Github user yanboliang commented on a diff in the pull request:
https://github.com/apache/spark/pull/17922#discussion_r119992981
--- Diff: python/pyspark/ml/tests.py ---
@@ -819,6 +847,84 @@ def logistic_regression_check_thresholds(self):
LogisticRegression, threshold=0.42, thresholds=[0.5, 0.5]
)
+ def test_binomial_logistic_regression_bounds(self):
--- End diff --
Usually it's not need to write exactly the same test as Scala in PySpark,
we can use a simple test with loading a dataset or generating a very simple
dataset and run constrained LR on it. You can refer test cases in
[test.py](https://github.com/apache/spark/blob/master/python/pyspark/ml/tests.py)
or other tests like
[this](https://github.com/apache/spark/blob/master/python/pyspark/ml/classification.py#L200).
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