How to do it...

  1. Start a new project in IntelliJ or in an IDE of your choice. Make sure that the necessary JAR files are included.
  1. Set up the package location where the program will reside:
package spark.ml.cookbook.chapter13
  1. Import the necessary packages:
import org.apache.spark.mllib.linalg.Vectorsimport org.apache.spark.mllib.regression.LabeledPointimport org.apache.spark.rdd.RDDimport org.apache.spark.SparkContextimport scala.collection.mutable.Queue
  1. We begin by defining a function to load iris data into memory, filtering out blank lines, attaching an identifier to each element, and finally returning tuple of type string and long:

 

def readFromFile(sc: SparkContext) = { sc.textFile("../data/sparkml2/chapter13/iris.data") .filter(s ...

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