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https://issues.apache.org/jira/browse/SPARK-9478?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14647772#comment-14647772
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Patrick Crenshaw commented on SPARK-9478:
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Similar to this ticket for Logistic Regression
https://issues.apache.org/jira/browse/SPARK-7685 and this one for SVMWithSGD
https://issues.apache.org/jira/browse/SPARK-3246
> Add class weights to Random Forest
> ----------------------------------
>
> Key: SPARK-9478
> URL: https://issues.apache.org/jira/browse/SPARK-9478
> Project: Spark
> Issue Type: Improvement
> Components: ML, MLlib
> Affects Versions: 1.4.1
> Reporter: Patrick Crenshaw
>
> Currently, this implementation of random forest does not support class
> weights. Class 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).
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