{"id":29958579,"url":"https://github.com/facundoq/sklearn_nominal","last_synced_at":"2026-05-11T02:19:50.006Z","repository":{"id":283181416,"uuid":"950685521","full_name":"facundoq/sklearn_nominal","owner":"facundoq","description":"Extra models for scikit-learn, including Decision/Regression Trees with support for nominal values","archived":false,"fork":false,"pushed_at":"2025-07-17T17:41:40.000Z","size":107671,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-07-25T17:23:18.271Z","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":"bsd-3-clause","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/facundoq.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,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2025-03-18T14:35:07.000Z","updated_at":"2025-07-17T17:41:44.000Z","dependencies_parsed_at":"2025-04-28T16:58:26.663Z","dependency_job_id":"5beac8f3-3b78-47a9-adbf-32cacc5f28fe","html_url":"https://github.com/facundoq/sklearn_nominal","commit_stats":null,"previous_names":["facundoq/scikit-learn-models","facundoq/sklearnmodels","facundoq/sklearn_nominal"],"tags_count":2,"template":false,"template_full_name":null,"purl":"pkg:github/facundoq/sklearn_nominal","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/facundoq%2Fsklearn_nominal","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/facundoq%2Fsklearn_nominal/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/facundoq%2Fsklearn_nominal/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/facundoq%2Fsklearn_nominal/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/facundoq","download_url":"https://codeload.github.com/facundoq/sklearn_nominal/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/facundoq%2Fsklearn_nominal/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":268610652,"owners_count":24278150,"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","status":"online","status_checked_at":"2025-08-03T02:00:12.545Z","response_time":2577,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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":"2025-08-03T20:46:46.098Z","updated_at":"2026-01-20T17:31:42.625Z","avatar_url":"https://github.com/facundoq.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# sklearn_nominal\nExtra models for scikit-learn, including Tree, PRISM, CN2, OneR and ZeroR Classifiers and Regressors with support for **nominal values**.\n\n## Colab Quickstart\n\nCheck our  [classification models notebook](https://colab.research.google.com/github/facundoq/sklearn_nominal/blob/main/examples/Classification%20Models.ipynb) and [regression models notebook](https://colab.research.google.com/github/facundoq/sklearn_nominal/blob/main/examples/Regression%20Models.ipynb) to see samples of `sklearn_nominal` models in action with simple datasets.\n\n## Installation\n\nTo use `sklearn_nominal` in your project, you can install it from [pypi](https://pypi.org/project/sklearn-nominal/) (no conda-forge support yet):\n\nUsing `pip`:\n````\npip install sklearn_nominal\n````\n\nUsing `uv`:\n````\nuv add sklearn_nominal\n````\n\n## Installation with support for svg/png/pdf export for Tree models\n\nTo export tree graphs to those formats, you need `pygraphviz` (and in the future, possibly other dependencies). Regrettably, `pygraphviz` does not include its own binaries for `grpahviz`. Therefore, make sure to install `graphviz` (with headers) and `cairo`. In Ubuntu 24.04, that can be achieved with:\n\n````\nsudo apt install libgraphviz-dev\n````\n\nThen use the `export` extras version of `sklearn_nominal` installing:\n\n````\npip install  \"sklearn_nominal[export]\"\n````\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffacundoq%2Fsklearn_nominal","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ffacundoq%2Fsklearn_nominal","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffacundoq%2Fsklearn_nominal/lists"}