Chapter 4: Forecasting
Forecasting is a natural extension of the time series modeling of Elastic ML. Since very expressive models are built behind the scenes and describe how data has behaved historically, it is therefore possible to project that information forward in time and predict how something should behave at a future time.
We will spend time learning the concepts behind forecasting, as well as stepping through some practical examples.
Specifically, this chapter will cover the following topics:
- Contrasting forecasting with prophesying
- Forecasting use cases
- Forecasting theory of operation
- Single time series forecasting
- Looking at forecasting results
- Multiple time series forecasting
Technical requirements
The information and examples ...
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