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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. We define the package information for the Scala program:
package spark.ml.cookbook.chapter7
  1. Import the necessary packages:
import org.apache.log4j.{Level, Logger} import org.apache.spark.sql.SparkSession import org.apache.spark.ml.recommendation.ALS
  1. We now define two Scala case classes, to model movie and ratings data:
case class Movie(movieId: Int, title: String, year: Int, genre: Seq[String]) case class FullRating(userId: Int, movieId: Int, rating: Float, timestamp: Long)
  1. In this step, we define functions for parsing a single line of data from the ratings.dat file into the ratings case class, and for parsing ...

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