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https://issues.apache.org/jira/browse/SPARK-20348?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-20348:
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Assignee: Apache Spark
> Support squared hinge loss (L2 loss) for LinearSVC
> --------------------------------------------------
>
> Key: SPARK-20348
> URL: https://issues.apache.org/jira/browse/SPARK-20348
> Project: Spark
> Issue Type: New Feature
> Components: ML
> Affects Versions: 2.2.0
> Reporter: yuhao yang
> Assignee: Apache Spark
> Priority: Minor
>
> While Hinge loss is the standard loss function for linear SVM, Squared hinge
> loss (a.k.a. L2 loss) is also popular in practice. L2-SVM is differentiable
> and imposes a bigger (quadratic vs. linear) loss for points which violate the
> margin. Some introduction can be found from
> http://mccormickml.com/2015/01/06/what-is-an-l2-svm/
> Liblinear and [scikit
> learn|http://scikit-learn.org/stable/modules/generated/sklearn.svm.LinearSVC.html]
> both offer squared hinge loss as the default loss function for linear SVM.
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