{"id":63173,"date":"2026-01-21T13:26:21","date_gmt":"2026-01-21T05:26:21","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/63173.html"},"modified":"2026-01-21T13:26:21","modified_gmt":"2026-01-21T05:26:21","slug":"%e4%bb%8e%e6%8c%ab%e6%8a%98%e5%88%b0%e6%88%90%e5%8a%9f%ef%bc%9a%e6%88%91%e7%9a%84%e6%9c%ba%e5%99%a8%e5%ad%a6%e4%b9%a0%e8%bd%ac%e5%9e%8b%e6%97%a5%e8%ae%b0","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/63173.html","title":{"rendered":"\u4ece\u632b\u6298\u5230\u6210\u529f\uff1a\u6211\u7684\u673a\u5668\u5b66\u4e60\u8f6c\u578b\u65e5\u8bb0"},"content":{"rendered":"<h4>\u7b2c\u4e00\u7ae0 \u6d4b\u8bd5\u601d\u7ef4\u906d\u9047\u7b97\u6cd5\u9ed1\u7bb1&#xff08;\u7b2c1-30\u5929&#xff09;<\/h4>\n<p>\u6280\u672f\u51b2\u7a81\u573a\u666f<\/p>\n<ul>\n<li>\n<p>\u9ed1\u76d2\u56f0\u5883&#xff1a;\u9762\u5bf9\u968f\u673a\u68ee\u6797\u7684\u9884\u6d4b\u7ed3\u679c&#xff0c;\u4e60\u60ef\u6027\u6267\u884c\u7b49\u4ef7\u7c7b\u5212\u5206\u5374\u5931\u6548&#xff08;\u7279\u5f81\u7ef4\u5ea6\u9ad8\u8fbe287\u4e2a&#xff09;<\/p>\n<\/li>\n<li>\n<p>\u9a8c\u8bc1\u5371\u673a- \u4f20\u7edf\u65ad\u8a00\u65b9\u6cd5\u5728\u6a21\u578b\u8bc4\u4f30\u4e2d\u5168\u9762\u5d29\u76d8&#xff1a;<\/p>\n<p> # \u6d4b\u8bd5\u5de5\u7a0b\u5e08\u7684\u601d\u7ef4\u5b9a\u5f0f vs \u5b9e\u9645\u9700\u6c42<br \/>\nassert accuracy_score &#061;&#061; 1.0 # \u7406\u60f3\u5316\u65ad\u8a00 \u2192 \u5b9e\u9645\u9700\u63a5\u53d7ROC-AUC\u9608\u503c <\/p>\n<\/li>\n<li>\n<p>\u73af\u5883\u5730\u72f1&#xff1a;\u5728\u642d\u5efaTensorFlow\u73af\u5883\u65f6\u906d\u9047CUDA\u7248\u672c\u51b2\u7a81&#xff0c;5\u5929\u5185\u91cd\u88c5\u7cfb\u7edf3\u6b21<\/p>\n<\/li>\n<\/ul>\n<p>\u7a81\u7834\u70b9&#xff1a;\u5c06\u6d4b\u8bd5\u7528\u4f8b\u8bbe\u8ba1\u601d\u7ef4\u8f6c\u5316\u4e3a\u7279\u5f81\u5de5\u7a0b\u65b9\u6cd5\u8bba<\/p>\n<ul>\n<li>\n<p>\u5f00\u53d1\u300c\u7279\u5f81\u6709\u6548\u6027\u8bc4\u4f30\u77e9\u9635\u300d\u66ff\u4ee3\u6d4b\u8bd5\u7528\u4f8b\u8868<\/p>\n<\/li>\n<li>\n<p>\u521b\u5efa\u6a21\u578b\u76d1\u63a7\u4eea\u8868\u76d8&#xff08;\u96c6\u6210Prometheus&#043;Grafana&#xff09;<\/p>\n<\/li>\n<\/ul>\n<hr \/>\n<h4>\u7b2c\u4e8c\u7ae0 \u6d4b\u8bd5\u65b9\u6cd5\u8bba\u7684\u91cd\u6784&#xff08;\u7b2c31-120\u5929&#xff09;<\/h4>\n<p>\u6d4b\u8bd5\u8f6c\u578b\u4e09\u5927\u6218\u5f79<\/p>\n<table>\n<tbody>\n<tr>\n<p>\u4f20\u7edf\u6d4b\u8bd5\u80fd\u529b<\/p>\n<p>\u673a\u5668\u5b66\u4e60\u9002\u914d\u6539\u9020<\/p>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u8fb9\u754c\u503c\u5206\u6790<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u5f02\u5e38\u70b9\u68c0\u6d4b&#xff08;Isolation