[
https://issues.apache.org/jira/browse/SPARK-13590?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15237022#comment-15237022
]
Yanbo Liang commented on SPARK-13590:
-------------------------------------
If there are constant columns and fitIntercept is false, Spark
AFTSurvivalRegression output different solution from R survreg. We should also
output a warning message and clarify in document. See discussion at
https://github.com/apache/spark/pull/11365.
> Document the behavior of spark.ml logistic 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
>
> 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]
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
