ML models only become useful when you integrate them seamlessly into your Java applications. This chapter covers the following objectives:
Manage ML models.
Perform sensitivity analysis to make the best tradeoff between model accuracy and model size.
Review the key aspects of the Weka Java API. The API allows you to open pretrained models and make predictions within Java.
Use an Eclipse project to create a Weka API library you can use for both Java and Android applications.
Present an overview of integration techniques for pretrained ML models with Android and the Raspberry Pi.
Review Java code ...
