[jira] [Commented] (SPARK-9835) Iteratively reweighted least squares solver for GLMs

2016-01-03 Thread Yanbo Liang (JIRA)

[ 
https://issues.apache.org/jira/browse/SPARK-9835?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15080618#comment-15080618
 ] 

Yanbo Liang commented on SPARK-9835:


[~mengxr] Are you working on this issue? If you are not working on it, I can 
send a PR in a few days.

> Iteratively reweighted least squares solver for GLMs
> 
>
> Key: SPARK-9835
> URL: https://issues.apache.org/jira/browse/SPARK-9835
> Project: Spark
>  Issue Type: New Feature
>  Components: ML, MLlib
>Reporter: Xiangrui Meng
>Assignee: Xiangrui Meng
>Priority: Critical
>
> After SPARK-9834, we can implement iteratively reweighted least squares 
> (IRLS) solver for GLMs with other families and link functions. It could 
> provide R-like summary statistics after training, but the number of features 
> cannot be very large, e.g. more than 4096.



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[jira] [Commented] (SPARK-9835) Iteratively reweighted least squares solver for GLMs

2015-09-29 Thread Apache Spark (JIRA)

[ 
https://issues.apache.org/jira/browse/SPARK-9835?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14935827#comment-14935827
 ] 

Apache Spark commented on SPARK-9835:
-

User 'davies' has created a pull request for this issue:
https://github.com/apache/spark/pull/7721

> Iteratively reweighted least squares solver for GLMs
> 
>
> Key: SPARK-9835
> URL: https://issues.apache.org/jira/browse/SPARK-9835
> Project: Spark
>  Issue Type: New Feature
>  Components: ML, MLlib
>Reporter: Xiangrui Meng
>Assignee: Xiangrui Meng
>
> After SPARK-9834, we can implement iteratively reweighted least squares 
> (IRLS) solver for GLMs with other families and link functions. It could 
> provide R-like summary statistics after training, but the number of features 
> cannot be very large, e.g. more than 4096.



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[jira] [Commented] (SPARK-9835) Iteratively reweighted least squares solver for GLMs

2015-09-21 Thread Mohamed Baddar (JIRA)

[ 
https://issues.apache.org/jira/browse/SPARK-9835?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14900694#comment-14900694
 ] 

Mohamed Baddar commented on SPARK-9835:
---

Can I work on this issue 
Thanks

> Iteratively reweighted least squares solver for GLMs
> 
>
> Key: SPARK-9835
> URL: https://issues.apache.org/jira/browse/SPARK-9835
> Project: Spark
>  Issue Type: New Feature
>  Components: ML, MLlib
>Reporter: Xiangrui Meng
>Assignee: Xiangrui Meng
>
> After SPARK-9834, we can implement iteratively reweighted least squares 
> (IRLS) solver for GLMs with other families and link functions. It could 
> provide R-like summary statistics after training, but the number of features 
> cannot be very large, e.g. more than 4096.



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