{"id":39333,"date":"2022-12-20T22:08:20","date_gmt":"2022-12-20T14:08:20","guid":{"rendered":"https:\/\/swarma.org\/?p=39333"},"modified":"2022-12-20T22:08:20","modified_gmt":"2022-12-20T14:08:20","slug":"causalml-%e5%9f%ba%e4%ba%8epython%e7%9a%84%e5%9b%a0%e6%9e%9c%e5%ad%a6%e4%b9%a0%e5%bc%80%e6%ba%90%e9%a1%b9%e7%9b%ae","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=39333","title":{"rendered":"CausalML: \u57fa\u4e8ePython\u7684\u56e0\u679c\u5b66\u4e60\u5f00\u6e90\u9879\u76ee"},"content":{"rendered":"
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Uplift\u6a21\u578b\u662f\u56e0\u679c\u5b66\u4e60\u4e2d\u7684\u91cd\u8981\u65b9\u6cd5\uff0c\u5728\u4e1a\u754c\u6709\u7740\u4e30\u5bcc\u7684\u5e94\u7528\u573a\u666f\u3002\u65e9\u57282018\u5e74\uff0cUber\u7684\u6570\u636e\u79d1\u5b66\u56e2\u961f\u9762\u4e34\u9700\u8981Uplift\u6a21\u578b\u89e3\u51b3\u7684\u95ee\u9898\uff0c\u5728\u6ca1\u6709\u627e\u5230\u5408\u9002\u7684\u5f00\u6e90\u5de5\u5177\u5305\u7684\u60c5\u51b5\u4e0b\uff0c\u5f00\u53d1\u4e86CausalML\uff0c\u968f\u540e\u4f5c\u4e3a\u5f00\u6e90\u9879\u76ee\u63d0\u4f9b\u7ed9\u66f4\u5e7f\u6cdb\u7684\u793e\u533a\u4f7f\u7528\uff0c\u4e5f\u5438\u5f15\u6765\u66f4\u591a\u7684\u5f00\u53d1\u8005\u5b8c\u5584\u4e86\u8fd9\u4e2a\u5de5\u5177\u5305\u3002\u76ee\u524d\uff0cCausalML\u5df2\u6709\u8d85\u8fc780\u4e07\u7684\u4e0b\u8f7d\u91cf\uff0c\u5f00\u6e90\u9879\u76ee\u7ec4\u4e5f\u5728\u6301\u7eed\u7ef4\u62a4\u548c\u5347\u7ea7\u8fd9\u4e2a\u5de5\u5177\u5305\u3002<\/strong>2022\u5e741\u6708\uff0c\u7531\u667a\u6e90\u793e\u533a\u3001\u96c6\u667a\u4ff1\u4e50\u90e8\u8054\u5408\u4e3e\u529e\u7684<\/strong>\u56e0\u679c\u79d1\u5b66\u4e0eCausal AI\u8bfb\u4e66\u4f1a\u7b2c\u4e09\u5b63<\/strong><\/a>\u9080\u8bf7\u5230CausalML\u521b\u59cb\u56e2\u961f\u7684\u8d75\u632f\u5b87\uff0c\u4e3a\u6211\u4eec\u4ecb\u7ecdCausalML\u4f5c\u4e3a\u4e00\u4e2a\u57fa\u4e8ePython\u7684\u5f00\u6e90\u9879\u76ee\u7684\u53d1\u5c55\u5386\u7a0b\uff0c\u6838\u5fc3\u65b9\u6cd5\uff0c\u4ee5\u53ca\u5e94\u7528\u573a\u666f\u3002\u672c\u6587\u662f\u6839\u636e\u6b64\u6b21\u8bfb\u4e66\u4f1a\u6574\u7406\u7684\u6587\u5b57\u7a3f\u3002<\/span><\/strong><\/span><\/strong><\/strong><\/p>\n

