[
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}}
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
