{"id":475,"date":"2021-08-26T16:01:49","date_gmt":"2021-08-26T08:01:49","guid":{"rendered":"https:\/\/aif.amtbbs.org\/?p=475"},"modified":"2021-08-26T16:01:49","modified_gmt":"2021-08-26T08:01:49","slug":"%e9%80%89%e6%8b%a9%e6%9c%ba%e5%99%a8%e5%ad%a6%e4%b9%a0%e6%a8%a1%e5%9e%8b%ef%bc%8c%e8%a6%81%e6%b3%a8%e6%84%8f%e8%bf%997%e4%b8%aa%e9%97%ae%e9%a2%98","status":"publish","type":"post","link":"https:\/\/aif.amtbbs.org\/index.php\/2021\/08\/26\/475\/","title":{"rendered":"\u9009\u62e9\u673a\u5668\u5b66\u4e60\u6a21\u578b\uff0c\u8981\u6ce8\u610f\u8fd97\u4e2a\u95ee\u9898"},"content":{"rendered":"<p data-mpa-powered-by=\"yiban.io\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-477\" src=\"https:\/\/aif.amtbbs.org\/wp-content\/uploads\/2021\/08\/4ffce04d92a4d6cb21c1494cdfcd6dc1-69.jpg\" width=\"1080\" height=\"716\" alt=\"\u56fe\u7247\" srcset=\"https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2021\/08\/4ffce04d92a4d6cb21c1494cdfcd6dc1-69.jpg 1080w, https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2021\/08\/4ffce04d92a4d6cb21c1494cdfcd6dc1-69-300x199.jpg 300w, https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2021\/08\/4ffce04d92a4d6cb21c1494cdfcd6dc1-69-1024x679.jpg 1024w, https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2021\/08\/4ffce04d92a4d6cb21c1494cdfcd6dc1-69-768x509.jpg 768w\" sizes=\"auto, (max-width: 1080px) 100vw, 1080px\" \/><\/p>\n<section>\u4f5c\u8005 | Santiago Valdarrama<\/section>\n<section>\u8bd1\u8005 |\u00a0Sambodhi<\/section>\n<section>\u7b56\u5212 | \u5218\u71d5<\/section>\n<section><\/section>\n<p><strong><em>\u672c\u6587\u6700\u521d\u53d1\u8868\u4e8e Towards Data Science \u535a\u5ba2\uff0c\u7ecf\u539f\u4f5c\u8005 Santiago Valdarrama \u6388\u6743\uff0cInfoQ \u4e2d\u6587\u7ad9\u7ffb\u8bd1\u5e76\u5206\u4eab\u3002<\/em><\/strong><\/p>\n<p>\u548c\u5f88\u591a\u4eba\u7684\u60f3\u6cd5\u76f8\u53cd\uff0c\u6027\u80fd\u6700\u597d\u7684\u673a\u5668\u5b66\u4e60\u6a21\u578b\u672a\u5fc5\u662f\u6700\u597d\u7684\u89e3\u51b3\u65b9\u6848\u3002\u5728 Kaggle \u7ade\u8d5b\u4e2d\uff0c\u6027\u80fd\u662f\u4f60\u9700\u8981\u7684\u5168\u90e8\u3002\u5b9e\u9645\u4e0a\uff0c\u8fd9\u4e5f\u662f\u53e6\u4e00\u4e2a\u9700\u8981\u8003\u8651\u7684\u56e0\u7d20\u3002\u4e0b\u9762\u8ba9\u6211\u4eec\u4ece\u6a21\u578b\u7684\u6027\u80fd\u5f00\u59cb\uff0c\u5e76\u91cd\u65b0\u8003\u8651\u4e00\u4e9b\u5176\u4ed6\u8003\u8651\u56e0\u7d20\uff0c\u4ee5\u4fbf\u5728\u9009\u62e9\u6a21\u578b\u6765\u89e3\u51b3\u95ee\u9898\u65f6\u7262\u8bb0\u5728\u5fc3\u3002<\/p>\n<section>1. \u6027\u80fd<\/section>\n<p>\u6a21\u578b\u7ed3\u679c\u7684\u8d28\u91cf\u662f\u9009\u62e9\u6a21\u578b\u65f6\u5e94\u8003\u8651\u7684\u57fa\u672c\u56e0\u7d20\u3002\u4f18\u5148\u9009\u62e9\u80fd\u591f\u4f7f\u6027\u80fd\u6700\u5927\u5316\u7684\u7b97\u6cd5\u3002\u53d6\u51b3\u4e8e\u95ee\u9898\uff0c\u4e0d\u540c\u7684\u5ea6\u91cf\u6807\u51c6\u53ef\u80fd\u5bf9\u5206\u6790\u6a21\u578b\u7684\u7ed3\u679c\u6709\u6240\u5e2e\u52a9\u3002\u4e3e\u4f8b\u6765\u8bf4\uff0c\u6700\u6d41\u884c\u7684\u5ea6\u91cf\u6709\u6b63\u786e\u7387\u3001\u51c6\u786e\u7387\u3001\u67e5\u5168\u7387\u548c F1 \u5206\u6570\u3002<\/p>\n<p>\u5207\u8bb0\uff0c\u5e76\u975e\u6bcf\u4e00\u4e2a\u5ea6\u91cf\u90fd\u9002\u7528\u4e8e\u6240\u6709\u7684\u60c5\u51b5\u3002\u4f8b\u5982\uff0c\u5728\u5904\u7406\u4e0d\u5e73\u8861\u7684\u6570\u636e\u96c6\u65f6\uff0c\u6b63\u786e\u7387\u662f\u4e0d\u9002\u5f53\u7684\u3002\u5728\u6211\u4eec\u51c6\u5907\u5f00\u59cb\u6a21\u578b\u9009\u62e9\u8fc7\u7a0b\u4e4b\u524d\uff0c\u9009\u62e9\u4e00\u79cd\u826f\u597d\u7684\u5ea6\u91cf\uff08\u6216\u4e00\u7ec4\u6307\u6807\uff09\u6765\u8bc4\u4f30\u6a21\u578b\u6027\u80fd\u662f\u4e00\u9879\u81f3\u5173\u91cd\u8981\u7684\u4efb\u52a1\u3002<\/p>\n<section>2. \u53ef\u89e3\u91ca\u6027<\/section>\n<p>\u5f88\u591a\u60c5\u51b5\u4e0b\uff0c\u5bf9\u6a21\u578b\u7ed3\u679c\u7684\u89e3\u91ca\u662f\u81f3\u5173\u91cd\u8981\u7684\u3002\u9057\u61be\u7684\u662f\uff0c\u5f88\u591a\u7b97\u6cd5\u5c31\u50cf\u9ed1\u76d2\u5b50\u4e00\u6837\u5de5\u4f5c\uff0c\u65e0\u8bba\u7ed3\u679c\u5982\u4f55\uff0c\u90fd\u5f88\u96be\u89e3\u91ca\u3002\u5728\u8fd9\u4e9b\u60c5\u51b5\u4e0b\uff0c\u7f3a\u4e4f\u53ef\u89e3\u91ca\u6027\u53ef\u80fd\u662f\u6210\u529f\u6216\u5931\u8d25\u7684\u51b3\u5b9a\u6027\u6761\u4ef6\u3002<\/p>\n<p>\u5982\u679c\u5b58\u5728\u53ef\u89e3\u91ca\u6027\u95ee\u9898\uff0c\u7ebf\u6027\u56de\u5f52\u548c\u51b3\u7b56\u6811\u662f\u5f88\u597d\u7684\u9009\u62e9\u3002\u795e\u7ecf\u7f51\u7edc\u5219\u4e0d\u7136\u3002\u9009\u62e9\u597d\u7684\u5019\u9009\u8005\u4e4b\u524d\uff0c\u4e00\u5b9a\u8981\u77e5\u9053\u6bcf\u79cd\u6a21\u578b\u7684\u7ed3\u679c\u662f\u5426\u6613\u4e8e\u89e3\u91ca\u3002\u6709\u610f\u601d\u7684\u662f\uff0c\u53ef\u89e3\u91ca\u6027\u548c\u590d\u6742\u6027\u901a\u5e38\u5b58\u5728\u4e8e\u4e24