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\u201c\u56e0\u679c\u79d1\u5b66\u201d\u8bfb\u4e66\u4f1a\u7b2c\u56db\u5b63<\/strong><\/a>\u76ee\u524d\u5df2\u7ecf\u542f\u52a8\u3002\u8bfb\u4e66\u4f1a\u4ee5\u201c\u56e0\u679c\u8868\u5f81\u5b66\u4e60\u201d\u4e3a\u4e3b\u9898\uff0c\u805a\u7126\u56e0\u679c\u79d1\u5b66\u76f8\u5173\u95ee\u9898\uff0c\u5171\u5b66\u5171\u7814\u76f8\u5173\u6587\u732e\uff0c\u81ea2022\u5e7412\u670827\u65e5\u5f00\u59cb\uff0c\u6bcf\u5468\u516d\u665a20:00\u7ebf\u4e0a\u4e3e\u884c\uff0c\u4e3a\u671f\u5341\u5468<\/strong><\/strong>\u3002\u6b22\u8fce\u4ece\u4e8b\u56e0\u679c\u79d1\u5b66\u3001\u4eba\u5de5\u667a\u80fd\u4e0e\u590d\u6742\u7cfb\u7edf\u7b49\u76f8\u5173\u7814\u7a76\u9886\u57df\uff0c\u6216\u5bf9\u56e0\u679c\u8868\u5f81\u5b66\u4e60\u7684\u7406\u8bba\u4e0e\u5e94\u7528\u611f\u5174\u8da3\u7684\u5404\u754c\u670b\u53cb\u62a5\u540d\u53c2\u4e0e\u3002<\/strong><\/strong><\/strong><\/p>\n

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\u7814\u7a76\u9886\u57df\uff1a\u56e0\u679c\u5b66\u4e60\uff0c\u673a\u5668\u5b66\u4e60<\/strong><\/strong><\/span><\/strong><\/span><\/strong><\/span><\/strong><\/strong><\/span><\/strong><\/span><\/strong><\/span><\/strong><\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

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\u8d75\u632f\u5b87<\/span> <\/span>| \u8bb2\u8005<\/strong><\/span><\/strong><\/p>\n

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1. CausalML\u7b80\u4ecb<\/span><\/strong><\/strong><\/p>\n<\/section>\n

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\u5728\u4e92\u8054\u7f51\u5e73\u53f0\u4e2d\uff0c\u5982\u679c\u51fa\u73b0\u4e86\u6210\u89c4\u6a21\u7684\u7528\u6237\u6d41\u5931\uff0c\u5e02\u573a\u8425\u9500\u90e8\u95e8\u5e38\u5e38\u91c7\u7528\u53d1\u653e\u4ee3\u91d1\u5238\u7684\u65b9\u5f0f\u6765\u53ec\u56de\u6d41\u5931\u7528\u6237\u3002\u90a3\u4e48\u5411\u54ea\u4e9b\u7528\u6237\u6295\u653e\u4ee3\u91d1\u5238\u6548\u679c\u6700\u597d\u5462\uff1f\u5728\u6570\u636e\u79d1\u5b66\u65f6\u4ee3\uff0c\u4e00\u4e2a\u5f88\u5e38\u89c1\u7684\u601d\u8def\u662f\u91c7\u7528\u673a\u5668\u5b66\u4e60\u65b9\u6cd5\u6765\u5bf9\u7528\u6237\u5efa\u6a21\uff0c\u9884\u6d4b\u54ea\u4e9b\u7528\u6237\u6700\u6709\u53ef\u80fd\u56de\u6d41\uff0c\u7136\u540e\u8fdb\u884c\u5b9a\u5411\u6295\u653e\u3002\u4f46\u6709\u65f6\u5019\u5b9e\u9645\u7ed3\u679c\u8868\u660e\uff0c\u8fd9\u79cd\u57fa\u4e8e\u6a21\u578b\u7684\u6295\u653e\u7ec4\u6548\u679c\u4f1a\u4e0d\u5982\u968f\u673a\u6295\u653e\u7ec4\u3002<\/span><\/p>\n


