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[Ml] SPARK-5804 Explicitly manage cache in Crossvalidator k-fold loop #4595

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[Ml] SPARK-5804 Explicitly manage cache in Crossvalidator k-fold loop #4595

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[Ml] SPARK-5804 Explicitly manage cache in Crossvalidator k-fold loop
petro-rudenko Feb 13, 2015
66a7cfb
Move validationDataset cache to declaration
petro-rudenko Feb 13, 2015
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2 changes: 2 additions & 0 deletions mllib/src/main/scala/org/apache/spark/ml/tuning/CrossValidator.scala
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Original file line number Diff line number Diff line change
Expand Up @@ -81,13 +81,15 @@ class CrossValidator extends Estimator[CrossValidatorModel] with CrossValidatorP
// multi-model training
logDebug(s"Train split $splitIndex with multiple sets of parameters.")
val models = est.fit(trainingDataset, epm).asInstanceOf[Seq[Model[_]]]
trainingDataset.unpersist()
var i = 0
while (i < numModels) {
val metric = eval.evaluate(models(i).transform(validationDataset, epm(i)), map)
logDebug(s"Got metric $metric for model trained with ${epm(i)}.")
metrics(i) += metric
i += 1
}
validationDataset.unpersist()
}
f2jBLAS.dscal(numModels, 1.0 / map(numFolds), metrics, 1)
logInfo(s"Average cross-validation metrics: ${metrics.toSeq}")
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