{"id":2088,"date":"2024-06-07T00:21:42","date_gmt":"2024-06-06T16:21:42","guid":{"rendered":"https:\/\/17aitech.com\/?p=2088"},"modified":"2024-10-08T15:21:59","modified_gmt":"2024-10-08T07:21:59","slug":"%e3%80%90%e8%af%be%e7%a8%8b%e6%80%bb%e7%bb%93%e3%80%91day6%e4%b8%8b%ef%bc%9a%e6%9c%ba%e5%99%a8%e5%ad%a6%e4%b9%a0%e9%a1%b9%e7%9b%ae%e5%ae%9e%e6%88%98-%e6%88%90%e4%ba%ba%e6%94%b6%e5%85%a5","status":"publish","type":"post","link":"https:\/\/17aitech.com\/?p=2088","title":{"rendered":"\u3010\u8bfe\u7a0b\u603b\u7ed3\u3011Day6\uff08\u4e0b\uff09\uff1a\u673a\u5668\u5b66\u4e60\u9879\u76ee\u5b9e\u6218\u2013\u6210\u4eba\u6536\u5165\u9884\u6d4b"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_85 ez-toc-wrap-left-text counter-hierarchy ez-toc-counter ez-toc-light-blue ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">\u6587\u7ae0\u76ee\u5f55<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/17aitech.com\/?p=2088\/#%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E9%A1%B9%E7%9B%AE%E5%AE%9E%E6%88%98%EF%BC%9A%E6%88%90%E4%BA%BA%E6%94%B6%E5%85%A5%E9%A2%84%E6%B5%8B\" >\u673a\u5668\u5b66\u4e60\u9879\u76ee\u5b9e\u6218\uff1a\u6210\u4eba\u6536\u5165\u9884\u6d4b<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/17aitech.com\/?p=2088\/#%E9%A1%B9%E7%9B%AE%E7%9B%AE%E7%9A%84\" >\u9879\u76ee\u76ee\u7684<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/17aitech.com\/?p=2088\/#%E6%95%B0%E6%8D%AE%E9%9B%86\" >\u6570\u636e\u96c6<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/17aitech.com\/?p=2088\/#%E8%A7%A3%E5%86%B3%E6%80%9D%E8%B7%AF\" >\u89e3\u51b3\u601d\u8def<\/a><ul class='ez-toc-list-level-4' ><li class='ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/17aitech.com\/?p=2088\/#%E5%88%86%E6%9E%90%E8%BE%93%E5%85%A5%E8%BE%93%E5%87%BA\" >\u5206\u6790\u8f93\u5165\/\u8f93\u51fa<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/17aitech.com\/?p=2088\/#%E6%9E%84%E5%BB%BA%E6%95%B0%E6%8D%AE%E9%9B%86\" >\u6784\u5efa\u6570\u636e\u96c6<\/a><ul class='ez-toc-list-level-5' ><li class='ez-toc-heading-level-5'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/17aitech.com\/?p=2088\/#%E5%88%86%E6%9E%90%E6%95%B0%E6%8D%AE%E7%B1%BB%E5%9E%8B\" >\u5206\u6790\u6570\u636e\u7c7b\u578b<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-5'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/17aitech.com\/?p=2088\/#%E7%A6%BB%E6%95%A3%E9%87%8F%E7%9A%84%E7%BC%96%E7%A0%81\" >\u79bb\u6563\u91cf\u7684\u7f16\u7801<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-5'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/17aitech.com\/?p=2088\/#%E5%88%86%E7%A6%BB%E7%89%B9%E5%BE%81%E5%92%8C%E6%A0%87%E7%AD%BE\" >\u5206\u79bb\u7279\u5f81\u548c\u6807\u7b7e<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-5'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/17aitech.com\/?p=2088\/#%E5%A4%84%E7%90%86%E7%89%B9%E5%BE%81%E5%88%97\" >\u5904\u7406\u7279\u5f81\u5217<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-5'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/17aitech.com\/?p=2088\/#%E5%A4%84%E7%90%86%E6%A0%87%E7%AD%BE%E5%88%97\" >\u5904\u7406\u6807\u7b7e\u5217<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"https:\/\/17aitech.com\/?p=2088\/#%E8%AF%95%E9%AA%8C%E7%AE%97%E6%B3%95\" >\u8bd5\u9a8c\u7b97\u6cd5<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-13\" href=\"https:\/\/17aitech.com\/?p=2088\/#%E5%B7%A5%E7%A8%8B%E4%BC%98%E5%8C%96\" >\u5de5\u7a0b\u4f18\u5316<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-14\" href=\"https:\/\/17aitech.com\/?p=2088\/#%E9%81%B4%E9%80%89%E7%AE%97%E6%B3%95\" >\u9074\u9009\u7b97\u6cd5<\/a><\/li><\/ul><\/li><\/ul><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E9%A1%B9%E7%9B%AE%E5%AE%9E%E6%88%98%EF%BC%9A%E6%88%90%E4%BA%BA%E6%94%B6%E5%85%A5%E9%A2%84%E6%B5%8B\"><\/span>\u673a\u5668\u5b66\u4e60\u9879\u76ee\u5b9e\u6218\uff1a\u6210\u4eba\u6536\u5165\u9884\u6d4b<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3><span class=\"ez-toc-section\" id=\"%E9%A1%B9%E7%9B%AE%E7%9B%AE%E7%9A%84\"><\/span>\u9879\u76ee\u76ee\u7684<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u57fa\u4e8e\u4e2a\u4eba\u6536\u5165\u6570\u636e(\u5305\u62ec\u6559\u80b2\u7a0b\u5ea6\u3001\u5e74\u9f84\u3001\u6027\u522b\u7b49)\u7684\u6570\u636e\u96c6\uff0c\u901a\u8fc7\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\uff0c\u9884\u6d4b\u4e00\u4e2a\u4eba\u7684\u5e74\u6536\u5165\u662f\u5426\u8d85\u8fc75\u4e07\u7f8e\u91d1\u3002<\/p>\n<h3><span class=\"ez-toc-section\" id=\"%E6%95%B0%E6%8D%AE%E9%9B%86\"><\/span>\u6570\u636e\u96c6<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<ul>\n<li>\n<p>\u5730\u5740\uff1a<a href=\"http:\/\/idatascience.cn\/dataset-detail?table_id=100368\">http:\/\/idatascience.cn\/dataset-detail?table_id=100368<\/a><\/p>\n<\/li>\n<li>\n<p>\u6570\u636e\u96c6\u5b57\u6bb5<\/p>\n<table>\n<thead>\n<tr>\n<th style=\"text-align: center;\">\u5b57\u6bb5\u540d\u79f0<\/th>\n<th style=\"text-align: center;\">\u5b57\u6bb5\u7c7b\u578b<\/th>\n<th style=\"text-align: left;\">\u5b57\u6bb5\u8bf4\u660e<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td style=\"text-align: center;\">age<\/td>\n<td style=\"text-align: center;\">\u6570\u503c\u578b<\/td>\n<td style=\"text-align: left;\">\u5e74\u9f84<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\">workclass<\/td>\n<td style=\"text-align: center;\">\u5b57\u7b26\u578b<\/td>\n<td style=\"text-align: left;\">\u5de5\u4f5c\u7c7b\u578b<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\">fnlwgt<\/td>\n<td