Applications of Conformal Regression on Real-world Industrial Use Cases using Crepes and MAPIE

Nasir Uddin, Tuwe Lofstrom
Proceedings of the Twelfth Symposium on Conformal and Probabilistic Prediction with Applications, PMLR 204:147-165, 2023.

Abstract

Applying conformal prediction in real-world industrial use cases is rare, and publications are often limited to popular open-source data sets. This paper demonstrates two experimental use cases where the conformal prediction framework was applied to regression problems at Husqvarna Group with the two Python-based open-source platforms MAPIE and Crepes. The paper concludes by discussing lessons learned for the industry and some challenges for the conformal prediction community to address.

Cite this Paper

BibTeX
@InProceedings{pmlr-v204-uddin23a, title = {Applications of Conformal Regression on Real-world Industrial Use Cases using Crepes and MAPIE}, author = {Uddin, Nasir and Lofstrom, Tuwe}, booktitle = {Proceedings of the Twelfth Symposium on Conformal and Probabilistic Prediction with Applications}, pages = {147--165}, year = {2023}, editor = {Papadopoulos, Harris and Nguyen, Khuong An and Boström, Henrik and Carlsson, Lars}, volume = {204}, series = {Proceedings of Machine Learning Research}, month = {13--15 Sep}, publisher = {PMLR}, pdf = {https://proceedings.mlr.press/v204/uddin23a/uddin23a.pdf}, url = {https://proceedings.mlr.press/v204/uddin23a.html}, abstract = {Applying conformal prediction in real-world industrial use cases is rare, and publications are often limited to popular open-source data sets. This paper demonstrates two experimental use cases where the conformal prediction framework was applied to regression problems at Husqvarna Group with the two Python-based open-source platforms MAPIE and Crepes. The paper concludes by discussing lessons learned for the industry and some challenges for the conformal prediction community to address.} }
Endnote
%0 Conference Paper %T Applications of Conformal Regression on Real-world Industrial Use Cases using Crepes and MAPIE %A Nasir Uddin %A Tuwe Lofstrom %B Proceedings of the Twelfth Symposium on Conformal and Probabilistic Prediction with Applications %C Proceedings of Machine Learning Research %D 2023 %E Harris Papadopoulos %E Khuong An Nguyen %E Henrik Boström %E Lars Carlsson %F pmlr-v204-uddin23a %I PMLR %P 147--165 %U https://proceedings.mlr.press/v204/uddin23a.html %V 204 %X Applying conformal prediction in real-world industrial use cases is rare, and publications are often limited to popular open-source data sets. This paper demonstrates two experimental use cases where the conformal prediction framework was applied to regression problems at Husqvarna Group with the two Python-based open-source platforms MAPIE and Crepes. The paper concludes by discussing lessons learned for the industry and some challenges for the conformal prediction community to address.
APA
Uddin, N. & Lofstrom, T.. (2023). Applications of Conformal Regression on Real-world Industrial Use Cases using Crepes and MAPIE. Proceedings of the Twelfth Symposium on Conformal and Probabilistic Prediction with Applications, in Proceedings of Machine Learning Research 204:147-165 Available from https://proceedings.mlr.press/v204/uddin23a.html.

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