huaxingao commented on a change in pull request #28704:
URL: https://github.com/apache/spark/pull/28704#discussion_r434665819
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File path: mllib/src/main/scala/org/apache/spark/mllib/util/MLUtils.scala
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@@ -248,6 +248,19 @@ object MLUtils extends Logging {
}.toArray
}
+ /**
+ * Version of `kFold()` taking a fold column name.
+ */
+ @Since("3.1.0")
+ def kFold(df: DataFrame, numFolds: Int, foldColName: String):
Array[(RDD[Row], RDD[Row])] = {
+ val foldCol = df.col(foldColName)
+ val dfWithMod = df.withColumn(foldColName, pmod(foldCol, lit(numFolds)))
+ (0 until numFolds).map { fold =>
+ (dfWithMod.filter(col(foldColName) =!= fold).drop(foldColName).rdd,
+ dfWithMod.filter(col(foldColName) === fold).drop(foldColName).rdd)
Review comment:
I have a question here:
If foldCol doesn't contain a certain specific fold num, the validation
dataset for that iteration will be empty. For example, if numFolds is 3 and
foldCol only contains 0 and 2, the validation dataset is empty for fold 1.
Should we check for empty splits and remove them?
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