文本多标签分类

上传者: 37526882 | 上传时间: 2019-12-21 20:47:54 | 文件大小: 30.83MB | 文件类型: rar
本人在公司闲来无事,根据句子意思给出相应的标签,包含着自己对机器学习和自然语言的处理。欢迎大家相互学习

文件下载

资源详情

[{"title":"( 16 个子文件 30.83MB ) 文本多标签分类","children":[{"title":"文本多标签分类","children":[{"title":"trained_data","children":[{"title":"文件说明.txt <span style='color:#111;'> 92B </span>","children":null,"spread":false},{"title":"classifier.clf <span style='color:#111;'> 24.81MB </span>","children":null,"spread":false},{"title":"tfidfv.pkl <span style='color:#111;'> 14.67MB </span>","children":null,"spread":false},{"title":"binarizer.pkl <span style='color:#111;'> 1.36KB </span>","children":null,"spread":false}],"spread":true},{"title":"stop.txt <span style='color:#111;'> 11.55KB </span>","children":null,"spread":false},{"title":"load_classfier.py <span style='color:#111;'> 96B </span>","children":null,"spread":false},{"title":"slots_test.py <span style='color:#111;'> 304B </span>","children":null,"spread":false},{"title":"__pycache__","children":[{"title":"preprocess.cpython-36.pyc <span style='color:#111;'> 2.92KB </span>","children":null,"spread":false}],"spread":true},{"title":"Test_Plan.jmx <span style='color:#111;'> 9.60KB </span>","children":null,"spread":false},{"title":"web_classifier.py <span style='color:#111;'> 1.08KB </span>","children":null,"spread":false},{"title":"接入API文档.docx <span style='color:#111;'> 14.45KB </span>","children":null,"spread":false},{"title":"Test_Result.jmx <span style='color:#111;'> 54.85MB </span>","children":null,"spread":false},{"title":"web_classifier1.4.py <span style='color:#111;'> 975B </span>","children":null,"spread":false},{"title":"preprocess.py <span style='color:#111;'> 2.66KB </span>","children":null,"spread":false},{"title":"deploy_handbook.md <span style='color:#111;'> 2.53KB </span>","children":null,"spread":false},{"title":"result.jtl <span style='color:#111;'> 10.26MB </span>","children":null,"spread":false}],"spread":false}],"spread":true}]

评论信息

免责申明

【只为小站】的资源来自网友分享,仅供学习研究,请务必在下载后24小时内给予删除,不得用于其他任何用途,否则后果自负。基于互联网的特殊性,【只为小站】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查;无论 【只为小站】 经营者是否已进行审查,用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场,基于网友分享,根据中国法律《信息网络传播权保护条例》第二十二条之规定,若资源存在侵权或相关问题请联系本站客服人员,zhiweidada#qq.com,请把#换成@,本站将给予最大的支持与配合,做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明