[jira] [Assigned] (SPARK-20348) Support squared hinge loss (L2 loss) for LinearSVC

2017-04-15 Thread Apache Spark (JIRA)

 [ 
https://issues.apache.org/jira/browse/SPARK-20348?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Apache Spark reassigned SPARK-20348:


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. 



--
This message was sent by Atlassian JIRA
(v6.3.15#6346)

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



[jira] [Assigned] (SPARK-20348) Support squared hinge loss (L2 loss) for LinearSVC

2017-04-15 Thread Apache Spark (JIRA)

 [ 
https://issues.apache.org/jira/browse/SPARK-20348?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Apache Spark reassigned SPARK-20348:


Assignee: (was: 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
>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. 



--
This message was sent by Atlassian JIRA
(v6.3.15#6346)

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