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Posted to issues@spark.apache.org by "Xiangrui Meng (JIRA)" <ji...@apache.org> on 2016/04/11 20:17:25 UTC
[jira] [Updated] (SPARK-13322) AFTSurvivalRegression should support
feature standardization
[ https://issues.apache.org/jira/browse/SPARK-13322?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Xiangrui Meng updated SPARK-13322:
----------------------------------
Shepherd: Xiangrui Meng (was: DB Tsai)
> 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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