style=\"text-align: center;\">\u5b57\u7b26\u578b<\/td>\n<td style=\"text-align: left;\">\u5e8f\u53f7<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\">education<\/td>\n<td style=\"text-align: center;\">\u5b57\u7b26\u578b<\/td>\n<td style=\"text-align: left;\">\u6559\u80b2\u7a0b\u5ea6<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\">education-num<\/td>\n<td style=\"text-align: center;\">\u6570\u503c\u578b<\/td>\n<td style=\"text-align: left;\">\u53d7\u6559\u80b2\u65f6\u957f<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\">marital-status<\/td>\n<td style=\"text-align: center;\">\u5b57\u7b26\u578b<\/td>\n<td style=\"text-align: left;\">\u5a5a\u59fb\u72b6\u51b5<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\">occupation<\/td>\n<td style=\"text-align: center;\">\u5b57\u7b26\u578b<\/td>\n<td style=\"text-align: left;\">\u804c\u4e1a<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\">relationship<\/td>\n<td style=\"text-align: center;\">\u5b57\u7b26\u578b<\/td>\n<td style=\"text-align: left;\">\u5173\u7cfb<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\">race<\/td>\n<td style=\"text-align: center;\">\u5b57\u7b26\u578b<\/td>\n<td style=\"text-align: left;\">\u79cd\u65cf<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\">sex<\/td>\n<td style=\"text-align: center;\">\u5b57\u7b26\u578b<\/td>\n<td style=\"text-align: left;\">\u6027\u522b<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\">capital-gain<\/td>\n<td style=\"text-align: center;\">\u6570\u503c\u578b<\/td>\n<td style=\"text-align: left;\">\u8d44\u672c\u6536\u76ca<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\">capital-loss<\/td>\n<td style=\"text-align: center;\">\u6570\u503c\u578b<\/td>\n<td style=\"text-align: left;\">\u8d44\u672c\u635f\u5931<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\">hours-per-week<\/td>\n<td style=\"text-align: center;\">\u6570\u503c\u578b<\/td>\n<td style=\"text-align: left;\">\u6bcf\u5468\u5de5\u4f5c\u5c0f\u65f6\u6570<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\">native-country<\/td>\n<td style=\"text-align: center;\">\u5b57\u7b26\u578b<\/td>\n<td style=\"text-align: left;\">\u539f\u7c4d<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\">salary<\/td>\n<td style=\"text-align: center;\">\u5b57\u7b26\u578b<\/td>\n<td style=\"text-align: left;\">\u6536\u5165<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/li>\n<li>\n<p>\u6570\u636e\u96c6\u6837\u4f8b\uff1a<br \/>\n<a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/06\/image-1717693016431.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/06\/image-1717693016431.png\" alt=\"file\" \/><\/a><\/p>\n<\/li>\n<\/ul>\n<h3><span class=\"ez-toc-section\" id=\"%E8%A7%A3%E5%86%B3%E6%80%9D%E8%B7%AF\"><\/span>\u89e3\u51b3\u601d\u8def<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<h4><span class=\"ez-toc-section\" id=\"%E5%88%86%E6%9E%90%E8%BE%93%E5%85%A5%E8%BE%93%E5%87%BA\"><\/span>\u5206\u6790\u8f93\u5165\/\u8f93\u51fa<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p>\u901a\u8fc7\u5206\u6790\uff0c\u672c\u6b21\u9879\u76ee\u6211\u4eec\u8981\u89e3\u51b3\u7684\u95ee\u9898\uff1a<font color='red'>\u7ed9\u5b9a\u4e00\u4e2a\u4eba\u7684\u76f8\u5173\u4fe1\u606f(\u5305\u62ec\u5e74\u9f84\u3001\u6559\u80b2\u7a0b\u5ea6\u3001\u53d7\u6559\u80b2\u65f6\u957f\u7b49)\uff0c\u9884\u6d4b\u5176\u6536\u5165\u662f\u5426\u8d85\u8fc75\u4e07\u3002<\/font><\/p>\n<p>\u8be5\u95ee\u9898\u5982\u679c\u662f\u9884\u6d4b\u5176\u6536\u5165\u662f\u591a\u5c11\uff0c\u90a3\u4e48\u5c31\u5c5e\u4e8e\u7ebf\u6027\u56de\u5f52\u95ee\u9898\uff1b\u4f46\u6570\u636e\u96c6\u4e2d\u5728\u6536\u5165\u6807\u7b7e\u662f&gt;=5\u4e07\u6216&lt;5\u4e07\uff0c\u6240\u4ee5\u8fd9\u5e94\u8be5\u662f\u4e00\u4e2a\u5206\u7c7b\u95ee\u9898\u3002<\/p>\n<p>\u5206\u6790\u76f8\u5173\u8f93\u5165\/\u8f93\u51fa\u5982\u4e0b\uff1a<\/p>\n<ul>\n<li>\u8f93\u5165\uff1a\u4e00\u4e2a\u4eba\u7684\u4fe1\u606f(\u5305\u62ec\u5e74\u9f84\u3001\u6559\u80b2\u7a0b\u5ea6\u3001\u53d7\u6559\u80b2\u65f6\u957f\u7b49)<\/li>\n<li>\u8f93\u51fa\uff1a0\u4e3a&lt;=50K\uff0c1\u4e3a>50K<\/li>\n<\/ul>\n<h4><span class=\"ez-toc-section\" id=\"%E6%9E%84%E5%BB%BA%E6%95%B0%E6%8D%AE%E9%9B%86\"><\/span>\u6784\u5efa\u6570\u636e\u96c6<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<h5><span class=\"ez-toc-section\" id=\"%E5%88%86%E6%9E%90%E6%95%B0%E6%8D%AE%E7%B1%BB%E5%9E%8B\"><\/span>\u5206\u6790\u6570\u636e\u7c7b\u578b<span class=\"ez-toc-section-end\"><\/span><\/h5>\n<p>\u9996\u5148\uff0c\u6211\u4eec\u5148\u5206\u6790\u4e00\u4e0b\u5982\u4f55\u5c06\u6570\u636e\u96c6\u5411\u91cf\u5316\uff0c\u901a\u8fc7\u4ee5\u4e0b\u4ee3\u7801\u6765\u67e5\u770b\u6570\u636e\u96c6\u6bcf\u5217\u7684\u5185\u5bb9\uff1a<\/p>\n<pre><code class=\"language-python\">import csv\nimport numpy as np\ndef read_file(file_path, skip_header=True):\n  &quot;&quot;&quot;\n  \u8bfb\u53d6CSV\u6587\u4ef6\u7684\u5185\u5bb9\u3002\n  \u53c2\u6570:\n      file_path (str): CSV\u6587\u4ef6\u7684\u8def\u5f84\u3002\n      skip_header (bool): \u662f\u5426\u8df3\u8fc7\u8868\u5934\u6570\u636e\uff0c\u9ed8\u8ba4\u4e3aTrue\u3002\n  \u8fd4\u56de:\n      list: \u5305\u542bCSV\u6587\u4ef6\u5185\u5bb9\u7684\u5217\u8868\u3002\n  &quot;&quot;&quot;\n  print(f&#039;\u8bfb\u53d6\u539f\u59cb\u6570\u636e\u96c6\u6587\u4ef6: {file_path}&#039;)\n  with open(file_path, &#039;r&#039;, encoding=&#039;utf-8&#039;) as f:\n      if skip_header:\n          # \u8df3\u8fc7\u8868\u5934\u6570\u636e\n          