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\u56fe\u8868 1\uff1a\u4ee3\u91d1\u5238\u6295\u653e\u5bf9\u7167\u5b9e\u9a8c<\/span><\/p>\n


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\u4ece\u56fe1\u4e2d\u53ef\u4ee5\u770b\u5230\u6295\u653e\u662f\u6709\u6548\u679c\u7684\uff0c\u9884\u6d4b\u4e5f\u662f\u51c6\u786e\u7684\uff0c\u90a3\u4e48\u4e3a\u4ec0\u4e48\u57fa\u4e8e\u6a21\u578b\u7684\u6295\u653e\u7ec4\u6548\u679c\u53cd\u800c\u4e0d\u5982\u968f\u673a\u6295\u653e\u5462\uff1f\u539f\u56e0\u5176\u5b9e\u5f88\u7b80\u5355\uff0c\u81ea\u7136\u56de\u6d41\u6982\u7387\u9ad8\u7684\u7528\u6237\uff0c\u4e0d\u7ba1\u662f\u5426\u6709\u4ee3\u91d1\u5238\uff0c\u90fd\u4f1a\u56de\u6765\u3002\u5c06\u4ee3\u91d1\u5238\u53d1\u7ed9\u5fc5\u5b9a\u4f1a\u56de\u6765\u7684\u7528\u6237\uff0c\u5e76\u4e0d\u80fd\u4ea7\u751f\u589e\u76ca\u3002\u4e3a\u4e86\u89e3\u51b3\u8fd9\u4e00\u95ee\u9898\uff0c\u6211\u4eec\u9700\u8981\u5c06\u73b0\u6709\u7684\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u4e0e\u56e0\u679c\u63a8\u65ad\u76f8\u7ed3\u5408\u3002\u672c\u6587\u8981\u4ecb\u7ecd\u7684CausalML\u5c31\u662f\u89e3\u51b3\u8fd9\u4e00\u95ee\u9898\u7684\u6709\u529b\u5de5\u5177\u3002<\/span><\/p>\n


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CausalML\u662f\u4e00\u4e2a\u57fa\u4e8ePython\u7684\u56e0\u679c\u5b66\u4e60\u5f00\u6e90\u9879\u76ee\u3002\u6700\u65e9\u4e3aUber\u9879\u76ee\u5b9a\u5236\u3001\u5185\u90e8\u5f00\u6e90\uff0c\u800c\u540e\u6b63\u5f0f\u6210\u4e3a\u5f00\u6e90\u9879\u76ee\u3002\u5176\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u6a21\u578b\u9009\u62e9\uff0c\u4f8b\u5982\u5e38\u7528\u7684Meta-Learner\u548c\u56e0\u679c\u6811\u6a21\u578b\uff0c\u65b9\u4fbf\u5728\u5b9e\u8df5\u4e2d\u4f5c\u5bf9\u6bd4\u548c\u9009\u62e9\u3002\u540c\u65f6\u8fd8\u63d0\u4f9b\u4f8b\u5982\u6a21\u62df\u6570\u636e\u751f\u6210\u3001\u6a21\u578b\u53ef\u89c6\u5316\u3001\u6a21\u578b\u8bc4\u4f30\u7b49\u4e00\u7cfb\u5217\u914d\u5957\u5de5\u5177\u3002\u5176\u76ee\u6807\u662f\u7528\u4e8e\u89e3\u51b3\u4e1a\u52a1\u5b9e\u8df5\u95ee\u9898\uff0c\u5c24\u5176\u662f\u5728\u8ba1\u7b97\u901f\u5ea6\u548c\u6570\u636e\u89c4\u6a21\u65b9\u9762\u80fd\u591f\u8fbe\u5230\u4e1a\u754c\u6807\u51c6\u5e76\u6301\u7eed\u4f18\u5316\u3002<\/span><\/p>\n


