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Apache Spark 2.x Machine Learning Cookbook by Shuen Mei, Broderick Hall, Meenakshi Rajendran, Siamak Amirghodsi

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How to do it...

  1. Start a new project in IntelliJ or in an IDE of your choice. Make sure the necessary JAR files are included.
  1. Set up the package location where the program will reside:
package spark.ml.cookbook.chapter3
  1. Import the necessary packages for Spark session to get access to the cluster and Log4j.Logger to reduce the amount of output produced by Spark.
import org.apache.log4j.{Level, Logger}import org.apache.spark.sql.SparkSession
  1. Define a Scala case class to model data for processing.

 

case class Car(make: String, model: String, price: Double,style: String, kind: String)
  1. Let's create a Scala sequence and populate it with electric and hybrid cars.

 

val carData =Seq(Car("Tesla", "Model S", 71000.0, "sedan","electric"), ...

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