{"id":1116,"date":"2023-07-27T15:00:08","date_gmt":"2023-07-27T15:00:08","guid":{"rendered":"https:\/\/statorials.org\/cn\/%e4%bd%99%e5%bc%a6%e7%9b%b8%e4%bc%bc%e5%ba%a6-python\/"},"modified":"2023-07-27T15:00:08","modified_gmt":"2023-07-27T15:00:08","slug":"%e4%bd%99%e5%bc%a6%e7%9b%b8%e4%bc%bc%e5%ba%a6-python","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/%e4%bd%99%e5%bc%a6%e7%9b%b8%e4%bc%bc%e5%ba%a6-python\/","title":{"rendered":"\u5982\u4f55\u5728python\u4e2d\u8ba1\u7b97\u4f59\u5f26\u76f8\u4f3c\u5ea6"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>\u4f59\u5f26\u76f8\u4f3c\u5ea6<\/strong>\u662f\u5185\u79ef\u7a7a\u95f4\u7684\u4e24\u4e2a\u5411\u91cf\u4e4b\u95f4\u76f8\u4f3c\u5ea6\u7684\u5ea6\u91cf\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u5bf9\u4e8e\u4e24\u4e2a\u5411\u91cf A \u548c B\uff0c\u4f59\u5f26\u76f8\u4f3c\u5ea6\u8ba1\u7b97\u5982\u4e0b\uff1a<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u4f59\u5f26\u76f8\u4f3c\u5ea6<\/strong>= \u03a3A <sub>i<\/sub> B <sub>i<\/sub> \/ (\u221a\u03a3A <sub>i<\/sub> <sup>2<\/sup> \u221a\u03a3B <sub>i<\/sub> <sup>2<\/sup> )<\/span><\/p>\n<p><span style=\"color: #000000;\">\u672c\u6559\u7a0b\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528<a href=\"https:\/\/numpy.org\/doc\/stable\/index.html\" target=\"_blank\" rel=\"noopener noreferrer\">NumPy<\/a>\u5e93\u4e2d\u7684\u51fd\u6570\u5728 Python \u4e2d\u8ba1\u7b97\u5411\u91cf\u4e4b\u95f4\u7684\u4f59\u5f26\u76f8\u4f3c\u5ea6\u3002<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Python\u4e2d\u4e24\u4e2a\u5411\u91cf\u4e4b\u95f4\u7684\u4f59\u5f26\u76f8\u4f3c\u5ea6<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u4ee3\u7801\u5c55\u793a\u4e86\u5982\u4f55\u5728Python\u4e2d\u8ba1\u7b97\u4e24\u4e2a\u6570\u7ec4\u4e4b\u95f4\u7684\u4f59\u5f26\u76f8\u4f3c\u5ea6\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">from<\/span> numpy <span style=\"color: #008000;\">import<\/span> dot\n<span style=\"color: #008000;\">from<\/span> numpy. <span style=\"color: #3366ff;\">linalg<\/span> <span style=\"color: #008000;\">import<\/span> norm\n\n<span style=\"color: #008080;\">#define arrays\n<\/span>a = [23, 34, 44, 45, 42, 27, 33, 34]\nb = [17, 18, 22, 26, 26, 29, 31, 30]\n\n<span style=\"color: #008080;\">#calculate Cosine Similarity\n<\/span>cos_sim = <span style=\"color: #3366ff;\">dot<\/span> (a, b)\/( <span style=\"color: #3366ff;\">norm<\/span> (a)* <span style=\"color: #3366ff;\">norm<\/span> (b))\n\ncos_sim\n\n0.965195008357566\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u4e24\u4e2a\u8868\u4e4b\u95f4\u7684\u4f59\u5f26\u76f8\u4f3c\u5ea6\u4e3a<strong>0.965195<\/strong> \u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u8bf7\u6ce8\u610f\uff0c\u6b64\u65b9\u6cd5\u9002\u7528\u4e8e\u4efb\u610f\u957f\u5ea6\u7684\u4e24\u4e2a\u6570\u7ec4\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import <span style=\"color: #000000;\">numpy<\/span> as <span style=\"color: #000000;\">np<\/span>\nfrom<\/span> numpy <span style=\"color: #008000;\">import<\/span> dot\n<span style=\"color: #008000;\">from<\/span> numpy. <span style=\"color: #3366ff;\">linalg<\/span> <span style=\"color: #008000;\">import<\/span> norm\n\n<span