{"id":17255100,"url":"https://github.com/unixjunkie/linwrap","last_synced_at":"2025-04-14T05:40:28.474Z","repository":{"id":37761115,"uuid":"207235393","full_name":"UnixJunkie/linwrap","owner":"UnixJunkie","description":"Wrapper on top of liblinear-tools","archived":false,"fork":false,"pushed_at":"2024-04-22T07:37:18.000Z","size":2726,"stargazers_count":6,"open_issues_count":10,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-03-27T19:23:07.078Z","etag":null,"topics":["classification","l2-regularization","liblinear","linear-svm","linear-svr","logistic-regression","lrl2","machine-learning","ocaml-program"],"latest_commit_sha":null,"homepage":"","language":"OCaml","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/UnixJunkie.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,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2019-09-09T06:02:00.000Z","updated_at":"2024-04-22T05:52:12.000Z","dependencies_parsed_at":"2024-10-15T07:10:47.558Z","dependency_job_id":"47a07662-78aa-4bc7-b2a7-f59a97d243f4","html_url":"https://github.com/UnixJunkie/linwrap","commit_stats":null,"previous_names":[],"tags_count":46,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/UnixJunkie%2Flinwrap","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/UnixJunkie%2Flinwrap/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/UnixJunkie%2Flinwrap/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/UnixJunkie%2Flinwrap/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/UnixJunkie","download_url":"https://codeload.github.com/UnixJunkie/linwrap/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248830414,"owners_count":21168271,"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":["classification","l2-regularization","liblinear","linear-svm","linear-svr","logistic-regression","lrl2","machine-learning","ocaml-program"],"created_at":"2024-10-15T07:10:42.323Z","updated_at":"2025-04-14T05:40:28.454Z","avatar_url":"https://github.com/UnixJunkie.png","language":"OCaml","readme":"# linwrap\nWrapper on top of liblinear-tools.\n\nLinwrap can be used to train a L2-regularized logistic regression classifier\nor a linear Support Vector Regressor.\nYou can optimize C (the L2 regularization parameter), w (the class weight)\nor k (the number of bags, i.e. use bagging).\nYou can also find the optimal classification threshold using MCC maximization,\nuse k-folds cross validation, parallelization, etc.\nIn the regression case, you can only optimize C and epsilon.\n\nBibliography\n============\n\n[1] Fan, R. E., Chang, K. W., Hsieh, C. J., Wang, X. R., \u0026 Lin, C. J. (2008).\nLIBLINEAR: A library for large linear classification.\nJournal of machine learning research, 9(Aug), 1871-1874.\n\n[2] Hsu, C. W., Chang, C. C., \u0026 Lin, C. J. (2003).\nA practical guide to support vector classification.\n\n[3] Hsia, J. Y., \u0026 Lin, C. J. (2020).\nParameter selection for linear support vector regression.\nIEEE Transactions on Neural Networks and Learning Systems.\n\n[4] Breiman, L. (1996).\nBagging predictors.\nMachine learning, 24(2), 123-140.\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Funixjunkie%2Flinwrap","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Funixjunkie%2Flinwrap","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Funixjunkie%2Flinwrap/lists"}