{"id":61815,"date":"2021-07-27T16:15:44","date_gmt":"2021-07-27T15:15:44","guid":{"rendered":"https:\/\/www.artefact.com\/?post_type=news&p=61815"},"modified":"2024-09-20T17:45:46","modified_gmt":"2024-09-20T16:45:46","slug":"including-ethics-best-practices-in-your-data-science-project-from-day-one","status":"publish","type":"blog","link":"https:\/\/www.artefact.com\/zh\/blog\/including-ethics-best-practices-in-your-data-science-project-from-day-one\/","title":{"rendered":"\u4ece\u7b2c\u4e00\u5929\u8d77\u5c31\u5728 Data \u79d1\u5b66\u9879\u76ee\u4e2d\u7eb3\u5165\u9053\u5fb7\u89c4\u8303\u6700\u4f73\u5b9e\u8df5"},"content":{"rendered":"

\u4f5c\u8005<\/h2><\/div>\"Image\"

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\u4ee3\u8868\u6027\u504f\u89c1<\/h3><\/div>

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<\/span><\/div>

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\n\u5fc5\u987b\u5c06\u8c03\u67e5\u7ed3\u679c\u548c\u6574\u4e2a data \u6536\u96c6\u8fc7\u7a0b\u8bb0\u5f55\u5728\u6848\u3002.<\/p>\n<\/div>

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\n\u7531\u4e8e\u76d1\u7763\u5f0f\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u7684\u6838\u5fc3\u662f\u8bad\u7ec3 data\uff0c\u56e0\u6b64\u6a21\u578b\u53ef\u4ee5\u4ece data \u4e2d\u5b66\u4e60\u5176\u884c\u4e3a\uff0c\u800c data \u53ef\u80fd\u4f1a\u56e0\u5305\u542b\u610f\u5916\u7684\u5386\u53f2\u6216\u7edf\u8ba1\u504f\u5dee\u800c\u53d7\u5230\u5f71\u54cd\u3002.\u00a0\u5386\u53f2\u504f\u89c1<\/strong>\u00a0\u5373\u4f7f\u91c7\u6837\u548c\u7279\u5f81\u9009\u62e9\u5b8c\u7f8e\u65e0\u7f3a\uff0cdata \u751f\u6210\u8fc7\u7a0b\u4e2d\u4e5f\u4f1a\u6e17\u5165\u8fd9\u4e9b\u504f\u89c1\u3002\u8fd9\u4e9b\u504f\u89c1\u7684\u6301\u7eed\u5b58\u5728\u53ef\u80fd\u5bfc\u81f4\u5bf9\u67d0\u4e9b\u7fa4\u4f53\u6216\u4e2a\u4eba\u7684\u610f\u5916\u6b67\u89c6\uff0c\u4ece\u800c\u52a0\u5267\u504f\u89c1\u548c\u8fb9\u7f18\u5316\u3002.<\/p>\n<\/div>

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\n\u5728\u672c\u8282\u4e2d\uff0c\u6211\u4eec\u5c06\u901a\u8fc7\u4e00\u4e2a\u793a\u4f8b\u6765\u63a2\u8ba8\u4e00\u4e9b\u8bc6\u522b\u548c\u51cf\u5c11\u9053\u5fb7\u504f\u5dee\u7684\u6280\u672f\u3002\u6211\u4eec\u5c06\u9996\u5148\u9648\u8ff0\u95ee\u9898\uff0c\u7136\u540e\u4e86\u89e3\u5982\u4f55\u8861\u91cf\u504f\u5dee\uff0c\u6700\u540e\u4f7f\u7528\u4e00\u4e9b\u6280\u672f\u6765\u51cf\u5c11\u9884\u5904\u7406\u3001\u5904\u7406\u4e2d\u548c\u5904\u7406\u540e\u7684\u504f\u5dee\u3002.<\/p>\n<\/div>

\u95ee\u9898\u9648\u8ff0<\/h4><\/div>

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\u6d4b\u91cf\u504f\u5dee<\/h4><\/div>

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A \u7279\u6743\u503c<\/strong>\u00a0\u7684\u654f\u611f\u7279\u5f81\u8868\u793a\u4e00\u4e2a\u7fa4\u4f53\u5728\u5386\u53f2\u4e0a\u5177\u6709\u7cfb\u7edf\u6027\u4f18\u52bf\u3002.<\/p>\n<\/div>

