[jira] [Assigned] (SPARK-20542) Add an API into Bucketizer that can bin a lot of columns all at once
[ https://issues.apache.org/jira/browse/SPARK-20542?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Nick Pentreath reassigned SPARK-20542: -- Assignee: Liang-Chi Hsieh > Add an API into Bucketizer that can bin a lot of columns all at once > > > Key: SPARK-20542 > URL: https://issues.apache.org/jira/browse/SPARK-20542 > Project: Spark > Issue Type: New Feature > Components: ML >Affects Versions: 2.2.0 >Reporter: Liang-Chi Hsieh >Assignee: Liang-Chi Hsieh > > Current ML's Bucketizer can only bin a column of continuous features. If a > dataset has thousands of of continuous columns needed to bin, we will result > in thousands of ML stages. It is very inefficient regarding query planning > and execution. > We should have a type of bucketizer that can bin a lot of columns all at > once. It would need to accept an list of arrays of split points to correspond > to the columns to bin, but it might make things more efficient by replacing > thousands of stages with just one. -- This message was sent by Atlassian JIRA (v6.4.14#64029) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-20542) Add an API into Bucketizer that can bin a lot of columns all at once
[ https://issues.apache.org/jira/browse/SPARK-20542?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-20542: Assignee: (was: Apache Spark) > Add an API into Bucketizer that can bin a lot of columns all at once > > > Key: SPARK-20542 > URL: https://issues.apache.org/jira/browse/SPARK-20542 > Project: Spark > Issue Type: New Feature > Components: ML >Affects Versions: 2.2.0 >Reporter: Liang-Chi Hsieh > > Current ML's Bucketizer can only bin a column of continuous features. If a > dataset has thousands of of continuous columns needed to bin, we will result > in thousands of ML stages. It is very inefficient regarding query planning > and execution. > We should have a type of bucketizer that can bin a lot of columns all at > once. It would need to accept an list of arrays of split points to correspond > to the columns to bin, but it might make things more efficient by replacing > thousands of stages with just one. -- This message was sent by Atlassian JIRA (v6.3.15#6346) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-20542) Add an API into Bucketizer that can bin a lot of columns all at once
[ https://issues.apache.org/jira/browse/SPARK-20542?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-20542: Assignee: Apache Spark > Add an API into Bucketizer that can bin a lot of columns all at once > > > Key: SPARK-20542 > URL: https://issues.apache.org/jira/browse/SPARK-20542 > Project: Spark > Issue Type: New Feature > Components: ML >Affects Versions: 2.2.0 >Reporter: Liang-Chi Hsieh >Assignee: Apache Spark > > Current ML's Bucketizer can only bin a column of continuous features. If a > dataset has thousands of of continuous columns needed to bin, we will result > in thousands of ML stages. It is very inefficient regarding query planning > and execution. > We should have a type of bucketizer that can bin a lot of columns all at > once. It would need to accept an list of arrays of split points to correspond > to the columns to bin, but it might make things more efficient by replacing > thousands of stages with just one. -- This message was sent by Atlassian JIRA (v6.3.15#6346) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
