{"id":190894,"date":"2023-03-24T00:45:43","date_gmt":"2023-03-23T16:45:43","guid":{"rendered":"https:\/\/www.idc.net\/help\/190894\/"},"modified":"2023-03-24T00:45:43","modified_gmt":"2023-03-23T16:45:43","slug":"%e5%90%8e%e6%b5%aa%e4%ba%91ios%e6%95%99%e7%a8%8b%ef%bc%9a%e6%8f%90%e9%ab%98%e6%a8%a1%e5%9e%8b%e5%87%86%e7%a1%ae%e6%80%a7","status":"publish","type":"post","link":"https:\/\/idc.net\/help\/190894\/","title":{"rendered":"\u540e\u6d6a\u4e91IOS\u6559\u7a0b\uff1a\u63d0\u9ad8\u6a21\u578b\u51c6\u786e\u6027"},"content":{"rendered":"

\u6982\u89c8 <\/h2>\n

\u8981\u8bc4\u4f30\u548c\u6539\u5584\u6a21\u578b\uff0c\u9996\u5148\u5e94\u89c2\u5bdf\u5b83\u5728\u4e0d\u540c\u6570\u636e\u96c6\u4e2d\u7684\u8868\u73b0\u60c5\u51b5\u3002\u6839\u636e\u6765\u81ea\u6bcf\u4e2a\u6570\u636e\u96c6\u7684\u6307\u6807\uff0c\u53ef\u4ee5\u5224\u65ad\u51fa\u54ea\u4e9b\u66f4\u6539\u5bf9\u6a21\u578b\u51c6\u786e\u6027\u7684\u5f71\u54cd\u6700\u5927\u3002 <\/p>\n

\u53ea\u901a\u8fc7\u5355\u4e00\u6307\u6807\u65e0\u6cd5\u5168\u9762\u4e86\u89e3\u6a21\u578b\u7684\u8868\u73b0\u3002\u8981\u6539\u5584\u4f60\u7684\u6a21\u578b\uff0c\u5fc5\u987b\u6bd4\u8f83\u8bad\u7ec3\u3001\u9a8c\u8bc1\u548c\u6d4b\u8bd5\u6570\u636e\u96c6\u7684\u6307\u6807 (MLClassifierMetrics<\/code> (\u82f1\u6587)<\/span> \u6216 MLRegressorMetrics<\/code> (\u82f1\u6587)<\/span>\uff0c\u5177\u4f53\u53d6\u51b3\u4e8e\u4f60\u7684\u6a21\u578b\u7c7b\u578b)\u3002\u4f8b\u5982\uff0c\u201c\u521b\u5efa\u56fe\u50cf\u5206\u7c7b\u5668\u6a21\u578b\u201d\u4e00\u6587\u4e2d\u63a2\u8ba8\u7684\u51c6\u786e\u6027\u662f\u6839\u636e\u6bcf\u4e2a\u6570\u636e\u96c6\u7684 classificationError<\/code> (\u82f1\u6587)<\/span> \u6307\u6807\u800c\u5f97\u51fa\u7684\u3002 <\/p>\n

\u5728\u521b\u5efa\u6a21\u578b\u5e76\u52a0\u8f7d\u6d4b\u8bd5\u6570\u636e\u540e\uff0c\u8fd8\u53ef\u901a\u8fc7\u7f16\u7a0b\u65b9\u5f0f\u8bbf\u95ee\u8fd9\u4e9b\u503c\uff1a <\/p>\n

print<\/span>(\"Training Metrics\\n\"<\/span>, model.trainingMetrics)\nprint<\/span>(\"Validation Metrics\\n\"<\/span>, model.validationMetrics)\n\nlet<\/span> evaluationMetrics = model.evaluation(on: testData)\nprint<\/span>(\"Evaluation Metrics\\n\"<\/span>, evaluationMetrics)<\/code><\/pre>\n
