CalibrationAnalysis
Multi-language suite for analyzing calibration of probabilistic predictive models.
Science Score: 31.0%
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○Scientific vocabulary similarity
Low similarity (12.3%) to scientific vocabulary
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Repository
Multi-language suite for analyzing calibration of probabilistic predictive models.
Basic Info
- Host: GitHub
- Owner: devmotion
- License: mit
- Language: Julia
- Default Branch: main
- Homepage: https://devmotion.github.io/CalibrationAnalysis.jl/dev
- Size: 9.47 MB
Statistics
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 4
- Releases: 2
Topics
Metadata Files
README.md
CalibrationAnalysis.jl
Analysis of calibration of probabilistic predictive models.
This is a suite for analyzing calibration of probabilistic predictive models written in Julia.
It is available for use in Julia, Python, and R.
The package supports: - plotting reliability diagrams - estimating calibration errors - performing calibration tests
Talk at JuliaCon 2021
The slides of the talk are available as Pluto notebook.
Citing
If you use CalibrationAnalysis.jl as part of your research, teaching, or other activities, please consider citing the following publications:
Widmann, D., Lindsten, F., & Zachariah, D. (2019). Calibration tests in multi-class classification: A unifying framework. In Advances in Neural Information Processing Systems 32 (NeurIPS 2019) (pp. 12257–12267).
Widmann, D., Lindsten, F., & Zachariah, D. (2021). Calibration tests beyond classification. International Conference on Learning Representations (ICLR 2021).
Acknowledgements
This work was financially supported by the Swedish Research Council via the projects Learning of Large-Scale Probabilistic Dynamical Models (contract number: 2016-04278), Counterfactual Prediction Methods for Heterogeneous Populations (contract number: 2018-05040), and Handling Uncertainty in Machine Learning Systems (contract number: 2020-04122), by the Swedish Foundation for Strategic Research via the project Probabilistic Modeling and Inference for Machine Learning (contract number: ICA16-0015), by the Wallenberg AI, Autonomous Systems and Software Program (WASP) funded by the Knut and Alice Wallenberg Foundation, and by ELLIIT.
Owner
- Name: David Widmann
- Login: devmotion
- Kind: user
- Location: Uppsala, Sweden
- Company: Uppsala University
- Website: widmann.dev
- Repositories: 16
- Profile: https://github.com/devmotion
Citation (CITATION.bib)
@incollection{CalibrationAnalysis.jl-2019,
title = {Calibration tests in multi-class classification: A unifying framework},
author = {Widmann, David and Lindsten, Fredrik and Zachariah, Dave},
booktitle = {Advances in Neural Information Processing Systems 32},
pages = {12236--12246},
year = {2019},
url = {http://papers.nips.cc/paper/9392-calibration-tests-in-multi-class-classification-a-unifying-framework}
}
@inproceedings{CalibrationAnalysis.jl-2021,
title={Calibration tests beyond classification},
author={Widmann, David and Lindsten, Fredrik and Zachariah, Dave},
booktitle={International Conference on Learning Representations},
year={2021},
url={https://openreview.net/forum?id=-bxf89v3Nx}
}
GitHub Events
Total
Last Year
Committers
Last synced: about 1 year ago
Top Committers
| Name | Commits | |
|---|---|---|
| David Widmann | d****n@i****e | 15 |
| dependabot[bot] | 4****] | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 8 months ago
All Time
- Total issues: 1
- Total pull requests: 9
- Average time to close issues: less than a minute
- Average time to close pull requests: about 12 hours
- Total issue authors: 1
- Total pull request authors: 3
- Average comments per issue: 2.0
- Average comments per pull request: 0.0
- Merged pull requests: 5
- Bot issues: 0
- Bot pull requests: 5
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- JuliaTagBot (1)
Pull Request Authors
- dependabot[bot] (5)
- devmotion (3)
- github-actions[bot] (2)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
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Total downloads:
- julia 1 total
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 2
juliahub.com: CalibrationAnalysis
Multi-language suite for analyzing calibration of probabilistic predictive models.
- Homepage: https://devmotion.github.io/CalibrationAnalysis.jl/dev
- Documentation: https://docs.juliahub.com/General/CalibrationAnalysis/stable/
- License: MIT
-
Latest release: 0.1.1
published about 4 years ago
Rankings
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