[jira] [Commented] (SPARK-3724) RandomForest: More options for feature subset size

2016-03-27 Thread Yong Tang (JIRA)

[ 
https://issues.apache.org/jira/browse/SPARK-3724?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15213517#comment-15213517
 ] 

Yong Tang commented on SPARK-3724:
--

I can work on this one. Will create a PR soon.

> RandomForest: More options for feature subset size
> --
>
> Key: SPARK-3724
> URL: https://issues.apache.org/jira/browse/SPARK-3724
> Project: Spark
>  Issue Type: Improvement
>  Components: MLlib
>Reporter: Joseph K. Bradley
>Priority: Minor
>
> RandomForest currently supports using a few values for the number of features 
> to sample per node: all, sqrt, log2, etc.  It should support any given value 
> (to allow model search).
> Proposal: If the parameter for specifying the number of features per node is 
> not recognized (as “all”, “sqrt”, etc.), then it will be parsed as a 
> numerical value.  The value should be either (a) a real value in [0,1] 
> specifying the fraction of features in each subset or (b) an integer value 
> specifying the number of features in each subset.



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[jira] [Commented] (SPARK-3724) RandomForest: More options for feature subset size

2016-03-27 Thread Apache Spark (JIRA)

[ 
https://issues.apache.org/jira/browse/SPARK-3724?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15213666#comment-15213666
 ] 

Apache Spark commented on SPARK-3724:
-

User 'yongtang' has created a pull request for this issue:
https://github.com/apache/spark/pull/11989

> RandomForest: More options for feature subset size
> --
>
> Key: SPARK-3724
> URL: https://issues.apache.org/jira/browse/SPARK-3724
> Project: Spark
>  Issue Type: Improvement
>  Components: MLlib
>Reporter: Joseph K. Bradley
>Priority: Minor
>
> RandomForest currently supports using a few values for the number of features 
> to sample per node: all, sqrt, log2, etc.  It should support any given value 
> (to allow model search).
> Proposal: If the parameter for specifying the number of features per node is 
> not recognized (as “all”, “sqrt”, etc.), then it will be parsed as a 
> numerical value.  The value should be either (a) a real value in [0,1] 
> specifying the fraction of features in each subset or (b) an integer value 
> specifying the number of features in each subset.



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[jira] [Commented] (SPARK-3724) RandomForest: More options for feature subset size

2016-03-27 Thread Yong Tang (JIRA)

[ 
https://issues.apache.org/jira/browse/SPARK-3724?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15213667#comment-15213667
 ] 

Yong Tang commented on SPARK-3724:
--

[~josephkb] I just created a pull request for this issue. Let me know if there 
are any issues.


> RandomForest: More options for feature subset size
> --
>
> Key: SPARK-3724
> URL: https://issues.apache.org/jira/browse/SPARK-3724
> Project: Spark
>  Issue Type: Improvement
>  Components: MLlib
>Reporter: Joseph K. Bradley
>Priority: Minor
>
> RandomForest currently supports using a few values for the number of features 
> to sample per node: all, sqrt, log2, etc.  It should support any given value 
> (to allow model search).
> Proposal: If the parameter for specifying the number of features per node is 
> not recognized (as “all”, “sqrt”, etc.), then it will be parsed as a 
> numerical value.  The value should be either (a) a real value in [0,1] 
> specifying the fraction of features in each subset or (b) an integer value 
> specifying the number of features in each subset.



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