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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 will use a JSON data file named cars.json which has been created for this example:
{"make": "Telsa", "model": "Model S", "price": 71000.00, "style": "sedan", "kind": "electric"}{"make": "Audi", "model": "A3 E-Tron", "price": 37900.00, "style": "luxury", "kind": "hybrid"}{"make": "BMW", "model": "330e", "price": 43700.00, "style": "sedan", "kind": "hybrid"}
  1. Set up the package location where the program will reside
package spark.ml.cookbook.chapter3
  1. Import the necessary packages for the Spark session to gain access to the cluster and Log4j.Logger to reduce the amount of output produced by Spark.
import org.apache.log4j.{Level, ...

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