f.readline()\n      reader = csv.reader(f)\n      return [row for row in reader]  # \u8bfb\u53d6csv\u6587\u4ef6\u7684\u5185\u5bb9\n\ndef print_unique_columns(data):\n    &quot;&quot;&quot;\n    \u6253\u5370\u8868\u683c\u6570\u636e\u4e2d\u6bcf\u4e00\u5217\u53bb\u91cd\u540e\u7684\u6570\u636e\u3002\n    \u53c2\u6570:\n        data (list): \u5305\u542b\u8868\u683c\u6570\u636e\u7684\u5217\u8868\u3002\n    &quot;&quot;&quot;\n    if not data:\n        print(&quot;\u6ca1\u6709\u8bfb\u53d6\u5230\u4efb\u4f55\u6570\u636e\u3002&quot;)\n        return\n\n    # \u83b7\u53d6\u6bcf\u4e00\u5217\u7684\u6570\u636e\n    columns = zip(*data)\n\n    # \u6253\u5370\u6bcf\u4e00\u5217\u53bb\u91cd\u540e\u7684\u6570\u636e\n    for i, column in enumerate(columns):\n        unique_values = set(column)\n        unique_count = len(unique_values)\n        print(f&quot;\u7b2c{i}\u5217\u53bb\u91cd\u540e\u7684\u6570\u636e(\u6700\u591a\u524d20\u4e2a):&quot;)\n\n        # \u5982\u679c\u6570\u636e\u5927\u4e8e20\u4e2a,\u5219\u53ea\u6253\u5370\u524d20\u4e2a\n        if unique_count &gt; 20:\n            for value in list(unique_values)[:20]:\n                print(value)\n            print(f&quot;\u5171 {unique_count} \u4e2a\u4e0d\u540c\u7684\u503c&quot;)\n        else:\n            for value in unique_values:\n                print(value)\n            print(f&quot;\u5171 {unique_count} \u4e2a\u4e0d\u540c\u7684\u503c&quot;)\n        print()\n\ndata = read_file(&#039;.\/\u6210\u4eba\u6536\u5165\u9884\u6d4b\u6570\u636e\u96c6.csv&#039;)\nprint_unique_columns(data)<\/code><\/pre>\n<p>\u8fd0\u884c\u7ed3\u679c\uff1a<\/p>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/06\/image-20240606230832245.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/06\/image-20240606230832245.png\" alt=\"\" \/><\/a><\/p>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/06\/image-20240606162918375.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/06\/image-20240606162918375.png\" alt=\"\" \/><\/a><\/p>\n<p>\u5bf9\u4e0a\u8ff0\u6bcf\u4e00\u5217\u5185\u5bb9\u8fdb\u884c\u68b3\u7406\uff0c\u68b3\u7406\u7ed3\u679c\u5982\u4e0b\uff1a<\/p>\n<table>\n<thead>\n<tr>\n<th style=\"text-align: left;\">\u5217\u7684\u5e8f\u53f7(\u7b2c\u51e0\u5217)<\/th>\n<th style=\"text-align: left;\">\u539f\u59cb\u6570\u636e\u8868\u5934\u540d\u79f0<\/th>\n<th style=\"text-align: left;\">\u8868\u5934\u540d\u79f0\u4e2d\u6587\u89e3\u91ca<\/th>\n<th style=\"text-align: left;\">\u5bf9\u5e94\u5217\u53d6\u503c\u4e3e\u4f8b<\/th>\n<th style=\"text-align: left;\">\u53d6\u503c\u4e2a\u6570<\/th>\n<th style=\"text-align: left;\">\u6570\u636e\u7c7b\u578b<\/th>\n<th style=\"text-align: left;\">\u6570\u636e\u5904\u7406\u529e\u6cd5<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td style=\"text-align: left;\">0<\/td>\n<td style=\"text-align: left;\">age<\/td>\n<td style=\"text-align: left;\">\u5e74\u9f84<\/td>\n<td style=\"text-align: left;\">69, 62, 37, 80, 34<\/td>\n<td style=\"text-align: left;\">73<\/td>\n<td style=\"text-align: left;\">\u8fde\u7eed\u91cf<\/td>\n<td style=\"text-align: left;\">\u4fdd\u7559<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: left;\">1<\/td>\n<td style=\"text-align: left;\">workclass<\/td>\n<td style=\"text-align: left;\">\u5de5\u4f5c\u7c7b\u578b<\/td>\n<td style=\"text-align: left;\">Without-pay, State-gov, Federal-gov<\/td>\n<td style=\"text-align: left;\">9<\/td>\n<td style=\"text-align: left;\">\u79bb\u6563\u91cf<\/td>\n<td style=\"text-align: left;\">\u4fdd\u7559<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: left;\">2<\/td>\n<td style=\"text-align: left;\">fnlwgt<\/td>\n<td style=\"text-align: left;\">\u7591\u4f3c\u90ae\u7f16\u7f16\u53f7<\/td>\n<td style=\"text-align: left;\">226092, 209770, 31840<\/td>\n<td style=\"text-align: left;\">21648<\/td>\n<td style=\"text-align: left;\">\u8fde\u7eed\u91cf<\/td>\n<td style=\"text-align: left;\">\u820d\u5f03<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: left;\">3<\/td>\n<td style=\"text-align: left;\">education<\/td>\n<td style=\"text-align: left;\">\u6559\u80b2\u7a0b\u5ea6<\/td>\n<td style=\"text-align: left;\">Masters, Bachelors, Some-college<\/td>\n<td style=\"text-align: left;\">16<\/td>\n<td style=\"text-align: left;\">\u79bb\u6563\u91cf<\/td>\n<td style=\"text-align: left;\">\u4fdd\u7559<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: left;\">4<\/td>\n<td style=\"text-align: left;\">education-num<\/td>\n<td style=\"text-align: left;\">\u6559\u80b2\u5e74\u9650<\/td>\n<td style=\"text-align: left;\">3, 4, 16, 2, 11<\/td>\n<td style=\"text-align: left;\">16<\/td>\n<td style=\"text-align: left;\">\u8fde\u7eed\u91cf<\/td>\n<td style=\"text-align: left;\">\u4fdd\u7559<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: left;\">5<\/td>\n<td style=\"text-align: left;\">marital-status<\/td>\n<td style=\"text-align: left;\">\u5a5a\u59fb\u72b6\u51b5<\/td>\n<td style=\"text-align: left;\">Divorced, Separated, Never-married<\/td>\n<td style=\"text-align: left;\">7<\/td>\n<td style=\"text-align: left;\">\u79bb\u6563\u91cf<\/td>\n<td style=\"text-align: left;\">\u4fdd\u7559<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: left;\">6<\/td>\n<td style=\"text-align: left;\">occupation<\/td>\n<td style=\"text-align: left;\">\u804c\u4e1a\u7c7b\u578b<\/td>\n<td style=\"text-align: left;\">Exec-managerial, Adm-clerical, Handlers-cleaners<\/td>\n<td style=\"text-align: left;\">15<\/td>\n<td style=\"text-align: left;\">\u79bb\u6563\u91cf<\/td>\n<td