style=\"color: #008080;\">#define arrays\n<\/span>a = np.random.randint(10, size= <span style=\"color: #008000;\">100<\/span> )\nb = np.random.randint(10, size= <span style=\"color: #008000;\">100<\/span> )\n\n<span style=\"color: #008080;\">#calculate Cosine Similarity\n<\/span>cos_sim = <span style=\"color: #3366ff;\">dot<\/span> (a, b)\/( <span style=\"color: #3366ff;\">norm<\/span> (a)* <span style=\"color: #3366ff;\">norm<\/span> (b))\n\ncos_sim\n\n0.7340201613960431<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u4f46\u662f\uff0c\u8fd9\u4ec5\u5728\u4e24\u4e2a\u6570\u7ec4\u957f\u5ea6\u76f8\u540c\u65f6\u624d\u6709\u6548\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import <span style=\"color: #000000;\">numpy<\/span> as <span style=\"color: #000000;\">np<\/span>\nfrom<\/span> numpy <span style=\"color: #008000;\">import<\/span> dot\n<span style=\"color: #008000;\">from<\/span> numpy. <span style=\"color: #3366ff;\">linalg<\/span> <span style=\"color: #008000;\">import<\/span> norm\n\n<span style=\"color: #008080;\">#define arrays\n<\/span>a = np.random.randint(10, size= <span style=\"color: #008000;\">90<\/span> ) <span style=\"color: #008080;\">#length=90<\/span>\nb = np.random.randint(10, size= <span style=\"color: #008000;\">100<\/span> ) <span style=\"color: #008080;\">#length=100<\/span>\n\n<span style=\"color: #008080;\">#calculate Cosine Similarity\n<\/span>cos_sim = <span style=\"color: #3366ff;\">dot<\/span> (a, b)\/( <span style=\"color: #3366ff;\">norm<\/span> (a)* <span style=\"color: #3366ff;\">norm<\/span> (b))\n\ncos_sim\n\n<span style=\"color: #993300;\">ValueError<\/span> : shapes (90,) and (100,) not aligned: 90 (dim 0) != 100 (dim 0)\n<\/strong><\/pre>\n<h3><span style=\"color: #000000;\"><strong>\u8bc4\u8bba<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\"><strong>1.<\/strong>\u4f7f\u7528 Python \u8ba1\u7b97\u4f59\u5f26\u76f8\u4f3c\u5ea6\u7684\u65b9\u6cd5\u6709\u591a\u79cd\uff0c\u4f46\u6b63\u5982<a href=\"https:\/\/stackoverflow.com\/questions\/18424228\/cosine-similarity-between-2-number-lists\" target=\"_blank\" rel=\"noopener noreferrer\">Stack Overflow \u7ebf\u7a0b<\/a>\u6240\u89e3\u91ca\u7684\uff0c\u672c\u6587\u4e2d\u89e3\u91ca\u7684\u65b9\u6cd5\u662f\u6700\u5feb\u7684\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>2.<\/strong>\u8bf7\u53c2\u9605<a href=\"https:\/\/en.wikipedia.org\/wiki\/Cosine_similarity\" target=\"_blank\" rel=\"noopener noreferrer\">\u6b64\u7ef4\u57fa\u767e\u79d1\u9875\u9762<\/a>\u4ee5\u4e86\u89e3\u6709\u5173\u4f59\u5f26\u76f8\u4f3c\u5ea6\u7684\u66f4\u591a\u4fe1\u606f\u3002<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u4f59\u5f26\u76f8\u4f3c\u5ea6\u662f\u5185\u79ef\u7a7a\u95f4\u7684\u4e24\u4e2a\u5411\u91cf\u4e4b\u95f4\u76f8\u4f3c\u5ea6\u7684\u5ea6\u91cf\u3002 \u5bf9\u4e8e\u4e24\u4e2a\u5411\u91cf A \u548c B\uff0c\u4f59\u5f26\u76f8\u4f3c\u5ea6\u8ba1\u7b97\u5982\u4e0b\uff1a \u4f59\u5f26\u76f8\u4f3c\u5ea6= [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"class_list":["post-1116","post","type-post","status-publish","format-standard","hentry","category-11"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ 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