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Forecasting Time Series Data with Facebook Prophet

You're reading from  Forecasting Time Series Data with Facebook Prophet

Product type Book
Published in Mar 2021
Publisher Packt
ISBN-13 9781800568532
Pages 270 pages
Edition 1st Edition
Languages
Author (1):
Greg Rafferty Greg Rafferty
Profile icon Greg Rafferty

Table of Contents (18) Chapters

Preface 1. Section 1: Getting Started
2. Chapter 1: The History and Development of Time Series Forecasting 3. Chapter 2: Getting Started with Facebook Prophet 4. Section 2: Seasonality, Tuning, and Advanced Features
5. Chapter 3: Non-Daily Data 6. Chapter 4: Seasonality 7. Chapter 5: Holidays 8. Chapter 6: Growth Modes 9. Chapter 7: Trend Changepoints 10. Chapter 8: Additional Regressors 11. Chapter 9: Outliers and Special Events 12. Chapter 10: Uncertainty Intervals 13. Section 3: Diagnostics and Evaluation
14. Chapter 11: Cross-Validation 15. Chapter 12: Performance Metrics 16. Chapter 13: Productionalizing Prophet 17. Other Books You May Enjoy

Summary

In this chapter, you learned a generalized method to add any additional regressors beyond the holidays, which you learned how to add earlier. You learned that adding both binary regressors, such as weather conditions, and continuous regressors, such as temperature, use the same add_regressor method. You also learned how to use the regressor_coefficients function in Prophet's utilities package to inspect the effects of your additional regressors.

Although you may now want to add all sorts of extra regressors to your forecasts, you also learned that Prophet requires all additional regressors to have defined values going into the future or else there's no information to inform a forecast. This is why we only forecasted 2 weeks out when using weather data.

In the next chapter, we are going to look at how Prophet handles outliers and how you can exert greater control over the process yourself.

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