In this recipe, we demonstrate normalizing (scaling) the data prior to importing the data into an ML algorithm. There are a good number of ML algorithms such as Support Vector Machine (SVM) that work better with scaled input vectors rather than with the raw values.
Normalizing data with Spark
How to do it...
- Go to the UCI Machine Learning Repository and download the http://archive.ics.uci.edu/ml/machine-learning-databases/wine/wine.data file.
- Start a new project in IntelliJ or in an IDE of your choice. Make sure that the necessary JAR files are included.
- Set up the package location where the program will reside:
package spark.ml.cookbook.chapter4
- Import the necessary packages for the Spark session to gain...
