Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/11335#discussion_r54168918
--- Diff: python/pyspark/ml/tuning.py ---
@@ -288,6 +289,172 @@ def copy(self, extra=None):
return CrossValidatorModel(self.bestModel.copy(extra))
+class TrainValidationSplit(Estimator, HasSeed):
+
+ estimator = Param(Params._dummy(), "estimator", "estimator to be
tested")
+ estimatorParamMaps = Param(Params._dummy(), "estimatorParamMaps",
"estimator param maps")
+ evaluator = Param(
+ Params._dummy(), "evaluator",
+ "evaluator used to select hyper-parameters that maximize the
metric")
+ trainRatio = Param(Params._dummy(), "trainRatio", "proportion for
train-validation ratio")
--- End diff --
The description for this parameter in scala is "ratio between training set
and validation set (>= 0 && <= 1)". It would be good to maintain consistency
here.
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