Github user MLnick commented on a diff in the pull request: https://github.com/apache/spark/pull/13894#discussion_r69524371 --- Diff: mllib/src/main/scala/org/apache/spark/ml/tuning/CrossValidator.scala --- @@ -56,7 +56,10 @@ private[ml] trait CrossValidatorParams extends ValidatorParams { /** * :: Experimental :: - * K-fold cross validation. + * CrossValidator begins by splitting the dataset into a set of non-overlapping randomly --- End diff -- sorry about this, but looking at it again I think we can clean up the description a bit more: `CrossValidator performs model selection by splitting the dataset into a set of non-overlapping randomly partitioned folds, which are used as separate training and test datasets. For example, with k=3 folds, ...`
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