{"id":18689842,"url":"https://github.com/jungtaekkim/bayeso","last_synced_at":"2025-04-04T19:13:11.971Z","repository":{"id":32711229,"uuid":"112427498","full_name":"jungtaekkim/bayeso","owner":"jungtaekkim","description":"Simple, but essential Bayesian optimization package","archived":false,"fork":false,"pushed_at":"2025-01-07T21:08:22.000Z","size":5644,"stargazers_count":94,"open_issues_count":1,"forks_count":9,"subscribers_count":5,"default_branch":"main","last_synced_at":"2025-03-28T18:14:51.172Z","etag":null,"topics":["bayesian-optimization","hyperparameter-optimization","machine-learning"],"latest_commit_sha":null,"homepage":"https://bayeso.org","language":"Python","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/jungtaekkim.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE","code_of_conduct":"CODE_OF_CONDUCT.md","threat_model":null,"audit":null,"citation":"CITATION.cff","codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2017-11-29T04:41:57.000Z","updated_at":"2024-12-30T22:55:37.000Z","dependencies_parsed_at":"2024-01-06T13:09:10.784Z","dependency_job_id":"3e91f655-7404-487e-ba68-22d20eddaa80","html_url":"https://github.com/jungtaekkim/bayeso","commit_stats":{"total_commits":562,"total_committers":3,"mean_commits":"187.33333333333334","dds":0.1512455516014235,"last_synced_commit":"c098cdb234d19aafd59060dbdc3d313c93b9c5be"},"previous_names":[],"tags_count":9,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jungtaekkim%2Fbayeso","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jungtaekkim%2Fbayeso/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jungtaekkim%2Fbayeso/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jungtaekkim%2Fbayeso/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/jungtaekkim","download_url":"https://codeload.github.com/jungtaekkim/bayeso/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247234923,"owners_count":20905854,"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":["bayesian-optimization","hyperparameter-optimization","machine-learning"],"created_at":"2024-11-07T10:45:28.511Z","updated_at":"2025-04-04T19:13:11.954Z","avatar_url":"https://github.com/jungtaekkim.png","language":"Python","funding_links":[],"categories":["Python"],"sub_categories":["General-Purpose Machine Learning"],"readme":"\u003cp align=\"center\"\u003e\n\u003cimg src=\"https://raw.githubusercontent.com/jungtaekkim/bayeso/main/docs/_static/assets/logo_bayeso_capitalized.svg\" width=\"400\" /\u003e\n\u003c/p\u003e\n\n# BayesO: A Bayesian Optimization Framework in Python\n[![DOI](https://joss.theoj.org/papers/10.21105/joss.05320/status.svg)](https://doi.org/10.21105/joss.05320)\n[![Build Status](https://github.com/jungtaekkim/bayeso/actions/workflows/pytest.yml/badge.svg)](https://github.com/jungtaekkim/bayeso/actions/workflows/pytest.yml)\n[![Coverage Status](https://coveralls.io/repos/github/jungtaekkim/bayeso/badge.svg?branch=main)](https://coveralls.io/github/jungtaekkim/bayeso?branch=main)\n[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/bayeso)](https://pypi.org/project/bayeso/)\n[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)\n[![Documentation Status](https://readthedocs.org/projects/bayeso/badge/?version=main)](https://bayeso.readthedocs.io/en/main/?badge=main)\n\n\u003cp align=\"center\"\u003e\n\u003cimg src=\"https://raw.githubusercontent.com/jungtaekkim/bayeso/main/docs/_static/steps/ei.gif\" width=\"600\" /\u003e\n\u003c/p\u003e\n\nSimple, but essential Bayesian optimization package.\n\n* [https://bayeso.org](https://bayeso.org)\n* [Online documentation](https://bayeso.readthedocs.io)\n\n## Installation\nWe recommend installing it with `virtualenv`.\nYou can choose one of three installation options.\n\n* Using PyPI repository (for user installation)\n\nTo install the released version in PyPI repository, command it.\n\n```shell\n$ pip install bayeso\n```\n\n* Using source code (for developer installation)\n\nTo install `bayeso` from source code, command the following in the `bayeso` root.\n\n```shell\npip install .\n```\n\n* Using source code (for editable development mode)\n\nTo use editable development mode, command the following in the `bayeso` root.\n\n```shell\npip install -e .\n```\n\nIf you want to install the packages required for optional features, development, and examples, you can simply add `[optional]`, `[dev]`, and `[examples]`.\nFor example, `pip install .[dev]` or `pip install -e .[dev]`.\n\n* Uninstallation\n\nIf you would like to uninstall `bayeso`, command it.\n\n```shell\n$ pip uninstall bayeso\n```\n\n## Supported Python Version\nWe test our package in the following versions.\n\n* Python 3.7\n* Python 3.8\n* Python 3.9\n* Python 3.10\n* Python 3.11\n\n## Examples and Tests\nWe provide a [list of examples](EXAMPLES.md) and a [list of tests](TESTS.md).\n\n## Citation\n```\n@article{KimJ2023joss,\n    author={Kim, Jungtaek and Choi, Seungjin},\n    title={{BayesO}: A {Bayesian} optimization framework in {Python}},\n    journal={Journal of Open Source Software},\n    volume={8},\n    number={90},\n    pages={5320},\n    year={2023}\n}\n```\n\n## License\n[MIT License](LICENSE)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjungtaekkim%2Fbayeso","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjungtaekkim%2Fbayeso","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjungtaekkim%2Fbayeso/lists"}