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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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Nisheeth Joshi Nisheeth Joshi
Author Profile Icon Nisheeth Joshi
Nisheeth Joshi
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Table of Contents (9) Chapters Close

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 8. Other Books You May Enjoy

Reading and writing datasets

We will now look at how to read and write a dataset. Let's get to our Java code. Create a project and name it Datasets. Now, import the weka.jar file, as performed in the previous section. Once we have the weka.jar file available, we can read the core, Instance interfaces, ArffSaver, DataSource, and io.File packages, as shown in the following screenshot:

We will start with DataSource. DataSource is a class that helps us to open a dataset file that is available in Weka. By default, Weka works with ARFF files; see the following code:

DataSource src = new DataSource("/Users/admin/wekafiles/data/weather.numeric.arff");
Instances dt= src.getDataSet();
System.out.println(dt.toSummaryString());
ArffSaver as = new ArffSaver();

As we can see in the preceding code, we created an object for DataSource and provided a path to the ARFF file that...

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