Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/12731#discussion_r63997411
--- Diff: docs/ml-classification-regression.md ---
@@ -62,6 +62,8 @@ For more background and more details about the
implementation, refer to the docu
> The current implementation of logistic regression in `spark.ml` only
supports binary classes. Support for multiclass regression will be added in the
future.
+ > When fitting LogisticRegressionModel without intercept on dataset with
constant nonzero column, Spark ML produce same model as R glmnet but different
from LIBSVM.
--- End diff --
We should be more explicit since we know the corresponding coefficients are
zeros.
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