{"id":18774665,"url":"https://github.com/firefly-cpp/niaclass","last_synced_at":"2025-12-11T23:12:09.180Z","repository":{"id":43704720,"uuid":"335411187","full_name":"firefly-cpp/NiaClass","owner":"firefly-cpp","description":null,"archived":false,"fork":false,"pushed_at":"2024-12-05T15:42:34.000Z","size":255,"stargazers_count":0,"open_issues_count":0,"forks_count":1,"subscribers_count":2,"default_branch":"master","last_synced_at":"2024-12-05T16:36:06.316Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"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/firefly-cpp.png","metadata":{"files":{"readme":"README.md","changelog":"CHANGELOG.md","contributing":"docs/contributing.rst","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":"2021-02-02T20:12:43.000Z","updated_at":"2024-12-05T15:42:00.000Z","dependencies_parsed_at":"2024-03-29T14:31:48.453Z","dependency_job_id":"8c2df568-0c79-4294-918a-b29ce769ba06","html_url":"https://github.com/firefly-cpp/NiaClass","commit_stats":{"total_commits":47,"total_committers":4,"mean_commits":11.75,"dds":0.4893617021276596,"last_synced_commit":"1271ba4dc9bc425c8b7e65beba3c4ebc828567fc"},"previous_names":["firefly-cpp/niaclass","lukapecnik/niaclass"],"tags_count":8,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/firefly-cpp%2FNiaClass","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/firefly-cpp%2FNiaClass/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/firefly-cpp%2FNiaClass/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/firefly-cpp%2FNiaClass/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/firefly-cpp","download_url":"https://codeload.github.com/firefly-cpp/NiaClass/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":231717856,"owners_count":18415887,"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":[],"created_at":"2024-11-07T19:38:56.162Z","updated_at":"2025-12-11T23:12:09.120Z","avatar_url":"https://github.com/firefly-cpp.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003cp align=\"center\"\u003e\n    \u003cimg src=\".github/images/niaclass_logo.png\" alt=\"NiaClass\" title=\"NiaClass\"/\u003e\n\u003c/p\u003e\n\n\u003cp align=\"center\"\u003e\n    \u003ca href=\"https://pypi.python.org/pypi/niaclass\"\u003e\n        \u003cimg alt=\"PyPI Version\" src=\"https://img.shields.io/pypi/v/niaclass.svg\" /\u003e\n    \u003c/a\u003e\n    \u003cimg alt=\"PyPI - Python Version\" src=\"https://img.shields.io/pypi/pyversions/niaclass.svg\" /\u003e\n    \u003cimg alt=\"PyPI - Downloads\" src=\"https://img.shields.io/pypi/dm/niaclass.svg\" /\u003e\n    \u003ca href=\"https://github.com/lukapecnik/niaclass/blob/master/LICENSE\"\u003e\n        \u003cimg alt=\"GitHub license\" src=\"https://img.shields.io/github/license/lukapecnik/niaclass.svg\"\u003e\n    \u003c/a\u003e\n\u003c/p\u003e\n\n\u003cp align=\"center\"\u003e\n    \u003cimg alt=\"GitHub commit activity\" src=\"https://img.shields.io/github/commit-activity/w/lukapecnik/niaclass.svg\" /\u003e\n    \u003ca href=\"http://isitmaintained.com/project/lukapecnik/niaclass\"\u003e\n        \u003cimg alt=\"Average time to resolve an issue\" src=\"http://isitmaintained.com/badge/resolution/lukapecnik/niaclass.svg\" /\u003e\n    \u003c/a\u003e\n    \u003ca href=\"http://isitmaintained.com/project/lukapecnik/niaclass\"\u003e\n        \u003cimg alt=\"Percentage of issues still open\" src=\"http://isitmaintained.com/badge/open/lukapecnik/niaclass.svg\" /\u003e\n    \u003c/a\u003e\n    \u003cimg alt=\"GitHub contributors\" src=\"https://img.shields.io/github/contributors/lukapecnik/niaclass.svg\" /\u003e\n\u003c/p\u003e\n\n\u003cp align=\"center\"\u003e\n    \u003ca href=\"#-installation\"\u003e📦 Installation\u003c/a\u003e •\n    \u003ca href=\"#-functionalities\"\u003e✨ Functionalities\u003c/a\u003e •\n    \u003ca href=\"#-examples\"\u003e🚀 Examples\u003c/a\u003e •\n    \u003ca href=\"#-reference-papers\"\u003e📝 Reference papers\u003c/a\u003e •\n    \u003ca href=\"#-license\"\u003e🔑 License\u003c/a\u003e •\n    \u003ca href=\"#-cite-us\"\u003e📄 Cite us\u003c/a\u003e\n\u003c/p\u003e\n\nNiaClass is a framework for solving classification tasks using nature-inspired algorithms. The framework is written fully in Python. Its goal is to find the best possible set of classification rules for the input data using the \u003ca href=\"https://github.com/NiaOrg/NiaPy\"\u003eNiaPy framework\u003c/a\u003e, which is a popular Python collection of nature-inspired algorithms. The NiaClass classifier supports numerical and categorical features.\n\n* **Free software:** MIT license\n* **Documentation:** https://niaclass.readthedocs.io/en/latest\n* **Python versions:** 3.9, 3.10, 3.11, 3.12\n\n\u003cp align=\"center\"\u003e\u003cimg src=\".github/images/niaclass.png\" alt=\"NiaClass\" title=\"NiaClass\"/\u003e\u003c/p\u003e\n\n## 📦 Installation\n\n### pip3\n\nTo install NiaClass with pip3, use:\n\n```sh\npip3 install niaclass\n```\n\nIn case you would like to try out the latest pre-release version of the framework, install it using:\n\n```sh\npip3 install niaclass --pre\n```\n\n### Fedora Linux\n\nTo install NiaClass on Fedora, use:\n\n```sh\n$ dnf install python-niaclass\n```\n\n## ✨ Functionalities\n\n- Binary classification,\n- Multi-class classification,\n- Support for numerical and categorical features.\n\n## 🚀 Examples\n\nUsage examples can be found [here](examples).\n\n## 📝 Reference papers\n\n[1] Iztok Fister Jr., Iztok Fister, Dušan Fister, Grega Vrbančič, Vili Podgorelec. [On the potential of the nature-inspired algorithms for pure binary classification](http://www.iztok-jr-fister.eu/static/publications/267.pdf). In. Computational science - ICCS 2020 : 20th International Conference, Proceedings. Part V. Cham: Springer, pp. 18-28. Lecture notes in computer science, 12141, 2020\n\n## 🔑 License\n\nThis package is distributed under the MIT License. This license can be found online at \u003chttp://www.opensource.org/licenses/MIT\u003e.\n\n## Disclaimer\n\nThis framework is provided as-is, and there are no guarantees that it fits your purposes or that it is bug-free. Use it at your own risk!\n\n## 📄 Cite us\n\nPečnik L., Fister I., Fister Jr. I. (2021) [NiaClass: Building Rule-Based Classification Models Using Nature-Inspired Algorithms](https://iztok-jr-fister.eu/static/publications/291.pdf). In: Tan Y., Shi Y. (eds) Advances in Swarm Intelligence. ICSI 2021. Lecture Notes in Computer Science, vol 12690. Springer, Cham.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffirefly-cpp%2Fniaclass","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ffirefly-cpp%2Fniaclass","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffirefly-cpp%2Fniaclass/lists"}