Summary
You have now successfully trained all three types of AutoML models – classification, regression, and forecasting. Not only can you train a simple forecasting model, but you also know how to improve models with the various forecasting parameters and how to build high-performing baseline models with ARIMA and Prophet.
Moreover, you've acquired a lot of knowledge regarding how forecasting differs from other problems and how to avoid common pitfalls. By utilizing the forecast horizon feature wisely, you can forecast days, months or years into the future, and now it's time to add a powerful tool to your repertoire.
In Chapter 7, Using the Many Models Solution Accelerator, you will be able to build individual models for each time series grain. Instead of building one forecasting model, you can build thousands of models all at the same time and score them as if they were one model. You will find that this approach can vastly enhance your model's performance...
