There are two ways to incorporate a classifier into a mobile application. The first one involves exporting a model in the Weka format, using the Weka library as a dependency in our mobile application, loading the model, and so on. The procedure is identical to the example we saw in Chapter 3, Basic Algorithms–Classification, Regression, and Clustering. The second approach is more lightweight: we export the model as source code, for example, we create a class implementing the decision tree classifier. Then, we can simply copy and paste the source code into our mobile app, without even importing any Weka dependencies.
Fortunately, some Weka models can be easily exported to source code by the toSource(String) ...