\u4e2a\u6781\u7aef\uff0c\u6240\u4ee5\u63a5\u4e0b\u6765\u6211\u4eec\u6765\u770b\u770b\u590d\u6742\u6027\u3002<\/p>\n<section>3. \u590d\u6742\u6027<\/section>\n<p>\u4e00\u79cd\u590d\u6742\u7684\u6a21\u578b\u5728\u6570\u636e\u4e2d\u53ef\u80fd\u4f1a\u53d1\u73b0\u66f4\u591a\u6709\u8da3\u7684\u6a21\u5f0f\uff0c\u4f46\u662f\uff0c\u8fd9\u4f1a\u4f7f\u7ef4\u62a4\u548c\u89e3\u91ca\u66f4\u52a0\u56f0\u96be\u3002<\/p>\n<p>\u8fd9\u91cc\u6709\u4e00\u4e9b\u4e0d\u4e25\u8c28\u7684\u6982\u62ec\uff0c\u9700\u8981\u8bb0\u4f4f\uff1a<\/p>\n<ul class=\"list-paddingleft-2\">\n<li>\u590d\u6742\u6027\u8d8a\u9ad8\uff0c\u6027\u80fd\u5c31\u8d8a\u597d\uff0c\u4f46\u662f\u6210\u672c\u4e5f\u8d8a\u9ad8\u3002<\/li>\n<li>\u590d\u6742\u6027\u4e0e\u53ef\u89e3\u91ca\u6027\u6210\u53cd\u6bd4\u3002\u6a21\u578b\u8d8a\u590d\u6742\uff0c\u89e3\u91ca\u7ed3\u679c\u5c31\u8d8a\u56f0\u96be\u3002<\/li>\n<\/ul>\n<p>\u629b\u5f00\u53ef\u89e3\u91ca\u6027\u4e0d\u8c08\uff0c\u6784\u5efa\u548c\u7ef4\u62a4\u6a21\u578b\u7684\u6210\u672c\u662f\u9879\u76ee\u6210\u529f\u7684\u5173\u952e\u56e0\u7d20\u3002\u590d\u6742\u7684\u8bbe\u7f6e\u4f1a\u5bf9\u6a21\u578b\u7684\u6574\u4e2a\u751f\u547d\u5468\u671f\u4ea7\u751f\u66f4\u5927\u7684\u5f71\u54cd\u3002<\/p>\n<section>4. \u6570\u636e\u96c6\u5927\u5c0f<\/section>\n<p>\u53ef\u7528\u7684\u8bad\u7ec3\u6570\u636e\u91cf\u662f\u9009\u62e9\u6a21\u578b\u65f6\u8981\u8003\u8651\u7684\u4e3b\u8981\u56e0\u7d20\u4e4b\u4e00\u3002<\/p>\n<p>\u795e\u7ecf\u7f51\u7edc\u5728\u5904\u7406\u548c\u5408\u6210\u5927\u91cf\u6570\u636e\u65b9\u9762\u786e\u5b9e\u5f88\u51fa\u8272\u3002KNN\uff08K-Nearest Neighbors\uff0cK- \u6700\u8fd1\u90bb\uff09\u6a21\u578b\u66f4\u597d\uff0c\u793a\u4f8b\u4e5f\u66f4\u5c11\u3002\u9664\u4e86\u53ef\u7528\u7684\u6570\u636e\u91cf\u5916\uff0c\u8fd8\u6709\u4e00\u4e2a\u91cd\u8981\u7684\u8003\u8651\u56e0\u7d20\u662f\uff0c\u4e3a\u4e86\u83b7\u5f97\u597d\u7684\u7ed3\u679c\uff0c\u4f60\u771f\u6b63\u9700\u8981\u591a\u5c11\u6570\u636e\u3002\u6709\u65f6\u5019\uff0c\u4f60\u53ef\u4ee5\u901a\u8fc7 100 \u4e2a\u8bad\u7ec3\u4f8b\u5b50\u6765\u5efa\u7acb\u4e00\u4e2a\u5f88\u597d\u7684\u89e3\u51b3\u65b9\u6848\uff1b\u6709\u65f6\u5019\uff0c\u4f60\u9700\u8981 100000 \u4e2a\u4f8b\u5b50\u3002<\/p>\n<p>\u5229\u7528\u8fd9\u4e9b\u4e0e\u4f60\u7684\u95ee\u9898\u548c\u6570\u636e\u91cf\u6709\u5173\u7684\u4fe1\u606f\uff0c\u9009\u62e9\u4e00\u4e2a\u6a21\u578b\u6765\u5904\u7406\u5b83\u3002<\/p>\n<section>5. \u7ef4\u5ea6<\/section>\n<p>\u4ece\u4e24\u4e2a\u4e0d\u540c\u7684\u89d2\u5ea6\u770b\u5f85\u7ef4\u5ea6\u662f\u6709\u7528\u7684\uff1a\u6570\u636e\u96c6\u7684\u5782\u76f4\u5927\u5c0f\u4ee3\u8868\u6211\u4eec\u62e5\u6709\u7684\u6570\u636e\u91cf\u3002\u6c34\u5e73\u5927\u5c0f\u4ee3\u8868\u7279\u5f81\u7684\u6570\u91cf\u3002<\/p>\n<p>\u6211\u4eec\u5df2\u7ecf\u8ba8\u8bba\u4e86\u5782\u76f4\u7ef4\u5ea6\u5982\u4f55\u5f71\u54cd\u4f18\u79c0\u6a21\u578b\u7684\u9009\u62e9\u3002\u4e8b\u5b9e\u8bc1\u660e\uff0c\u6c34\u5e73\u7ef4\u5ea6\u4e5f\u662f\u9700\u8981\u8003\u8651\u7684\u56e0\u7d20\u3002\u5982\u679c\u4f60\u7684\u6a21\u578b\u6709\u66f4\u591a\u7684\u7279\u5f81\uff0c\u5c31\u4f1a\u6709\u66f4\u597d\u7684\u89e3\u51b3\u65b9\u6848\u3002\u8d8a\u591a\u7684\u7279\u5f81\u4e5f\u4f1a\u589e\u52a0\u6a21\u578b\u7684\u590d\u6742\u6027\u3002<\/p>\n<p>\u201c\u7ef4\u5ea6\u7684\u8bc5\u5492\u201d\uff08Curse of dimensionality\uff09\u5f88\u597d\u5730\u4ecb\u7ecd\u4e86\u7ef4\u5ea6\u5982\u4f55\u5f71\u54cd\u6a21\u578b\u7684\u590d\u6742\u6027\u3002\u53ef\u4ee5\u60f3\u8c61\uff0c\u5e76\u975e\u6bcf\u4e00\u4e2a\u6a21\u578b\u5bf9\u9ad8\u7ef4\u6570\u636e\u96c6\u7684\u6269\u5c55\u90fd\u662f\u76f8\u540c\u7684\u3002\u5728\u5c06\u9ad8\u7ef4\u6570\u636e\u4f5c\u4e3a\u95ee\u9898\u8fdb\u884c\u96c6\u6210\u65f6\uff0c\u6211\u4eec\u53ef\u80fd\u4e5f\u9700\u8981\u5f15\u5165\u7279\u5b9a\u7684\u964d\u7ef4\u7b97\u6cd5\u3002PCA \u662f\u8fd9\u65b9\u9762\u6700\u6d41\u884c\u7684\u7b97\u6cd5\u4e4b\u4e00\u3002<\/p>\n<section>6. \u8bad\u7ec3\u65f6\u95f4\u4e0e\u6210\u672c<\/section>\n<p>\u8bad\u7ec3\u4e00\u4e2a\u6a21\u578b\u9700\u8981\u591a\u957f\u65f6\u95f4\uff0c\u9700\u8981\u591a\u5c11\u94b1\uff1f\u4f60\u4f1a\u9009\u62e9\u4e00\u4e2a\u6b63\u786e\u7387\u4e3a 98%\u3001\u8bad\u7ec3\u6210\u672c\u4e3a 10 \u4e07\u7f8e\u5143\u7684\u6a21\u578b\uff0c\u8fd8\u662f\u9009\u62e9\u4e00\u4e2a\u51c6\u786e\u7387\u4e3a 97%\u3001\u6210\u672c\u4e3a 1 \u4e07\u7f8e\u5143\u7684\u6a21\u578b\uff1f<\/p>\n<p>\u8fd9\u4e2a\u95ee\u9898\u7684\u7b54\u6848\u5f53\u7136\u53d6\u51b3\u4e8e\u4f60\u7684\u4e2a\u4eba\u60c5\u51b5\u3002<\/p>\n<p>\u9700\u8981\u5728\u63a5\u8fd1\u5b9e\u65f6\u7684\u60c5\u51b5\u4e0b\u7ed3\u5408\u65b0\u77e5\u8bc6\u7684\u6a21\u578b\uff0c\u5f88\u96be\u9002\u5e94\u957f\u5468\u671f\u7684\u8bad\u7ec3\u3002\u4e3e\u4f8b\u6765\u8bf4\uff0c\u63a8\u8350\u7cfb\u7edf\u9700\u8981\u6839\u636e\u6bcf\u4e2a\u7528\