Github user yanboliang commented on a diff in the pull request:
https://github.com/apache/spark/pull/10268#discussion_r47742030
--- Diff: python/pyspark/ml/tuning.py ---
@@ -106,7 +107,7 @@ class CrossValidator(Estimator):
>>> 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, seed=42)
--- End diff --
We set default value of ```seed``` to
[```this.getClass.getName.hashCode.toLong```](https://github.com/apache/spark/blob/master/mllib/src/main/scala/org/apache/spark/ml/param/shared/sharedParams.scala#L295)
at Scala side. I think we should keep consistent with that, otherwise users
may get different result when training with the same dataset.
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