{"id":1920,"date":"2023-11-21T10:06:35","date_gmt":"2023-11-21T02:06:35","guid":{"rendered":"http:\/\/zhang.mba\/?p=1920"},"modified":"2023-11-21T10:11:30","modified_gmt":"2023-11-21T02:11:30","slug":"bentomljiang-ji-qi-xue-xi-mo-xing-ji-qi-yi-lai-xia","status":"publish","type":"post","link":"https:\/\/zhang.mba\/index.php\/2023\/11\/21\/10\/06\/35\/1920\/bentomljiang-ji-qi-xue-xi-mo-xing-ji-qi-yi-lai-xia\/python\/zhangzhiqi\/","title":{"rendered":"BentoML-\u5c06\u673a\u5668\u5b66\u4e60\u6a21\u578b\u53ca\u5176\u4f9d\u8d56\u9879\u6253\u5305\u4e3a\u79f0\u4e3a \u201cBentoService\u201d \u7684\u6807\u51c6\u5316\u683c\u5f0f"},"content":{"rendered":"<p><strong>BentoML<\/strong><\/p>\n<p><strong><a href=\"https:\/\/github.com\/bentoml\/BentoML\">https:\/\/github.com\/bentoml\/BentoML<\/a><\/strong><\/p>\n<p>BentoML \u662f\u4e00\u4e2a\u7528\u4e8e\u6784\u5efa**\u300c\u53ef\u9760\u3001\u53ef\u6269\u5c55\u4e14\u7ecf\u6d4e\u9ad8\u6548\u7684 AI \u5e94\u7528\u7a0b\u5e8f\u7684\u300d**\u6846\u67b6\u3002\u5b83\u914d\u5907\u4e86\u6a21\u578b\u670d\u52a1\u3001\u5e94\u7528\u7a0b\u5e8f\u6253\u5305\u548c\u751f\u4ea7\u90e8\u7f72\u6240\u9700\u7684\u4e00\u5207\u3002<strong>\u5b83\u65e8\u5728\u7b80\u5316\u6d41\u7a0b\uff0c\u4f7f\u5176\u66f4\u52a0\u6613\u4e8e\u7ba1\u7406\u548c\u9ad8\u6548\u3002<\/strong><\/p>\n<p>\u200b\u00a0 \u00a0 \u00a0 \u00a0<\/p>\n<p>BentoML \u662f\u4e00\u4e2a\u5f00\u6e90\u6846\u67b6\uff0c\u53ef\u4ee5\u5c06\u673a\u5668\u5b66\u4e60\u6a21\u578b\u53ca\u5176\u4f9d\u8d56\u9879\u6253\u5305\u4e3a\u79f0\u4e3a \u201cBentoService\u201d \u7684\u6807\u51c6\u5316\u683c\u5f0f\u3002\u8fd9\u79cd\u683c\u5f0f\u5141\u8bb8\u5c06\u6a21\u578b\u65e0\u7f1d\u96c6\u6210\u5230\u5404\u79cd\u90e8\u7f72\u5e73\u53f0\u548c\u7cfb\u7edf\u4e2d\u3002<\/p>\n<h3><a id=\"%E7%89%B9%E7%82%B9\" class=\"anchor\" aria-hidden=\"true\"><span class=\"octicon octicon-link\"><\/span><\/a>\u7279\u70b9<\/h3>\n<p>BentoML \u5177\u6709\u5982\u4e0b\u7279\u70b9\u3002<\/p>\n<ul>\n<li>\n<p><strong>\u53ef\u6269\u5c55\u6027<\/strong>\uff1aBentoML \u65e8\u5728\u5904\u7406\u5927\u89c4\u6a21\u90e8\u7f72\uff0c\u4ece\u800c\u66f4\u8f7b\u677e\u5730\u5728\u9ad8\u9700\u6c42\u7cfb\u7edf\u4e0a\u63d0\u4f9b\u6a21\u578b\u670d\u52a1\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u96c6\u6210<\/strong>\uff1aBentoML \u63d0\u4f9b\u4e0e\u6d41\u884c\u7684\u90e8\u7f72\u5e73\u53f0\u3001\u4e91\u670d\u52a1\u548c\u5bb9\u5668\u5316\u5de5\u5177\u7684\u96c6\u6210\uff0c\u4f7f\u5176\u80fd\u591f\u9002\u5e94\u4e0d\u540c\u7684\u6280\u672f\u5806\u6808\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u7248\u672c\u63a7\u5236\u548c\u7ba1\u7406<\/strong>\uff1aBentoML \u4fc3\u8fdb\u4e86\u6a21\u578b\u7248\u672c\u63a7\u5236\u548c\u7ba1\u7406\uff0c\u53ef\u4ee5\u8f7b\u677e\u5730\u5728\u4e0d\u540c\u6a21\u578b\u7248\u672c\u4e4b\u95f4\u5207\u6362\u5e76\u8ddf\u8e2a\u66f4\u6539\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u76d1\u63a7\u548c\u65e5\u5fd7\u8bb0\u5f55<\/strong>\uff1aBentoML \u5305\u542b\u5bf9\u76d1\u63a7\u6a21\u578b\u6027\u80fd\u7684\u5185\u7f6e\u652f\u6301\uff0c\u652f\u6301\u6536\u96c6\u76f8\u5173\u6307\u6807\u548c\u65e5\u5fd7\u4ee5\u8fdb\u884c\u5206\u6790\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u5b89\u5168\u6027\u548c\u5408\u89c4\u6027<\/strong>\uff1aBentoML \u652f\u6301\u5b89\u5168\u6a21\u578b\u670d\u52a1\uff0c\u53ef\u4ee5\u66f4\u8f7b\u677e\u5730\u5b9e\u65bd\u5fc5\u8981\u7684\u5b89\u5168\u63aa\u65bd\u5e76\u9075\u5b88\u6570\u636e\u6cd5\u89c4\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u5ef6\u8fdf\u548c\u6027\u80fd<\/strong>\uff1aBentoML \u4f18\u5316\u6a21\u578b\u670d\u52a1\u4ee5\u63d0\u9ad8\u6027\u80fd\uff0c\u51cf\u5c11\u5ef6\u8fdf\u5e76\u786e\u4fdd\u9ad8\u6548\u7684\u5b9e\u65f6\u63a8\u7406\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u6a21\u578b\u518d\u73b0\u6027<\/strong>\uff1aBentoML \u6355\u83b7\u6a21\u578b\u670d\u52a1\u6240\u9700\u7684\u6240\u6709\u4f9d\u8d56\u9879\uff0c\u786e\u4fdd\u5f00\u53d1\u548c\u90e8\u7f72\u73af\u5883\u4e4b\u95f4\u7684\u518d\u73b0\u6027\u548c\u4e00\u81f4\u6027\u3002<\/p>\n<\/li>\n<\/ul>\n<p>\u603b\u4f53\u800c\u8a00\uff0cBentoML \u7b80\u5316\u4e86\u6253\u5305\u3001\u90e8\u7f72\u548c\u7ba1\u7406 AI \u6a21\u578b\u7684\u8fc7\u7a0b\uff0c\u4f7f\u6570\u636e\u79d1\u5b66\u5bb6\u548c\u5de5\u7a0b\u5e08\u80fd\u591f\u4e13\u6ce8\u4e8e\u6784\u5efa\u51fa\u8272\u7684\u6a21\u578b\uff0c\u800c\u4e0d\u4f1a\u56e0\u90e8\u7f72\u590d\u6742\u6027\u800c\u9677\u5165\u56f0\u5883\u3002<\/p>\n<h3><a id=\"%E5%88%9D%E4%BD%93%E9%AA%8C\" class=\"anchor\" aria-hidden=\"true\"><span class=\"octicon