{"id":413403,"date":"2024-06-01T14:53:28","date_gmt":"2024-06-01T06:53:28","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/413403.html"},"modified":"2024-06-01T14:53:29","modified_gmt":"2024-06-01T06:53:29","slug":"%e5%8f%82%e6%95%b0%e7%ae%a1%e7%90%86%e5%bc%80%e6%ba%90%e9%a1%b9%e7%9b%ae%e6%9c%89%e5%93%aa%e4%ba%9b-3","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/413403.html","title":{"rendered":"\u53c2\u6570\u7ba1\u7406\u5f00\u6e90\u9879\u76ee\u6709\u54ea\u4e9b"},"content":{"rendered":"

\"\u53c2\u6570\u7ba1\u7406\u5f00\u6e90\u9879\u76ee\u6709\u54ea\u4e9b\"<\/p>\n

\u53c2\u6570\u7ba1\u7406\u5f00\u6e90\u9879\u76ee\u6709\u5f88\u591a\uff0c\u5305\u62ecMLflow\u3001TensorBoard\u3001Sacred\u3001Comet.ml\u3001Weights & Biases\u3001Guild AI<\/a>\u3002\u8fd9\u4e9b\u5de5\u5177\u5728\u673a\u5668\u5b66\u4e60<\/a>\u548c\u6570\u636e\u79d1\u5b66\u9879\u76ee\u4e2d\u88ab\u5e7f\u6cdb\u4f7f\u7528\uff0c\u80fd\u591f\u5e2e\u52a9\u5f00\u53d1\u8005\u66f4\u6709\u6548\u5730\u7ba1\u7406\u3001\u8ffd\u8e2a\u548c\u8bb0\u5f55\u5b9e\u9a8c\u53c2\u6570\u3001\u6a21\u578b\u548c\u7ed3\u679c\u3002<\/strong> \u5176\u4e2d\uff0cMLflow \u662f\u4e00\u4e2a\u529f\u80fd\u5f3a\u5927\u4e14\u5e7f\u6cdb\u4f7f\u7528\u7684\u5de5\u5177\uff0c\u9002\u7528\u4e8e\u6a21\u578b\u7ba1\u7406\u3001\u5b9e\u9a8c\u8ddf\u8e2a\u548c\u9879\u76ee\u90e8\u7f72\u3002MLflow \u63d0\u4f9b\u4e86\u4e00\u4e2a\u5168\u9762\u7684\u89e3\u51b3\u65b9\u6848\u6765\u7ba1\u7406\u673a\u5668\u5b66\u4e60\u751f\u547d\u5468\u671f\uff0c\u652f\u6301\u591a\u4e2a\u673a\u5668\u5b66\u4e60\u5e93\u548c\u5f00\u53d1\u6846\u67b6\uff0c\u5e76\u4e14\u6613\u4e8e\u96c6\u6210\u5230\u73b0\u6709\u7684\u5de5\u4f5c\u6d41\u7a0b\u4e2d\u3002<\/p>\n<\/p>\n

\u4e00\u3001MLflow<\/strong><\/h2>\n

MLflow \u662f\u4e00\u4e2a\u5f00\u6e90\u7684\u5e73\u53f0\uff0c\u65e8\u5728\u7ba1\u7406\u673a\u5668\u5b66\u4e60\u751f\u547d\u5468\u671f\uff0c\u5305\u62ec\u5b9e\u9a8c\u8ddf\u8e2a\u3001\u9879\u76ee\u7ba1\u7406<\/a>\u3001\u6a21\u578b\u7ba1\u7406\u548c\u90e8\u7f72\u3002\u5b83\u7684\u6838\u5fc3\u7ec4\u4ef6\u5305\u62ec\uff1a<\/p>\n<\/p>\n

\u5b9e\u9a8c\u8ddf\u8e2a<\/h2>\n<\/p>\n

MLflow \u63d0\u4f9b\u4e86\u4e00\u4e2a\u4fbf\u6377\u7684\u754c\u9762\u6765\u8bb0\u5f55\u548c\u67e5\u8be2\u5b9e\u9a8c\u7684\u53c2\u6570\u3001\u6307\u6807\u548c\u5143\u6570\u636e\u3002\u7528\u6237\u53ef\u4ee5\u901a\u8fc7\u7b80\u5355\u7684 API \u8c03\u7528\u6765\u8bb0\u5f55\u5b9e\u9a8c\u7ed3\u679c\uff0c\u5e76\u5728\u5b9e\u9a8c\u7ed3\u675f\u540e\u8fdb\u884c\u67e5\u8be2\u548c\u6bd4\u8f83\u3002\u8fd9\u4f7f\u5f97\u5f00\u53d1\u8005\u80fd\u591f\u8f7b\u677e\u5730\u91cd\u590d\u5b9e\u9a8c\uff0c\u5e76\u627e\u5230\u6700\u4f73\u7684\u6a21\u578b\u914d\u7f6e\u3002<\/p>\n<\/p>\n

