From f4fc9c4e9e7045406fd3fd6856846a41acdb1335 Mon Sep 17 00:00:00 2001 From: martinzapletal Date: Fri, 10 Jul 2015 18:02:41 -0400 Subject: [PATCH] SPARK-8484 Resolved feedback to https://github.com/apache/spark/pull/7337 --- .../org/apache/spark/ml/tuning/TrainValidationSplit.scala | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/mllib/src/main/scala/org/apache/spark/ml/tuning/TrainValidationSplit.scala b/mllib/src/main/scala/org/apache/spark/ml/tuning/TrainValidationSplit.scala index 5f4e94a66f031..d2f28667af5cc 100644 --- a/mllib/src/main/scala/org/apache/spark/ml/tuning/TrainValidationSplit.scala +++ b/mllib/src/main/scala/org/apache/spark/ml/tuning/TrainValidationSplit.scala @@ -52,15 +52,15 @@ private[ml] trait TrainValidatorSplitParams extends ValidatorParams { /** * :: Experimental :: * Validation for hyper-parameter tuning. - * Randomly splits the input dataset into train and validation sets. - * And uses evaluation metric on the validation set to select the best model. - * Similar to CrossValidator, but only splits the set once. + * Randomly splits the input dataset into train and validation sets, + * and uses evaluation metric on the validation set to select the best model. + * Similar to [[CrossValidator]], but only splits the set once. */ @Experimental class TrainValidatorSplit(override val uid: String) extends Estimator[TrainValidatorSplitModel] with TrainValidatorSplitParams with Logging { - def this() = this(Identifiable.randomUID("cv")) + def this() = this(Identifiable.randomUID("tvs")) /** @group setParam */ def setEstimator(value: Estimator[_]): this.type = set(estimator, value)