Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/6088#discussion_r30193566
--- Diff: python/pyspark/ml/tuning.py ---
@@ -229,6 +228,24 @@ def fit(self, dataset, params={}):
bestModel = est.fit(dataset, epm[bestIndex])
return CrossValidatorModel(bestModel)
+ def copy(self, extra={}):
+ """
+ Creates a copy of this instance with a randomly generated uid
+ and some extra params. This copies the underlying estimator,
+ evaluator, and estimatorParamMap, creates a deep copy of the
+ embedded paramMap, and copies the embedded and extra parameters
+ over.
+ :param extra: Extra parameters to copy to the new instance
+ :return: Copy of this instance
+ """
+ newCV = Params.copy(self, extra)
--- End diff --
I realized that, while I believe this works, it will make a deep copy of
the Estimator and Evaluator, which is a little inefficient. Not that important
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