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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

This last chapter in the book was the most optional of all of them, but for those of you who often work in a production environment, these tools will be invaluable.

In this chapter, you learned how to save a model to your hard drive using JSON serialization, so you can share it or open it up later without requiring the model to be retrained. You also learned how to update a model that has already been fitted, another procedure designed to save you time. Finally, you examined a new plot format, an impressive tool to make your plots interactive in a browser, and hopefully, you saw the potential of packaging this information into a dashboard.

Together, what you learned in this chapter will help you to update your model as time progresses and new data comes in, and share that model via live, web-based interactive dashboards.

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