Calzone: A Python package for measuring calibration of probabilistic models for classification

Python Submitted 11 December 2024 • Published 24 October 2025
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Authors

Kwok Lung Fan (0000-0002-8246-4751), Gene Pennello (0000-0002-9779-1165), Qi Liu (0000-0002-4053-4213), Nicholas Petrick (0000-0001-5167-8899), Ravi K. Samala (0000-0002-6661-4801), Frank W. Samuelson (0000-0002-1130-0303), Yee Lam Elim Thompson (0000-0001-9653-7707), Qian Cao (0000-0002-3900-0433)

Citation

Fan et al., (2025). Calzone: A Python package for measuring calibration of probabilistic models for classification. Journal of Open Source Software, 10(114), 8026, https://doi.org/10.21105/joss.08026

@article{Fan2025, doi = {10.21105/joss.08026}, url = {https://doi.org/10.21105/joss.08026}, year = {2025}, publisher = {The Open Journal}, volume = {10}, number = {114}, pages = {8026}, author = {Fan, Kwok Lung and Pennello, Gene and Liu, Qi and Petrick, Nicholas and Samala, Ravi K. and Samuelson, Frank W. and Thompson, Yee Lam Elim and Cao, Qian}, title = {Calzone: A Python package for measuring calibration of probabilistic models for classification}, journal = {Journal of Open Source Software} }
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Machine Learning Artificial Intelligence Calibration Probabilistic models Metric Evaluation

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Journal of Open Source Software is part of Open Journals, which is a NumFOCUS-sponsored project.

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ISSN 2475-9066