style=\"text-align: left;\">\u4fdd\u7559<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: left;\">7<\/td>\n<td style=\"text-align: left;\">relationship<\/td>\n<td style=\"text-align: left;\">\u5bb6\u5ead\u5173\u7cfb<\/td>\n<td style=\"text-align: left;\">Wife, Not-in-family, Other-relative<\/td>\n<td style=\"text-align: left;\">6<\/td>\n<td style=\"text-align: left;\">\u79bb\u6563\u91cf<\/td>\n<td style=\"text-align: left;\">\u4fdd\u7559<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: left;\">8<\/td>\n<td style=\"text-align: left;\">race<\/td>\n<td style=\"text-align: left;\">\u79cd\u65cf<\/td>\n<td style=\"text-align: left;\">Amer-Indian-Eskimo, White, Black<\/td>\n<td style=\"text-align: left;\">5<\/td>\n<td style=\"text-align: left;\">\u79bb\u6563\u91cf<\/td>\n<td style=\"text-align: left;\">\u4fdd\u7559<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: left;\">9<\/td>\n<td style=\"text-align: left;\">sex<\/td>\n<td style=\"text-align: left;\">\u6027\u522b<\/td>\n<td style=\"text-align: left;\">Female, Male<\/td>\n<td style=\"text-align: left;\">2<\/td>\n<td style=\"text-align: left;\">\u79bb\u6563\u91cf<\/td>\n<td style=\"text-align: left;\">\u4fdd\u7559<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: left;\">10<\/td>\n<td style=\"text-align: left;\">capital-gain<\/td>\n<td style=\"text-align: left;\">\u6295\u8d44\u5229\u5f97<\/td>\n<td style=\"text-align: left;\">3781, 2062, 401<\/td>\n<td style=\"text-align: left;\">119<\/td>\n<td style=\"text-align: left;\">\u8fde\u7eed\u91cf<\/td>\n<td style=\"text-align: left;\">\u4fdd\u7559<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: left;\">11<\/td>\n<td style=\"text-align: left;\">capital-loss<\/td>\n<td style=\"text-align: left;\">\u6295\u8d44\u635f\u5931<\/td>\n<td style=\"text-align: left;\">1816, 1876, 1762<\/td>\n<td style=\"text-align: left;\">92<\/td>\n<td style=\"text-align: left;\">\u8fde\u7eed\u91cf<\/td>\n<td style=\"text-align: left;\">\u4fdd\u7559<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: left;\">12<\/td>\n<td style=\"text-align: left;\">hours-per-week<\/td>\n<td style=\"text-align: left;\">\u6bcf\u5468\u5de5\u4f5c\u65f6\u957f<\/td>\n<td style=\"text-align: left;\">37, 80, 34<\/td>\n<td style=\"text-align: left;\">94<\/td>\n<td style=\"text-align: left;\">\u8fde\u7eed\u91cf<\/td>\n<td style=\"text-align: left;\">\u4fdd\u7559<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: left;\">13<\/td>\n<td style=\"text-align: left;\">native-country<\/td>\n<td style=\"text-align: left;\">\u51fa\u751f\u56fd\u5bb6<\/td>\n<td style=\"text-align: left;\">Japan, England, Guatemala<\/td>\n<td style=\"text-align: left;\">42<\/td>\n<td style=\"text-align: left;\">\u79bb\u6563\u91cf<\/td>\n<td style=\"text-align: left;\">\u4fdd\u7559<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u901a\u8fc7\u5206\u6790\u4e0a\u8ff0\u6bcf\u5217\u5185\u5bb9\u53ef\u77e5\uff1a<\/p>\n<ul>\n<li>\u6570\u636e\u96c6\u4e2d\uff0cage\u3001education-num\u3001capital-gain\u3001capital-loss\u3001hours-per-week\u7b49\u5b57\u6bb5\u7684\u5185\u5bb9\u4e00\u822c\u90fd\u662f\u6570\u5b57\uff0c\u53ef\u4ee5\u89c6\u4e3a\u8fde\u7eed\u91cf\u3002\u8fd9\u7c7b\u6570\u636e\u76f4\u63a5\u4f7f\u7528\u5373\u53ef\uff0c\u4e0d\u9700\u8981\u505a\u5411\u91cf\u5316\u5904\u7406(\u56e0\u4e3a\u662f\u6570\u5b57\uff0c\u673a\u5668\u80fd\u591f\u5904\u7406)\u3002<\/li>\n<li>\u6570\u636e\u96c6\u4e2d\uff0cworkclass\u3001education\u3001marital-status\u3001occupation\u3001relationship\u3001race\u3001sex\u3001native-country\u7b49\u5b57\u6bb5\u5185\u5bb9\u4e00\u822c\u90fd\u662f\u8868\u793a\u72b6\u6001\uff0c\u5c5e\u4e8e\u79bb\u6563\u91cf\uff1b\u7531\u4e8e\u5176\u5185\u5bb9\u4e0d\u662f\u6570\u5b57\uff0c\u4e3a\u4e86\u8ba9\u673a\u5668\u80fd\u591f\u5904\u7406\uff0c\u6211\u4eec\u540e\u7eed\u9700\u8981\u8fdb\u884c\u5411\u91cf\u5316\u5904\u7406\u3002<\/li>\n<li>\u6570\u636e\u96c6\u4e2d\uff0cfnlwgt\u7591\u4f3c\u662f\u8fde\u7eed\u91cf\uff0c\u4f46\u662f\u67e5\u770b\u53d6\u503c\u4e2a\u6570(21648)\u4e0e\u603b\u6837\u672c\u4e2a\u6570(32561\u4e2a)\u4e0d\u4e00\u81f4\uff0c\u6240\u4ee5\u786e\u5b9a\u8be5\u5217\u4e0d\u662f\u7c7b\u4f3c\u8eab\u4efd\u8bc1\u53f7\u7684\u552f\u4e00\u7f16\u53f7\u6570\u636e(\u5982\u679c\u8eab\u4efd\u8bc1\u53ef\u4ee5\u820d\u5f03\uff0c\u56e0\u4e3a\u8eab\u4efd\u8bc1\u8ddf\u6536\u5165\u6ca1\u5565\u5173\u7cfb)\uff1b\u8be5\u5217\u53ef\u80fd\u662f\u7c7b\u4f3c\u90ae\u7f16\u7684\u6570\u636e\uff0c\u867d\u7136\u90ae\u7f16\u53ef\u80fd\u4e0e\u6536\u5165\u6709\u4e00\u5b9a\u5173\u7cfb\uff0c\u4f46\u662f\u56e0\u4e3a\u5176\u53d6\u503c\u6570\u91cf\u6bd4\u8f83\u5927(21648\u4e2a)\uff0c\u8fd9\u4f1a\u5bfc\u81f4\u7279\u5f81\u6570\u636e\u8fc7\u53bb\u5e9e\u5927\uff0c\u6240\u4ee5\u9009\u62e9\u820d\u5f03\u3002<\/li>\n<\/ul>\n<h5><span class=\"ez-toc-section\" id=\"%E7%A6%BB%E6%95%A3%E9%87%8F%E7%9A%84%E7%BC%96%E7%A0%81\"><\/span>\u79bb\u6563\u91cf\u7684\u7f16\u7801<span class=\"ez-toc-section-end\"><\/span><\/h5>\n<p>\u901a\u8fc7\u4e0echatGPT\u4ea4\u6d41\uff0c\u6211\u4eec\u4e86\u89e3\u5230\uff0c\u79bb\u6563\u91cf\u7684\u7f16\u7801\u5e38\u89c1\u65b9\u5f0f\u6709<code>One-Hot\u7f16\u7801<\/code>\u3001<code>\u6807\u7b7e\u7f16\u7801<\/code>\u3001<code>\u5e8f\u6570\u7f16\u7801<\/code>\u3001<code>Target\u7f16\u7801<\/code>\u3001<code>\u54c8\u5e0c\u7f16\u7801<\/code>\u3001<code>\u5b9e\u4f53\u5d4c\u5165<\/code>\u3002<\/p>\n<details>\n<summary>\u70b9\u51fb\u5c55\u5f00\u8be6\u60c5<\/summary>\n<p>1. **One-Hot\u7f16\u7801**:<br \/>\n   &#8211; \u7f16\u7801\u65b9\u5f0f\uff1a\u5c06\u6bcf\u4e2a\u79bb\u6563\u7279\u5f81\u8f6c\u6362\u4e3a\u591a\u4e2a\u4e8c\u8fdb\u5236\u7279\u5f81\u3002<br \/>\n   &#8211; \u4f18\u70b9\uff1a\u80fd\u591f\u5f88\u597d\u5730\u8868\u793a\u5206\u7c7b\u7279\u5f81,\u4e0d\u4f1a\u5f15\u5165\u5927\u5c0f\u5173\u7cfb\u3002<br \/>\n   &#8211; \u7f3a\u70b9\uff1a\u4f1a\u589e\u52a0\u7279\u5f81\u7ef4\u5ea6\u3002<br \/>\n   &#8211; \u9002\u7528\u573a\u666f\uff1a\u9002\u7528\u4e8e\u6ca1\u6709\u5927\u5c0f\u5173\u7cfb\u7684\u5206\u7c7b\u7279\u5f81,\u5982\u6027\u522b\u3001\u4ea7\u54c1\u7c7b\u522b\u7b49\u3002<br \/>\n2. **\u6807\u7b7e\u7f16\u7801(Label Encoding)**:<br \/>\n   &#8211; \u7f16\u7801\u65b9\u5f0f\uff1a\u5c06\u6bcf\u4e2a\u79bb\u6563\u7279\u5f81\u7684\u53d6\u503c\u6620\u5c04\u4e3a\u4e00\u4e2a\u6574\u6570\u503c\u3002<br \/>\n   &#8211; \u4f18\u70b9\uff1a\u7b80\u5355\u76f4\u89c2\u3002<br \/>\n   &#8211; \u7f3a\u70b9\uff1a\u53ef\u80fd\u4f1a\u8ba9\u7b97\u6cd5\u8ba4\u4e3a\u7279\u5f81\u4e4b\u95f4\u5b58\u5728\u5927\u5c0f\u5173\u7cfb\u3002<br \/>\n   &#8211; \u9002\u7528\u573a\u666f\uff1a\u9002\u7528\u4e8e\u6ca1\u6709\u660e\u786e\u5927\u5c0f\u5173\u7cfb\u7684\u5206\u7c7b\u7279\u5f81,\u4f46\u8981\u6ce8\u610f\u53ef\u80fd\u5e26\u6765\u7684\u5f71\u54cd\u3002<br \/>\n3. **\u5e8f\u6570\u7f16\u7801(Ordinal Encoding)**:<br \/>\n   &#8211; \u7f16\u7801\u65b9\u5f0f\uff1a\u5c06\u6bcf\u4e2a\u79bb\u6563\u7279\u5f81\u7684\u53d6\u503c\u6620\u5c04\u4e3a\u4e00\u4e2a\u6709\u5e8f\u7684\u6574\u6570\u503c\u3002<br \/>\n   &#8211; \u4f18\u70b9\uff1a\u80fd\u591f\u4fdd\u7559\u7279\u5f81\u4e4b\u95f4\u7684\u5927\u5c0f\u5173\u7cfb\u3002<br \/>\n   &#8211; \u7f3a\u70b9\uff1a\u5bf9\u4e8e\u6ca1\u6709\u660e\u786e\u5927\u5c0f\u5173\u7cfb\u7684\u79bb\u6563\u7279\u5f81\u53ef\u80fd\u4e0d\u592a\u5408\u9002\u3002<br \/>\n   &#8211; \u9002\u7528\u573a\u666f\uff1a\u9002\u7528\u4e8e\u6709\u660e\u786e\u5927\u5c0f\u5173\u7cfb\u7684\u6709\u5e8f\u79bb\u6563\u7279\u5f81,\u5982\u5b66\u5386\u3001\u661f\u7ea7\u7b49\u3002<br \/>\n4. **Target\u7f16\u7801**:<br \/>\n   &#8211; \u7f16\u7801\u65b9\u5f0f\uff1a\u5c06\u6bcf\u4e2a\u79bb\u6563\u7279\u5f81\u7684\u53d6\u503c\u6620\u5c04\u4e3a\u76ee\u6807\u53d8\u91cf\u7684\u5e73\u5747\u503c\u6216\u4e2d\u4f4d\u6570\u3002<br \/>\n   &#8211; \u4f18\u70b9\uff1a\u80fd\u591f\u6355\u6349\u7279\u5f81\u53d6\u503c\u4e0e\u76ee\u6807\u53d8\u91cf\u4e4b\u95f4\u7684\u5173\u7cfb,\u901a\u5e38\u80fd\u63d0\u9ad8\u6a21\u578b\u6027\u80fd\u3002<br \/>\n   &#8211; \u7f3a\u70b9\uff1a\u9700\u8981\u63d0\u524d\u77e5\u9053\u76ee\u6807\u53d8\u91cf,\u4e0d\u9002\u7528\u4e8e\u65e0\u76d1\u7763\u5b66\u4e60\u3002<br \/>\n   &#8211; \u9002\u7528\u573a\u666f\uff1a\u9002\u7528\u4e8e\u6709\u76d1\u7763\u5b66\u4e60\u95ee\u9898\u4e2d,\u5f53\u76ee\u6807\u53d8\u91cf\u4e0e\u79bb\u6563\u7279\u5f81\u5b58\u5728\u76f8\u5173\u6027\u65f6\u3002<br \/>\n5. **\u54c8\u5e0c\u7f16\u7801**:<br \/>\n   &#8211; \u7f16\u7801\u65b9\u5f0f\uff1a\u5c06\u6bcf\u4e2a\u79bb\u6563\u7279\u5f81\u7684\u53d6\u503c\u901a\u8fc7\u54c8\u5e0c\u51fd\u6570\u6620\u5c04\u4e3a\u4e00\u4e2a\u6574\u6570\u503c\u3002<br \/>\n   &#8211; \u4f18\u70b9\uff1a\u5728\u5904\u7406\u9ad8\u57fa\u6570\u7279\u5f81\u65f6\u8f83\u4e3a\u6709\u6548,\u80fd\u51cf\u5c11\u5185\u5b58\u5360\u7528\u3002<br \/>\n   &#8211; \u7f3a\u70b9\uff1a\u53ef\u80fd\u4f1a\u4ea7\u751f\u51b2\u7a81,\u5bfc\u81f4\u4fe1\u606f\u4e22\u5931\u3002<br \/>\n   &#8211; \u9002\u7528\u573a\u666f\uff1a\u9002\u7528\u4e8e\u9ad8\u57fa\u6570\u79bb\u6563\u7279\u5f81,\u4e14\u5185\u5b58\u53d7\u9650\u7684\u60c5\u51b5\u4e0b\u3002<br \/>\n6. **\u5b9e\u4f53\u5d4c\u5165(Entity Embedding)**:<br \/>\n   &#8211; \u7f16\u7801\u65b9\u5f0f\uff1a\u5c06\u6bcf\u4e2a\u79bb\u6563\u7279\u5f81\u7684\u53d6\u503c\u6620\u5c04\u4e3a\u4e00\u4e2a\u4f4e\u7ef4\u7684\u7a20\u5bc6\u5411\u91cf\u3002<br \/>\n   &#8211; \u4f18\u70b9\uff1a\u80fd\u591f\u5b66\u4e60\u7279\u5f81\u4e4b\u95f4\u7684\u6f5c\u5728\u5173\u7cfb,\u901a\u5e38\u80fd\u63d0\u9ad8\u6a21\u578b\u6027\u80fd\u3002<br \/>\n   &#8211; \u7f3a\u70b9\uff1a\u9700\u8981\u989d\u5916\u7684\u8bad\u7ec3\u8fc7\u7a0b\u6765\u5b66\u4e60\u5d4c\u5165\u5411\u91cf\u3002<br \/>\n   &#8211; \u9002\u7528\u573a\u666f\uff1a\u9002\u7528\u4e8e\u590d\u6742\u7684\u673a\u5668\u5b66\u4e60\u95ee\u9898,\u5982\u81ea\u7136\u8bed\u8a00\u5904\u7406\u3001\u63a8\u8350\u7cfb\u7edf\u7b49,\u80fd\u591f\u66f4\u597d\u5730\u6355\u6349\u7279\u5f81\u4e4b\u95f4\u7684\u6f5c\u5728\u5173\u7cfb\u3002<br \/>\n<\/details>\n<p>\u5206\u6790\u4e0a\u8ff0\u7f16\u7801\u5185\u5bb9\uff0c\u5176\u4e2d<\/p>\n<ul>\n<li>\n<p><code>Target\u7f16\u7801<\/code>\u3001<code>\u54c8\u5e0c\u7f16\u7801<\/code>\u3001<code>\u5b9e\u4f53\u5d4c\u5165<\/code>\u6682\u672a\u5b66\u4e60\u5230\uff0c\u672c\u6b21\u6682\u4e0d\u505a\u8003\u8651\u3002<\/p>\n<\/li>\n<li>\n<p><code>\u6807\u7b7e\u7f16\u7801<\/code>\u3001<code>\u5e8f\u6570\u7f16\u7801<\/code>\u7531\u4e8e\u5176\u5b58\u5728\u6f5c\u5728\u7684\u6570\u5b57\u5927\u5c0f\u5bf9\u6bd4\uff0c\u8ba9\u7b97\u6cd5\u8ba4\u4e3a\u7279\u5f81\u4e4b\u95f4\u5b58\u5728\u5927\u5c0f\u5173\u7cfb\uff0c\u6240\u4ee5\u5e76\u4e0d\u9002\u7528\u4e8e\u4e0a\u8ff0\u7684\u5a5a\u59fb\u72b6\u51b5\u3001\u804c\u4e1a\u7c7b\u578b\u3001\u56fd\u5bb6\u7b49\u3002<\/p>\n<\/li>\n<\/ul>\n<p>\u6240\u4ee5\uff0c\u7efc\u4e0a\u6240\u8ff0\u672c\u6b21\u7ec3\u4e60\u4f7f\u7528One-Hot\u7f16\u7801\uff0c\u5176\u7f16\u7801\u793a\u610f\u56fe\u5982\u4e0b\uff1a<\/p>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/06\/image-20240605145353451.