{"id":764,"date":"2024-05-05T20:33:08","date_gmt":"2024-05-05T12:33:08","guid":{"rendered":"http:\/\/madapapa.com\/wordpress\/?p=764"},"modified":"2024-05-05T20:35:04","modified_gmt":"2024-05-05T12:35:04","slug":"yongkimi-hechatgpt-lai-jie-shi-jue-ce-shu","status":"publish","type":"post","link":"http:\/\/madapapa.com\/wordpress\/?p=764","title":{"rendered":"\u7528kimi\u548cchatgpt\u6765\u89e3\u91ca\u51b3\u7b56\u6811"},"content":{"rendered":"<p><img decoding=\"async\" src=\"http:\/\/madapapa.com\/wordpress\/wp-content\/uploads\/2024\/05\/17149124321833.jpg\" alt=\"\" \/><\/p>\n<p>\u4ee5\u4e0b\u662fkimi\u5bf9\u4e0a\u9762\u56fe\u7247\u7684\u5206\u6790<br \/>\n\u60a8\u63d0\u4f9b\u7684\u6587\u4ef6\u5185\u5bb9\u4f3c\u4e4e\u662f\u51b3\u7b56\u6811\u7b97\u6cd5\u751f\u6210\u7684\u4e00\u4e2a\u51b3\u7b56\u6811\u7684\u6587\u672c\u8868\u793a\u3002\u8fd9\u4e2a\u51b3\u7b56\u6811\u7528\u4e8e\u5206\u7c7b\u4efb\u52a1\uff0c\u5176\u4e2d\u6bcf\u4e2a\u8282\u70b9\u90fd\u662f\u4e00\u4e2a\u51b3\u7b56\u70b9\uff0c\u6bcf\u4e2a\u53f6\u8282\u70b9\u4ee3\u8868\u4e00\u4e2a\u5206\u7c7b\u7ed3\u679c\u3002\u4ee5\u4e0b\u662f\u5bf9\u6587\u4ef6\u5185\u5bb9\u7684\u89e3\u91ca\uff1a<\/p>\n<ol>\n<li>\n<p><strong>\u6839\u8282\u70b9<\/strong>\uff1a\u51b3\u7b56\u6811\u4ece\u6839\u8282\u70b9\u5f00\u59cb\uff0c\u6839\u8282\u70b9\u7684\u51b3\u7b56\u6761\u4ef6\u662f <code>sub_grade &lt;= 7.5<\/code>\uff0c\u8868\u793a\u5b50\u7b49\u7ea7\uff08\u53ef\u80fd\u662f\u8d37\u6b3e\u98ce\u9669\u7b49\u7ea7\uff09\u5c0f\u4e8e\u6216\u7b49\u4e8e7.5\u3002\u8fd9\u4e2a\u8282\u70b9\u7684\u57fa\u5c3c\u4e0d\u7eaf\u5ea6\u6307\u6570\uff08Gini Index\uff09\u662f0.5\uff0c\u8868\u793a\u5728\u8be5\u8282\u70b9\u4e0b\uff0c\u6570\u636e\u96c6\u662f\u5b8c\u5168\u968f\u673a\u7684\uff0c\u5373\u6b63\u8d1f\u6837\u672c\u5404\u5360\u4e00\u534a\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u5de6\u5b50\u6811<\/strong>\uff1a\u5982\u679c <code>sub_grade &lt;= 7.5<\/code> \u4e3a\u771f\uff0c\u90a3\u4e48\u8fdb\u5165\u5de6\u5b50\u6811\u3002\u5de6\u5b50\u6811\u7684\u7b2c\u4e00\u4e2a\u51b3\u7b56\u70b9\u662f <code>total_rec_late_fee &lt;= 9.0<\/code>\uff0c\u8868\u793a\u6700\u8fd1\u8bb0\u5f55\u7684\u903e\u671f\u8d39\u7528\u5c0f\u4e8e\u6216\u7b49\u4e8e9.0\u3002\u8fd9\u4e2a\u8282\u70b9\u7684Gini\u6307\u6570\u662f0.436\uff0c\u8868\u793a\u6bd4\u6839\u8282\u70b9\u7a0d\u5fae\u7eaf\u51c0\u4e00\u4e9b\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u53f3\u5b50\u6811<\/strong>\uff1a\u5982\u679c <code>sub_grade &lt;= 7.5<\/code> \u4e3a\u5047\uff0c\u90a3\u4e48\u8fdb\u5165\u53f3\u5b50\u6811\u3002\u53f3\u5b50\u6811\u7684\u7b2c\u4e00\u4e2a\u51b3\u7b56\u70b9\u662f <code>sub_grade &lt;= 