Github user mgaido91 commented on a diff in the pull request: https://github.com/apache/spark/pull/21509#discussion_r194058303 --- Diff: mllib/src/main/scala/org/apache/spark/ml/clustering/PowerIterationClustering.scala --- @@ -166,6 +166,7 @@ class PowerIterationClustering private[clustering] ( val w = if (!isDefined(weightCol) || $(weightCol).isEmpty) { lit(1.0) } else { + SchemaUtils.checkColumnTypes(dataset.schema, $(weightCol), Seq(FloatType, DoubleType)) --- End diff -- shall we check if it is a `NumericType`? An integer column with value 1 is a valid input as well and if someone is using it, this may introduce a regression.
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