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/06\/image-20240605145353451.png\" alt=\"\" \/><\/a><\/p>\n<p>\u57fa\u4e8e\u4e0a\u9762\u7684\u601d\u60f3\uff0c\u6211\u4eec\u901a\u8fc7\u4e0eGPT\u6c9f\u901a\u4e86\u89e3\u5230\uff0csklearn\u7684\u5e93\u51fd\u6570\u4e2d\u6709OneHotEncoder\uff0c\u4f7f\u7528\u65b9\u6cd5\u5982\u4e0b\uff1a<\/p>\n<pre><code class=\"language-python\">import numpy as np\nfrom sklearn.preprocessing import OneHotEncoder\n\n# \u793a\u4f8b\u6570\u636e\ndata = np.array([\n    [&#039;A&#039;, &#039;X&#039;, &#039;P&#039;],\n    [&#039;B&#039;, &#039;Y&#039;, &#039;Q&#039;],\n    [&#039;A&#039;, &#039;X&#039;, &#039;R&#039;],\n    [&#039;B&#039;, &#039;Z&#039;, &#039;Q&#039;]\n])\n\n# \u521b\u5efa OneHotEncoder \u5b9e\u4f8b\nencoder = OneHotEncoder(sparse_output=False)\n\n# \u5bf9\u6570\u636e\u8fdb\u884cone-hot\u7f16\u7801\nencoded_data = encoder.fit_transform(data)\n\nprint(&quot;\u539f\u59cb\u6570\u636e:&quot;)\nprint(data)\nprint(&quot;\\n\u7f16\u7801\u540e\u7684\u6570\u636e:&quot;)\nprint(encoded_data)<\/code><\/pre>\n<p>\u6267\u884c\u7ed3\u679c\u5982\u4e0b\uff1a<\/p>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/06\/image-20240606231313789.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/06\/image-20240606231313789.png\" alt=\"\" \/><\/a><\/p>\n<h5><span class=\"ez-toc-section\" id=\"%E5%88%86%E7%A6%BB%E7%89%B9%E5%BE%81%E5%92%8C%E6%A0%87%E7%AD%BE\"><\/span>\u5206\u79bb\u7279\u5f81\u548c\u6807\u7b7e<span class=\"ez-toc-section-end\"><\/span><\/h5>\n<pre><code class=\"language-python\">def split_data(data):\n    &quot;&quot;&quot;\n    \u5c06\u6570\u636e\u5206\u5272\u4e3a\u6807\u7b7e\u548c\u6570\u636e\u3002\n    \u53c2\u6570:\n        data (list): \u6570\u636e\u884c\u7684\u5217\u8868\uff0c\u7b2c\u4e00\u4e2a\u5143\u7d20\u662f\u6807\u7b7e\u3002\n    \u8fd4\u56de:\n        numpy.ndarray: \u6807\u7b7e\u6570\u7ec4\u3002\n        numpy.ndarray: \u8fde\u63a5\u5143\u7d20\u540e\u7684\u6570\u636e\u6570\u7ec4\u3002\n    &quot;&quot;&quot;\n\n    # \u53bb\u9664\u6bcf\u4e2a\u5143\u7d20\u7684\u524d\u540e\u7a7a\u683c\n    data = [[col.strip() for col in row] for row in data]\n\n    # \u5206\u79bb\u6570\u636e\u548c\u6807\u7b7e\n    n_label = np.array([row[-1] for row in data])\n    n_data = np.array([row[:-1] for row in data])\n\n    return n_label, n_data\n\ncsv_data = read_file(&#039;.\/\u6210\u4eba\u6536\u5165\u9884\u6d4b\u6570\u636e\u96c6.csv&#039;)\nlabel, data = split_data(csv_data)\nlabel, data<\/code><\/pre>\n<p>\u8fd0\u884c\u7ed3\u679c\uff1a<\/p>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/06\/image-20240606231644489.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/06\/image-20240606231644489.png\" alt=\"\" \/><\/a><\/p>\n<h5><span class=\"ez-toc-section\" id=\"%E5%A4%84%E7%90%86%E7%89%B9%E5%BE%81%E5%88%97\"><\/span>\u5904\u7406\u7279\u5f81\u5217<span class=\"ez-toc-section-end\"><\/span><\/h5>\n<p>\u8fd9\u90e8\u5206\u7684\u5904\u7406\u8f83\u4e3a\u9ebb\u70e6\uff0c\u6574\u4f53\u601d\u8def\u662f\u8fd9\u6837\uff1a<\/p>\n<p>1\u3001\u5b9e\u73b0\u4e00\u4e2a\u51fd\u6570\uff0c\u4f20\u5165\u4e09\u4e2a\u53c2\u6570\uff1a\u5206\u522b\u662f\u79bb\u6563\u91cf\u5217\u7684\u5e8f\u53f7\u3001\u8fde\u7eed\u91cf\u5217\u5e8f\u53f7\u548c\u4e22\u5f03\u5217\u5e8f\u53f7<\/p>\n<p>2\u3001\u51fd\u6570\u6839\u636e\u4f20\u5165\u7684\u5217\u5e8f\u53f7\uff0c\u5206\u522b\u8fdb\u884c\u5982\u4e0b\u5904\u7406\uff1a<\/p>\n<ul>\n<li>\n<p>\u5982\u679c\u662f\u8fde\u7eed\u91cf\u5217\uff0c\u53d6\u51fa\u5bf9\u5e94\u7684\u5217\uff0c\u4e0d\u7528\u505a\u5904\u7406\uff1b<\/p>\n<\/li>\n<li>\n<p>\u5982\u679c\u662f\u79bb\u6563\u91cf\u5217\uff0c\u53d6\u51fa\u5bf9\u5e94\u7684\u5217\uff0c\u4f7f\u7528OneHotEncoder\u8fdb\u884c\u7f16\u7801<\/p>\n<\/li>\n<li>\n<p>\u5982\u679c\u662f\u4e22\u5f03\u5217\uff0c\u5219\u5728\u77e9\u9635\u4e2d\u5220\u9664\u5bf9\u5e94\u7684\u5217<\/p>\n<p>\u6700\u540e\uff0c\u5728\u53bb\u9664\u4e22\u5f03\u5217\u4e4b\u540e\uff0c\u5c06\u8fde\u7eed\u91cf\u5217\u548c\u79bb\u6563\u91cf\u5217\u6309\u7167\u5217\u65b9\u5411\u5806\u53e0\u4e3a\u4e00\u4e2a\u65b0\u7684\u77e9\u9635<\/p>\n<\/li>\n<\/ul>\n<pre><code class=\"language-python\">import numpy as np\nfrom sklearn.preprocessing import OneHotEncoder, StandardScaler\n\ndef vectorize_data_with_sklearn(data, onehot_cols, continuous_cols, exclude_cols=None):\n    &quot;&quot;&quot;\n    \u4f7f\u7528scikit-learn\u5c06\u7ed9\u5b9a\u7684NumPy\u6570\u7ec4\u4e2d\u7684\u6570\u636e\u8fdb\u884cone-hot\u7f16\u7801\u548c\u6807\u51c6\u5316\u5904\u7406\u3002\n\n    \u53c2\u6570:\n    data (np.ndarray): \u8f93\u5165\u7684NumPy\u6570\u7ec4\n    onehot_cols (list): \u9700\u8981\u8fdb\u884cone-hot\u7f16\u7801\u7684\u5217\u7d22\u5f15\n    continuous_cols (list): \u4e0d\u9700\u8981one-hot\u7f16\u7801\u7684\u8fde\u7eed\u91cf\u5217\u7d22\u5f15\n    exclude_cols (list, optional): \u9700\u8981\u6392\u9664\u7684\u5217\u7d22\u5f15\n\n    \u8fd4\u56de:\n    np.ndarray: \u7ecf\u8fc7one-hot\u7f16\u7801\u548c\u6807\u51c6\u5316\u7684\u5411\u91cf\u5316\u6570\u636e\n    &quot;&quot;&quot;\n    # \u6392\u9664\u4e0d\u9700\u8981\u5904\u7406\u7684\u5217\n    if exclude_cols:\n        data = np.delete(data, exclude_cols, axis=1)\n        onehot_cols = [col - sum(col &gt; exc for exc in exclude_cols) for col in onehot_cols if col not in exclude_cols]\n        # \u89e3\u91ca\u8fc7\u7a0b:\n        # 1. \u904d\u5386 onehot_cols \u4e2d\u7684\u6bcf\u4e2a\u7d22\u5f15 col\n        # 2. \u68c0\u67e5 col \u662f\u5426\u5728 exclude_cols \u4e2d\n        #    - \u5982\u679c\u5728,\u8ba1\u7b97 col \u5728 exclude_cols \u4e2d\u7684\u4f4d\u7f6e