15.5<\/code>\uff0c\u8868\u793a\u5b50\u7b49\u7ea7\u5c0f\u4e8e\u6216\u7b49\u4e8e15.5\u3002\u8fd9\u4e2a\u8282\u70b9\u7684Gini\u6307\u6570\u662f0.49\uff0c\u8868\u793a\u8fd9\u4e2a\u5206\u652f\u7684\u6570\u636e\u96c6\u6bd4\u5de6\u5b50\u6811\u7684\u7a0d\u5fae\u4e0d\u7eaf\u51c0\u4e00\u4e9b\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u8fdb\u4e00\u6b65\u7684\u5206\u652f<\/strong>\uff1a\u6bcf\u4e2a\u5b50\u8282\u70b9\u90fd\u6709\u53ef\u80fd\u7ee7\u7eed\u5206\u652f\uff0c\u76f4\u5230\u6ee1\u8db3\u505c\u6b62\u6761\u4ef6\u3002\u4f8b\u5982\uff0c\u5de6\u5b50\u6811\u7684\u67d0\u4e2a\u5206\u652f\u8fdb\u4e00\u6b65\u6839\u636e <code>purpose &lt;= 1.5<\/code> \u8fdb\u884c\u51b3\u7b56\uff0c\u800c\u53f3\u5b50\u6811\u7684\u5206\u652f\u53ef\u80fd\u6839\u636e <code>total_rec_late_fee &lt;= 0.5<\/code> \u8fdb\u884c\u51b3\u7b56\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u53f6\u8282\u70b9<\/strong>\uff1a\u6700\u7ec8\uff0c\u6bcf\u4e2a\u5206\u652f\u90fd\u4f1a\u5230\u8fbe\u4e00\u4e2a\u53f6\u8282\u70b9\uff0c\u53f6\u8282\u70b9\u7ed9\u51fa\u4e86\u4e00\u4e2a\u5206\u7c7b\u7ed3\u679c\uff0c\u4f8b\u5982 <code>class = safe<\/code> \u6216 <code>class = not safe<\/code>\u3002\u8fd9\u4e9b\u53f6\u8282\u70b9\u7684Gini\u6307\u6570\u901a\u5e38\u8f83\u4f4e\uff0c\u8868\u793a\u5728\u8fd9\u4e9b\u8282\u70b9\u4e0b\u7684\u6570\u636e\u96c6\u5206\u7c7b\u975e\u5e38\u660e\u786e\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u6837\u672c\u6570\u91cf\u548c\u5206\u7c7b\u503c<\/strong>\uff1a\u6bcf\u4e2a\u8282\u70b9\u90fd\u5305\u542b\u4e86\u6837\u672c\u6570\u91cf\uff08<code>samples<\/code>\uff09\u548c\u5206\u7c7b\u503c\uff08<code>value<\/code>\uff09\uff0c\u5206\u7c7b\u503c\u662f\u4e00\u4e2a\u4e8c\u7ef4\u6570\u7ec4\uff0c\u7b2c\u4e00\u4e2a\u6570\u5b57\u4ee3\u8868\u6b63\u7c7b\uff08\u4f8b\u5982\u201csafe\u201d\uff09\uff0c\u7b2c\u4e8c\u4e2a\u6570\u5b57\u4ee3\u8868\u8d1f\u7c7b\uff08\u4f8b\u5982\u201cnot safe\u201d\uff09\u3002<\/p>\n<\/li>\n<li>\n<p><strong>Gini\u6307\u6570<\/strong>\uff1aGini\u6307\u6570\u662f\u4e00\u4e2a\u8861\u91cf\u6570\u636e\u96c6\u7eaf\u5ea6\u7684\u6307\u6807\uff0c\u503c\u8d8a\u4f4e\u8868\u793a\u6570\u636e\u96c6\u8d8a\u7eaf\u51c0\u3002\u5728\u51b3\u7b56\u6811\u4e2d\uff0c\u6211\u4eec\u5e0c\u671b\u5728\u6bcf\u4e2a\u8282\u70b9\u4e0a\u901a\u8fc7\u7279\u5f81\u9009\u62e9\u6765\u6700\u5927\u5316\u4fe1\u606f\u589e\u76ca\uff0c\u4ece\u800c\u964d\u4f4eGini\u6307\u6570\u3002<\/p>\n<\/li>\n<\/ol>\n<p>\u8fd9\u4e2a\u51b3\u7b56\u6811\u53ef\u80fd\u662f\u7528\u4e8e\u4fe1\u7528\u8bc4\u5206\u6216\u98ce\u9669\u8bc4\u4f30\u7684\uff0c\u5176\u4e2d <code>sub_grade<\/code> \u53ef\u80fd\u4ee3\u8868\u8d37\u6b3e\u7684\u5b50\u7b49\u7ea7\uff0c<code>total_rec_late_fee<\/code> \u53ef\u80fd\u4ee3\u8868\u603b\u7684\u6700\u8fd1\u8bb0\u5f55\u7684\u903e\u671f\u8d39\u7528\uff0c<code>purpose<\/code> \u53ef\u80fd\u4ee3\u8868\u8d37\u6b3e\u76ee\u7684\u3002\u6700\u7ec8\u7684\u5206\u7c7b\u7ed3\u679c <code>class<\/code> \u53ef\u80fd\u8868\u793a\u8d37\u6b3e\u662f\u5426\u88ab\u8ba4\u4e3a\u662f\u5b89\u5168\u7684\uff08safe\uff09\u6216\u4e0d\u5b89\u5168\u7684\uff08not safe\uff09\u3002<\/p>\n<p>\u4e0b\u9762\u662fchatgpt\u7684\u89e3\u91ca<\/p>\n<p>The image you&#8217;ve uploaded depicts a decision tree, which is used to model decisions and their possible consequences, in this case categorizing something as &quot;safe&quot; or &quot;not safe&quot; based on various features. Let&#8217;s break down this specific tree step-by-step:<\/p>\n<h3><a id=\"root-node\" class=\"anchor\" aria-hidden=\"true\"><span class=\"octicon octicon-link\"><\/span><\/a>Root Node<\/h3>\n<ul>\n<li><strong>Feature<\/strong>: <code>total_grade &lt;= 7.5<\/code><\/li>\n<li><strong>Gini<\/strong>: 0.5<\/li>\n<li><strong>Samples<\/strong>: 34881<\/li>\n<li><strong>Class Value<\/strong>: [17348, 17533]<\/li>\n<li><strong>Decision<\/strong>: This is the initial decision point. If the <code>total_grade<\/code> is less than or equal to 7.5, we follow the left branch. Otherwise, we follow the right branch. The class distribution nearly equally split between safe and not safe, indicating initial uncertainty (Gini = 0.5 shows maximum impurity).<\/li>\n<\/ul>\n<h3><a id=\"first-level\" class=\"anchor\" aria-hidden=\"true\"><span class=\"octicon octicon-link\"><\/span><\/a>First Level<\/h3>\n<h4><a id=\"left-branch\" class=\"anchor\" aria-hidden=\"true\"><span class=\"octicon octicon-link\"><\/span><\/a>Left Branch<\/h4>\n<ul>\n<li><strong>Feature<\/strong>: <code>grade &lt;= 0.5<\/code><\/li>\n<li><strong>Gini<\/strong>: 0.436<\/li>\n<li><strong>Samples<\/strong>: 10295<\/li>\n<li><strong>Class Value<\/strong>: [3303, 6992]<\/li>\n<li><strong>Decision<\/strong>: In this branch, we evaluate another feature, <code>grade<\/code>. If <code>grade<\/code> is less than or equal to 0.5, we move further left; otherwise, further right. The Gini coefficient has decreased, showing a decrease in impurity from the root.<\/li>\n<\/ul>\n<h4><a id=\"right-branch\" class=\"anchor\" aria-hidden=\"true\"><span class=\"octicon octicon-link\"><\/span><\/a>Right Branch<\/h4>\n<ul>\n<li><strong>Feature<\/strong>: <code>sub_grade &lt;= 15.5<\/code><\/li>\n<li><strong>Gini<\/strong>: 0.49<\/li>\n<li><strong>Samples<\/strong>: 24586<\/li>\n<li><strong>Class Value<\/strong>: [14045, 10541]<\/li>\n<li><strong>Decision<\/strong>: On this branch, the decision is based on <code>sub_grade<\/code>. A lower Gini than the root node, but still high, showing substantial impurity.