{"id":17255147,"url":"https://github.com/unixjunkie/rvm","last_synced_at":"2025-03-26T08:16:00.083Z","repository":{"id":144782686,"uuid":"191100005","full_name":"UnixJunkie/RVM","owner":"UnixJunkie","description":"Ranking Vector Machine","archived":false,"fork":false,"pushed_at":"2019-06-10T05:15:58.000Z","size":19,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"master","last_synced_at":"2025-01-31T09:31:18.419Z","etag":null,"topics":["classification","cpp-program","rvm"],"latest_commit_sha":null,"homepage":"https://pubs.acs.org/doi/full/10.1021/ci200128w","language":"C++","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":"2019-06-10T05:04:27.000Z","updated_at":"2019-06-10T05:16:00.000Z","dependencies_parsed_at":null,"dependency_job_id":"c1edd948-0b8f-4043-8126-1ede9a77fac0","html_url":"https://github.com/UnixJunkie/RVM","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/UnixJunkie%2FRVM","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/UnixJunkie%2FRVM/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/UnixJunkie%2FRVM/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/UnixJunkie%2FRVM/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/UnixJunkie","download_url":"https://codeload.github.com/UnixJunkie/RVM/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":245615009,"owners_count":20644376,"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","cpp-program","rvm"],"created_at":"2024-10-15T07:10:49.082Z","updated_at":"2025-03-26T08:16:00.056Z","avatar_url":"https://github.com/UnixJunkie.png","language":"C++","readme":"# RVM\nRanking Vector Machine\n\nsupplementary materials of:\n\"Lowe, R., Mussa, H. Y., Mitchell, J. B., \u0026 Glen, R. C. (2011). Classifying molecules using a sparse probabilistic kernel binary classifier. Journal of chemical information and modeling, 51(7), 1539-1544.\"\n\nSI: https://pubs.acs.org/doi/full/10.1021/ci200128w\n\nzip: https://pubs.acs.org/doi/suppl/10.1021/ci200128w/suppl_file/ci200128w_si_001.zip\n\n***************************************************************************\n\n1) RVM SOURCE\n2) DESCRIPTOR CALCULATION\n3) MDDR DATA\n\n***************************************************************************\n1) RVM SOURCE\n\nCurrently there is only support for Mac OS X as we are using the Accelerate Framework for the BLAS libraries.\n\nTo Compile, type make.\nThis will compile a binary for your system named RVM\n\nYou can then run the program as\n\n./RVM\n\nArguments:\n\n-k STRING Must be [Gaus,Cauch,Binary] This defines which kernel to use\n\n-b DOUBLE This defines the hyperparameter for that kernel\n\n-t STRING Directory of training file. The file must be tab separated and have the last column as the class label 1 or 0\n\n-v STRING Directory of Validation file\n\n-s STRING Directory of Test file\n\n-i INT    Iteration limit for algorithm\n\n-o STRING Directory of output file\n\n-r STRING Not used\n\n-y        Output probabilities\n\n***************************************************************************\n2) DESCRIPTOR CALCULATION\n\nThe descriptors used were MOLPRINT 2D descriptors. These can be calculated using the free available software from http://molprint.com/\n\n***************************************************************************\n3) MDDR DATA\n\nThe MDDR data is licensed so can not be included in the supporting information. We can supply the MDDR Codes used and these are attached in a separate file MDDR_IDS\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Funixjunkie%2Frvm","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Funixjunkie%2Frvm","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Funixjunkie%2Frvm/lists"}