octicon-link\"><\/span><\/a>\u521d\u4f53\u9a8c<\/h3>\n<h4><a id=\"%E5%BA%93%E7%9A%84%E5%AE%89%E8%A3%85\" class=\"anchor\" aria-hidden=\"true\"><span class=\"octicon octicon-link\"><\/span><\/a>\u5e93\u7684\u5b89\u88c5<\/h4>\n<p>\u53ef\u4ee5\u76f4\u63a5\u4f7f\u7528 pip \u5b89\u88c5\u3002<\/p>\n<pre class=\"line-numbers\"><code class=\"language-python\">pip\u00a0install\u00a0bentoml\u00a0\n<\/code><\/pre>\n<p>\u4e3a\u4e86\u6709\u6548\u5730\u5229\u7528 BentoML\uff0c\u9700\u8981\u9075\u5faa\u4e24\u4e2a\u5173\u952e\u6d41\u7a0b\u3002<\/p>\n<ul>\n<li><strong>\u6a21\u578b\u6253\u5305<\/strong><\/li>\n<\/ul>\n<p>\u6b64\u8fc7\u7a0b\u5305\u62ec\u5c06\u4f60\u7684\u6a21\u578b\u4ee5\u53ca\u4efb\u4f55\u5fc5\u8981\u7684\u4f9d\u8d56\u9879\u5c01\u88c5\u5230\u53ef\u90e8\u7f72\u7684\u7ec4\u4ef6\u4e2d\u3002BentoML \u63d0\u4f9b\u4e86\u4e00\u79cd\u7b80\u5355\u4e14\u6807\u51c6\u5316\u7684\u65b9\u6cd5\u6765\u6253\u5305\u6a21\u578b\uff0c\u4ece\u800c\u5b9e\u73b0\u8f7b\u677e\u90e8\u7f72\u548c\u670d\u52a1\u3002<\/p>\n<ul>\n<li><strong>\u6a21\u578b\u670d\u52a1<\/strong><\/li>\n<\/ul>\n<p>\u6a21\u578b\u6253\u5305\u540e\uff0c\u4f60\u53ef\u4ee5\u4f7f\u7528 BentoML \u8fdb\u884c\u90e8\u7f72\u548c\u670d\u52a1\u3002<\/p>\n<p>\u8fd9\u6d89\u53ca\u8bbe\u7f6e\u670d\u52a1\u57fa\u7840\u8bbe\u65bd\u5e76\u516c\u5f00 API \u7aef\u70b9\u4ee5\u4e0e\u6a21\u578b\u4ea4\u4e92\u3002BentoML \u63d0\u4f9b\u5404\u79cd\u90e8\u7f72\u9009\u9879\uff0c\u4f8b\u5982\u5bb9\u5668\u5316\u3001\u65e0\u670d\u52a1\u5668\u90e8\u7f72\u6216\u4e91\u5e73\u53f0\u90e8\u7f72\uff0c\u8ba9\u4f60\u53ef\u4ee5\u9009\u62e9\u6700\u9002\u5408\u4f60\u9700\u6c42\u7684\u65b9\u6cd5\u3002<\/p>\n<p>\u200b\u00a0 \u00a0 \u00a0 \u00a0<\/p>\n<h4><a id=\"%E6%A8%A1%E5%9E%8B%E6%89%93%E5%8C%85\" class=\"anchor\" aria-hidden=\"true\"><span class=\"octicon octicon-link\"><\/span><\/a>\u6a21\u578b\u6253\u5305<\/h4>\n<p><strong>\u4ee5\u4e0b\u662f\u5982\u4f55\u4f7f\u7528 BentoML \u6253\u5305 scikit-learn \u6a21\u578b\u7684\u793a\u4f8b\u3002<\/strong><\/p>\n<p>\u6211\u4eec\u5c06\u4f7f\u7528 iris \u6570\u636e\u96c6\u8bad\u7ec3\u5206\u7c7b\u5668\u6a21\u578b\u3002<\/p>\n<pre class=\"line-numbers\"><code class=\"language-python\">from sklearn import svm, datasets\niris = datasets.load_iris()\nX, y = iris.data, iris.target\n\niris_clf = svm.SVC()\niris_clf.fit(X, y)\n\nimport bentoml\nbentoml.sklearn.save_model(&quot;iris_clf&quot;, iris_clf)\nprint ( f&quot;Model saving: {saved_model} &quot;)\n<\/code><\/pre>\n<p>\u5728\u6b64\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528 sklearn.datasets.load_iris() \u52a0\u8f7d Iris \u6570\u636e\u96c6\u3002\u7136\u540e\uff0c\u6211\u4eec\u4f7f\u7528 Iris \u6570\u636e\u96c6\u4e2d\u7684\u7279\u5f81 (X_train) \u548c\u6807\u7b7e (y_train) \u521b\u5efa\u5e76\u8bad\u7ec3 <strong>svm<\/strong> \u6a21\u578b\u3002<\/p>\n<p><strong>\u6700\u540e\uff0c\u6211\u4eec\u4f7f\u7528 bentoml.sklearn.save_model \u6765\u4fdd\u5b58\u8bad\u7ec3\u540e\u7684\u6a21\u578b\u3002<\/strong><\/p>\n<p>\u53ef\u4ee5\u901a\u8fc7\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\u67e5\u770b\u672c\u5730\u5b58\u50a8\u7684\u6240\u6709\u6a21\u578b\u3002<\/p>\n<pre class=\"line-numbers\"><code class=\"language-plain_text\">bentoml\u00a0models\u00a0list\u00a0\n<\/code><\/pre>\n<p><div class='fancybox-wrapper lazyload-container-unload' data-fancybox='post-images' href='https:\/\/mmbiz.qpic.cn\/mmbiz_png\/ibPqnScajrbENibic3HXRLK9Y3pD8o2XjvsRror8PXtLdmdre63VWScs7RQRLicshWS1zg8oR1tugUZzK7oPcZAR3A\/640?wx_fmt=png&amp;wxfrom=5&amp;wx_lazy=1&amp;wx_co=1'><img class=\"lazyload lazyload-style-2\" src=\"data:image\/svg+xml;base64,PCEtLUFyZ29uTG9hZGluZy0tPgo8c3ZnIHdpZHRoPSIxIiBoZWlnaHQ9IjEiIHhtbG5zPSJodHRwOi8vd3d3LnczLm9yZy8yMDAwL3N2ZyIgc3Ryb2tlPSIjZmZmZmZmMDAiPjxnPjwvZz4KPC9zdmc+\"  data-original=\"https:\/\/mmbiz.qpic.cn\/mmbiz_png\/ibPqnScajrbENibic3HXRLK9Y3pD8o2XjvsRror8PXtLdmdre63VWScs7RQRLicshWS1zg8oR1tugUZzK7oPcZAR3A\/640?wx_fmt=png&amp;wxfrom=5&amp;wx_lazy=1&amp;wx_co=1\" src=\"data:image\/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsQAAA7EAZUrDhsAAAANSURBVBhXYzh8+PB\/AAffA0nNPuCLAAAAAElFTkSuQmCC\" alt=\"\u56fe\u7247\" \/><\/div><\/p>\n<h4><a id=\"%E6%A8%A1%E5%9E%8B%E6%9C%8D%E5%8A%A1\" class=\"anchor\" aria-hidden=\"true\"><span class=\"octicon octicon-link\"><\/span><\/a>\u6a21\u578b\u670d\u52a1<\/h4>\n<p>\u51c6\u5907\u597d\u6a21\u578b\u540e\uff0c\u6211\u4eec\u5c31\u53ef\u4ee5\u5f00\u59cb\u521b\u5efa\u6a21\u578b\u670d\u52a1\u4e86\u3002<\/p>\n<pre class=\"line-numbers\"><code class=\"language-python\">import numpy as np\nimport bentoml\nfrom bentoml.io import NumpyNdarray\n\niris_clf_runner = bentoml.sklearn.get(&quot;iris_clf:latest&quot;).to_runner()\n\nsvc = bentoml.Service(&quot;iris_demo&quot;, runners=[iris_clf_runner])\n\n@svc.api(input=NumpyNdarray(), output=NumpyNdarray())\ndef classify(input_series: np.ndarray) -&gt; np.ndarray:\n    result = iris_clf_runner.run(input_series)\n    return result\n<\/code><\/pre>\n<p><code>@svc.api<\/code>\u88c5\u9970\u5668\u7528\u4e8e\u5b9a\u4e49 classify \u51fd\u6570\u7684\u7aef\u70b9\u3002<\/p>\n<p>\u88c5\u9970\u5668\u7684\u53c2\u6570<code>input<\/code>\u6307\u5b9a<code>classify<\/code>\u51fd\u6570\u7684\u8f93\u5165\u5e94\u8be5\u662f NumPy ndarray\uff0c\u800c<code>output<\/code>\u53c2\u6570\u6307\u793a\u51fd\u6570\u7684\u8f93\u51fa\u4e5f\u5e94\u8be5\u662f NumPy ndarray\u3002<\/p>\n<p><strong>\u603b\u7684\u6765\u8bf4\uff0c\u6b64\u4ee3\u7801\u5b9a\u4e49\u4e86\u4e00\u4e2a API \u7aef\u70b9\uff0c\u5b83\u63a5\u53d7 NumPy ndarray \u4f5c\u4e3a\u8f93\u5165\uff0c\u4f7f\u7528 iris_clf_runner \u8fdb\u884c\u5904\u7406\uff0c\u5e76\u5c06\u7ed3\u679c\u9884\u6d4b\u4f5c\u4e3a NumPy ndarray \u8fd4\u56de\u3002<\/strong><\/p>\n<p>\u73b0\u5728\u8ba9\u6211\u4eec\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u8fd0\u884c\u8be5\u670d\u52a1\uff1a<\/p>\n<pre class=\"line-numbers\"><code class=\"language-plain_text\">bentoml\u00a0serve\u00a0app.py:svc\u00a0--reload\n<\/code><\/pre>\n<p>\u901a\u8fc7\u8fd0\u884c\u6b64\u547d\u4ee4\uff0cBentoML \u670d\u52a1\u5668\u5c06\u542f\u52a8 app.py \u6587\u4ef6\u4e2d\u5b9a\u4e49\u7684\u6307\u5b9a\u670d\u52a1\u3002<\/p>\n<p><strong>svc \u8868\u793a app.py \u4e2d\u53ef\u7528\u7684\u670d\u52a1\u3002<\/strong><\/p>\n<p><strong>&#8211;reload \u8868\u793a\u5728\u4ee3\u7801\u53d1\u751f\u66f4\u6539\u65f6\u81ea\u52a8\u91cd\u65b0\u52a0\u8f7d\u670d\u52a1\u5668\u3002<\/strong><\/p>\n<p>\u6210\u529f\u540e\u4f1a\u6253\u5370\u51fa\u7c7b\u4f3c\u5982\u4e0b\u5185\u5bb9\u3002<\/p>\n<p><div class='fancybox-wrapper lazyload-container-unload' data-fancybox='post-images' href='https:\/\/mmbiz.qpic.cn\/mmbiz_png\/ibPqnScajrbENibic3HXRLK9Y3pD8o2Xjvswn0WEssaMo2pZYsDnESWkmfJ8sKRmpEy5ZlMoJicPm7gnS0s0YORgXQ\/640?wx_fmt=png&amp;wxfrom=5&amp;wx_lazy=1&amp;wx_co=1'><img class=\"lazyload