You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Nick Pentreath (JIRA)" <ji...@apache.org> on 2017/11/10 11:21:00 UTC
[jira] [Assigned] (SPARK-20199) GradientBoostedTreesModel doesn't
have featureSubsetStrategy parameter
[ https://issues.apache.org/jira/browse/SPARK-20199?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Nick Pentreath reassigned SPARK-20199:
--------------------------------------
Assignee: pralabhkumar
> 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
> Assignee: pralabhkumar
> Fix For: 2.3.0
>
>
> 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
(v6.4.14#64029)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org