Apache Spark 2.x Machine Learning Cookbook

How to do it...

1. Go to the UCI Machine Learning Repository and download the http://archive.ics.uci.edu/ml/machine-learning-databases/wine/wine.data file.

2. Start a new project in IntelliJ or in an IDE of your choice. Make sure that the necessary JAR files are included.

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

package spark.ml.cookbook.chapter4

4. 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.sql.SparkSessionimport org.apache.spark.ml.linalg.{Vector, Vectors}import org.apache.spark.ml.feature.MinMaxScaler

5. Define a method to parse wine data into a tuple:

def parseWine(str: String): (Int, Vector) ...