[jira] [Comment Edited] (SPARK-20199) GradientBoostedTreesModel doesn't have featureSubsetStrategy parameter

["pralabhkumar (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-20199?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16027725#comment-16027725 ] 

pralabhkumar edited comment on SPARK-20199 at 5/28/17 7:12 AM:
---------------------------------------------------------------

[~peng.meng@intel.com][~facai] [~srowen]

Please review the pull request /approach,.


was (Author: pralabhkumar):
[~arushkharbanda][~peng.meng@intel.com][~facai] [~srowen]

Please review the pull request /approach,.

> GradientBoostedTreesModel doesn't have  featureSubsetStrategy parameter
> -----------------------------------------------------------------------
>
>                 Key: SPARK-20199
>                 URL: https://issues.apache.org/jira/browse/SPARK-20199
>             Project: Spark
>          Issue Type: Improvement
>          Components: ML, MLlib
>    Affects Versions: 2.1.0
>            Reporter: pralabhkumar
>
> Spark GradientBoostedTreesModel doesn't have featureSubsetStrategy . It Uses random forest internally ,which have featureSubsetStrategy hardcoded "all". It should be provided by the user to have randomness at the feature level.
> This parameter is available in H2O and XGBoost. 
> Sample from H2O.ai 
> gbmParams._col_sample_rate
> Please provide the parameter . 



--
This message was sent by Atlassian JIRA
(v6.3.15#6346)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org