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\u56fe\u8868 2\uff1aCausalML\u56fe\u793a<\/span><\/p>\n


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2. Uplift\u6a21\u578b\u4e0e\u4e3b\u8981\u65b9\u6cd5\u4ecb\u7ecd<\/span><\/strong><\/strong><\/p>\n<\/section>\n

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\u5728\u4ecb\u7ecd\u5177\u4f53\u4e3b\u8981\u6a21\u5757\u4e4b\u524d\uff0c\u6211\u4eec\u5148\u6765\u4ecb\u7ecd\u4e00\u4e0b\u76f8\u5173\u80cc\u666f\u3002\u548c\u524d\u9762\u4ee3\u91d1\u5238\u7684\u4f8b\u5b50\u7c7b\u4f3c\uff0c\u5728\u5e7f\u544a\u8425\u9500\u4e2d\uff0c\u6211\u4eec\u53ef\u4ee5\u6839\u636e\u6709\u65e0\u6295\u9012\u5e7f\u544a\u548c\u662f\u5426\u8d2d\u4e70\u4ea7\u54c1\u6765\u5c06\u7528\u6237\u5212\u5206\u6210\u56db\u7c7b<\/span>\uff08\u89c1\u56fe\u56db\uff09<\/span>\uff1a\u603b\u662f\u8d2d\u4e70\u3001\u529d\u9000\u7528\u6237\u3001\u7b56\u7565\u63d0\u5347\u7528\u6237\u548c\u603b\u4e0d\u8d2d\u4e70\u3002<\/span><\/p>\n


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\u56fe\u8868 4\uff1a\u5e7f\u544a\u8425\u9500\u5f71\u54cd\u7684\u56db\u7c7b\u7528\u6237<\/span><\/p>\n


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\u5982\u679c\u6211\u4eec\u5c06\u6ca1\u88ab\u6295\u653e\u5e7f\u544a\u7684\u7528\u6237\u8bbe\u4e3a\u5bf9\u7167\u7ec4\uff0c\u5c06\u88ab\u6295\u653e\u5e7f\u544a\u7684\u7528\u6237\u8bbe\u4e3a\u5b9e\u9a8c\u7ec4\u3002\u4ece\u6574\u4f53\u4e0a\u6765\u8bc4\u4f30\uff0c\u5e7f\u544a\u5bf9\u8d2d\u4e70\u7387\u7684\u63d0\u5347\u6548\u679c = \u5b9e\u9a8c\u7ec4\u8d2d\u4e70\u7387 \u2013 \u5bf9\u7167\u7ec4\u8d2d\u4e70\u7387\uff0c\u8fd9\u5b9e\u9645\u4e0a\u662f\u56e0\u679c\u63a8\u65ad\u4e2d\u7684ATE <\/span>(Average Treatment Effect)<\/span>\u3002\u901a\u8fc7\u4ee3\u91d1\u5238\u53d1\u653e\u7684\u4f8b\u5b50\uff0c\u6211\u4eec\u77e5\u9053\u8fd9\u79cd\u8bc4\u4f30\u65b9\u5f0f\u662f\u6709\u8bef\u5dee\u7684\u3002\u4f5c\u4e3a\u6539\u8fdb\uff0c\u6211\u4eec\u9700\u8981\u4ece\u4e2a\u4f53\u89d2\u5ea6\u6765\u8bc4\u4f30\u6548\u679c\uff0c\u4e3a\u6b64\u5c31\u5f15\u5165\u4e86HTE<\/span> (Heterogeneous Treatment Effect) <\/span>\u7684\u6982\u5ff5\u3002\u7b80\u5355\u6765\u8bf4\uff0c\u76f8\u6bd4\u4e8eATE\uff0cHTE\u662f\u4e00\u4e2a\u66f4\u4e13\u6ce8\u4e8e\u4e2a\u4f53\u5dee\u5f02\u5316\u6548\u679c\u7684\u6307\u6807\u3002\u5177\u4f53\u5b9a\u4e49\u89c1\u4e0b\u56fe\uff1a<\/span><\/p>\n


