Hands-On Artificial Intelligence with Java for Beginners

Creating a classifier for semi-supervised models

Let's start with the following code:

import weka.core.Instances;import weka.core.converters.ConverterUtils.DataSource;import weka.classifiers.collective.functions.LLGC;

The very first things that we need are the Instances and DataSource classes, which we have been using since the beginning. The third class that we need is an LLGC class, which is available in the functions package of the collective-classification JAR file.

Therefore, we need to import two JAR files into the project; one is the conventional weka.jar file that we have already been using, and the second one is the semi-supervised learning file, the collective-classification-<date>.jar file, as seen in the following screenshot: ...