Andrew MacKinlay created SPARK-19234:
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Summary: 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
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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