[
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-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