A \u987a\u6807<\/strong>\u00a0\u5728 data \u51c6\u5907\u9636\u6bb5\uff0c\u62c6\u5206 data\u3001\u53d6\u6837\u4e0d\u8db3\u6216\u53d6\u6837\u8fc7\u591a\u3001\u5904\u7406\u7f3a\u5931\u503c\u548c\u5f02\u5e38\u503c\u7b49\u6b65\u9aa4\u5982\u679c\u6267\u884c\u4e0d\u614e\uff0c\u53ef\u80fd\u4f1a\u4ea7\u751f\u504f\u5dee\u3002\u5728\u654f\u611f\u7279\u5f81\u4e0a\u5404\u4e9a\u7ec4\u7684\u7f3a\u5931\u503c\u6216\u5f02\u5e38\u503c\u7684\u6bd4\u4f8b\u53ef\u4ee5\u4f5c\u4e3a\u8bc6\u522b\u504f\u5dee\u7684\u7b2c\u4e00\u6b65\u3002\u67d0\u4e9b\u4f30\u7b97\u7b56\u7565\u53ef\u80fd\u4f1a\u5e26\u6765\u7edf\u8ba1\u504f\u5dee\uff0c\u4f8b\u5982\uff0c\u7528\u4e2d\u4f4d\u6570\u4f30\u7b97\u5ba2\u6237\u5e74\u9f84\u7279\u5f81\u7684\u7f3a\u5931\u503c\u3002.<\/p>\n

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<\/span><\/div>

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\u504f\u5dee\u5ea6\u91cf<\/h4><\/div>

\u6709\u5404\u79cd\u5404\u6837\u7684\u516c\u5e73\u6027\u5b9a\u4e49\u548c\u516c\u5e73\u6027\u8861\u91cf\u6807\u51c6\u3002\u6211\u4eec\u53ef\u4ee5\u628a\u516c\u5e73\u6027\u5206\u4e3a\u00a0\u4e2a\u4eba\u516c\u5e73<\/strong>\u00a0\u548c\u00a0\u7fa4\u4f53\u516c\u5e73\u6027<\/strong>. .\u4e2a\u4eba\u516c\u5e73\u5bf9\u76f8\u4f3c\u7684\u4e2a\u4eba\u7ed9\u4e88\u76f8\u4f3c\u7684\u9884\u6d4b\uff0c\u800c\u7fa4\u4f53\u516c\u5e73\u5219\u5bf9\u4e0d\u540c\u7684\u7fa4\u4f53\u4e00\u89c6\u540c\u4ec1\u3002.<\/p>\n

\u4e3a\u4e86\u5b9e\u73b0\u7fa4\u4f53\u516c\u5e73\uff0c\u6211\u4eec\u5e0c\u671b\u65e0\u8bba\u53d7\u4fdd\u62a4\u7684\u4eba\u662f\u8c01\uff0c\u83b7\u5f97\u79ef\u6781\u7ed3\u679c\u7684\u53ef\u80fd\u6027\u90fd\u662f\u4e00\u6837\u7684\uff08\u4f8b\u5982\uff1a \u6211\u4eec\u5e0c\u671b\u53d7\u4fdd\u62a4\u7684\u4eba\u83b7\u5f97\u79ef\u6781\u7ed3\u679c\u7684\u53ef\u80fd\u6027\u662f\u4e00\u6837\u7684\u3001,\u00a0\u5973\u6027<\/em>)\u7ec4\u4e0e\u5426\u3002.
\n\u4e00\u4e2a\u7b80\u5355\u7684\u7fa4\u4f53\u8861\u91cf\u6807\u51c6\u662f\u6bd4\u8f83\u7279\u6743\u7fa4\u4f53\u548c\u975e\u7279\u6743\u7fa4\u4f53\u7684\u6709\u5229\u7ed3\u679c\u767e\u5206\u6bd4\uff08\u5728\u6211\u4eec\u7684\u4f8b\u5b50\u4e2d\uff0c\u662f\u6307\u6027\u522b\u6bd4\u4f8b\uff09\u3002\u00a0\u7537<\/em>\u00a0\u4e0e \u201c\u6709\u8d44\u683c\u83b7\u5f97\u989d\u5916\u4f18\u60e0 \u201d\u7684\u6027\u522b\u76f8\u6bd4\u00a0\u5973\u6027<\/em>\u00a0\u7b26\u5408 \u201c\u9ad8\u7ea7\u4ea4\u6613\u8d44\u683c\u201d\uff09\u3002\u60a8\u53ef\u4ee5\u7528\u4e24\u4e2a\u767e\u5206\u6bd4\u7684\u5dee\u503c\u6765\u8ba1\u7b97\u8fd9\u79cd\u6bd4\u8f83\uff0c\u4ece\u800c\u5f97\u51fa\u00a0\u7edf\u8ba1\u5e73\u5dee<\/strong>\u00a0\u516c\u5236\uff08\u4e5f\u79f0\u00a0\u4eba\u53e3\u5747\u7b49<\/strong>):<\/p>\n<\/div>

<\/span><\/div>

\u8981\u4f7f\u7279\u6743\u7fa4\u4f53\u548c\u975e\u7279\u6743\u7fa4\u4f53\u4e4b\u95f4\u7684\u6709\u5229\u7ed3\u679c\u4e0d\u5b58\u5728\u5dee\u5f02\uff0c\u7edf\u8ba1\u5747\u7b49\u5dee\u5f02\u5e94\u7b49\u4e8e 0\u3002.
\n\u5173\u4e8e\u4e2a\u4eba\u516c\u5e73\u5c3a\u5ea6\u7684\u95ee\u9898\u6709\u00a0\u4e00\u81f4\u6027<\/strong>\u00a0\u5b83\u4f7f\u7528\u8fd1\u90bb\u7b97\u6cd5\u6d4b\u91cf\u76f8\u4f3c\u4e2a\u4f53\u6807\u7b7e\u7684\u76f8\u4f3c\u7a0b\u5ea6\uff1a<\/p>\n<\/div>

