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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. Use package instruction to provide the right path
package spark.ml.cookbook.chapter3
  1. Import the necessary packages for Spark context 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.{Dataset, SparkSession}import spark.ml.cookbook.{Car, mydatasetdata}import scala.collection.mutableimport scala.collection.mutable.ListBufferimport org.apache.log4j.{Level, Logger}import org.apache.spark.sql.SparkSession
  1. Define a Scala case to contain our data for processing, and our car class will represent electric and ...

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