u6237\u7684\u52a8\u4f5c\u4e0d\u65ad\u66f4\u65b0\uff0c\u624d\u80fd\u4ece\u5ec9\u4ef7\u7684\u8bad\u7ec3\u5468\u671f\u4e2d\u83b7\u76ca\u3002\u5728\u8bbe\u8ba1\u53ef\u6269\u5c55\u7684\u89e3\u51b3\u65b9\u6848\u65f6\uff0c\u5e73\u8861\u65f6\u95f4\u3001\u6210\u672c\u548c\u6027\u80fd\u975e\u5e38\u91cd\u8981\u3002<\/p>\n<section>7. \u63a8\u7406\u65f6\u95f4<\/section>\n<p>\u8fd0\u884c\u4e00\u4e2a\u6a21\u578b\u5e76\u4f5c\u51fa\u9884\u6d4b\u9700\u8981\u591a\u957f\u65f6\u95f4\uff1f\u60f3\u8c61\u4e00\u4e0b\u81ea\u52a8\u9a7e\u9a76\u7cfb\u7edf\uff1a\u5b83\u9700\u8981\u5b9e\u65f6\u4f5c\u51fa\u51b3\u7b56\uff0c\u56e0\u6b64\u4efb\u4f55\u65f6\u95f4\u8fc7\u957f\u7684\u6a21\u578b\u90fd\u65e0\u6cd5\u88ab\u8003\u8651\u3002<\/p>\n<p>\u4f8b\u5982\uff0c\u4f7f\u7528 KNN \u5f00\u53d1\u9884\u6d4b\u6240\u9700\u7684\u5927\u90e8\u5206\u5904\u7406\u90fd\u5728\u63a8\u7406\u8fc7\u7a0b\u4e2d\u8fdb\u884c\u3002\u56e0\u6b64\u8fd0\u884c\u5b83\u7684\u6210\u672c\u975e\u5e38\u9ad8\u3002\u4f46\u51b3\u7b56\u6811\u7684\u63a8\u7406\u65f6\u95f4\u8f83\u77ed\uff0c\u5728\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\u9700\u8981\u8f83\u957f\u7684\u65f6\u95f4\u3002<\/p>\n<section>\u7ed3\u8bed<\/section>\n<p>\u5f88\u591a\u4eba\u4e13\u6ce8\u4e8e\u4ed6\u4eec\u6700\u559c\u6b22\u7684\u6a21\u578b\u3002\u5e38\u5e38\u662f\u4ed6\u4eec\u6700\u719f\u6089\u7684\u90a3\u4e2a\uff0c\u5728\u524d\u4e00\u4e2a\u9879\u76ee\u4e2d\u7ed9\u4ed6\u4eec\u5e26\u6765\u4e86\u597d\u6548\u679c\u3002<\/p>\n<p>\u4f46\u662f\u673a\u5668\u5b66\u4e60\u4e2d 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class=\"list-paddingleft-2\">\n<li>\u6a21\u578b\u7684\u6027\u80fd<\/li>\n<li>\u7ed3\u679c\u7684\u53ef\u89e3\u91ca\u6027<\/li>\n<li>\u6a21\u578b\u7684\u590d\u6742\u6027<\/li>\n<li>\u6570\u636e\u96c6\u7684\u5927\u5c0f<\/li>\n<li>\u6570\u636e\u7684\u7ef4\u5ea6<\/li>\n<li>\u8bad\u7ec3\u65f6\u95f4\u548c\u6210\u672c<\/li>\n<li>\u63a8\u7406\u65f6\u95f4<\/li>\n<\/ol>\n<p><strong>\u4f5c\u8005\u4ecb\u7ecd\uff1a<\/strong><\/p>\n<p>Santiago Valdarrama\uff0c\u4e13\u6ce8\u4e8e\u673a\u5668\u5b66\u4e60\u7cfb\u7edf\u3002<\/p>\n<p><strong>\u539f\u6587\u94fe\u63a5\uff1a<\/strong><\/p>\n<p>https:\/\/towardsdatascience.com\/considerations-when-choosing-a-machine-learning-model-aa31f52c27f3?gi=b42e581fe448<\/p>\n<hr \/>\n<p>\u5185\u5bb9\u6765\u6e90\uff1aSantiago Valdarrama<\/p>\n<div class=\"pvc_clear\"><\/div>\n<p