Github user MLnick commented on a diff in the pull request: https://github.com/apache/spark/pull/13301#discussion_r64717582 --- Diff: examples/src/main/scala/org/apache/spark/examples/mllib/NaiveBayesExample.scala --- @@ -31,16 +30,11 @@ object NaiveBayesExample { val conf = new SparkConf().setAppName("NaiveBayesExample") val sc = new SparkContext(conf) // $example on$ - val data = sc.textFile("data/mllib/sample_naive_bayes_data.txt") - val parsedData = data.map { line => - val parts = line.split(',') - LabeledPoint(parts(0).toDouble, Vectors.dense(parts(1).split(' ').map(_.toDouble))) - } + // Load and parse the data file. + val data = MLUtils.loadLibSVMFile(sc, "data/mllib/sample_libsvm_data.txt") // Split data into training (60%) and test (40%). - val splits = parsedData.randomSplit(Array(0.6, 0.4), seed = 11L) - val training = splits(0) - val test = splits(1) + val Array(training, test) = data.randomSplit(Array(0.6, 0.4)) --- End diff -- I see you removed the `seed` here, which is not necessary but probably makes sense to simplify. In which case, perhaps remove the `seed` arg from the Java & Python examples.
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