Github user yanboliang commented on a diff in the pull request: https://github.com/apache/spark/pull/13194#discussion_r83032628 --- Diff: python/pyspark/ml/evaluation.py --- @@ -311,19 +330,25 @@ def setParams(self, predictionCol="prediction", labelCol="label", if __name__ == "__main__": import doctest + import tempfile + import pyspark.ml.evaluation from pyspark.sql import SparkSession - globs = globals().copy() + globs = pyspark.ml.evaluation.__dict__.copy() # The small batch size here ensures that we see multiple batches, # even in these small test examples: spark = SparkSession.builder\ .master("local[2]")\ .appName("ml.evaluation tests")\ .getOrCreate() - sc = spark.sparkContext - globs['sc'] = sc globs['spark'] = spark - (failure_count, test_count) = doctest.testmod( - globs=globs, optionflags=doctest.ELLIPSIS) - spark.stop() - if failure_count: - exit(-1) --- End diff -- Thanks for remind, added check ```failure_count```.
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