id=\"pvc_stats_475\" class=\"pvc_stats total_only  \" data-element-id=\"475\" style=\"\"><i class=\"pvc-stats-icon medium\" aria-hidden=\"true\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" 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-946 591 -1479 653 -113 14 -422 18 -536 8z m395 -428 c171 -34 330 -124 456 -258 112 -119 167 -219 211 -378 27 -96 24 -300 -5 -401 -72 -255 -236 -447 -474 -557 -132 -62 -201 -76 -368 -76 -167 0 -236 14 -368 76 -213 98 -373 271 -451 485 -162 444 86 934 547 1084 153 49 292 57 452 25z m909 -232 c222 -123 408 -262 593 -441 76 -74 138 -139 138 -144 0 -16 -233 -242 -330 -319 -155 -123 -309 -223 -461 -299 l-81 -41 32 46 c18 26 49 83 70 128 143 306 141 649 -6 957 -25 52 -61 116 -79 142 l-34 47 45 -20 c26 -10 76 -36 113 -56z m-2057 25 c-40 -58 -105 -190 -130 -263 -110 -324 -59 -707 132 -981 25 -35 42 -64 37 -64 -19 0 -241 119 -326 174 -188 122 -406 314 -532 468 l-58 71 108 103 c185 178 428 349 672 473 66 33 121 60 123 61 2 0 -10 -19 -26 -42z\"\/><path d=\"M2375 1950 c-198 -44 -350 -190 -395 -379 -18 -76 -8 -221 19 -290 114 -284 457 -406 731 -260 98 52 188 154 231 260 27 69 37 214 19 290 -38 163 -166 304 -326 360 -67 23 -215 33 -279 19z\"\/><\/g><\/svg><\/i> <img loading=\"lazy\" decoding=\"async\" width=\"16\" height=\"16\" alt=\"Loading\" src=\"https:\/\/aif.amtbbs.org\/wp-content\/plugins\/page-views-count\/ajax-loader-2x.gif\" border=0 \/><\/p>\n<div class=\"pvc_clear\"><\/div>\n","protected":false},"author":1,"featured_media":477,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[],"class_list":["post-475","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai"],"_links":{"self":[{"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/posts\/475","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/comments?post=475"}],"version-history":[{"count":1,"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/posts\/475\/revisions"}],"predecessor-version":[{"id":478,"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/posts\/475\/revisions\/478"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/media\/477"}],"wp:attachment":[{"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/media?parent=475"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/categories?post=475"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/tags?post=475"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}