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\u56fe\u8868 5\uff1aHTE<\/span><\/p>\n


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\u56e0\u4e3aITE\u662f\u4e0d\u80fd\u591f\u901a\u8fc7\u89c2\u6d4b\u5f97\u5230\u7684\uff0c\u6240\u4ee5\u6211\u4eec\u91c7\u7528CATE <\/span>(Conditional ATE) <\/span>\u4f5c\u4e3a\u5b9e\u9645\u7684\u6307\u6807\uff1a\u5e7f\u544a\u5bf9\u7528\u6237i\u7684\u6548\u679c = E[Y|Treatment, Xi] – E[Y|Control, Xi]\u3002Xi\u8868\u793a\u7528\u6237i\u6240\u5177\u6709\u7684\u76f8\u5173\u7279\u5f81\u3002\u8fd9\u5c31\u662fUplift\u6a21\u578b\u7684\u6838\u5fc3\u601d\u60f3\u3002\u6709\u4e86CATE\u7684\u6982\u5ff5\uff0c\u63a5\u4e0b\u6765\u8981\u505a\u7684\u5c31\u662f\u8be5\u5982\u4f55\u4f30\u8ba1CATE\u3002\u5e38\u89c1\u7684\u65b9\u6cd5\u6709Meta-learners\u548cUplift\u6811\u6a21\u578b\u4e24\u79cd\u3002<\/span><\/p>\n


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Meta-learners\u7684\u57fa\u672c\u60f3\u6cd5\u662f\u7ec4\u5408\u65e2\u6709\u7684\u4f20\u7edf\u673a\u5668\u5b66\u4e60\u6a21\u578b\u3002\u9996\u5148\u5b9a\u4e49\u4e00\u4e2abase learner\uff0c\u4e00\u822c\u5c31\u662f\u4e00\u4e2a\u4f20\u7edf\u7684\u673a\u5668\u5b66\u4e60\u6a21\u578b\uff0c\u4efb\u4f55\u4e00\u4e2a\u7ed9\u5b9aX\u53ef\u4ee5\u9884\u6d4bY\u7684\u6a21\u578b\u90fd\u53ef\u4ee5\u3002\u7136\u540e\u91c7\u7528\u4e0d\u540c\u7684\u6df7\u5408\u65b9\u5f0f\uff0c\u6bd4\u5982S Learner\uff0cT Learner\uff0cX Learner\uff0cR learner\u3002[1][2]\u89c1\u4e0b\u56fe\uff1a<\/span><\/p>\n


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\u56fe\u8868 6\uff1aMeta-learners<\/span><\/p>\n


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Uplift\u6811\u6a21\u578b\u7684\u57fa\u672c\u60f3\u6cd5\u662f\u901a\u8fc7\u6539\u53d8\u6811\u6a21\u578b\u7684\u635f\u5931\u51fd\u6570\u6765\u4f30\u8ba1CATE<\/span>\uff08\u89c1\u56fe7\uff09<\/span>\u3002\u4e0e\u4f20\u7edf\u5206\u7c7b\u6811\u7684\u533a\u522b\u5982\u4e0b\uff1a<\/span><\/p>\n


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\u56fe\u8868 7\uff1aUplift\u56fe\u793a<\/span><\/p>\n


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\u4f7f\u7528Uplift\u6a21\u578b\u5b9a\u4f4d\u201c\u7b56\u7565\u63d0\u5347\u7528\u6237\u201d\u53ef\u4ee5\u5206\u6210\u4e09\u4e2a\u6b65\u9aa4\uff1a<\/span><\/p>\n

