GitHub user yanboliang opened a pull request:
https://github.com/apache/spark/pull/12731
[SPARK-13590] [ML] [Doc] Document spark.ml LiR, LoR and
AFTSurvivalRegression behavior difference
## What changes were proposed in this pull request?
When fitting ```LinearRegressionModel``` 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.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/yanboliang/spark spark-13590
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/12731.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #12731
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commit 841c2d3818b1882c96572c4ff5991083c0795fd8
Author: Yanbo Liang <[email protected]>
Date: 2016-04-27T08:47:18Z
Add logWarning for LiR, LoR, AFTSR when fit w/o intercept on dataset with
constant nonzero column
commit 1e017351487b8b3834e32546a6b049a62417529d
Author: Yanbo Liang <[email protected]>
Date: 2016-04-27T09:30:31Z
add docs
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