Registering your trained forecasting model

The code to register forecasting models is identical to the code you used in Chapter 4, Building an AutoML Regression Solution, in order to register your regression model, and in Chapter 5, Building an AutoML Classification Solution, in order to register your classification models. Always register new models, as you will use them in either real-time scoring endpoints or batch execution inference pipelines depending on your business scenario. Likewise, always add tags and descriptions for easier tracking:

1. First, give your model a name, a description, and some tags. Tags let you easily search for models, so think carefully as you implement them:

   description = 'Best AutoML Forecasting Run using OJ Sales Sample Data.' 
   tags = {'project' : "OJ Sales", "creator" : "your name"} 
   model_name = 'OJ-Sales-Sample-Forecasting-AutoML' 

2. Next, register your model to your AMLS workspace...