You're reading from Machine Learning with the Elastic Stack Gain valuable insights from your data with Elastic Stack's machine learning features

Product type Paperback

Published in May 2021

Publisher Packt

ISBN-13 9781801070034

Length 450 pages

Edition 2nd Edition

Languages

Python

Tools

Elasticsearch

Concepts

Machine Learning

Authors (3):

Camilla Montonen

Rich Collier

Bahaaldine Azarmi

View More author details

Table of Contents (19) Chapters

Preface

1. Section 1 – Getting Started with Machine Learning with Elastic Stack

2. Chapter 1: Machine Learning for IT FREE CHAPTER

3. Chapter 2: Enabling and Operationalization

4. Section 2 – Time Series Analysis – Anomaly Detection and Forecasting

5. Chapter 3: Anomaly Detection

6. Chapter 4: Forecasting

7. Chapter 5: Interpreting Results

8. Chapter 6: Alerting on ML Analysis

9. Chapter 7: AIOps and Root Cause Analysis

10. Chapter 8: Anomaly Detection in Other Elastic Stack Apps

11. Section 3 – Data Frame Analysis

12. Chapter 9: Introducing Data Frame Analytics

13. Chapter 10: Outlier Detection

14. Chapter 11: Classification Analysis

15. Chapter 12: Regression

16. Chapter 13: Inference

17. Other Books You May Enjoy

Appendix: Anomaly Detection Tips

Forecast results

As explained in depth in Chapter 4, Forecasting, we can get Elastic ML to extrapolate into the future the trends of the data that has been analyzed. Recall what we showed in Figure 4.21:

Figure 5.26 – Forecast results first shown in Chapter 4

Remember that the prediction value is the value with the highest likelihood (probability), and that the shaded area is the range of the 95th percentile of confidence. These three key values are stored in the .ml-anomalies-* results indices with the following names:

forecast_prediction
forecast_upper
forecast_lower

Querying for forecast results

When querying for the forecast results in the .ml-anomalies-* results indices, it is important to remember that forecast results are transient – they have a default lifespan of 14 days following creation, especially if they are created from the UI in Kibana. If a different expiration duration is desired, then the forecast will...