Machine Learning With Go

Docker-izing a machine learning application

The machine learning workflow that we will be deploying and scaling in this chapter will be the linear regression workflow to predict diabetes disease progression that we developed in Chapter 4, Regression. In our deployment, we will consider three different pieces of the workflow:

• The training and exporting of a single regression model (modeling disease progression with body mass index)
• The training and exporting of a multiple regression model (modeling disease progression with body mass index and the blood measurement LTG)
• An inference of disease progression based on one of the trained models and input attributes

Later in the chapter, it will become clear why we might want to split the workflow ...