<\/li>\n<\/ul>\n<h3><a id=\"further-branching\" class=\"anchor\" aria-hidden=\"true\"><span class=\"octicon octicon-link\"><\/span><\/a>Further Branching<\/h3>\n<p>Let&#8217;s detail one more depth level:<\/p>\n<h4><a id=\"further-left-on-the-first-left-branch-following-grade-0-5\" class=\"anchor\" aria-hidden=\"true\"><span class=\"octicon octicon-link\"><\/span><\/a>Further Left on the First Left Branch (following <code>grade &lt;= 0.5<\/code>)<\/h4>\n<ul>\n<li><strong>Left Sub-branch<\/strong>:\n<ul>\n<li>\n<p><strong>Feature<\/strong>: None (Leaf Node)<\/p>\n<\/li>\n<li>\n<p><strong>Gini<\/strong>: 0.352<\/p>\n<\/li>\n<li>\n<p><strong>Samples<\/strong>: 4621<\/p>\n<\/li>\n<li>\n<p><strong>Class Value<\/strong>: [1055, 3566]<\/p>\n<\/li>\n<li>\n<p><strong>Class<\/strong>: safe<\/p>\n<\/li>\n<li>\n<p><strong>Right Sub-branch<\/strong>:<\/p>\n<\/li>\n<li>\n<p><strong>Feature<\/strong>: <code>purpose &lt;= 1.5<\/code><\/p>\n<\/li>\n<li>\n<p><strong>Gini<\/strong>: 0.371<\/p>\n<\/li>\n<li>\n<p><strong>Samples<\/strong>: 346<\/p>\n<\/li>\n<li>\n<p><strong>Class Value<\/strong>: [261, 85]<\/p>\n<\/li>\n<li>\n<p><strong>Class<\/strong>: not safe<\/p>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>These nodes represent further decisions and classifications based on additional splits.<\/p>\n<h3><a id=\"observations\" class=\"anchor\" aria-hidden=\"true\"><span class=\"octicon octicon-link\"><\/span><\/a>Observations<\/h3>\n<ol>\n<li><strong>Path to Decision<\/strong>: Each path from the root to a leaf node represents a set of conditions that lead to a final classification (either &quot;safe&quot; or &quot;not safe&quot;).<\/li>\n<li><strong>Gini Impurity<\/strong>: A Gini index of 0 indicates perfect purity (all samples in a node fall into a single category). Nodes are created by selecting splits that decrease the Gini impurity among child nodes compared to their parent node.<\/li>\n<li><strong>Class Labels<\/strong>: These show the decision at each node, based on the majority of samples&#8217; classification if no further split can achieve better purity or other stopping criteria have been met (like maximum depth or minimum sample size at a node).<\/li>\n<\/ol>\n<p>This decision tree helps in making predictions by tracing through the tree with the values of the features in the dataset, following branches according to these values until a leaf node is reached, which gives the prediction.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u4ee5\u4e0b\u662fkimi\u5bf9\u4e0a\u9762\u56fe\u7247\u7684\u5206\u6790 \u60a8\u63d0\u4f9b\u7684\u6587\u4ef6\u5185\u5bb9\u4f3c\u4e4e\u662f\u51b3\u7b56\u6811\u7b97\u6cd5\u751f\u6210\u7684\u4e00\u4e2a\u51b3\u7b56\u6811\u7684\u6587\u672c\u8868\u793a\u3002\u8fd9\u4e2a\u51b3\u7b56\u6811\u7528\u4e8e\u5206\u7c7b\u4efb\u52a1\uff0c\u5176\u4e2d\u6bcf\u4e2a\u8282\u70b9\u90fd\u662f\u4e00\u4e2a\u51b3\u7b56\u70b9\uff0c\u6bcf\u4e2a\u53f6\u8282\u70b9\u4ee3\u8868\u4e00\u4e2a\u5206\u7c7b\u7ed3\u679c\u3002\u4ee5\u4e0b\u662f\u5bf9\u6587\u4ef6\u5185\u5bb9\u7684\u89e3\u91ca\uff1a \u6839\u8282\u70b9\uff1a\u51b3\u7b56\u6811\u4ece\u6839\u8282\u70b9\u5f00\u59cb\uff0c\u6839\u8282\u70b9\u7684\u51b3\u7b56\u6761\u4ef6\u662f sub_grade &lt;= 7.5\uff0c\u8868\u793a\u5b50\u7b49\u7ea7\uff08\u53ef\u80fd\u662f\u8d37\u6b3e\u98ce\u9669\u7b49\u7ea7\uff09\u5c0f\u4e8e\u6216\u7b49\u4e8e7.5\u3002\u8fd9\u4e2a\u8282\u70b9\u7684\u57fa\u5c3c\u4e0d\u7eaf\u5ea6\u6307\u6570\uff08Gini Index\uff09\u662f0.5\uff0c\u8868\u793a\u5728\u8be5\u8282\u70b9\u4e0b\uff0c\u6570\u636e\u96c6\u662f\u5b8c\u5168\u968f\u673a\u7684\uff0c\u5373\u6b63\u8d1f\u6837\u672c\u5404\u5360\u4e00\u534a\u3002 \u5de6\u5b50\u6811\uff1a\u5982\u679c sub_grade &lt;= 7.5 \u4e3a\u771f\uff0c\u90a3\u4e48\u8fdb\u5165\u5de6\u5b50\u6811\u3002\u5de6\u5b50\u6811\u7684\u7b2c\u4e00\u4e2a\u51b3\u7b56\u70b9\u662f total_rec_late_fee &lt;= 9.0\uff0c\u8868\u793a\u6700\u8fd1\u8bb0\u5f55\u7684\u903e\u671f\u8d39\u7528\u5c0f\u4e8e\u6216\u7b49\u4e8e9.0\u3002\u8fd9\u4e2a\u8282\u70b9\u7684Gini\u6307\u6570\u662f0.436\uff0c\u8868\u793a\u6bd4\u6839\u8282\u70b9\u7a0d\u5fae\u7eaf\u51c0\u4e00\u4e9b\u3002 \u53f3\u5b50\u6811\uff1a\u5982\u679c sub_grade &lt;= 7.5 \u4e3a\u5047\uff0c\u90a3\u4e48\u8fdb\u5165\u53f3\u5b50\u6811\u3002\u53f3\u5b50\u6811\u7684\u7b2c\u4e00\u4e2a\u51b3\u7b56\u70b9\u662f sub_grade &lt;= 15.5\uff0c\u8868\u793a\u5b50\u7b49\u7ea7\u5c0f\u4e8e\u6216\u7b49\u4e8e15.5\u3002\u8fd9\u4e2a\u8282\u70b9\u7684Gini\u6307\u6570\u662f0.49\uff0c\u8868\u793a\u8fd9\u4e2a\u5206\u652f\u7684\u6570\u636e\u96c6\u6bd4\u5de6\u5b50\u6811\u7684\u7a0d\u5fae\u4e0d\u7eaf\u51c0\u4e00\u4e9b\u3002 \u8fdb\u4e00\u6b65\u7684\u5206\u652f\uff1a\u6bcf\u4e2a\u5b50\u8282\u70b9\u90fd\u6709\u53ef\u80fd\u7ee7\u7eed\u5206\u652f\uff0c\u76f4\u5230\u6ee1\u8db3\u505c\u6b62\u6761\u4ef6\u3002\u4f8b\u5982\uff0c\u5de6\u5b50\u6811\u7684\u67d0\u4e2a\u5206\u652f\u8fdb\u4e00\u6b65\u6839\u636e purpose &lt;= 1.5 \u8fdb\u884c\u51b3\u7b56\uff0c\u800c\u53f3\u5b50\u6811\u7684\u5206\u652f\u53ef\u80fd\u6839\u636e total_rec_late_fee &lt;= 0.5 \u8fdb\u884c\u51b3\u7b56\u3002 \u53f6\u8282\u70b9\uff1a\u6700\u7ec8\uff0c\u6bcf\u4e2a\u5206\u652f\u90fd\u4f1a\u5230\u8fbe\u4e00\u4e2a\u53f6\u8282\u70b9\uff0c\u53f6\u8282\u70b9\u7ed9\u51fa\u4e86\u4e00\u4e2a\u5206\u7c7b\u7ed3\u679c\uff0c\u4f8b\u5982 class = safe \u6216 class = not safe\u3002\u8fd9\u4e9b\u53f6\u8282\u70b9\u7684Gini\u6307\u6570\u901a\u5e38\u8f83\u4f4e\uff0c\u8868\u793a\u5728\u8fd9\u4e9b\u8282\u70b9\u4e0b\u7684\u6570\u636e\u96c6\u5206\u7c7b\u975e\u5e38\u660e\u786e\u3002 \u6837\u672c\u6570\u91cf\u548c\u5206\u7c7b\u503c\uff1a\u6bcf\u4e2a\u8282\u70b9\u90fd\u5305\u542b\u4e86\u6837\u672c\u6570\u91cf\uff08samples\uff09\u548c\u5206\u7c7b\u503c\uff08value\uff09\uff0c\u5206\u7c7b\u503c\u662f\u4e00\u4e2a\u4e8c\u7ef4\u6570\u7ec4\uff0c\u7b2c\u4e00\u4e2a\u6570\u5b57\u4ee3\u8868\u6b63\u7c7b\uff08\u4f8b\u5982\u201csafe\u201d\uff09\uff0c\u7b2c\u4e8c\u4e2a\u6570\u5b57\u4ee3\u8868\u8d1f\u7c7b\uff08\u4f8b\u5982\u201cnot