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https://issues.apache.org/jira/browse/SPARK-15936?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-15936.
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Resolution: Duplicate
> CLONE - Add class weights to Random Forest
> ------------------------------------------
>
> Key: SPARK-15936
> URL: https://issues.apache.org/jira/browse/SPARK-15936
> Project: Spark
> Issue Type: Improvement
> Components: ML, MLlib
> Affects Versions: 1.4.1
> Reporter: Yuewei Na
>
> 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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