[jira] [Reopened] (SPARK-18946) treeAggregate will be low effficiency when aggregate high dimension vectors in ML algorithm

2017-02-20 Thread zunwen you (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-18946?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] zunwen you reopened SPARK-18946: I have implement a sliceAggregate for RDD, which proform better than treeAggregate when dimension of

[jira] [Closed] (SPARK-18946) treeAggregate will be low effficiency when aggregate high dimension vectors in ML algorithm

2016-12-20 Thread zunwen you (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-18946?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] zunwen you closed SPARK-18946. -- Resolution: Duplicate > treeAggregate will be low effficiency when aggregate high dimension vectors >

[jira] [Updated] (SPARK-18946) treeAggregate will be low effficiency when aggregate high dimension vectors in ML algorithm

2016-12-20 Thread zunwen you (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-18946?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] zunwen you updated SPARK-18946: --- Summary: treeAggregate will be low effficiency when aggregate high dimension vectors in ML algorithm

[jira] [Created] (SPARK-18946) treeAggregate will be low effficiency when aggregate high dimension vector in ML algorithm

2016-12-20 Thread zunwen you (JIRA)
zunwen you created SPARK-18946: -- Summary: treeAggregate will be low effficiency when aggregate high dimension vector in ML algorithm Key: SPARK-18946 URL: https://issues.apache.org/jira/browse/SPARK-18946

[jira] [Commented] (SPARK-16495) Add ADMM optimizer in mllib package

2016-08-23 Thread zunwen you (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-16495?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15432275#comment-15432275 ] zunwen you commented on SPARK-16495: Great, I am looking forward to migrating my ADMM implementation

[jira] [Commented] (SPARK-16495) Add ADMM optimizer in mllib package

2016-07-18 Thread zunwen you (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-16495?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15383477#comment-15383477 ] zunwen you commented on SPARK-16495: I am working on it. I am going to use the implemented ADMM in

[jira] [Closed] (SPARK-16493) Add ADMM optimizer in mllib package

2016-07-12 Thread zunwen you (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-16493?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] zunwen you closed SPARK-16493. -- Resolution: Duplicate > Add ADMM optimizer in mllib package > --- > >

[jira] [Updated] (SPARK-16495) Add ADMM optimizer in mllib package

2016-07-12 Thread zunwen you (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-16495?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] zunwen you updated SPARK-16495: --- Description: Alternating Direction Method of Multipliers (ADMM) is well suited to distributed

[jira] [Updated] (SPARK-16495) Add ADMM optimizer in mllib package

2016-07-12 Thread zunwen you (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-16495?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] zunwen you updated SPARK-16495: --- Description: Alternating Direction Method of Multipliers (ADMM) is well suited to distributed

[jira] [Created] (SPARK-16495) Add ADMM optimizer in mllib package

2016-07-12 Thread zunwen you (JIRA)
zunwen you created SPARK-16495: -- Summary: Add ADMM optimizer in mllib package Key: SPARK-16495 URL: https://issues.apache.org/jira/browse/SPARK-16495 Project: Spark Issue Type: New Feature

[jira] [Created] (SPARK-16493) Add ADMM optimizer in mllib package

2016-07-12 Thread zunwen you (JIRA)
zunwen you created SPARK-16493: -- Summary: Add ADMM optimizer in mllib package Key: SPARK-16493 URL: https://issues.apache.org/jira/browse/SPARK-16493 Project: Spark Issue Type: New Feature