[jira] [Assigned] (SPARK-16697) redundant RDD computation in LDAOptimizer
[ https://issues.apache.org/jira/browse/SPARK-16697?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-16697: Assignee: Apache Spark > redundant RDD computation in LDAOptimizer > - > > Key: SPARK-16697 > URL: https://issues.apache.org/jira/browse/SPARK-16697 > Project: Spark > Issue Type: Improvement > Components: ML, MLlib >Affects Versions: 2.0.1, 2.1.0 >Reporter: Weichen Xu >Assignee: Apache Spark > Original Estimate: 24h > Remaining Estimate: 24h > > In mllib.clustering.LDAOptimizer > the submitMiniBatch method, > the stats: RDD do not persist but the following code will use it twice. > so it cause redundant computation on it. > and there is another problem, > the expElogbetaBc broadcast variable is unpersist too early, > and the next statement > ` > val gammat: BDM[Double] = breeze.linalg.DenseMatrix.vertcat(val gammat: > BDM[Double] = breeze.linalg.DenseMatrix.vertcat( >stats.map(_._2).flatMap(list => list).collect().map(_.toDenseMatrix): > _*) > ` > will re-compute the stats RDD, it will use expElogbetaBc broadcast variable > again, > so the expElogbetaBc broadcast variable will be broadcast again. -- 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
[jira] [Assigned] (SPARK-16697) redundant RDD computation in LDAOptimizer
[ https://issues.apache.org/jira/browse/SPARK-16697?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-16697: Assignee: (was: Apache Spark) > redundant RDD computation in LDAOptimizer > - > > Key: SPARK-16697 > URL: https://issues.apache.org/jira/browse/SPARK-16697 > Project: Spark > Issue Type: Improvement > Components: ML, MLlib >Affects Versions: 2.0.1, 2.1.0 >Reporter: Weichen Xu > Original Estimate: 24h > Remaining Estimate: 24h > > In mllib.clustering.LDAOptimizer > the submitMiniBatch method, > the stats: RDD do not persist but the following code will use it twice. > so it cause redundant computation on it. > and there is another problem, > the expElogbetaBc broadcast variable is unpersist too early, > and the next statement > ` > val gammat: BDM[Double] = breeze.linalg.DenseMatrix.vertcat(val gammat: > BDM[Double] = breeze.linalg.DenseMatrix.vertcat( >stats.map(_._2).flatMap(list => list).collect().map(_.toDenseMatrix): > _*) > ` > will re-compute the stats RDD, it will use expElogbetaBc broadcast variable > again, > so the expElogbetaBc broadcast variable will be broadcast again. -- 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
