{"id":13641002,"url":"https://github.com/AustinRochford/PyCEbox","last_synced_at":"2025-04-20T07:31:33.754Z","repository":{"id":45776033,"uuid":"47271305","full_name":"AustinRochford/PyCEbox","owner":"AustinRochford","description":"⬛ Python Individual Conditional Expectation Plot Toolbox","archived":false,"fork":false,"pushed_at":"2020-05-29T15:11:16.000Z","size":1208,"stargazers_count":164,"open_issues_count":5,"forks_count":35,"subscribers_count":6,"default_branch":"master","last_synced_at":"2024-10-04T10:48:24.539Z","etag":null,"topics":["interpretability","machine-learning"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/AustinRochford.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2015-12-02T15:49:34.000Z","updated_at":"2024-08-13T06:14:59.000Z","dependencies_parsed_at":"2022-08-12T12:20:32.347Z","dependency_job_id":null,"html_url":"https://github.com/AustinRochford/PyCEbox","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/AustinRochford%2FPyCEbox","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AustinRochford%2FPyCEbox/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AustinRochford%2FPyCEbox/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AustinRochford%2FPyCEbox/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/AustinRochford","download_url":"https://codeload.github.com/AustinRochford/PyCEbox/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":223821987,"owners_count":17208779,"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","machine-learning"],"created_at":"2024-08-02T01:01:16.718Z","updated_at":"2024-11-09T11:30:36.065Z","avatar_url":"https://github.com/AustinRochford.png","language":"Jupyter Notebook","funding_links":[],"categories":["Model Explanation","Industrial Strength Visualisation libraries","Visualisation libraries","Industry Strength Visualisation","Tutorials \u0026 Guides","Python Libraries(sort in alphabeta order)","Technical Resources"],"sub_categories":["NLP","Others","Interpretability \u0026 Explainability","Evaluation methods","Open Source/Access Responsible AI Software Packages"],"readme":"# ⬛ PyCEbox\nPython Individual Conditional Expectation Plot Toolbox\n\n![Individual conditional expectation plot](./img/ice_demo.png)\n\nA Python implementation of individual conditional expecation plots inspired by R's [ICEbox](https://cran.r-project.org/web/packages/ICEbox/index.html). Individual conditional expectation plots were introduced in _Peeking Inside the Black Box: Visualizing Statistical Learning with Plots of Individual Conditional Expectation_ ([arXiv:1309.6392](http://arxiv.org/abs/1309.6392)).\n\n## Quickstart\n\n`pycebox` is [available](https://pypi.python.org/pypi/pycebox) on PyPI and can be installed with `pip install pycebox.`\n\nThe [tutorial](https://github.com/AustinRochford/PyCEbox/blob/master/notebooks/PyCEBox%20Tutorial.ipynb) recreates the first example in the above paper using `pycebox`.\n\n## Development\n\nFor easy development and prototyping using IPython notebooks, a Docker environment is included.  To run an IPython notebook with access to your development version of `pycebox`, run `PORT=8889 sh ./start_container.sh`.  A Jupyter notebook server with access to your development version of `pycebox` should be available at `http://localhost:8889/tree`.\n\nTo run the `pycebox`'s tests in your development container\n\n1. Access a bash shell on the container with `docker exec -it pycebox bash`.\n2. Change to the `pycebox` directory with `cd ../pycebox`\n3. Run the tests with `pytest test/test.py`\n\n## Documentation\nFor details of `pycebox`'s API, consult the [documentation](http://austinrochford.github.io/PyCEbox/docs/).\n\n## License\n\nThis library is distributed under the [MIT License](https://raw.githubusercontent.com/AustinRochford/PyCEbox/master/LICENSE).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FAustinRochford%2FPyCEbox","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FAustinRochford%2FPyCEbox","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FAustinRochford%2FPyCEbox/lists"}