{"id":13425460,"url":"https://github.com/WinVector/vtreat","last_synced_at":"2025-03-15T19:33:42.094Z","repository":{"id":19484080,"uuid":"22729841","full_name":"WinVector/vtreat","owner":"WinVector","description":"vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distributed under choice of GPL-2 or GPL-3 license.","archived":false,"fork":false,"pushed_at":"2025-01-09T22:21:41.000Z","size":181210,"stargazers_count":285,"open_issues_count":0,"forks_count":45,"subscribers_count":22,"default_branch":"main","last_synced_at":"2025-03-08T06:49:16.842Z","etag":null,"topics":["categorical-variables","machine-learning-algorithms","nested-models","prepare-data","r"],"latest_commit_sha":null,"homepage":"https://winvector.github.io/vtreat/","language":"HTML","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/WinVector.png","metadata":{"files":{"readme":"README.Rmd","changelog":null,"contributing":"CONTRIBUTING.md","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}},"created_at":"2014-08-07T17:21:05.000Z","updated_at":"2025-02-01T18:54:01.000Z","dependencies_parsed_at":"2022-08-21T06:50:40.534Z","dependency_job_id":"a377cbb5-1e9d-4658-adfe-6c80d7746053","html_url":"https://github.com/WinVector/vtreat","commit_stats":{"total_commits":1055,"total_committers":6,"mean_commits":"175.83333333333334","dds":"0.049289099526066305","last_synced_commit":"7ee77dcef3082a9e791aa8f0d764d8910b12b326"},"previous_names":[],"tags_count":48,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/WinVector%2Fvtreat","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/WinVector%2Fvtreat/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/WinVector%2Fvtreat/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/WinVector%2Fvtreat/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/WinVector","download_url":"https://codeload.github.com/WinVector/vtreat/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243782241,"owners_count":20347228,"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":["categorical-variables","machine-learning-algorithms","nested-models","prepare-data","r"],"created_at":"2024-07-31T00:01:12.764Z","updated_at":"2025-03-15T19:33:37.080Z","avatar_url":"https://github.com/WinVector.png","language":"HTML","readme":null,"funding_links":[],"categories":["HTML"],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FWinVector%2Fvtreat","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FWinVector%2Fvtreat","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FWinVector%2Fvtreat/lists"}