\u9879\u76ee\u7ba1\u7406<\/h2>\n<\/p>\n

MLflow Projects \u5141\u8bb8\u7528\u6237\u7ec4\u7ec7\u548c\u5171\u4eab\u53ef\u91cd\u73b0\u7684\u673a\u5668\u5b66\u4e60\u9879\u76ee\u3002\u4e00\u4e2a\u9879\u76ee\u53ef\u4ee5\u5305\u542b\u4ee3\u7801\u3001\u4f9d\u8d56\u9879\u548c\u8fd0\u884c\u8bf4\u660e\uff0c\u65b9\u4fbf\u56e2\u961f\u534f\u4f5c\u548c\u4ee3\u7801\u91cd\u7528\u3002MLflow Projects \u652f\u6301\u591a\u79cd\u7f16\u7a0b\u8bed\u8a00\u548c\u73af\u5883\uff0c\u80fd\u591f\u81ea\u52a8\u5316\u9879\u76ee\u7684\u6267\u884c\u8fc7\u7a0b\u3002<\/p>\n<\/p>\n

\u6a21\u578b\u7ba1\u7406<\/h2>\n<\/p>\n

MLflow Models \u63d0\u4f9b\u4e86\u4e00\u79cd\u7edf\u4e00\u7684\u65b9\u5f0f\u6765\u5305\u88c5\u548c\u5171\u4eab\u673a\u5668\u5b66\u4e60\u6a21\u578b\u3002\u6a21\u578b\u53ef\u4ee5\u4fdd\u5b58\u4e3a\u591a\u79cd\u683c\u5f0f\uff0c\u5e76\u4e14\u53ef\u4ee5\u8f7b\u677e\u5730\u90e8\u7f72\u5230\u591a\u79cd\u5e73\u53f0\uff0c\u5305\u62ec\u672c\u5730\u73af\u5883\u3001\u4e91\u670d\u52a1\u548c\u8fb9\u7f18\u8bbe\u5907\u3002MLflow Models \u652f\u6301\u591a\u79cd\u4e3b\u6d41\u673a\u5668\u5b66\u4e60\u5e93\uff0c\u5982 TensorFlow\u3001PyTorch \u548c Scikit-learn\u3002<\/p>\n<\/p>\n

\u90e8\u7f72<\/h2>\n<\/p>\n

MLflow \u63d0\u4f9b\u4e86\u591a\u79cd\u6a21\u578b\u90e8\u7f72\u9009\u9879\uff0c\u5305\u62ec REST API \u670d\u52a1\u3001Azure ML\u3001AWS SageMaker \u548c Google Cloud AI Platform\u3002\u7528\u6237\u53ef\u4ee5\u9009\u62e9\u6700\u9002\u5408\u81ea\u5df1\u9879\u76ee\u9700\u6c42\u7684\u90e8\u7f72\u65b9\u5f0f\uff0c\u5feb\u901f\u5c06\u6a21\u578b\u6295\u5165\u751f\u4ea7\u73af\u5883\u3002<\/p>\n<\/p>\n

\u4e8c\u3001TensorBoard<\/strong><\/h2>\n

TensorBoard \u662f\u4e00\u4e2a\u7528\u4e8e\u673a\u5668\u5b66\u4e60\u5b9e\u9a8c\u53ef\u89c6\u5316\u7684\u5de5\u5177\uff0c\u4e3b\u8981\u7528\u4e8e TensorFlow \u9879\u76ee\u3002\u5b83\u63d0\u4f9b\u4e86\u591a\u79cd\u53ef\u89c6\u5316\u65b9\u6cd5\uff0c\u5e2e\u52a9\u5f00\u53d1\u8005\u7406\u89e3\u3001\u8c03\u8bd5\u548c\u4f18\u5316\u6a21\u578b\u3002<\/p>\n<\/p>\n