safe\u201d\uff09\u3002 Gini\u6307\u6570\uff1aGini\u6307\u6570\u662f\u4e00\u4e2a\u8861\u91cf\u6570\u636e\u96c6\u7eaf\u5ea6\u7684\u6307\u6807\uff0c\u503c\u8d8a\u4f4e\u8868\u793a\u6570\u636e\u96c6\u8d8a\u7eaf\u51c0\u3002\u5728\u51b3\u7b56\u6811\u4e2d\uff0c\u6211\u4eec\u5e0c\u671b\u5728\u6bcf\u4e2a\u8282\u70b9\u4e0a\u901a\u8fc7\u7279\u5f81\u9009\u62e9\u6765\u6700\u5927\u5316\u4fe1\u606f\u589e\u76ca\uff0c\u4ece\u800c\u964d\u4f4eGini\u6307\u6570\u3002 \u8fd9\u4e2a\u51b3\u7b56\u6811\u53ef\u80fd\u662f\u7528\u4e8e\u4fe1\u7528\u8bc4\u5206\u6216\u98ce\u9669\u8bc4\u4f30\u7684\uff0c\u5176\u4e2d sub_grade \u53ef\u80fd\u4ee3\u8868\u8d37\u6b3e\u7684\u5b50\u7b49\u7ea7\uff0ctotal_rec_late_fee \u53ef\u80fd\u4ee3\u8868\u603b\u7684\u6700\u8fd1\u8bb0\u5f55\u7684\u903e\u671f\u8d39\u7528\uff0cpurpose \u53ef\u80fd\u4ee3\u8868\u8d37\u6b3e\u76ee\u7684\u3002\u6700\u7ec8\u7684\u5206\u7c7b\u7ed3\u679c class \u53ef\u80fd\u8868\u793a\u8d37\u6b3e\u662f\u5426\u88ab\u8ba4\u4e3a\u662f\u5b89\u5168\u7684\uff08safe\uff09\u6216\u4e0d\u5b89\u5168\u7684\uff08not safe\uff09\u3002 \u4e0b\u9762\u662fchatgpt\u7684\u89e3\u91ca The image &hellip; <a href=\"http:\/\/madapapa.com\/wordpress\/?p=764\" class=\"more-link\">Continue reading <span class=\"screen-reader-text\">\u7528kimi\u548cchatgpt\u6765\u89e3\u91ca\u51b3\u7b56\u6811<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"footnotes":""},"categories":[48],"tags":[],"class_list":["post-764","post","type-post","status-publish","format-standard","hentry","category-artificial-intelligence"],"_links":{"self":[{"href":"http:\/\/madapapa.com\/wordpress\/index.php?rest_route=\/wp\/v2\/posts\/764","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/madapapa.com\/wordpress\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/madapapa.com\/wordpress\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/madapapa.com\/wordpress\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/madapapa.com\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=764"}],"version-history":[{"count":1,"href":"http:\/\/madapapa.com\/wordpress\/index.php?rest_route=\/wp\/v2\/posts\/764\/revisions"}],"predecessor-version":[{"id":765,"href":"http:\/\/madapapa.com\/wordpress\/index.php?rest_route=\/wp\/v2\/posts\/764\/revisions\/765"}],"wp:attachment":[{"href":"http:\/\/madapapa.com\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=764"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/madapapa.com\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=764"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/madapapa.com\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=764"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}