[ https://issues.apache.org/jira/browse/SPARK-13590?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Xiangrui Meng updated SPARK-13590: ---------------------------------- 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] -- 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