Github user BryanCutler commented on a diff in the pull request: https://github.com/apache/spark/pull/19122#discussion_r138151063 --- Diff: python/pyspark/ml/tuning.py --- @@ -193,7 +194,8 @@ class CrossValidator(Estimator, ValidatorParams, MLReadable, MLWritable): >>> lr = LogisticRegression() >>> grid = ParamGridBuilder().addGrid(lr.maxIter, [0, 1]).build() >>> evaluator = BinaryClassificationEvaluator() - >>> cv = CrossValidator(estimator=lr, estimatorParamMaps=grid, evaluator=evaluator) + >>> cv = CrossValidator(estimator=lr, estimatorParamMaps=grid, evaluator=evaluator, + ... parallelism=2) --- End diff -- Are you planning on adding a unit test to verify that parallel has the same results as serial?
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