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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

Index

As this ebook edition doesn't have fixed pagination, the page numbers below are hyperlinked for reference only, based on the printed edition of this book.

Symbols

2012 ImageNet competition 152

A

absolute error 35

Adaptive Prediction Sets (APS) 162-164

calibration phase 163

prediction phase 164

quantile threshold, determining 163

adaptive synthetic sampling (ADASYN) 184

aleatoric uncertainty 16, 92, 150

examples 16

AlexNet revolutionary 152

algorithms, for multi-class classification

decision trees 194

Naive Bayes 194

neural networks (NNs) 194

Area Under the Receiver Operating Characteristic Curve (AUC-ROC) 196

AvgC 32

B

Bayesian approaches 129

Bayesian methods 96, 98

Bayesian Neural Networks (BNNs) 156, 173

Bayesian PI construction techniques

Bayesian forecasting models 129

Monte Carlo Markov Chain (MCMC) sampling 129

Bidirectional Encoder Representations from Transformers (BERT...

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