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[SPARK-29235][ML][Pyspark]Support avgMetrics in read/write of CrossValidatorModel #26038

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[SPARK-29235][ML][Pyspark]Support avgMetrics in read/write of CrossValidatorModel #26038

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1c594da
Support avgMetrics
shahidki31 Oct 6, 2019
13e3a59
style
shahidki31 Oct 6, 2019
6068f66
update
shahidki31 Oct 17, 2019
b0f1975
style
shahidki31 Oct 17, 2019
5a79a8a
conflict resolve
shahidki31 Oct 17, 2019
5367e54
Merge branch 'master' of https://github.com/apache/spark into avgMetrics
shahidki31 Oct 17, 2019
2755376
minor update
shahidki31 Oct 18, 2019
00c4258
address comment
shahidki31 Oct 18, 2019
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@shahidki31
shahidki31 committed Oct 6, 2019
commit 13e3a59d6570871af1dceeaa7f106c9c12a06307
2 changes: 1 addition & 1 deletion python/pyspark/ml/tuning.py
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Expand Up @@ -450,7 +450,7 @@ def _from_java(cls, java_stage):
avgMetrics = java_stage.avgMetrics()
estimator, epms, evaluator = super(CrossValidatorModel, cls)._from_java_impl(java_stage)

py_stage = cls(bestModel=bestModel,avgMetrics=avgMetrics).setEstimator(estimator)
py_stage = cls(bestModel=bestModel, avgMetrics=avgMetrics).setEstimator(estimator)
py_stage = py_stage.setEstimatorParamMaps(epms).setEvaluator(evaluator)

if java_stage.hasSubModels():
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