Github user jkbradley commented on a diff in the pull request: https://github.com/apache/spark/pull/12020#discussion_r58596570 --- Diff: python/pyspark/ml/tuning.py --- @@ -91,7 +94,90 @@ def build(self): return [dict(zip(keys, prod)) for prod in itertools.product(*grid_values)] -class CrossValidator(Estimator, HasSeed): +class ValidatorParams(Params): + """ + Common params for TrainValidationSplit and CrossValidator. + """ + + estimator = Param(Params._dummy(), "estimator", "estimator to be cross-validated") + estimatorParamMaps = Param(Params._dummy(), "estimatorParamMaps", "estimator param maps") + evaluator = Param( + Params._dummy(), "evaluator", + "evaluator used to select hyper-parameters that maximize the validator metric") + + def __init__(self): --- End diff -- no need to include this (default implementation)
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