[ https://issues.apache.org/jira/browse/SPARK-3246?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Nicholas Chammas updated SPARK-3246: ------------------------------------ Component/s: MLlib > Support weighted SVMWithSGD for classification of unbalanced dataset > -------------------------------------------------------------------- > > Key: SPARK-3246 > URL: https://issues.apache.org/jira/browse/SPARK-3246 > Project: Spark > Issue Type: Improvement > Components: MLlib > Affects Versions: 0.9.0, 1.0.2 > Reporter: mahesh bhole > > Please support weighted SVMWithSGD for binary classification of unbalanced > dataset.Though other options like undersampling or oversampling can be > used,It will be good if we can have a way to assign weights to minority > class. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org