1. \u6570\u636e\u6536\u96c6\u5b9e\u9a8c\uff1a<\/span>\u76ee\u6807\u662f\u4e3aUplift\u6a21\u578b\u6536\u96c6\u8bad\u7ec3\u6570\u636e\u3002<\/span>\u7ed9\u5bf9\u7167\u7ec4\u6240\u6709\u7528\u6237\u4e0d\u53d1\u4fc3\u9500\uff0c\u7ed9\u5b9e\u9a8c\u7ec4\u6240\u6709\u7528\u6237\u53d1\u4fc3\u9500\u3002<\/span><\/p>\n

2. \u8bad\u7ec3Uplift\u6a21\u578b\uff1a<\/span>\u6536\u96c6\u5b9e\u9a8c\u6570\u636e\u548c\u7528\u6237\u7279\u5f81\uff0c\u8bad\u7ec3Uplift\u6a21\u578b\u3002<\/span>\u8bad\u7ec3\u5b8c\u6210\u7684Uplift\u6a21\u578b\u53ef\u4ee5\u6839\u636e\u7528\u6237\u7279\u5f81X\uff0c\u4f30\u8ba1\u5b9e\u9a8c\u6548\u679cCATE\u3002<\/span><\/p>\n

3. \u9a8c\u8bc1\u6a21\u578b\u6548\u679c\u5b9e\u9a8c\uff1a<\/span>\u8bbe\u7f6e\u5bf9\u7167\u7ec4\u4e3a\u65e0\u4fc3\u9500\uff0c\u8bbe\u7f6e\u4e24\u4e2a\u5b9e\u9a8c\u7ec4\uff0c\u5b9e\u9a8c\u7ec41\u4e3a\u968f\u673a\u9009\u53d610%\u7528\u6237\u53d1\u4fc3\u9500\uff0c\u5b9e\u9a8c\u7ec42\u4f4d\u6839\u636eUplift\u6a21\u578b\u9884\u6d4b\uff0c\u9009\u53d6\u9884\u4f30\u5b9e\u9a8c\u6548\u679c\u5728top10%\u7684\u7528\u6237\u53d1\u4fc3\u9500\u3002<\/span><\/p>\n


<\/p>\n

\u6839\u636e\u4ee5\u4e0a\u6b65\u9aa4\uff0c\u5728\u5e7f\u544a\u8425\u9500\u7684\u573a\u666f\u4e2d\uff0c\u6700\u4f18\u7b56\u7565\u662f\u4f7f\u7528Uplift\u6a21\u578b\u5b9a\u4f4d\u7b56\u7565\u63d0\u5347\u7528\u6237\u7fa4<\/span>\uff08\u6295\u653e\u6548\u679c\u4e3a\u6b63\u5411\uff09<\/span>\uff0c\u5e76\u9488\u5bf9\u8fd9\u90e8\u5206\u7528\u6237\u8fdb\u884c\u6295\u653e\u3002\u8fd9\u4e00\u7b56\u7565\u548c\u76f4\u63a5\u4f7f\u7528\u673a\u5668\u5b66\u4e60\u6a21\u578b\u7684\u4e0d\u540c\u89c1\u4e0b\u56fe\uff1a<\/span><\/p>\n


<\/span><\/p>\n

<\/p>\n

\u56fe\u8868 8\uff1aUplift\u6a21\u578b vs \u673a\u5668\u5b66\u4e60\u6a21\u578b<\/span><\/p>\n


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3. CausalML\u4e2d\u7684\u5b9a\u5236\u65b9\u6cd5<\/span><\/strong><\/strong><\/p>\n<\/section>\n

