{"id":19298635,"url":"https://github.com/ibbd-dev/python-ibbd-algo","last_synced_at":"2025-02-24T01:15:33.628Z","repository":{"id":43661269,"uuid":"250183308","full_name":"ibbd-dev/python-ibbd-algo","owner":"ibbd-dev","description":"Python算法模块","archived":false,"fork":false,"pushed_at":"2022-02-26T07:53:18.000Z","size":245,"stargazers_count":1,"open_issues_count":0,"forks_count":1,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-01-05T22:24:32.034Z","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":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/ibbd-dev.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2020-03-26T06:54:50.000Z","updated_at":"2022-02-25T08:10:21.000Z","dependencies_parsed_at":"2022-08-23T05:50:31.497Z","dependency_job_id":null,"html_url":"https://github.com/ibbd-dev/python-ibbd-algo","commit_stats":null,"previous_names":[],"tags_count":1,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ibbd-dev%2Fpython-ibbd-algo","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ibbd-dev%2Fpython-ibbd-algo/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ibbd-dev%2Fpython-ibbd-algo/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ibbd-dev%2Fpython-ibbd-algo/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ibbd-dev","download_url":"https://codeload.github.com/ibbd-dev/python-ibbd-algo/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":240400334,"owners_count":19795332,"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":"2024-11-09T23:08:36.621Z","updated_at":"2025-02-24T01:15:33.537Z","avatar_url":"https://github.com/ibbd-dev.png","language":"Python","readme":"# python-ibbd-algo\n\nIBBD常用算法\n\n## Install\n\n```sh\n# 安装依赖\npip3 install -r https://github.com/ibbd-dev/python-ibbd-algo/raw/master/requirements.txt\n\n# 安装\npip3 install git+https://github.com/ibbd-dev/python-ibbd-algo.git\n```\n\n## 支持的算法列表\n\n### 序列相关函数\n\n从两个序列中找到得分最高的匹配\n\n```python\nfrom ibbd_algo.sequence import Match\n\n```\n\n### Optics\n\nscikit-learn中包含很多聚类的算法，但是在使用的过程中发现一个比较大的问题，如optics算法，不能自定义距离，只能造一个轮子。\n\n```python\nfrom ibbd_algo.optics import Optics\n\npoints = [\n    np.array((1, 1)),\n    np.array((1, 3)),\n    np.array((2, 2)),\n    np.array((4, 6)),\n    np.array((5, 7)),\n]\n\n# 默认使用欧氏距离\noptics = Optics(4, 2)\noptics.fit(points)\nlabels = optics.cluster(2)\nprint(labels)\n# 输出：[0 0 0 1 1]\n```\n\n可以使用自定义距离：\n\n```python\ndef distance(point1, point2):\n    data = [abs(a-b) for a, b in zip(point1, point2)]\n    return sum(data)\n\noptics = Optics(4, 2, distance=distance)\noptics.fit(points)\n```\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fibbd-dev%2Fpython-ibbd-algo","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fibbd-dev%2Fpython-ibbd-algo","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fibbd-dev%2Fpython-ibbd-algo/lists"}