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Yanbo Liang authored
## What changes were proposed in this pull request? When fitting ```LinearRegressionModel```(by "l-bfgs" solver) and ```LogisticRegressionModel``` w/o intercept on dataset with constant nonzero column, spark.ml produce same model as R glmnet but different from LIBSVM. When fitting ```AFTSurvivalRegressionModel``` w/o intercept on dataset with constant nonzero column, spark.ml produce different model compared with R survival::survreg. We should output a warning message and clarify in document for this condition. ## How was this patch tested? Document change, no unit test. cc mengxr Author: Yanbo Liang <ybliang8@gmail.com> Closes #12731 from yanboliang/spark-13590.
Yanbo Liang authored## What changes were proposed in this pull request? When fitting ```LinearRegressionModel```(by "l-bfgs" solver) and ```LogisticRegressionModel``` w/o intercept on dataset with constant nonzero column, spark.ml produce same model as R glmnet but different from LIBSVM. When fitting ```AFTSurvivalRegressionModel``` w/o intercept on dataset with constant nonzero column, spark.ml produce different model compared with R survival::survreg. We should output a warning message and clarify in document for this condition. ## How was this patch tested? Document change, no unit test. cc mengxr Author: Yanbo Liang <ybliang8@gmail.com> Closes #12731 from yanboliang/spark-13590.
