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Hands-On Artificial Intelligence with Java for Beginners

You're reading from   Hands-On Artificial Intelligence with Java for Beginners Build intelligent apps using machine learning and deep learning with Deeplearning4j

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Product type Paperback
Published in Aug 2018
Publisher Packt
ISBN-13 9781789537550
Length 144 pages
Edition 1st Edition
Languages
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Author (1):
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 Joshi Joshi
Author Profile Icon Joshi
Joshi
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Table of Contents (14) Chapters Close

Title Page
Copyright and Credits
Packt Upsell
Contributors
Preface
1. Introduction to Artificial Intelligence and Java FREE CHAPTER 2. Exploring Search Algorithms 3. AI Games and the Rule-Based System 4. Interfacing with Weka 5. Handling Attributes 6. Supervised Learning 7. Semi-Supervised and Unsupervised Learning 1. Other Books You May Enjoy Index

Converting datasets


In this section, we will look at how to convert a dataset. We will learn how to convert a CSV file to an ARFF file, and vice versa.

 

Converting an ARFF file to a CSV file

First, let's look at the code. Suppose that we have a weather.arff file. We will first import the following packages:

import weka.core.Instances;
import weka.core.converters.ArffLoader;
import weka.core.converters.CSVSaver;
import java.io.File;

We have started with the ArffLoader class, and have created an object, loader, for it:

ArffLoader loader = new ArffLoader();

We have then assigned a filename, weather.arff, to the ArffLoader class, as seen in the following code:

loader.setSource(new File("weather.arff")); //Use the path where your file is saved.

We have also called the loader.setSource method and assigned a filename to it by using our File object. Once this is done, we will load this particular dataset into the memory in our Instances object, data, as follows:

Instances data = loader.getDataSet();

Now,...

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