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Practical Guide to Applied Conformal Prediction in Python

You're reading from   Practical Guide to Applied Conformal Prediction in Python Learn and apply the best uncertainty frameworks to your industry applications

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Product type Paperback
Published in Dec 2023
Publisher Packt
ISBN-13 9781805122760
Length 240 pages
Edition 1st Edition
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Author (1):
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Valery Manokhin Valery Manokhin
Author Profile Icon Valery Manokhin
Valery Manokhin
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Table of Contents (19) Chapters Close

Preface 1. Part 1: Introduction FREE CHAPTER
2. Chapter 1: Introducing Conformal Prediction 3. Chapter 2: Overview of Conformal Prediction 4. Part 2: Conformal Prediction Framework
5. Chapter 3: Fundamentals of Conformal Prediction 6. Chapter 4: Validity and Efficiency of Conformal Prediction 7. Chapter 5: Types of Conformal Predictors 8. Part 3: Applications of Conformal Prediction
9. Chapter 6: Conformal Prediction for Classification 10. Chapter 7: Conformal Prediction for Regression 11. Chapter 8: Conformal Prediction for Time Series and Forecasting 12. Chapter 9: Conformal Prediction for Computer Vision 13. Chapter 10: Conformal Prediction for Natural Language Processing 14. Part 4: Advanced Topics
15. Chapter 11: Handling Imbalanced Data 16. Chapter 12: Multi-Class Conformal Prediction 17. Index 18. Other Books You May Enjoy

Summary

In this book’s final chapter, we explored the intriguing domain of multi-class conformal prediction. We began by understanding the concept of multi-class classification, a prevalent scenario in ML where an instance can belong to one of many classes. This understanding is crucial for effectively applying conformal prediction techniques.

We then delved into the metrics used for evaluating multi-class classification problems. These metrics quantitatively measure our model’s performance and are vital for effective model evaluation and selection.

Finally, we learned how to apply conformal prediction to multi-class classification problems. This section provided practical insights and techniques to apply to your industrial applications directly.

By the end of this chapter, you should have gained valuable skills and knowledge in multi-class classification and how conformal prediction can be effectively applied to these problems. This knowledge will prove invaluable...

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