lazyload-style-2\" src=\"data:image\/svg+xml;base64,PCEtLUFyZ29uTG9hZGluZy0tPgo8c3ZnIHdpZHRoPSIxIiBoZWlnaHQ9IjEiIHhtbG5zPSJodHRwOi8vd3d3LnczLm9yZy8yMDAwL3N2ZyIgc3Ryb2tlPSIjZmZmZmZmMDAiPjxnPjwvZz4KPC9zdmc+\"  data-original=\"https:\/\/mmbiz.qpic.cn\/mmbiz_png\/ibPqnScajrbENibic3HXRLK9Y3pD8o2Xjvswn0WEssaMo2pZYsDnESWkmfJ8sKRmpEy5ZlMoJicPm7gnS0s0YORgXQ\/640?wx_fmt=png&amp;wxfrom=5&amp;wx_lazy=1&amp;wx_co=1\" src=\"data:image\/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsQAAA7EAZUrDhsAAAANSURBVBhXYzh8+PB\/AAffA0nNPuCLAAAAAElFTkSuQmCC\" alt=\"\u56fe\u7247\" \/><\/div><\/p>\n<p>\u5230\u76ee\u524d\u4e3a\u6b62\uff0c\u6211\u4eec\u7684\u6a21\u578b\u5c31\u90e8\u7f72\u597d\u4e86\uff0c\u6211\u4eec\u901a\u8fc7 curl \u6765\u8bbf\u95ee\u5bf9\u5e94\u7684\u5730\u5740\uff0c\u770b\u4e00\u4e0b\u6548\u679c\u3002<\/p>\n<pre class=\"line-numbers\"><code class=\"language-plain_text\">curl\u00a0-X\u00a0'POST'\u00a0'http:\/\/0.0.0.0:3000\/classify'\u00a0-H\u00a0'accept:\u00a0application\/json'\u00a0\\-H\u00a0'Content-Type:\u00a0application\/json'\u00a0-d\u00a0'[[1,2,3,1]]'\n<\/code><\/pre>\n<p>\u6216\u8005\u901a\u8fc7\u5728\u6d4f\u89c8\u5668\u8bbf\u95ee <a href=\"http:\/\/0.0.0.0:3000\/\">http:\/\/0.0.0.0:3000\/<\/a> \u6765\u8fdb\u884c\u5c1d\u8bd5\u3002<\/p>\n<p><div class='fancybox-wrapper lazyload-container-unload' data-fancybox='post-images' href='https:\/\/mmbiz.qpic.cn\/mmbiz_png\/ibPqnScajrbENibic3HXRLK9Y3pD8o2Xjvs0RVf4vNSsyJicwz9KYvxAV9MO7mzZ8E1qibR4a55Be1Dy0wHnODibOJdw\/640?wx_fmt=png&amp;wxfrom=5&amp;wx_lazy=1&amp;wx_co=1'><img class=\"lazyload lazyload-style-2\" src=\"data:image\/svg+xml;base64,PCEtLUFyZ29uTG9hZGluZy0tPgo8c3ZnIHdpZHRoPSIxIiBoZWlnaHQ9IjEiIHhtbG5zPSJodHRwOi8vd3d3LnczLm9yZy8yMDAwL3N2ZyIgc3Ryb2tlPSIjZmZmZmZmMDAiPjxnPjwvZz4KPC9zdmc+\"  data-original=\"https:\/\/mmbiz.qpic.cn\/mmbiz_png\/ibPqnScajrbENibic3HXRLK9Y3pD8o2Xjvs0RVf4vNSsyJicwz9KYvxAV9MO7mzZ8E1qibR4a55Be1Dy0wHnODibOJdw\/640?wx_fmt=png&amp;wxfrom=5&amp;wx_lazy=1&amp;wx_co=1\" src=\"data:image\/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsQAAA7EAZUrDhsAAAANSURBVBhXYzh8+PB\/AAffA0nNPuCLAAAAAElFTkSuQmCC\" alt=\"\u56fe\u7247\" \/><\/div><\/p>\n<h4><a id=\"%E6%9E%84%E5%BB%BAdocker%E9%95%9C%E5%83%8F\" class=\"anchor\" aria-hidden=\"true\"><span class=\"octicon octicon-link\"><\/span><\/a>\u6784\u5efa docker \u955c\u50cf<\/h4>\n<p>\u9996\u5148\uff0c\u6211\u4eec\u9700\u8981\u521b\u5efa\u4e00\u4e2a bentofile.yaml \u6587\u4ef6\uff0c\u5185\u5bb9\u5982\u4e0b\u6240\u793a\u3002<\/p>\n<pre class=\"line-numbers\"><code class=\"language-python\">service:  &quot;app.py:svc&quot;\ninclude: \n  -  &quot;*.py&quot;\npython: \n  packages:\n   - numpy==1.23.5\n   - pandas==1.5.3\n   - scikit-learn==1.2.1\n   - pydantic==1.10.5\n<\/code><\/pre>\n<p>\u7136\u540e\u6211\u4eec\u6267\u884c\u3002<\/p>\n<pre class=\"line-numbers\"><code class=\"language-python\">bentoml\u00a0build\n<\/code><\/pre>\n<p>\u8f93\u51fa\u5982\u4e0b\u6240\u793a\u3002<\/p>\n<p><div class='fancybox-wrapper lazyload-container-unload' data-fancybox='post-images' href='https:\/\/mmbiz.qpic.cn\/mmbiz_png\/ibPqnScajrbENibic3HXRLK9Y3pD8o2Xjvsicy4kXSsVxJC7iawkWXD4H5rocTTpxCts3JHWBibFfWOhSdnmzWrqSoow\/640?wx_fmt=png&amp;wxfrom=5&amp;wx_lazy=1&amp;wx_co=1'><img class=\"lazyload lazyload-style-2\" src=\"data:image\/svg+xml;base64,PCEtLUFyZ29uTG9hZGluZy0tPgo8c3ZnIHdpZHRoPSIxIiBoZWlnaHQ9IjEiIHhtbG5zPSJodHRwOi8vd3d3LnczLm9yZy8yMDAwL3N2ZyIgc3Ryb2tlPSIjZmZmZmZmMDAiPjxnPjwvZz4KPC9zdmc+\"  data-original=\"https:\/\/mmbiz.qpic.cn\/mmbiz_png\/ibPqnScajrbENibic3HXRLK9Y3pD8o2Xjvsicy4kXSsVxJC7iawkWXD4H5rocTTpxCts3JHWBibFfWOhSdnmzWrqSoow\/640?wx_fmt=png&amp;wxfrom=5&amp;wx_lazy=1&amp;wx_co=1\" src=\"data:image\/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsQAAA7EAZUrDhsAAAANSURBVBhXYzh8+PB\/AAffA0nNPuCLAAAAAElFTkSuQmCC\" alt=\"\u56fe\u7247\" \/><\/div><\/p>\n<p>\u7136\u540e\u901a\u8fc7\u6267\u884c\u3002<\/p>\n<pre class=\"line-numbers\"><code class=\"language-python\">bentoml\u00a0containerize\u00a0iris_demo:lzkwsbdpf6n4bchj\n<\/code><\/pre>\n<p>\u547d\u4ee4\uff0c\u5c31\u53ef\u4ee5\u628a\u6a21\u578b\u6253\u5305\u6210 docker \u955c\u50cf\u3002<\/p>\n<p>\u6700\u540e\u8fd0\u884c\u5982\u4e0b\u547d\u4ee4\u6765\u542f\u52a8 docker \u670d\u52a1\u3002<\/p>\n<pre class=\"line-numbers\"><code class=\"language-python\">docker\u00a0run\u00a0-p\u00a03000:3000\u00a0iris_demo:lzkwsbdpf6n4bchj\n<\/code><\/pre>\n<p>\u603b\u4e4b\uff0cBentoML \u662f\u4e00\u4e2a\u529f\u80fd\u5f3a\u5927\u4e14\u7528\u6237\u53cb\u597d\u7684\u6846\u67b6\uff0c\u65e8\u5728\u7b80\u5316\u6253\u5305\u3001\u670d\u52a1\u548c\u90e8\u7f72\u673a\u5668\u5b66\u4e60\u6a21\u578b\u7684\u8fc7\u7a0b\u3002<\/p>\n<p>\u5b83\u7684\u591a\u529f\u80fd\u6027\u548c\u5bf9\u5404\u79cd\u90e8\u7f72\u9009\u9879\u7684\u652f\u6301\u4f7f\u5176\u6210\u4e3a\u5c06\u6a21\u578b\u96c6\u6210\u5230\u751f\u4ea7\u7cfb\u7edf\u4e2d\u7684\u7edd\u4f73\u9009\u62e9\uff0c\u51cf\u5c11\u4e86\u5f00\u53d1\u65f6\u95f4\u548c\u5de5\u4f5c\u91cf\uff0c\u540c\u65f6\u63d0\u9ad8\u4e86\u6574\u4f53\u6027\u80fd\u548c\u6548\u7387\u3002<\/p>\n<p>\u6765\u6e90\u2014\u2014\u2014\u2014\u7a0b\u5e8f\u5458\u5c0f\u5bd2<\/p>\n<!--CusAds0-->\n<div style=\"font-size: 0px; height: 0px; line-height: 0px; margin: 0; padding: 0; clear: both;\"><\/div>","protected":false},"excerpt":{"rendered":"<p>BentoML https:\/\/github.com\/bentoml\/BentoML BentoML \u662f\u4e00\u4e2a\u7528\u4e8e\u6784\u5efa**\u300c\u53ef\u9760\u3001\u53ef\u6269\u5c55\u4e14\u7ecf\u6d4e\u9ad8\u6548\u7684 AI \u5e94\u7528\u7a0b\u5e8f\u7684\u300d**\u6846\u67b6\u3002\u5b83\u914d\u5907\u4e86\u6a21\u578b\u670d\u52a1\u3001\u5e94\u7528\u7a0b\u5e8f\u6253\u5305\u548c\u751f\u4ea7\u90e8\u7f72\u6240\u9700\u7684\u4e00\u5207\u3002\u5b83\u65e8\u5728\u7b80\u5316\u6d41\u7a0b\uff0c\u4f7f\u5176\u66f4\u52a0\u6613\u4e8e\u7ba1\u7406\u548c\u9ad8\u6548\u3002 \u200b\u00a0 \u00a0 \u00a0 \u00a0 BentoML \u662f\u4e00\u4e2a\u5f00 &#8230;<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","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},"categories":[12,63],"tags":[54],"_links":{"self":[{"href":"https:\/\/zhang.mba\/index.php\/wp-json\/wp\/v2\/posts\/1920"}],"collection":[{"href":"https:\/\/zhang.mba\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/zhang.mba\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/zhang.mba\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/zhang.mba\/index.php\/wp-json\/wp\/v2\/comments?post=1920"}],"version-history":[{"count":0,"href":"https:\/\/zhang.mba\/index.php\/wp-json\/wp\/v2\/posts\/1920\/revisions"}],"wp:attachment":[{"href":"https:\/\/zhang.mba\/index.php\/wp-json\/wp\/v2\/media?parent=1920"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/zhang.mba\/index.php\/wp-json\/wp\/v2\/categories?post=1920"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/zhang.mba\/index.php\/wp-json\/wp\/v2\/tags?post=1920"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}