Flower species classification using multi-Layer perceptrons

This is a simple hello world-style program for performing classification using multi-layer perceptrons. For this, we will be using the famous Iris dataset, which can be downloaded from the UCI Machine Learning Repository at https://archive.ics.uci.edu/ml/datasets/Iris. This dataset has four types of datapoints, shown as follows:

Attribute name	Attribute description
Petal Length	Petal length in cm
Petal Width	Petal width in cm
Sepal Length	Sepal length in cm
Sepal Width	Sepal width in cm
Class	The type of iris flower that is Iris Setosa, Iris Versicolour, Iris Virginica

This is a simple dataset with three types of Iris classes, as mentioned in the table.

From the perspective of our neural network of perceptrons, we will be using the multi-perceptron algorithm bundled inside the spark ml library and will demonstrate how you can club it with the Spark-provided pipeline API for the easy manipulation of the machine...