Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/10244#discussion_r47393774
--- Diff:
examples/src/main/scala/org/apache/spark/examples/ml/KMeansExample.scala ---
@@ -50,6 +51,7 @@ object KMeansExample {
val sc = new SparkContext(conf)
val sqlContext = new SQLContext(sc)
+ // $example on$
// Loads data
val rowRDD = sc.textFile(input).filter(_.nonEmpty)
.map(_.split(" ").map(_.toDouble)).map(Vectors.dense).map(Row(_))
--- End diff --
As long as this file is being changed, let's simplify the example a little:
Rather than mapping to Row and creating a schema explicitly, how about
following what is done here:
[https://github.com/apache/spark/blob/c119a34d1e9e599e302acfda92e5de681086a19f/examples/src/main/scala/org/apache/spark/examples/ml/BinarizerExample.scala].
The "label" could be replaced by an "id"
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