Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/11335#discussion_r54307309
--- Diff: python/pyspark/ml/tuning.py ---
@@ -288,6 +289,195 @@ def copy(self, extra=None):
return CrossValidatorModel(self.bestModel.copy(extra))
+class TrainValidationSplit(Estimator, HasSeed):
+ """
+ Train-Validation-Split.
+ >>> from pyspark.ml.classification import LogisticRegression
+ >>> from pyspark.ml.evaluation import BinaryClassificationEvaluator
+ >>> from pyspark.mllib.linalg import Vectors
+ >>> dataset = sqlContext.createDataFrame(
+ ... [(Vectors.dense([0.0]), 0.0),
+ ... (Vectors.dense([0.4]), 1.0),
+ ... (Vectors.dense([0.5]), 0.0),
+ ... (Vectors.dense([0.6]), 1.0),
+ ... (Vectors.dense([1.0]), 1.0)] * 10,
+ ... ["features", "label"])
+ >>> lr = LogisticRegression()
+ >>> grid = ParamGridBuilder().addGrid(lr.maxIter, [0, 1]).build()
+ >>> evaluator = BinaryClassificationEvaluator()
+ >>> tvs = TrainValidationSplit(estimator=lr, estimatorParamMaps=grid,
evaluator=evaluator)
+ >>> tvsModel = tvs.fit(dataset)
+ >>> evaluator.evaluate(tvsModel.transform(dataset))
+ 0.8333...
+
+ .. versionadded:: 2.0.0
+ """
+
+ 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
validated metric")
+ trainRatio = Param(Params._dummy(), "trainRatio", "Param for ratio
between train and\
+ validation data. Must be between 0 and 1.")
+
+ @keyword_only
+ def __init__(self, estimator=None, estimatorParamMaps=None,
evaluator=None, trainRatio=0.75,
+ seed=None):
+ """
+ __init__(self, estimator=None, estimatorParamMaps=None,
evaluator=None, trainRatio=0.75,\
+ seed=None)
+ """
+ super(TrainValidationSplit, self).__init__()
+ self._setDefault(trainRatio=0.75)
+ kwargs = self.__init__._input_kwargs
+ self._set(**kwargs)
+
+ @since("2.0.0")
+ @keyword_only
+ def setParams(self, estimator=None, estimatorParamMaps=None,
evaluator=None, trainRatio=0.75,
+ seed=None):
+ """
+ setParams(self, estimator=None, estimatorParamMaps=None,
evaluator=None, trainRatio= 0.75,\
--- End diff --
nit: remove space after `trainRatio=`
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at [email protected] or file a JIRA ticket
with INFRA.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