\u6570\u636e\u53ef\u89c6\u5316<\/h2>\n<\/p>\n

TensorBoard \u80fd\u591f\u5b9e\u65f6\u663e\u793a\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\u7684\u5404\u79cd\u6307\u6807\uff0c\u5982\u635f\u5931\u51fd\u6570\u3001\u7cbe\u5ea6\u7b49\u3002\u5b83\u8fd8\u652f\u6301\u5c55\u793a\u6a21\u578b\u7684\u8ba1\u7b97\u56fe\u3001\u6743\u91cd\u5206\u5e03\u548c\u6fc0\u6d3b\u503c\u5206\u5e03\u3002\u901a\u8fc7\u8fd9\u4e9b\u53ef\u89c6\u5316\u5de5\u5177\uff0c\u5f00\u53d1\u8005\u53ef\u4ee5\u66f4\u76f4\u89c2\u5730\u4e86\u89e3\u6a21\u578b\u7684\u8868\u73b0\u548c\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\u7684\u53d8\u5316\u3002<\/p>\n<\/p>\n

\u9ad8\u7ea7\u529f\u80fd<\/h2>\n<\/p>\n

TensorBoard \u8fd8\u63d0\u4f9b\u4e86\u4e00\u4e9b\u9ad8\u7ea7\u529f\u80fd\uff0c\u5982\u5d4c\u5165\u5f0f\u6295\u5f71\u3001\u8d85\u53c2\u6570\u8c03\u8282\u548c\u6027\u80fd\u5256\u6790\u3002\u5d4c\u5165\u5f0f\u6295\u5f71\u53ef\u4ee5\u5e2e\u52a9\u5f00\u53d1\u8005\u7406\u89e3\u9ad8\u7ef4\u6570\u636e\u7684\u7ed3\u6784\u548c\u5206\u5e03\uff0c\u8d85\u53c2\u6570\u8c03\u8282\u5141\u8bb8\u7528\u6237\u63a2\u7d22\u4e0d\u540c\u8d85\u53c2\u6570\u8bbe\u7f6e\u5bf9\u6a21\u578b\u6027\u80fd\u7684\u5f71\u54cd\uff0c\u800c\u6027\u80fd\u5256\u6790\u5219\u53ef\u4ee5\u5e2e\u52a9\u4f18\u5316\u6a21\u578b\u7684\u8ba1\u7b97\u6548\u7387\u3002<\/p>\n<\/p>\n

\u4e09\u3001Sacred<\/strong><\/h2>\n

Sacred \u662f\u4e00\u4e2a\u4e13\u4e3a\u5b9e\u9a8c\u8ddf\u8e2a\u8bbe\u8ba1\u7684\u5f00\u6e90\u5e93\uff0c\u65e8\u5728\u63d0\u9ad8\u5b9e\u9a8c\u7684\u53ef\u91cd\u590d\u6027\u548c\u53ef\u8ffd\u6eaf\u6027\u3002\u5b83\u63d0\u4f9b\u4e86\u4e00\u79cd\u7ed3\u6784\u5316\u7684\u65b9\u6cd5\u6765\u8bb0\u5f55\u548c\u7ba1\u7406\u5b9e\u9a8c\u53c2\u6570\u3001\u914d\u7f6e\u548c\u7ed3\u679c\u3002<\/p>\n<\/p>\n

\u914d\u7f6e\u7ba1\u7406<\/h2>\n<\/p>\n

Sacred \u5141\u8bb8\u7528\u6237\u901a\u8fc7\u914d\u7f6e\u6587\u4ef6\u6216\u547d\u4ee4\u884c\u53c2\u6570\u6765\u5b9a\u4e49\u5b9e\u9a8c\u7684\u53c2\u6570\u8bbe\u7f6e\u3002\u8fd9\u79cd\u65b9\u6cd5\u4f7f\u5f97\u5b9e\u9a8c\u914d\u7f6e\u66f4\u52a0\u900f\u660e\u548c\u53ef\u63a7\uff0c\u6709\u52a9\u4e8e\u56e2\u961f\u534f\u4f5c\u548c\u5b9e\u9a8c\u7684\u91cd\u73b0\u3002\u7528\u6237\u53ef\u4ee5\u8f7b\u677e\u5730\u4fee\u6539\u914d\u7f6e\u6587\u4ef6\uff0c\u4ee5\u6d4b\u8bd5\u4e0d\u540c\u7684\u53c2\u6570\u7ec4\u5408\u3002<\/p>\n<\/p>\n

