizations should not need to change the amount of data communicated.
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