Open source tools for conformal prediction in classification problems
While deep-diving into the intricacies of conformal prediction for classification, it has become evident that the right tools can significantly enhance our implementation efficiency. Recognizing this, the open source community has made remarkable contributions by providing various tools tailored for this purpose. In this section, we will explore some of the prominent open source tools for conformal prediction that can seamlessly integrate into your projects and elevate your predictive capabilities.
Nonconformist
nonconformist
(https://github.com/donlnz/nonconformist) is a classical conformal prediction package that can be used for conformal prediction in classification problems.
Let’s illustrate how to create an ICP using nonconformist
. You can find the Jupyter notebook containing the relevant code at https://github.com/PacktPublishing/Practical-Guide-to-Applied-Conformal-Prediction/blob/main/Chapter_06...