<\/span><\/div>

\u6211\u4eec\u4e0d\u4f1a\u91cd\u70b9\u8ba8\u8bba\u8fd9\u4e2a\u95ee\u9898\uff0c\u4f46\u611f\u5174\u8da3\u7684\u8bfb\u8005\u53ef\u4ee5\u67e5\u770b\u4ee5\u4e0b\u5185\u5bb9\u00a0\u6761<\/a>.
\n\u60a8\u53ef\u4ee5\u4f7f\u7528\u4fbf\u6377\u7684\u56fe\u4e66\u9986\u00a0AIF360<\/a>\u00a0\u53ef\u4ee5\u8ba1\u7b97\u8bb8\u591a\u516c\u5e73\u6027\u6307\u6807\u3002.
\n\u60a8\u53ea\u9700\u5c06 dataframe \u5305\u88c5\u5230\u00a0\u6807\u51c6Dataset<\/em>. .AIF360 \u4f7f\u7528\u00a0\u6807\u51c6Dataset<\/em>\u00a0\u5b83\u5c01\u88c5\u4e86\u4e00\u4e2a Pandas DataFrame\uff0c\u5176\u4e2d\u5305\u542b\u8bb8\u591a\u4e13\u95e8\u7528\u4e8e\u5904\u7406\u548c\u6d4b\u91cf\u9053\u5fb7\u504f\u89c1\u7684\u5c5e\u6027\u548c\u65b9\u6cd5\u3002\u7136\u540e\uff0c\u60a8\u53ef\u4ee5\u5c06\u5176\u4f5c\u4e3a\u00a0\u4e8c\u8fdb\u5236\u6807\u7b7e DatasetMetric<\/em> \u7c7b\uff0c\u5b83\u5c06\u8ba1\u7b97\u4e00\u7ec4\u6709\u7528\u7684\u6307\u6807\u3002.<\/p>\n<\/div>

\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
\u53c2\u6570<\/span> =<\/span> <\/td>\n<\/tr>\n
<\/td>\n<\/td>\n<\/tr>\n
<\/td>\n# \u521b\u5efa aif360 \u6807\u51c6 Dataets<\/span><\/td>\n<\/tr>\n
<\/td>\ntrain_standard_dataset<\/span> =<\/span> \u6807\u51c6Dataset<\/span>(df<\/span>=<\/span>train_dataframe<\/span>,<\/td>\n<\/tr>\n
<\/td>\n**<\/span>\u53c2\u6570<\/span>)<\/td>\n<\/tr>\n
<\/td>\n<\/td>\n<\/tr>\n
<\/td>\n\u7279\u6743\u7ec4<\/span> =<\/span> []<\/td>\n<\/tr>\n
<\/td>\n\u975e\u7279\u6743\u7ec4<\/span> =<\/span> []<\/td>\n<\/tr>\n
<\/td>\n<\/td>\n<\/tr>\n
<\/td>\n\u706b\u8f66<\/span> =<\/span> \u4e8c\u8fdb\u5236\u6807\u7b7e DatasetMetric<\/span>(train_standard_dataset<\/span>,<\/td>\n<\/tr>\n
<\/td>\n\u975e\u7279\u6743\u7ec4<\/span>=<\/span>\u975e\u7279\u6743\u7ec4<\/span>,<\/td>\n<\/tr>\n
<\/td>\n\u7279\u6743\u7ec4<\/span>=<\/span>\u7279\u6743\u7ec4<\/span>)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>

\u5728\u6211\u4eec\u7684\u8bc4\u5206\u793a\u4f8b\u8bad\u7ec3 data \u4e2d\u8fdb\u884c\u6d4b\u91cf\u540e\uff0c\u6211\u4eec\u53d1\u73b0\u5e73\u5747\u7edf\u8ba1\u5e73\u4ef7\u5dee\u5f02\u4e3a -0.21\uff0c\u8fd9\u8868\u660e\u7279\u6743\u7ec4\u00a0\u7537<\/em>\u00a0\u5728\u8bad\u7ec3\u96c6 data \u4e2d\uff0c\u6709 21% \u66f4\u79ef\u6781\u7684\u7ed3\u679c\u3002.<\/p>\n<\/div>

\u51cf\u5c11\u504f\u5dee<\/h4><\/div>

\u9488\u5bf9\u7b97\u6cd5\u504f\u5dee\u7684\u65b9\u6cd5\u901a\u5e38\u5206\u4e3a\u4e09\u7c7b\uff1a<\/p>\n<\/div>