You are viewing a plain text version of this content. The canonical link for it is here.

Posted to issues@spark.apache.org by "Julian King (JIRA)" <ji...@apache.org> on 2018/08/06 08:15:00 UTC

[jira] [Commented] (SPARK-9478) Add sample weights to Random Forest

    [ https://issues.apache.org/jira/browse/SPARK-9478?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16569855#comment-16569855 ] 

Julian King commented on SPARK-9478:
------------------------------------

Has there been any progress on this in recent times? It looks like there are multiple pull requests for this but no comments in more than a year.... :(

> Add sample weights to Random Forest
> -----------------------------------
>
>                 Key: SPARK-9478
>                 URL: https://issues.apache.org/jira/browse/SPARK-9478
>             Project: Spark
>          Issue Type: Improvement
>          Components: ML
>    Affects Versions: 1.4.1
>            Reporter: Patrick Crenshaw
>            Priority: Major
>
> Currently, this implementation of random forest does not support sample (instance) weights. Weights are important when there is imbalanced training data or the evaluation metric of a classifier is imbalanced (e.g. true positive rate at some false positive threshold).  Sample weights generalize class weights, so this could be used to add class weights later on.



--
This message was sent by Atlassian JIRA
(v7.6.3#76005)

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