You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Xiangrui Meng (JIRA)" <ji...@apache.org> on 2015/01/16 20:10:34 UTC
[jira] [Resolved] (SPARK-3726) RandomForest: Support for bootstrap
options
[ https://issues.apache.org/jira/browse/SPARK-3726?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Xiangrui Meng resolved SPARK-3726.
----------------------------------
Resolution: Fixed
Fix Version/s: 1.2.0
Assignee: Manish Amde (was: Manoj Kumar)
Implemented in PR https://github.com/apache/spark/pull/2607
> RandomForest: Support for bootstrap options
> -------------------------------------------
>
> Key: SPARK-3726
> URL: https://issues.apache.org/jira/browse/SPARK-3726
> Project: Spark
> Issue Type: Improvement
> Components: MLlib
> Reporter: Joseph K. Bradley
> Assignee: Manish Amde
> Priority: Minor
> Fix For: 1.2.0
>
>
> RandomForest uses BaggedPoint to simulate bootstrapped samples of the data. The expected size of each sample is the same as the original data (sampling rate = 1.0), and sampling is done with replacement. Adding support for other sampling rates and for sampling without replacement would be useful.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org