sum(col &gt; exc for exc in exclude_cols)\n        #    - \u5e76\u4ece col \u4e2d\u51cf\u53bb\u8fd9\u4e2a\u503c,\u66f4\u65b0 col \u7684\u7d22\u5f15\n        #    - \u4f8b\u5982: col = 1, \u5728 exclude_cols \u4e2d\u7684\u4f4d\u7f6e\u4e3a 0, \u5219\u66f4\u65b0\u540e col = 1 - 0 = 1\n        #    - \u2b50 \u8fd9\u6837\u53ef\u4ee5\u786e\u4fdd onehot_cols \u4e2d\u7684\u7d22\u5f15\u80fd\u6b63\u786e\u5bf9\u5e94\u5230\u6570\u636e\u7684\u5217\n        # 3. \u5982\u679c col \u4e0d\u5728 exclude_cols \u4e2d,\u5219\u4fdd\u7559\u539f\u59cb\u7d22\u5f15\n\n        continuous_cols = [col - sum(col &gt; exc for exc in exclude_cols) for col in continuous_cols if col not in exclude_cols]\n        # \u89e3\u91ca\u8fc7\u7a0b:\n        # 1. \u904d\u5386 continuous_cols \u4e2d\u7684\u6bcf\u4e2a\u7d22\u5f15 col\n        # 2. \u68c0\u67e5 col \u662f\u5426\u5728 exclude_cols \u4e2d\n        #    - \u5982\u679c\u5728,\u8ba1\u7b97 col \u5728 exclude_cols \u4e2d\u7684\u4f4d\u7f6e sum(col &gt; exc for exc in exclude_cols)\n        #    - \u5e76\u4ece col \u4e2d\u51cf\u53bb\u8fd9\u4e2a\u503c,\u66f4\u65b0 col \u7684\u7d22\u5f15\n        #    - \u4f8b\u5982: col = 2, \u5728 exclude_cols \u4e2d\u7684\u4f4d\u7f6e\u4e3a 0, \u5219\u66f4\u65b0\u540e col = 2 - 0 = 2\n        #    - \u2b50 \u8fd9\u6837\u53ef\u4ee5\u786e\u4fdd continuous_cols \u4e2d\u7684\u7d22\u5f15\u80fd\u6b63\u786e\u5bf9\u5e94\u5230\u6570\u636e\u7684\u5217\n        # 3. \u5982\u679c col \u4e0d\u5728 exclude_cols \u4e2d,\u5219\u4fdd\u7559\u539f\u59cb\u7d22\u5f15\n\n    else:\n        onehot_cols = onehot_cols[:]\n        continuous_cols = continuous_cols[:]\n\n    # \u5bf9\u79bb\u6563\u91cf\u5217\u8fdb\u884cone-hot\u7f16\u7801\n    onehot_encoder = OneHotEncoder(sparse_output=False)\n    one_hot_data = onehot_encoder.fit_transform(data[:, onehot_cols])\n\n    # \u5bf9\u8fde\u7eed\u91cf\u5217\u8fdb\u884c\u6807\u51c6\u5316\n    scaler = StandardScaler()\n    continuous_data = scaler.fit_transform(data[:, continuous_cols])\n\n    # \u5c06one-hot\u7f16\u7801\u7ed3\u679c\u548c\u6807\u51c6\u5316\u540e\u7684\u8fde\u7eed\u91cf\u5217\u62fc\u63a5\u8d77\u6765\n    final_data = np.hstack((one_hot_data, continuous_data))\n\n    return final_data\n\ncsv_data = read_file(&#039;.\/\u6210\u4eba\u6536\u5165\u9884\u6d4b\u6570\u636e\u96c6.csv&#039;)\nlabel, data = split_data(csv_data)\n\n# \u5bf9\u6570\u636e\u8fdb\u884c\u5207\u5206\nonehot_cols = [1, 3, 5, 6, 7, 8, 9, 13]\ncontinuous_cols = [0, 2, 4, 10, 11, 12]\n\n# \u6392\u9664\u5217\u589e\u52a0\u6700\u540e\u4e00\u5217\nexclude_cols = [2, 13]\nvectorized_data = vectorize_data_with_sklearn(data, onehot_cols, continuous_cols, exclude_cols)\nvectorized_data<\/code><\/pre>\n<p>\u8fd0\u884c\u7ed3\u679c\uff1a<\/p>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/06\/image-20240606232156777.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/06\/image-20240606232156777.png\" alt=\"\" \/><\/a><\/p>\n<h5><span class=\"ez-toc-section\" id=\"%E5%A4%84%E7%90%86%E6%A0%87%E7%AD%BE%E5%88%97\"><\/span>\u5904\u7406\u6807\u7b7e\u5217<span class=\"ez-toc-section-end\"><\/span><\/h5>\n<p>\u56e0\u4e3a\u6807\u7b7e\u5217\u7684\u5185\u5bb9\u53ea\u6709\u4e24\u79cd\u60c5\u51b5\uff1a'&lt;=50K&#8217; \u548c&#8217;&gt;50K&#8217;\uff0c\u6240\u4ee5\u53ea\u9700\u8981\u5c06\u8fd9\u4e00\u5217\u4e2d'&lt;=50K&#8217;\u66ff\u6362\u4e3a0\uff0c&#8217;&gt;50K&#8217;\u66ff\u6362\u4e3a1\u5373\u53ef\u3002<\/p>\n<pre><code class=\"language-python\">import numpy as np\nfrom sklearn.preprocessing import LabelBinarizer\n\ndef binarize_labels(labels):\n    &quot;&quot;&quot;\n    \u5c06\u6807\u7b7e\u4e8c\u503c\u5316\u3002\n    \u53c2\u6570:\n        labels (numpy.ndarray): \u539f\u59cb\u6807\u7b7e\u6570\u7ec4\u3002\n    \u8fd4\u56de:\n        numpy.ndarray: \u4e8c\u503c\u5316\u540e\u7684\u6807\u7b7e\u6570\u7ec4\u3002\n    &quot;&quot;&quot;\n    lb = LabelBinarizer()\n    binarized_labels = lb.fit_transform(labels)\n    return binarized_labels\n\nvectorized_label = binarize_labels(label)\nvectorized_label<\/code><\/pre>\n<h4><span class=\"ez-toc-section\" id=\"%E8%AF%95%E9%AA%8C%E7%AE%97%E6%B3%95\"><\/span>\u8bd5\u9a8c\u7b97\u6cd5<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p>\u4e3a\u4e86\u80fd\u591f\u5c06\u6574\u4e2a\u6d41\u7a0b\u8dd1\u901a\uff0c\u6211\u4eec\u4ecd\u7136\u9009\u62e9\u51b3\u7b56\u6811\u7b97\u6cd5\u8dd1\u901a\u6d41\u7a0b\u3002<\/p>\n<pre><code class=\"language-python\">\nfrom sklearn.model_selection import train_test_split\nfrom sklearn.tree import DecisionTreeClassifier\n\ndef decision_tree(label, data, test_size=0.2):\n    &quot;&quot;&quot;\n    \u51b3\u7b56\u6811\u6a21\u578b\u7684\u8bad\u7ec3\u548c\u8bc4\u4f30\u3002\n    \u53c2\u6570:\n        train_data_file_path (str): \u5411\u91cf\u5316\u6570\u636e\u7684\u6587\u4ef6\u8def\u5f84\u3002\n        test_size (float): \u6d4b\u8bd5\u96c6\u7684\u6bd4\u4f8b\uff0c\u9ed8\u8ba4\u4e3a0.2\u3002\n    &quot;&quot;&quot;\n    print(&#039;\u5f00\u59cb\u52a0\u8f7d\u8bad\u7ec3\u6570\u636e...&#039;)\n\n    # \u8bad\u7ec3\u96c6\u548c\u6d4b\u8bd5\u96c6\u5207\u5206\n    X_train, X_test, y_train, y_test = train_test_split(data, label, test_size=test_size)\n\n    print(&#039;\u5f00\u59cb\u8bad\u7ec3\u51b3\u7b56\u6811\u6a21\u578b...&#039;)\n    # \u6570\u636e\u9884\u6d4b\n    clf = DecisionTreeClassifier()\n    clf.fit(X_train, y_train)\n    y_pred = clf.predict(X_test)\n\n    # \u8bc4\u4f30\n    print(&#039;\u5f00\u59cb\u51b3\u7b56\u6811\u9884\u6d4b...