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

Product type Paperback

Published in Dec 2023

Publisher Packt

ISBN-13 9781805122760

Length 240 pages

Edition 1st Edition

Languages

Python

Tools

Boost

Concepts

Machine Learning

Author (1):

Valery Manokhin

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Table of Contents (19) Chapters

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

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You will need a working Python environment on your computer. We recommend using Python 3.6 or later.

Ensure that you have essential libraries, such as scikit-learn, NumPy, and Matplotlib, installed. If not, you can easily install them using Conda or pip.

The notebooks can be run both locally or by using Google Colab (https://colab.research.google.com).

Software/hardware covered in the book	Operating system requirements
Python	Windows, macOS, or Linux
Colab (to run notebooks in Google Cloud)	Windows, macOS, or Linux
MAPIE	Windows, macOS, or Linux
Amazon Fortuna	Windows, macOS, or Linux
NIxtla statsforecast	Windows, macOS, or Linux
NeuralProphet	Windows, macOS, or Linux

If you are using the digital version of this book, we advise you to access the code from the book’s GitHub repository (a link is available in the next section). Doing so will help you avoid any potential errors related to the copying and pasting of code.

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Table of Contents (19) Chapters

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