{"id":19430731,"url":"https://github.com/alpacatechjp/multiarow","last_synced_at":"2025-04-24T18:33:54.144Z","repository":{"id":57443890,"uuid":"37919834","full_name":"AlpacaTechJP/multiarow","owner":"AlpacaTechJP","description":"Multi-class AROW in python","archived":false,"fork":false,"pushed_at":"2015-07-09T04:47:03.000Z","size":184,"stargazers_count":4,"open_issues_count":0,"forks_count":4,"subscribers_count":9,"default_branch":"master","last_synced_at":"2024-11-09T11:42:08.748Z","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":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/AlpacaTechJP.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":"2015-06-23T13:14:35.000Z","updated_at":"2022-07-08T03:14:18.000Z","dependencies_parsed_at":"2022-09-10T18:51:05.662Z","dependency_job_id":null,"html_url":"https://github.com/AlpacaTechJP/multiarow","commit_stats":null,"previous_names":["alpacadb/multiarow"],"tags_count":2,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AlpacaTechJP%2Fmultiarow","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AlpacaTechJP%2Fmultiarow/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AlpacaTechJP%2Fmultiarow/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AlpacaTechJP%2Fmultiarow/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/AlpacaTechJP","download_url":"https://codeload.github.com/AlpacaTechJP/multiarow/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":223963828,"owners_count":17232757,"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":[],"created_at":"2024-11-10T14:26:20.348Z","updated_at":"2024-11-10T14:26:20.823Z","avatar_url":"https://github.com/AlpacaTechJP.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Multi-class AROW\n\nThis is a simple, mimimalist AROW implementation in python.\n\n## Install\n\n```\n$ pip install multiarow\n```\n\n## Usage\n\nIt is super-simple.\n\n```python\nimport multiarow\n# create an instance\narow = multiarow.AROW()\n\n# train\narow.train('label1', np.array([1,2,3], dtype=np.float))\narow.train('label2', np.array([-1,-2,-3], dtype=np.float))\n\n# classify\npredicted = arow.classify(np.array([4,5,9], dtype=np.float))\n=\u003e 'label1'\n\n# list up previously trained class labels\nlabels = arow.list_label()\n=\u003e ['label1', 'label2']\n\n# delete a class label\narow.delete_label(label1)\n\n```\n\nIf you need to persist the current learning result, you can simply use pickle or joblib.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Falpacatechjp%2Fmultiarow","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Falpacatechjp%2Fmultiarow","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Falpacatechjp%2Fmultiarow/lists"}