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| author | Yanbo Liang <ybliang8@gmail.com> | 2016-06-07 15:25:36 -0700 |
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| committer | Yanbo Liang <ybliang8@gmail.com> | 2016-06-07 15:25:36 -0700 |
| commit | 6ecedf39b44c9acd58cdddf1a31cf11e8e24428c (patch) | |
| tree | 480604299bd07f81c1166d80214b8a1433ff95fd /core/src | |
| parent | 890baaca5078df0b50c0054f55a2c33023f7fd67 (diff) | |
| download | spark-6ecedf39b44c9acd58cdddf1a31cf11e8e24428c.tar.gz spark-6ecedf39b44c9acd58cdddf1a31cf11e8e24428c.tar.bz2 spark-6ecedf39b44c9acd58cdddf1a31cf11e8e24428c.zip | |
[SPARK-13590][ML][DOC] Document spark.ml LiR, LoR and AFTSurvivalRegression behavior difference
## 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.
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