&#039;)\n    accuracy = np.mean(y_pred == y_test)\n    print(f&#039;\u9884\u6d4b\u51c6\u786e\u7387\uff1a{accuracy}&#039;)\n\n# \u8bfb\u53d6\u6587\u4ef6\nlistdata = read_file(&#039;.\/\u6210\u4eba\u6536\u5165\u9884\u6d4b\u6570\u636e\u96c6.csv&#039;)\n# \u5bf9\u6570\u636e\u8fdb\u884c\u5207\u5206\nlabel, data = split_data(listdata)\n\n# \u5bf9\u6570\u636e\u8fdb\u884c\u5207\u5206\nonehot_cols = [1, 3, 5, 6, 7, 8, 9, 13]\ncontinuous_cols = [0, 2, 4, 10, 11, 12]\n\n# \u6392\u9664\u5217\u589e\u52a0\u6700\u540e\u4e00\u5217\nexclude_cols = [2, 13]    \nvectorized_data = vectorize_data_with_sklearn(data, onehot_cols, continuous_cols, exclude_cols)\nvectorized_label = binarize_labels(label)\n\ndecision_tree(vectorized_label, vectorized_data)<\/code><\/pre>\n<p>\u8fd0\u884c\u7ed3\u679c\uff1a<\/p>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/06\/image-20240606233549183.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/06\/image-20240606233549183.png\" alt=\"\" \/><\/a><\/p>\n<h4><span class=\"ez-toc-section\" id=\"%E5%B7%A5%E7%A8%8B%E4%BC%98%E5%8C%96\"><\/span>\u5de5\u7a0b\u4f18\u5316<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p>\u901a\u8fc7\u4ee5\u4e0a\u7684\u5de5\u4f5c\uff0c\u6574\u4f53\u6784\u5efa\u6570\u636e\u96c6\u2192\u8bad\u7ec3\u6a21\u578b\u2192\u9884\u6d4b\u6a21\u578b\u6d41\u7a0b\u5df2\u7ecf\u8dd1\u901a\uff0c\u63a5\u4e0b\u6765\u8fdb\u884c\u4ee3\u7801\u91cd\u6784\u4f18\u5316\u3002<\/p>\n<p>1\u3001\u5c06\u6574\u4f53\u4ee3\u7801\u4f7f\u7528\u9762\u5411\u5bf9\u8c61\u5c01\u88c5\u4e3a\u7c7b\u5b9e\u73b0<\/p>\n<p>2\u3001\u5728\u6a21\u578b\u9884\u6d4b\u90e8\u5206\u52a0\u5165KNN\u3001\u8d1d\u53f6\u65af\u3001\u7ebf\u6027\u56de\u5f52\u3001\u968f\u673a\u68ee\u6797\u3001SVC\u5411\u91cf\u673a\u7684\u65b9\u5f0f<\/p>\n<p>3\u3001\u5c06\u9884\u6d4b\u7ed3\u679c\u4f7f\u7528matplotlib\u7ed8\u5236\u51fa\u6765<\/p>\n<p>4\u3001\u7ed9\u5173\u952e\u4ee3\u7801\u5904\u589e\u52a0\u5e26\u6709\u65f6\u95f4\u6233\u7684\u65e5\u5fd7<\/p>\n<p>\u4ee5\u4e0a\u5de5\u4f5c\u5c31\u4ea4\u7ed9GPT\u6765\u5b8c\u6210\u4e86\uff0c\u6700\u540e\u91cd\u6784\u7684\u4ee3\u7801\u8bf7\u89c1<a href=\"https:\/\/github.com\/domonic18\/ml_predic_salary\">Github<\/a><\/p>\n<h4><span class=\"ez-toc-section\" id=\"%E9%81%B4%E9%80%89%E7%AE%97%E6%B3%95\"><\/span>\u9074\u9009\u7b97\u6cd5<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p>\u901a\u8fc7\u8fd0\u884c\u4e0a\u8ff0\u5de5\u7a0b\u4f18\u5316\u540e\u7684\u4ee3\u7801\uff0c\u6267\u884c\u7ed3\u679c\u5982\u4e0b\uff1a<\/p>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/06\/image-20240607001405209.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/06\/image-20240607001405209.png\" alt=\"\" \/><\/a><\/p>\n<p align=\"center\">\u6b22\u8fce\u5173\u6ce8\u516c\u4f17\u53f7\u4ee5\u83b7\u5f97\u6700\u65b0\u7684\u6587\u7ae0\u548c\u65b0\u95fb<\/p>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/09\/\u626b\u7801_\u641c\u7d22\u8054\u5408\u4f20\u64ad\u6837\u5f0f-\u767d\u8272\u7248.bmp\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/09\/\u626b\u7801_\u641c\u7d22\u8054\u5408\u4f20\u64ad\u6837\u5f0f-\u767d\u8272\u7248.bmp\" alt=\"\" \/><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u673a\u5668\u5b66\u4e60\u9879\u76ee\u5b9e\u6218\uff1a\u6210\u4eba\u6536\u5165\u9884\u6d4b \u9879\u76ee\u76ee\u7684 [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":2076,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"aside","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"default","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[28],"tags":[55],"class_list":["post-2088","post","type-post","status-publish","format-aside","has-post-thumbnail","hentry","category-blog","tag-55","post_format-post-format-aside"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.9 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>\u3010\u8bfe\u7a0b\u603b\u7ed3\u3011Day6\uff08\u4e0b\uff09\uff1a\u673a\u5668\u5b66\u4e60\u9879\u76ee\u5b9e\u6218\u2013\u6210\u4eba\u6536\u5165\u9884\u6d4b - \u4e00\u8d77AI\u6280\u672f<\/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:\/\/17aitech.com\/?p=2088\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/17aitech.com\\\/?p=2088#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/17aitech.com\\\/?p=2088\"},\"author\":{\"name\":\"Dongming\",\"@id\":\"https:\\\/\\\/17aitech.com\\\/#\\\/schema\\\/person\\\/3d23bb6f7f115fcefc9ae7803a691739\"},\"headline\":\"\u3010\u8bfe\u7a0b\u603b\u7ed3\u3011Day6\uff08\u4e0b\uff09\uff1a\u673a\u5668\u5b66\u4e60\u9879\u76ee\u5b9e\u6218\u2013\u6210\u4eba\u6536\u5165\u9884\u6d4b\",\"datePublished\":\"2024-06-06T16:21:42+00:00\",\"dateModified\":\"2024-10-08T07:21:59+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/17aitech.com\\\/?p=2088\"},\"wordCount\":129,\"commentCount\":2,\"image\":{\"@id\":\"https:\\\/\\\/17aitech.com\\\/?p=2088#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/17aitech.com\\\/wp-content\\\/uploads\\\/2024\\\/06\\\/\u5c01\u9762.png\",\"keywords\":[\"\u673a\u5668\u5b66\u4e60\"],\"articleSection\":[\"\u535a\u5ba2\u6587\u7ae0\"],\"inLanguage\":\"zh-Hans\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\\\/\\\/17aitech.com\\\/?p=2088#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/17aitech.com\\\/?p=2088\",\"url\":\"https:\\\/\\\/17aitech.com\\\/?p=2088\",\"name\":\"\u3010\u8bfe\u7a0b\u603b\u7ed3\u3011Day6\uff08\u4e0b\uff09\uff1a\u673a\u5668\u5b66\u4e60\u9879\u76ee\u5b9e\u6218\u2013\u6210\u4eba\u6536\u5165\u9884\u6d4b - 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