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Posted to issues@spark.apache.org by "Andrew MacKinlay (JIRA)" <ji...@apache.org> on 2017/01/16 05:02:26 UTC
[jira] [Updated] (SPARK-19234) AFTSurvivalRegression chokes
silently or with confusing errors when any labels are zero
[ https://issues.apache.org/jira/browse/SPARK-19234?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Andrew MacKinlay updated SPARK-19234:
-------------------------------------
Attachment: spark-aft-failure.txt
Show failure case (a single zero-valued label, causing many errors and coefficients of zero) and success (replace 0 with 0.001 and everything works as expected)
> AFTSurvivalRegression chokes silently or with confusing errors when any labels are zero
> ---------------------------------------------------------------------------------------
>
> Key: SPARK-19234
> URL: https://issues.apache.org/jira/browse/SPARK-19234
> Project: Spark
> Issue Type: Bug
> Components: ML
> Affects Versions: 2.1.0
> Environment: spark-shell or pyspark
> Reporter: Andrew MacKinlay
> Attachments: spark-aft-failure.txt
>
>
> If you try and use AFTSurvivalRegression and any label in your input data is 0.0, you get coefficients of 0.0 returned, and in many cases, errors like this:
> {{17/01/16 15:10:50 ERROR StrongWolfeLineSearch: Encountered bad values in function evaluation. Decreasing step size to NaN}}
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