Question

我正在尝试使用spark MLlib - kmeans来聚类产品数据集。但我的第一列，即ID以Y400sX902开头，当我运行以下代码时，它会抛出一个错误，如NumberFormatException。我是这项技术的新手，如果有任何指示可以帮助那么它会很棒。谢谢。

object KMeansExmp {

def main(args: Array[String]) {

val conf = new SparkConf().setMaster("local[1]").setAppName("KmeansApp");  
val sc = new SparkContext(conf);

val rawData = sc.textFile("/Users/Downloads/data.csv")
val header = rawData.first

val rows = rawData.filter(l => l != header)

val extractedFeatureVector = rows.map { row => Vectors.dense(row.split(',').map(_.toDouble).slice(2, 5)) }


val numberOfClusters = 3
val numberOfInterations = 50

val model = KMeans.train(extractedFeatureVector, numberOfClusters, numberOfInterations)

model.clusterCenters.foreach(println)

}

错误：

   java.lang.NumberFormatException: For input string: ""Y400sX902""
   at         sun.misc.FloatingDecimal.readJavaFormatString(FloatingDecimal.java:1250)
    at java.lang.Double.parseDouble(Double.java:540)
    at    scala.collection.immutable.StringLike$class.toDouble(StringLike.scala:232)
    at scala.collection.immutable.StringOps.toDouble(StringOps.scala:31)
    at KMeansExmp$$anonfun$2$$anonfun$apply$1.apply(KMeansExmp.scala:22)
    at KMeansExmp$$anonfun$2$$anonfun$apply$1.apply(KMeansExmp.scala:22)
    at ........

Answer 1

尝试

val rows = rawData.drop(1)

而不是过滤整个RDD以删除第一行（即非数字标题）。

java.lang.NumberFormatException：对于输入字符串：Y400sX902：使用Spark Kmeans时

1 个答案: