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https://issues.apache.org/jira/browse/SPARK-13590?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-13590:
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Summary: Document the behavior of spark.ml logistic regression and AFT
survival regression when there are constant features (was: Document the
behavior of spark.ml logistic regression when there are constant features)
> Document the behavior of spark.ml logistic regression and AFT survival
> regression when there are constant features
> ------------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-13590
> URL: https://issues.apache.org/jira/browse/SPARK-13590
> Project: Spark
> Issue Type: Improvement
> Components: ML
> Affects Versions: 2.0.0
> Reporter: Xiangrui Meng
> Assignee: Yanbo Liang
>
> As discussed in SPARK-13029, we decided to keep the current behavior that
> sets all coefficients associated with constant feature columns to zero,
> regardless of intercept, regularization, and standardization settings. This
> is the same behavior as in glmnet. Since this is different from LIBSVM, we
> should document the behavior correctly, add tests, and generate warning
> messages if there are constant columns and `addIntercept` is false.
> cc [~coderxiang] [~dbtsai]
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