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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Assigned] (SPARK-13322) AFTSurvivalRegression should support feature standardization
Date Thu, 25 Feb 2016 08:01:18 GMT

     [ https://issues.apache.org/jira/browse/SPARK-13322?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Apache Spark reassigned SPARK-13322:
------------------------------------

    Assignee: Yanbo Liang  (was: Apache Spark)

> AFTSurvivalRegression should support feature standardization
> ------------------------------------------------------------
>
>                 Key: SPARK-13322
>                 URL: https://issues.apache.org/jira/browse/SPARK-13322
>             Project: Spark
>          Issue Type: Improvement
>          Components: ML
>            Reporter: Yanbo Liang
>            Assignee: Yanbo Liang
>
> This bug is reported by Stuti Awasthi.
> https://www.mail-archive.com/user@spark.apache.org/msg45643.html
> The lossSum has possibility of infinity because we do not standardize the feature before
fitting model, we should support feature standardization.
> Another benefit is that standardization will improve the convergence rate.



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