 \u5728\u8fd9\u79cd\u60c5\u5f62\u4e2d\uff0c\u4f60\u4f1a\u770b\u5230\u51e0\u4e2a\u4e0d\u540c\u6307\u6807\u7684\u8f93\u51fa\uff0c\u5305\u62ec\u9002\u7528\u4e8e\u5206\u7c7b\u5668\u7684 classificationError<\/code> (\u82f1\u6587)<\/span>\u3001precisionRecall<\/code> (\u82f1\u6587)<\/span> \u548c confusion<\/code> (\u82f1\u6587)<\/span>\uff0c\u4ee5\u53ca\u9002\u7528\u4e8e\u56de\u5f52\u5143\u7684 maximumError<\/code> (\u82f1\u6587)<\/span> \u548c rootMeanSquaredError<\/code> (\u82f1\u6587)<\/span>\u3002\u6839\u636e\u6bcf\u4e2a\u6570\u636e\u96c6\u7684\u8fd4\u56de\u503c\u6765\u51b3\u5b9a\u6a21\u578b\u5728\u54ea\u4e9b\u5730\u65b9\u9700\u8981\u6539\u8fdb\u3002 <\/p>\n
 \u63d0\u9ad8\u6a21\u578b\u7684\u8bad\u7ec3\u51c6\u786e\u6027 <\/h3>\n
 \u5982\u679c\u6a21\u578b\u7684\u8bad\u7ec3\u51c6\u786e\u6027\u504f\u4f4e\uff0c\u5219\u8868\u793a\u5f53\u524d\u6a21\u578b\u914d\u7f6e\u65e0\u6cd5\u6355\u6349\u6570\u636e\u7684\u590d\u6742\u7ec6\u8282\u3002 <\/p>\n
 \u5c1d\u8bd5\u8c03\u6574\u8bad\u7ec3\u53c2\u6570\u3002\u5728\u5904\u7406\u56fe\u50cf\u6570\u636e\u65f6\uff0c\u53ef\u4ee5\u5c06 MLImageClassifierBuilder<\/code> Playground UI \u4e2d\u7684\u6700\u5927\u8fed\u4ee3\u6570 (\u9ed8\u8ba4\u503c\u4e3a 10) \u7ffb\u500d\u3002 <\/p>\n<\/p>\n
 \u5bf9\u4e8e\u81ea\u7136\u8bed\u8a00\u6570\u636e\uff0c\u53ef\u4ee5\u5c1d\u8bd5\u53e6\u4e00\u79cd\u5e95\u5c42\u7b97\u6cd5 (\u8bf7\u53c2\u9605 MLTextClassifier.ModelAlgorithmType<\/code> (\u82f1\u6587)<\/span>)\u3002\u5bf9\u4e8e\u66f4\u5e38\u89c4\u7684\u4efb\u52a1\uff0c\u53ef\u4ee5\u4f7f\u7528 MLClassifier<\/code> (\u82f1\u6587)<\/span> (\u8bf7\u53c2\u9605\u201c\u652f\u6301\u7684\u5206\u7c7b\u5668\u7c7b\u578b\u201d(\u82f1\u6587)<\/span>) \u6216 MLRegressor<\/code> (\u82f1\u6587)<\/span> (\u8bf7\u53c2\u9605\u201c\u652f\u6301\u7684\u56de\u5f52\u5143\u7c7b\u578b\u201d(\u82f1\u6587)<\/span>) \u6240\u786e\u5b9a\u7c7b\u578b\u4e4b\u5916\u7684\u5e95\u5c42\u6a21\u578b\u3002 <\/p>\n
 \u63d0\u9ad8\u6a21\u578b\u7684\u9a8c\u8bc1\u51c6\u786e\u6027 <\/h3>\n
