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From srowen <>
Subject [GitHub] spark pull request #15428: [SPARK-17219][ML] enchanced NaN value handling in...
Date Tue, 11 Oct 2016 08:06:40 GMT
Github user srowen commented on a diff in the pull request:
    --- Diff: mllib/src/main/scala/org/apache/spark/ml/feature/Bucketizer.scala ---
    @@ -128,8 +145,9 @@ object Bucketizer extends DefaultParamsReadable[Bucketizer] {
        * Binary searching in several buckets to place each data point.
        * @throws SparkException if a feature is < splits.head or > splits.last
    -  private[feature] def binarySearchForBuckets(splits: Array[Double], feature: Double):
Double = {
    -    if (feature.isNaN) {
    +  private[feature] def binarySearchForBuckets
    +  (splits: Array[Double], feature: Double, flag: String): Double = {
    --- End diff --
    Nit: I think the convention is to leave the open paren on the previous line
    Doesn't this need to handle "skip" and "error"? throw an exception on NaN if "error" or
ignore it if "skip"?

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