Forest\u5e94\u7528&#xff09;<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u8def\u5f84\u8986\u76d6<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u51b3\u7b56\u6811\u5206\u88c2\u8def\u5f84\u76d1\u63a7<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u6027\u80fd\u6d4b\u8bd5<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u6a21\u578b\u63a8\u7406\u65f6\u5ef6\u538b\u6d4b&#xff08;Locust\u6539\u9020&#xff09;<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u5b9e\u6218\u9879\u76ee&#xff1a;\u4fe1\u7528\u5361\u6b3a\u8bc8\u68c0\u6d4b\u7cfb\u7edf\u6d4b\u8bd5<\/p>\n<li>\n<p>\u6570\u636e\u9a8c\u8bc1\u5c42&#xff1a;<\/p>\n<ul>\n<li>\n<p>\u5f00\u53d1\u7279\u5f81\u6f02\u79fb\u68c0\u6d4b\u5668&#xff08;KS\u68c0\u9a8c&#043;PSI\u6307\u6807&#xff09;<\/p>\n<\/li>\n<li>\n<p>\u6784\u5efa\u6807\u7b7e\u6cc4\u9732\u9632\u62a4\u673a\u5236<\/p>\n<\/li>\n<\/ul>\n<\/li>\n<li>\n<p>\u6a21\u578b\u6d4b\u8bd5\u5957\u4ef6&#xff1a;<\/p>\n<p> def test_model_fairness():<br \/>\n# \u6d4b\u8bd5\u4e0d\u540c\u6027\u522b\u7528\u6237\u7684FPR\u5dee\u5f02<br \/>\nassert demographic_parity &lt; 0.05 # \u516c\u5e73\u6027\u65ad\u8a00 <\/p>\n<\/li>\n<li>\n<p>\u4e0a\u7ebf\u76d1\u63a7&#xff1a;<\/p>\n<ul>\n<li>\n<p>\u5b9e\u65f6\u7edf\u8ba1\u7279\u5f81\u5206\u5e03&#xff08;Evidently AI\u5e94\u7528&#xff09;<\/p>\n<\/li>\n<li>\n<p>\u90e8\u7f72\u6a21\u578b\u7248\u672cA\/B\u6d4b\u8bd5\u6846\u67b6<\/p>\n<\/li>\n<\/ul>\n<\/li>\n<hr \/>\n<h4>\u7b2c\u4e09\u7ae0 \u6d4b\u8bd5\u5e73\u53f0\u7684\u667a\u80fd\u5316\u5347\u7ea7&#xff08;\u7b2c121-240\u5929&#xff09;<\/h4>\n<p>\u6784\u5efaMLOps\u6d4b\u8bd5\u6d41\u6c34\u7ebf<\/p>\n<p>graph LR<br \/>\nA[\u6570\u636e\u8d28\u91cf\u5173\u5361] &#8211;&gt; B[\u7279\u5f81\u9a8c\u8bc1\u6c99\u7bb1]<br \/>\nB &#8211;&gt; C[\u6a21\u578b\u5355\u5143\u6d4b\u8bd5]<br \/>\nC &#8211;&gt; D[\u538b\u529b\u6d4b\u8bd5\u96c6\u7fa4]<br \/>\nD &#8211;&gt; E[\u7ebf\u4e0a\u76d1\u63a7\u544a\u8b66] <\/p>\n<p>\u9769\u547d\u6027\u7a81\u7834&#xff1a;<\/p>\n<ul>\n<li>\n<p>\u5f00\u53d1\u6a21\u578b\u5065\u58ee\u6027\u6d4b\u8bd5\u5de5\u5177&#xff08;\u5bf9\u6297\u6837\u672c\u751f\u6210&#043;\u9c81\u68d2\u6027\u8bc4\u5206&#xff09;<\/p>\n<\/li>\n<li>\n<p>\u521b\u5efa\u7279\u5f81\u91cd\u8981\u6027\u8ffd\u8e2a\u5668&#xff0c;\u81ea\u52a8\u751f\u6210\u6d4b\u8bd5\u4f18\u5148\u7ea7\u5217\u8868<\/p>\n<\/li>\n<li>\n<p>\u5b9e\u73b0\u9884\u6d4b\u53ef\u89e3\u91ca\u6027\u6d4b\u8bd5\u5957\u4ef6&#xff08;SHAP\u503c\u7a33\u5b9a\u6027\u9a8c\u8bc1&#xff09;<\/p>\n<\/li>\n<\/ul>\n<hr \/>\n<h4>\u7b2c\u56db\u7ae0 \u6d4b\u8bd5\u5de5\u7a0b\u5e08\u7684AI\u8d4b\u80fd&#xff08;\u7b2c241-365\u5929&#xff09;<\/h4>\n<p>\u65b0\u578b\u6d4b\u8bd5\u67b6\u6784\u5b9e\u8df5<\/p>\n<li>\n<p>\u667a\u80fd\u6d4b\u8bd5\u6570\u636e\u5de5\u5382<\/p>\n<ul>\n<li>\n<p>\u5229\u7528GAN\u751f\u6210\u8fb9\u7f18\u6848\u4f8b\u6570\u636e<\/p>\n<\/li>\n<li>\n<p>\u6784\u5efa\u6570\u636e\u589e\u5f3a\u6d41\u6c34\u7ebf&#xff08;SMOTE\u6539\u8fdb\u7b97\u6cd5&#xff09;<\/p>\n<\/li>\n<\/ul>\n<\/li>\n<li>\n<p>\u81ea\u52a8\u5316\u65ad\u8a00\u751f\u6210\u5668<\/p>\n<p> # \u4f20\u7edf\u65ad\u8a00 \u2192 \u81ea\u9002\u5e94\u65ad\u8a00<br \/>\n# \u65e7&#xff1a;assert response_code &#061;&#061; 200<br \/>\n# \u65b0&#xff1a;assert prediction_confidence &gt; threshold <\/p>\n<\/li>\n<li>\n<p>\u6a21\u578b\u76d1\u63a7\u54e8\u5175\u7cfb\u7edf<\/p>\n<ul>\n<li>\n<p>\u5b9e\u65f6\u68c0\u6d4b\u7279\u5f81\u6f02\u79fb&#xff08;JS\u6563\u5ea6\u544a\u8b66&#xff09;<\/p>\n<\/li>\n<li>\n<p>\u81ea\u52a8\u89e6\u53d1\u6a21\u578b\u91cd\u8bad\u7ec3\u673a\u5236<\/p>\n<\/li>\n<\/ul>\n<\/li>\n<p>\u6548\u80fd\u63d0\u5347\u6570\u636e\u5bf9\u6bd4<\/p>\n<table>\n<tbody>\n<tr>\n<p>\u6307\u6807<\/p>\n<p>\u8f6c\u578b\u524d<\/p>\n<p>\u8f6c\u578b\u540e<\/p>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u7f3a\u9677\u6355\u6349\u7387<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>68%<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>92%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u56de\u5f52\u6d4b\u8bd5\u8017\u65f6<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>14\u5c0f\u65f6<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>2.3\u5c0f\u65f6<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u751f\u4ea7\u4e8b\u6545<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>3\u6b21\/\u6708<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>0\u6b21\/\u5b63\u5ea6<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<hr \/>\n<h4>\u7ed9\u6d4b\u8bd5\u540c\u884c\u7684\u8f6c\u578b\u6307\u5357<\/h4>\n<p>\u5173\u952e\u6280\u672f\u6808\u6f14\u8fdb\u8def\u5f84<\/p>\n<p>\u6d4b\u8bd5\u57fa\u7840 \u2192 Python\u6838\u5fc3 \u2192 \u6570\u636e\u5904\u7406(Pandas) \u2192 \u7b97\u6cd5\u63a8\u5bfc(\u7ebf\u6027\u4ee3\u6570) \u2192<br \/>\n\u6846\u67b6\u5b9e\u8df5(sklearn) \u2192 \u6df1\u5ea6\u5b66\u4e60(PyTorch) \u2192 MLOps(Kubeflow) <\/p>\n<p>\u6d4b\u8bd5\u601d\u7ef4\u8f6c\u6362\u516c\u5f0f \u6d4b\u8bd5\u7528\u4f8b &#061; \u7279\u5f81\u7ec4\u5408 \u00d7 \u6570\u636e\u5206\u5e03 \u00d7 \u51b3\u7b56\u8fb9\u754c<\/p>\n<p>\u907f\u5751\u6e05\u5355 \u26a0\ufe0f \u8b66\u60d5\u6807\u7b7e\u6cc4\u6f0f&#xff08;\u6d4b\u8bd5\u6570\u636e\u9884\u5904\u7406\u5fc5\u987b\u9694\u79bb&#xff09; \u26a0\ufe0f \u6a21\u578b\u7cbe\u5ea6\u2260\u4e1a\u52a1\u4ef7\u503c&#xff08;\u9700\u6784\u5efa\u4e1a\u52a1\u6307\u6807\u6620\u5c04&#xff09; \u26a0\ufe0f \u6301\u7eed\u9a8c\u8bc1\u6570\u636e\u7ba1\u9053&#xff08;\u6bd4\u9a8c\u8bc1\u6a21\u578b\u66f4\u91cd\u8981&#xff09;<\/p>\n<h2>\u7cbe\u9009\u6587\u7ae0<\/h2>\n<p>10\u4ebf\u6761\u6570\u636e\u7edf\u8ba1\u6307\u6807\u9a8c\u8bc1\u7b56\u7565&#xff1a;\u8f6f\u4ef6\u6d4b\u8bd5\u4ece\u4e1a\u8005\u7684\u5b9e\u6218\u6307\u5357<\/p>\n<p>\u7f16\u5199\u9ad8\u6548Gherkin\u811a\u672c\u7684\u4e94\u5927\u6838\u5fc3\u6cd5\u5219<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u7b2c\u4e00\u7ae0 \u6d4b\u8bd5\u601d\u7ef4\u906d\u9047\u7b97\u6cd5\u9ed1\u7bb1&#xff08;\u7b2c1-30\u5929&#xff09;<br \/>\n\u6280\u672f\u51b2\u7a81\u573a\u666f \u9ed1\u76d2\u56f0\u5883&#xff1a;\u9762\u5bf9\u968f\u673a\u68ee\u6797\u7684\u9884\u6d4b\u7ed3\u679c&#xff0c;\u4e60\u60ef\u6027\u6267\u884c\u7b49\u4ef7\u7c7b\u5212\u5206\u5374\u5931\u6548&#xff08;\u7279\u5f81\u7ef4\u5ea6\u9ad8\u8fbe287\u4e2a&#xff09;  \u9a8c\u8bc1\u5371\u673a- \u4f20\u7edf\u65ad\u8a00\u65b9\u6cd5\u5728\u6a21\u578b\u8bc4\u4f30\u4e2d\u5168\u9762\u5d29\u76d8&#xff1a; # \u6d4b\u8bd5\u5de5\u7a0b\u5e08\u7684\u601d\u7ef4\u5b9a\u5f0f vs \u5b9e\u9645\u9700\u6c42<br \/>\nassert accuracy_score  1.0 # \u7406\u60f3\u5316\u65ad\u8a00 \u2192 \u5b9e\u9645\u9700\u63a5\u53d7ROC-AUC\u9608\u503c   \u73af\u5883\u5730\u72f1&#xff1a;\u5728\u642d\u5efaTe<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[1460,50,207,5291,427,44,4403],"topic":[],"class_list":["post-63173","post","type-post","status-publish","format-standard","hentry","category-server","tag-opencv","tag-50","tag-207","tag-5291","tag-427","tag-44","tag-4403"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.3 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>\u4ece\u632b\u6298\u5230\u6210\u529f\uff1a\u6211\u7684\u673a\u5668\u5b66\u4e60\u8f6c\u578b\u65e5\u8bb0 - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.wsisp.com\/helps\/63173.html\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u4ece\u632b\u6298\u5230\u6210\u529f\uff1a\u6211\u7684\u673a\u5668\u5b66\u4e60\u8f6c\u578b\u65e5\u8bb0 - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3\" \/>\n<meta property=\"og:description\" content=\"\u7b2c\u4e00\u7ae0 \u6d4b\u8bd5\u601d\u7ef4\u906d\u9047\u7b97\u6cd5\u9ed1\u7bb1&#xff08;\u7b2c1-30\u5929&#xff09; 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