Practical Java Machine Learning: Projects with Google Cloud Platform and Amazon Web Services

© Mark Wickham 2018

Mark WickhamPractical Java Machine Learninghttps://doi.org/10.1007/978-1-4842-3951-3_6

6. Integrating Models

Mark Wickham¹ 

(1)

Irving, TX, USA

 

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 ...