\u5b9e\u9a8c\u8bb0\u5f55<\/h2>\n<\/p>\n

Sacred \u81ea\u52a8\u8bb0\u5f55\u6bcf\u6b21\u5b9e\u9a8c\u7684\u914d\u7f6e\u3001\u4ee3\u7801\u7248\u672c\u548c\u8f93\u51fa\u7ed3\u679c\u3002\u6240\u6709\u7684\u5b9e\u9a8c\u8bb0\u5f55\u90fd\u4fdd\u5b58\u5728\u4e00\u4e2a\u6570\u636e\u5e93\u4e2d\uff0c\u65b9\u4fbf\u540e\u671f\u67e5\u8be2\u548c\u6bd4\u8f83\u3002\u5f00\u53d1\u8005\u53ef\u4ee5\u901a\u8fc7 Sacred \u7684\u67e5\u8be2\u63a5\u53e3\uff0c\u5feb\u901f\u627e\u5230\u7279\u5b9a\u53c2\u6570\u8bbe\u7f6e\u4e0b\u7684\u5b9e\u9a8c\u7ed3\u679c\u3002<\/p>\n<\/p>\n

\u56db\u3001Comet.ml<\/strong><\/h2>\n

Comet.ml \u662f\u4e00\u4e2a\u5168\u9762\u7684\u673a\u5668\u5b66\u4e60\u5b9e\u9a8c\u7ba1\u7406\u5e73\u53f0\uff0c\u63d0\u4f9b\u4e86\u5b9e\u9a8c\u8ddf\u8e2a\u3001\u6a21\u578b\u7ba1\u7406\u548c\u534f\u4f5c\u5de5\u5177\u3002\u5b83\u652f\u6301\u591a\u79cd\u673a\u5668\u5b66\u4e60\u6846\u67b6\u548c\u7f16\u7a0b\u8bed\u8a00\uff0c\u9002\u7528\u4e8e\u5404\u79cd\u89c4\u6a21\u7684\u9879\u76ee\u3002<\/p>\n<\/p>\n

\u5b9e\u9a8c\u8ddf\u8e2a<\/h2>\n<\/p>\n

Comet.ml \u63d0\u4f9b\u4e86\u4e00\u4e2a\u5f3a\u5927\u7684\u5b9e\u9a8c\u8ddf\u8e2a\u529f\u80fd\uff0c\u80fd\u591f\u8bb0\u5f55\u548c\u53ef\u89c6\u5316\u5b9e\u9a8c\u7684\u53c2\u6570\u3001\u6307\u6807\u548c\u8f93\u51fa\u7ed3\u679c\u3002\u7528\u6237\u53ef\u4ee5\u901a\u8fc7\u7b80\u5355\u7684 API \u8c03\u7528\uff0c\u5c06\u5b9e\u9a8c\u6570\u636e\u4e0a\u4f20\u5230 Comet.ml \u7684\u4e91\u5e73\u53f0\uff0c\u5e76\u5728\u5e73\u53f0\u4e0a\u8fdb\u884c\u67e5\u8be2\u548c\u5206\u6790\u3002<\/p>\n<\/p>\n

\u534f\u4f5c\u5de5\u5177<\/h2>\n<\/p>\n

Comet.ml \u8fd8\u63d0\u4f9b\u4e86\u4e00\u7cfb\u5217\u534f\u4f5c\u5de5\u5177\uff0c\u5e2e\u52a9\u56e2\u961f\u6210\u5458\u5171\u4eab\u5b9e\u9a8c\u7ed3\u679c\u548c\u6a21\u578b\u3002\u7528\u6237\u53ef\u4ee5\u521b\u5efa\u9879\u76ee\u7ec4\uff0c\u9080\u8bf7\u56e2\u961f\u6210\u5458\u5171\u540c\u53c2\u4e0e\u5b9e\u9a8c\u7ba1\u7406\u548c\u7ed3\u679c\u5206\u6790\u3002\u5e73\u53f0\u8fd8\u652f\u6301\u8bc4\u8bba\u548c\u8ba8\u8bba\u529f\u80fd\uff0c\u65b9\u4fbf\u56e2\u961f\u6210\u5458\u4e4b\u95f4\u7684\u4ea4\u6d41\u548c\u53cd\u9988\u3002<\/p>\n<\/p>\n

