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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