\n

<\/section>\n

<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/h3>\n


<\/p>\n

\u8fd9\u4e00\u90e8\u5206\u6211\u4eec\u6765\u4ecb\u7ecdCausalML\u4e2d\u7279\u6709\u7684\u65b9\u6cd5\u3002\u9996\u5148\u662f\u7279\u5f81\u9009\u62e9\u95ee\u9898\uff1a\u5f53\u5019\u9009\u7279\u5f81\u8fc7\u591a\u7684\u65f6\u5019\uff0c\u4f7f\u7528\u5168\u90e8\u7279\u5f81\u5efa\u6a21\u4f1a\u9020\u6210\u6a21\u578b\u8fc7\u62df\u5408\u3002\u6839\u636e<\/span>[Radcliffe & Surry 2011]<\/span>\uff0c\u76ee\u6807\u662fHTE\u7684Uplift\u6a21\u578b\u76f8\u6bd4\u4e8e\u76f4\u63a5\u4f30\u8ba1Y\u7684\u4f20\u7edf\u6a21\u578b\u66f4\u5bb9\u6613\u8fc7\u62df\u5408\u3002\u5bf9\u7279\u5f81\u8fdb\u884c\u7b5b\u9009\u53ef\u4ee5\u63d0\u9ad8\u6a21\u578b\u7684\u51c6\u786e\u6027\uff0c\u540c\u65f6\u964d\u4f4e\u7ebf\u4e0a\u6570\u636e\u7ba1\u7406\u6210\u672c\u3002\u800c\u4f20\u7edf\u7684\u7279\u5f81\u9009\u62e9\u65b9\u6cd5\u9488\u5bf9\u7684\u662f\u5bf9Y\u6709\u9884\u6d4b\u6027\u7684\u7279\u5f81\uff0c\u800c\u975eHTE\u3002\u6240\u4ee5\u6211\u4eec\u8bbe\u8ba1\u4e86\u4e24\u79cd\u65b0\u65b9\u6cd5\uff1a\u4e00\u662f\u4e0e\u6a21\u578b\u65e0\u5173\u7684Filter Method<\/span>\uff08\u56fe9\uff09<\/span>\uff0c\u901a\u8fc7\u8ba1\u7b97\u5355\u4e2a\u7279\u5f81\u5206\u6570\u7684\u65b9\u5f0f\u53cd\u5e94\u7279\u5f81\u5bf9HTE\u7684\u5173\u8054\u3002\u4e8c\u662fEmbedded Method\uff0c\u5728\u6a21\u578b\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\uff0c\u8ba1\u7b97\u5404\u4e2a\u7279\u5f81\u5bf9\u6a21\u578b\u76ee\u6807\u51fd\u6570\u7684\u8d21\u732e\u503c<\/span>\uff08\u56fe10\uff09<\/span>\u3002[4]<\/span><\/p>\n

<\/p>\n

\u56fe\u8868 9\uff1aFilter Method<\/span><\/p>\n


<\/span><\/p>\n

<\/p>\n

\u56fe\u8868 10\uff1aEmbedded Method<\/span><\/p>\n


<\/p>\n

\u6709\u4e9b\u573a\u666f\u4e0b\uff0c\u5b58\u5728\u591a\u4e2a\u5b9e\u9a8c\u7ec4\uff0c\u4e14\u4e0d\u540c\u7684\u5b9e\u9a8c\u7ec4\u6210\u672c\u4e0d\u76f8\u540c\u3002\u4f8b\u5982\uff1a<\/span><\/p>\n


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<\/p>\n

\u6211\u4eec\u4f1a\u5e0c\u671b\u5728\u4f18\u5316\u8f6c\u5316\u7387\u7684\u540c\u65f6\uff0c\u4e5f\u8003\u8651\u6210\u672c\uff1a\u5c069\u6298\u4f18\u60e0\u5238\u53d1\u7ed9\u5bf9\u4e8e9\u6298\u5b9e\u9a8c\u6548\u679c\u654f\u611f\u7684\u7528\u6237\uff0c\u5c068\u6298\u4f18\u60e0\u5238\u53d1\u7ed9\u53ea\u5bf98\u6298\u5b9e\u9a8c\u6548\u679c\u654f\u611f\u7684\u7528\u6237\u3002\u5bf9\u4e8e\u8fd9\u79cd\u573a\u666f\uff0cCausalML\u4e5f\u63d0\u4f9b\u4e86\u5bf9\u5e94\u7684\u4ef7\u503c\u4f18\u5316\u65b9\u6cd5\u3002\u65b9\u6cd5\u7684\u60f3\u6cd5\u662f\u8003\u8651\u6210\u672c\uff0c\u5c06\u6210\u672c\u8ba1\u5165CATE\u4e2d\uff0c\u7528\u57fa\u4e8eX Learner\u7684\u65b9\u6cd5\uff0c\u5728\u591a\u4e2a\u5b9e\u9a8c\u7ec4\u5e76\u5b58\u7684\u60c5\u51b5\u4e0b\u5c1d\u8bd5\u5c06\u6700\u4f18\u7684\u5b9e\u9a8c\u7ec4\u6311\u51fa\u6765\u3002[5]<\/span><\/p>\n


