{"id":15879179,"url":"https://github.com/iamdecode/cvplot","last_synced_at":"2025-07-27T06:39:34.023Z","repository":{"id":62566097,"uuid":"325821551","full_name":"iamDecode/cvplot","owner":"iamDecode","description":"Understand machine learning models with Contribution-Value plots","archived":false,"fork":false,"pushed_at":"2021-12-01T22:49:53.000Z","size":401,"stargazers_count":6,"open_issues_count":1,"forks_count":2,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-03-16T01:23:01.618Z","etag":null,"topics":["interpretability","learning","machine"],"latest_commit_sha":null,"homepage":"https://explaining.ml/cvplots","language":"Vue","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"bsd-2-clause","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/iamDecode.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":"CITATION.cff","codeowners":null,"security":null,"support":null}},"created_at":"2020-12-31T15:00:00.000Z","updated_at":"2024-11-06T14:45:24.000Z","dependencies_parsed_at":"2022-11-03T16:15:56.612Z","dependency_job_id":null,"html_url":"https://github.com/iamDecode/cvplot","commit_stats":null,"previous_names":[],"tags_count":1,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/iamDecode%2Fcvplot","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/iamDecode%2Fcvplot/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/iamDecode%2Fcvplot/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/iamDecode%2Fcvplot/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/iamDecode","download_url":"https://codeload.github.com/iamDecode/cvplot/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243852431,"owners_count":20358268,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["interpretability","learning","machine"],"created_at":"2024-10-06T03:01:13.080Z","updated_at":"2025-03-16T09:33:37.972Z","avatar_url":"https://github.com/iamDecode.png","language":"Vue","funding_links":[],"categories":[],"sub_categories":[],"readme":"# \u003cimg src=\"https://explaining.ml/images/cvplots/logo.png\" height=\"35\"/\u003e Contribution-Value plots\n\nThe Contribution-Value plot is a visual encoding for interpreting machine learning models. [[more information]](https://explaining.ml/cvplots)\n\n\n## Demo\n\n\u003cimg src=\"https://user-images.githubusercontent.com/1223300/132945671-1e7c0b64-fb63-46b3-ac5f-3fa19808242c.png\" width=\"600\"/\u003e\n\n\n## Installation\n\nTo install use pip:\n\n```\n$ pip install cvplot\n```\n\nIf you use jupyter lab, also run:\n\n```\n$ jupyter labextension install cvplot\n```\n\nfor classic jupyter notebooks, run:\n\n```\njupyter nbextension install --py --symlink --overwrite --sys-prefix cvplot\njupyter nbextension enable --py --sys-prefix cvplot\n```\n\n\n## Development\n\nFor a development installation (requires npm or yarn),\n\n```\n$ git clone https://github.com/iamDecode/cvplot.git\n$ cd cvplot\n```\n\nYou may want to (create and) activate a virtual environment before continuing with:\n\n```\n$ pip install -e .\n$ jupyter labextension install js\n$ jupyter nbextension install --py --symlink --overwrite --sys-prefix cvplot\n$ jupyter nbextension enable --py --sys-prefix cvplot\n```\n\nWhen actively developing your extension, build Jupyter Lab with the command:\n\n```\n$ jupyter lab --watch\n```\n\nThis takes a minute or so to get started, but then automatically rebuilds JupyterLab when your javascript changes.\n\n\n## Citation\n\nIf you want to refer to our visualization, please cite our paper using the following BibTeX entry:\n\n```bibtex\n@article{collaris2021comparative,\n  title={Comparative Evaluation of Contribution-Value Plots for Machine Learning Understanding},\n  author={Collaris, Dennis and van Wijk, Jarke J.},\n  journal={Journal of Visualization},\n  year={2021},\n  issn={1875-8975},\n  doi={10.1007/s12650-021-00776-w},\n  url={https://doi.org/10.1007/s12650-021-00776-w}\n}\n```\n\n## License\n\nThis project is licensed under the BSD 2-Clause License - see the [LICENSE](LICENSE) file for details.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fiamdecode%2Fcvplot","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fiamdecode%2Fcvplot","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fiamdecode%2Fcvplot/lists"}