 \u5982\u679c\u4f7f\u7528\u9a8c\u8bc1\u96c6\u5f97\u51fa\u7684\u6a21\u578b\u51c6\u786e\u6027\u8f83\u4f4e\uff0c\u6216\u6bcf\u6b21\u8bad\u7ec3\u6a21\u578b\u65f6\u51c6\u786e\u6027\u9ad8\u4f4e\u8d77\u4f0f\u4e0d\u5b9a\uff0c\u5219\u9700\u8981\u66f4\u591a\u6570\u636e\u3002\u4f60\u53ef\u4ee5\u5229\u7528\u5df2\u6536\u96c6\u7684\u793a\u4f8b\u751f\u6210\u66f4\u591a\u8f93\u5165\u6570\u636e\uff0c\u8fd9\u79cd\u65b9\u6cd5\u79f0\u4e3a\u201c\u6570\u636e\u589e\u5f3a\u201d<\/em>\u3002\u5bf9\u4e8e\u56fe\u50cf\u6570\u636e\uff0c\u4f60\u53ef\u4ee5\u7ed3\u5408\u4f7f\u7528\u88c1\u526a\u3001\u65cb\u8f6c\u3001\u6a21\u7cca\u548c\u66dd\u5149\u8c03\u6574\u7b49\u64cd\u4f5c\uff0c\u7528\u4e00\u5f20\u56fe\u50cf\u5236\u4f5c\u591a\u4e2a\u793a\u4f8b\u3002 <\/p>\n<\/p>\n
 \u4e5f\u6709\u53ef\u80fd\u867d\u7136\u4f60\u6709\u5927\u91cf\u6570\u636e\uff0c\u4f46\u9a8c\u8bc1\u51c6\u786e\u6027\u4ecd\u8fdc\u8fdc\u4f4e\u4e8e\u8bad\u7ec3\u51c6\u786e\u6027\u3002\u5728\u8fd9\u79cd\u60c5\u51b5\u4e0b\uff0c\u5219\u8868\u793a\u6a21\u578b\u201c\u8fc7\u62df\u5408\u201d<\/em>\uff0c\u4e5f\u5c31\u662f\u8bf4\u6a21\u578b\u4ece\u8bad\u7ec3\u96c6\u4e2d\u5b66\u4e60\u5230\u8fc7\u591a\u5177\u4f53\u7ec6\u8282\uff0c\u4f46\u8fd9\u4e9b\u7ec6\u8282\u901a\u5e38\u4e0d\u9002\u7528\u4e8e\u5176\u4ed6\u793a\u4f8b\u3002\u5728\u8fd9\u79cd\u60c5\u51b5\u4e0b\uff0c\u4f60\u9700\u8981\u51cf\u5c11\u8bad\u7ec3\u8fed\u4ee3\u7684\u6570\u91cf\uff0c\u9632\u6b62\u6a21\u578b\u4ece\u8bad\u7ec3\u6570\u636e\u4e2d\u5b66\u4e60\u5230\u8fc7\u591a\u5185\u5bb9\u3002 <\/p>\n
 \u63d0\u9ad8\u6a21\u578b\u7684\u8bc4\u4f30\u51c6\u786e\u6027 <\/h3>\n
 \u5982\u679c\u4f7f\u7528\u6d4b\u8bd5\u6570\u636e\u5f97\u51fa\u7684\u6a21\u578b\u51c6\u786e\u6027\u4f4e\u4e8e\u8bad\u7ec3\u6216\u9a8c\u8bc1\u51c6\u786e\u6027\uff0c\u901a\u5e38\u8868\u793a\u8bad\u7ec3\u6a21\u578b\u6240\u7528\u7684\u6570\u636e\u7c7b\u522b\u548c\u7528\u4e8e\u8bc4\u4f30\u7684\u6d4b\u8bd5\u6570\u636e\u7c7b\u522b\u6709\u660e\u663e\u7684\u5dee\u5f02\u3002 <\/p>\n
 \u4f8b\u5982\uff0c\u5047\u8bbe\u4f60\u4f7f\u7528\u591a\u5f20\u5ba4\u5185\u732b\u54aa\u56fe\u50cf\u6765\u8bad\u7ec3 MLImageClassifier<\/code> (\u82f1\u6587)<\/span>\uff0c\u4f46\u5374\u4ec5\u4f7f\u7528\u5ba4\u5916\u732b\u54aa\u56fe\u50cf\u6765\u6d4b\u8bd5\u3002\u7531\u4e8e\u5149\u7ebf\u3001\u66dd\u5149\u548c\u80cc\u666f\u5b58\u5728\u5dee\u5f02\uff0c\u56e0\u6b64\u6d4b\u8bd5\u6570\u636e\u4e0d\u592a\u53ef\u80fd\u4f1a\u5f97\u51fa\u8f83\u597d\u7684\u7ed3\u679c\u3002\u6709\u4e9b\u56fe\u50cf\u5dee\u5f02\u4f3c\u4e4e\u5bf9\u4eba\u7c7b\u800c\u8a00\u5341\u5206\u660e\u663e\uff0c\u4f46\u6a21\u578b\u82e5\u6ca1\u6709\u83b7\u5f97\u5145\u5206\u7684\u8bad\u7ec3\u6570\u636e\uff0c\u5c31\u65e0\u6cd5\u89e3\u6790\u8fd9\u4e9b\u5dee\u5f02\u3002 <\/p>\n
