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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.

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

package spark.ml.cookbook.chapter8.
  1. Import the necessary packages for vector and matrix manipulation:
 import org.apache.log4j.{Level, Logger} import org.apache.spark.mllib.clustering.GaussianMixture import org.apache.spark.mllib.linalg.Vectors import org.apache.spark.sql.SparkSession
  1. Create Spark's session object:

val spark = SparkSession .builder.master("local[*]") .appName("myGaussianMixture") .config("spark.sql.warehouse.dir", ".") .getOrCreate()
  1. Let us take a look at the dataset and examine the input file. The Simulated SOCR Knee Pain Centroid ...

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