{"id":15687566,"url":"https://github.com/arose13/gmem","last_synced_at":"2025-05-07T19:48:49.253Z","repository":{"id":57435069,"uuid":"162823542","full_name":"arose13/GMEM","owner":"arose13","description":"Generalised Mixed Effects Model. Now any machine learning model can have random effects.","archived":false,"fork":false,"pushed_at":"2019-03-16T15:40:49.000Z","size":595,"stargazers_count":9,"open_issues_count":1,"forks_count":1,"subscribers_count":3,"default_branch":"master","last_synced_at":"2025-02-24T13:50:06.522Z","etag":null,"topics":["data-science","machine-learning","mixed-effects-models"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/arose13.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2018-12-22T15:50:04.000Z","updated_at":"2023-01-10T12:44:06.000Z","dependencies_parsed_at":"2022-09-04T15:33:53.158Z","dependency_job_id":null,"html_url":"https://github.com/arose13/GMEM","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/arose13%2FGMEM","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/arose13%2FGMEM/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/arose13%2FGMEM/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/arose13%2FGMEM/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/arose13","download_url":"https://codeload.github.com/arose13/GMEM/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243025264,"owners_count":20223771,"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":["data-science","machine-learning","mixed-effects-models"],"created_at":"2024-10-03T17:49:58.143Z","updated_at":"2025-03-11T11:31:39.248Z","avatar_url":"https://github.com/arose13.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"GMEM\n===============================\n\nAuthor: Stephen Anthony Rose\nFork of MERF\n\nOverview\n--------\n\nRandom Effects models for _any ML model_.\nThis is a generalisation of a Mixed Effects Random Forest model\n\nInstallation / Usage\n--------------------\n\nTo install use pip:\n\n    $ pip install gmem\n\n\nOr clone the repo:\n\n    $ git clone https://github.com/arose13/gmem.git\n    $ python setup.py install\n    \nContributing\n------------\n\nMe (Stephen Anthony Rose)\n\nExample\n-------\n\nTo be announced.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Farose13%2Fgmem","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Farose13%2Fgmem","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Farose13%2Fgmem/lists"}