[jira] [Commented] (SPARK-9835) Iteratively reweighted least squares solver for GLMs
[ https://issues.apache.org/jira/browse/SPARK-9835?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=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. -- 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] [Commented] (SPARK-9835) Iteratively reweighted least squares solver for GLMs
[ https://issues.apache.org/jira/browse/SPARK-9835?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=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. -- 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] [Commented] (SPARK-9835) Iteratively reweighted least squares solver for GLMs
[ https://issues.apache.org/jira/browse/SPARK-9835?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=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. -- 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