\u4e94\u3001Weights & Biases<\/strong><\/h2>\n

Weights & Biases (W&B) \u662f\u4e00\u4e2a\u7528\u4e8e\u673a\u5668\u5b66\u4e60\u5b9e\u9a8c\u8ddf\u8e2a\u548c\u6a21\u578b\u7ba1\u7406\u7684\u5f00\u6e90\u5e73\u53f0\u3002\u5b83\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u53ef\u89c6\u5316\u548c\u534f\u4f5c\u5de5\u5177\uff0c\u5e2e\u52a9\u5f00\u53d1\u8005\u66f4\u597d\u5730\u7406\u89e3\u548c\u4f18\u5316\u6a21\u578b\u3002<\/p>\n<\/p>\n

\u5b9e\u9a8c\u8ddf\u8e2a<\/h2>\n<\/p>\n

W&B \u63d0\u4f9b\u4e86\u4e00\u4e2a\u7b80\u5355\u6613\u7528\u7684\u63a5\u53e3\uff0c\u80fd\u591f\u8bb0\u5f55\u548c\u53ef\u89c6\u5316\u5b9e\u9a8c\u7684\u53c2\u6570\u3001\u6307\u6807\u548c\u8f93\u51fa\u7ed3\u679c\u3002\u7528\u6237\u53ef\u4ee5\u901a\u8fc7 W&B \u7684\u4eea\u8868\u76d8\uff0c\u5b9e\u65f6\u67e5\u770b\u5b9e\u9a8c\u7684\u8fdb\u5c55\u548c\u6027\u80fd\u53d8\u5316\u3002\u5e73\u53f0\u8fd8\u652f\u6301\u591a\u79cd\u56fe\u8868\u548c\u53ef\u89c6\u5316\u5de5\u5177\uff0c\u5e2e\u52a9\u5f00\u53d1\u8005\u6df1\u5165\u5206\u6790\u5b9e\u9a8c\u7ed3\u679c\u3002<\/p>\n<\/p>\n

\u6a21\u578b\u7ba1\u7406<\/h2>\n<\/p>\n

W&B \u5141\u8bb8\u7528\u6237\u7ba1\u7406\u548c\u5206\u4eab\u673a\u5668\u5b66\u4e60\u6a21\u578b\u3002\u7528\u6237\u53ef\u4ee5\u5c06\u8bad\u7ec3\u597d\u7684\u6a21\u578b\u4e0a\u4f20\u5230\u5e73\u53f0\uff0c\u8bb0\u5f55\u6a21\u578b\u7684\u7248\u672c\u548c\u76f8\u5173\u5143\u6570\u636e\u3002\u5e73\u53f0\u8fd8\u652f\u6301\u6a21\u578b\u7684\u6bd4\u8f83\u548c\u8bc4\u4f30\uff0c\u5e2e\u52a9\u5f00\u53d1\u8005\u627e\u5230\u6700\u4f73\u7684\u6a21\u578b\u914d\u7f6e\u3002<\/p>\n<\/p>\n

\u516d\u3001Guild AI<\/strong><\/h2>\n

Guild AI \u662f\u4e00\u4e2a\u5f00\u6e90\u7684\u673a\u5668\u5b66\u4e60\u5b9e\u9a8c\u7ba1\u7406\u5de5\u5177\uff0c\u65e8\u5728\u7b80\u5316\u5b9e\u9a8c\u7684\u8ddf\u8e2a\u548c\u7ba1\u7406\u8fc7\u7a0b\u3002\u5b83\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u547d\u4ee4\u884c\u63a5\u53e3\u548c\u53ef\u89c6\u5316\u5de5\u5177\uff0c\u9002\u7528\u4e8e\u5404\u79cd\u89c4\u6a21\u7684\u9879\u76ee\u3002<\/p>\n<\/p>\n

\u5b9e\u9a8c\u7ba1\u7406<\/h2>\n<\/p>\n

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\u53ef\u89c6\u5316\u5de5\u5177<\/h2>\n<\/p>\n

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1. \u6709\u54ea\u4e9b\u70ed\u95e8\u7684\u53c2\u6570\u7ba1\u7406\u5f00\u6e90\u9879\u76ee\uff1f<\/strong><\/p>\n

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