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<\/svg><\/section>\n<\/section>\n<\/section>\n
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4. \u5b9e\u64cd\u6f14\u793a\u4e0e\u5e94\u7528\u573a\u666f<\/span><\/strong><\/strong><\/p>\n<\/section>\n

\n

<\/section>\n

<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/h3>\n


<\/p>\n

\u53ea\u9700\u8981\u5728\u547d\u4ee4\u884c\u754c\u9762\u8f93\u5165pip install causalml\u5c31\u53ef\u4ee5\u5b8c\u6210\u4e0b\u8f7d\u3002Causal\u5f00\u6e90\u4e86\u4e30\u5bcc\u7684\u5b9e\u64cd\u6f14\u793a\u3002\u5305\u62ec\u4e0d\u9650\u4e8e\u6570\u636e\u751f\u6210\u3001CATE\u4f30\u8ba1\uff0cUplift\u66f2\u7ebf\u53ef\u89c6\u5316\uff0c\u4ef7\u503c\u4f18\u5316\u6a21\u578b\u3001\u503e\u5411\u503c\u5339\u914d\u65b9\u6cd5\u3002<\/span><\/p>\n


<\/p>\n

CausalML\u7684\u5e94\u7528\u573a\u666f\u53ef\u4ee5\u5f52\u7ed3\u5982\u4e0b\u4e09\u4e2a\u65b9\u5411\uff1a<\/span><\/p>\n

1. \u7528\u6237\u5b9a\u5411\u3002<\/span>\u5b9a\u4f4d\u5bf9\u6295\u653e\u6b63\u5411\u654f\u611f\u7528\u6237\u7fa4\uff0c\u4ece\u800c\u4f18\u5316\u6295\u5165\u4ea7\u51fa\u6bd4\u3002<\/span>\u9664\u4e86\u6211\u4eec\u524d\u9762\u4ecb\u7ecd\u8fc7\u7684\u5e7f\u544a\u6295\u653e\uff0c\u8fd8\u53ef\u4ee5\u5e94\u7528\u4e8e\u5ba2\u670d\u4e2d\u5fc3\u7535\u8bdd\u8054\u7cfb\u6f5c\u5728\u7528\u6237\u3001APP\u4fe1\u606f\u63a8\u9001\u9891\u7387\u7b49\u573a\u666f\u3002<\/span><\/p>\n

2. \u4e2a\u6027\u5316\u63a8\u8350\u3002<\/span>\u6839\u636e\u7528\u6237\u504f\u597d\uff0c\u63d0\u4f9b\u4e2a\u6027\u5316\u4f53\u9a8c\u3002<\/span>\u4ee5Netflix\u7684\u573a\u666f\u4e3a\u4f8b\uff0c\u6211\u4eec\u53ef\u4ee5\u5148\u7528A\/B\u6d4b\u8bd5\u5f97\u5230\u7684ATE\u6765\u9009\u53d6\u5168\u5c40\u6700\u4f18\u5c01\u9762\uff0c\u518d\u6839\u636eHTE\u9009\u53d6\u533a\u57df\u6700\u4f18\u5c01\u9762\u3002<\/span><\/p>\n