 \u4e3a\u7ea0\u6b63\u8fd9\u79cd\u60c5\u51b5\uff0c\u8bf7\u5728\u8bad\u7ec3\u96c6\u4e2d\u63d0\u4f9b\u66f4\u591a\u6837\u5316\u7684\u6570\u636e\u3002\u4e00\u822c\u800c\u8a00\uff0c\u793a\u4f8b\u8d8a\u591a\uff0c\u8868\u73b0\u8d8a\u4f73\uff0c\u4f46\u5411\u6a21\u578b\u5c55\u793a\u4e0e\u6d4b\u8bd5\u6570\u636e\u4e00\u6837\u591a\u6837\u5316\u7684\u793a\u4f8b\u4e5f\u540c\u6837\u5f88\u91cd\u8981\u3002 <\/p>\n","protected":false},"excerpt":{"rendered":"
\u6982\u89c8 \u8981\u8bc4\u4f30\u548c\u6539\u5584\u6a21\u578b\uff0c\u9996\u5148\u5e94\u89c2\u5bdf\u5b83\u5728\u4e0d\u540c\u6570\u636e\u96c6\u4e2d\u7684\u8868\u73b0\u60c5\u51b5\u3002\u6839\u636e\u6765\u81ea\u6bcf\u4e2a\u6570\u636e\u96c6\u7684\u6307\u6807\uff0c\u53ef\u4ee5\u5224\u65ad\u51fa\u54ea\u4e9b\u66f4\u6539\u5bf9\u6a21 […]<\/p>\n","protected":false},"author":1,"featured_media":190895,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[189686],"tags":[],"class_list":["post-190894","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ios"],"_links":{"self":[{"href":"https:\/\/idc.net\/help\/wp-json\/wp\/v2\/posts\/190894","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/idc.net\/help\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/idc.net\/help\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/idc.net\/help\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/idc.net\/help\/wp-json\/wp\/v2\/comments?post=190894"}],"version-history":[{"count":0,"href":"https:\/\/idc.net\/help\/wp-json\/wp\/v2\/posts\/190894\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/idc.net\/help\/wp-json\/wp\/v2\/media\/190895"}],"wp:attachment":[{"href":"https:\/\/idc.net\/help\/wp-json\/wp\/v2\/media?parent=190894"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/idc.net\/help\/wp-json\/wp\/v2\/categories?post=190894"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/idc.net\/help\/wp-json\/wp\/v2\/tags?post=190894"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}