Apache Spark 2.x Machine Learning Cookbook

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.

2. Set up the package location where the program will reside:

package spark.ml.cookbook.chapter4

3. 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.spark.mllib.linalg.Vectorsimport org.apache.spark.mllib.stat.Statisticsimport org.apache.spark.sql.SparkSessionimport org.apache.log4j.Loggerimport org.apache.log4j.Level

4. Set the output level to ERROR to reduce Spark's logging output:

Logger.getLogger("org").setLevel(Level.ERROR)Logger.getLogger("akka").setLevel(Level.ERROR)

5. Initialize a Spark session ...