![\"Image\"](\"https:\/\/www.artefact.com\/\/wp-content\/uploads\/2021\/10\/kais-laribi.jpeg\")
![](\"https:\/\/www.artefact.com\/\/wp-content\/uploads\/2021\/04\/Medium-Blog.png\" "\\"\u4e2d\u578b")
<\/span><\/div>\u7b2c 1 \u90e8\u5206 - \u5982\u4f55\u5728 Kubernetes \u4e0a\u90e8\u7f72 Mlflow \u8ddf\u8e2a\u5b9e\u4f8b\uff1f<\/h1><\/div>\u5bfc\u8a00<\/h2><\/div>Mlflow \u662f data \u79d1\u5b66\/ML \u793e\u533a\u5e7f\u6cdb\u4f7f\u7528\u7684\u5de5\u5177\uff0c\u7528\u4e8e\u5728\u4e0d\u540c\u9636\u6bb5\u8ddf\u8e2a\u5b9e\u9a8c\u548c\u7ba1\u7406\u673a\u5668\u5b66\u4e60\u6a21\u578b\u3002\u5229\u7528\u5b83\uff0c\u6211\u4eec\u53ef\u4ee5\u5b58\u50a8\u6307\u6807\u3001\u6a21\u578b\u548c\u5de5\u4ef6\uff0c\u4ece\u800c\u8f7b\u677e\u6bd4\u8f83\u6a21\u578b\u7684\u6027\u80fd\u5e76\u5904\u7406\u5176\u751f\u547d\u5468\u671f\u3002\u6b64\u5916\uff0cMlflow \u8fd8\u63d0\u4f9b\u4e86\u4e00\u4e2a\u6a21\u5757\uff0c\u53ef\u5c06\u6a21\u578b\u4f5c\u4e3a API \u7aef\u70b9\u63d0\u4f9b\uff0c\u4ece\u800c\u65b9\u4fbf\u5c06\u5176\u96c6\u6210\u5230\u4efb\u4f55\u4ea7\u54c1\u6216\u7f51\u7edc\u5e94\u7528\u7a0b\u5e8f\u4e2d\u3002.<\/p>\n<\/div>
\u4e5f\u5c31\u662f\u8bf4\uff0c\u5728\u5728\u7ebf\u4ea7\u54c1\u4e2d\u4f7f\u7528\u673a\u5668\u5b66\u4e60\u5f88\u9177\uff0c\u4f46\u6839\u636e\u6a21\u578b\u7684\u5927\u5c0f\u3001\u6027\u8d28\uff08ML\u3001\u6df1\u5ea6\u5b66\u4e60......\uff09\u548c\u8d1f\u8f7d\uff08\u7528\u6237\u8bf7\u6c42\uff09\uff0c\u5bf9\u6240\u9700\u8d44\u6e90\u8fdb\u884c\u7ef4\u5ea6\u8c03\u6574\u5e76\u4fdd\u8bc1\u5408\u7406\u7684\u54cd\u5e94\u65f6\u95f4\u53ef\u80fd\u5177\u6709\u6311\u6218\u6027\u3002\u56e0\u6b64\uff0c\u4f7f\u7528 Kubernetes \u96c6\u7fa4\u7b49\u53ef\u6269\u5c55\u57fa\u7840\u8bbe\u65bd\u662f\u5728\u63a8\u7406\u9636\u6bb5\u4fdd\u6301\u670d\u52a1\u53ef\u7528\u6027\u548c\u6027\u80fd\u7684\u5173\u952e\u3002.<\/p>\n
\u4e3a\u6b64\uff0c\u6211\u4eec\u5c06\u53d1\u8868\u4e09\u7bc7\u7cfb\u5217\u6587\u7ae0\uff0c\u56de\u7b54\u4ee5\u4e0b\u95ee\u9898\uff1a<\/p>\n<\/div>
- <\/i><\/span>\u5982\u4f55\u5728 Kubernetes \u4e0a\u90e8\u7f72\u548c\u4f7f\u7528 Mlflow \u8ddf\u8e2a\u5b9e\u4f8b\uff1f<\/div><\/li>
- <\/i><\/span>\u5982\u4f55\u4f7f\u7528 Mlflow \u5c06\u673a\u5668\u5b66\u4e60\u6a21\u578b\u4f5c\u4e3a API \u63d0\u4f9b\uff1f<\/div><\/li>
- <\/i><\/span>\u5982\u4f55\u5904\u7406\u5927\u91cf\u8bf7\u6c42\uff0c\u5e76\u4f7f\u6211\u4eec\u7684\u63a8\u7406\u4efb\u52a1\u53ef\u4ee5\u6269\u5c55\u5230\u5de5\u4e1a\u5316\u4ea7\u54c1\uff1f<\/div><\/li><\/ul>
\u56e0\u6b64\uff0c\u8ba9\u6211\u4eec\u4ece\u7b2c\u4e00\u7bc7\u6587\u7ae0\u5f00\u59cb\uff0c\u4ecb\u7ecd Kubernetes \u53ca\u5176\u7ec4\u4ef6\uff0c\u5e76\u901a\u8fc7\u65e5\u5fd7\u6a21\u578b\u90e8\u7f72\u8ddf\u8e2a\u5b9e\u4f8b\u3002.<\/p>\n<\/div>
Kubernetes \u6982\u8ff0<\/h2><\/div>Kubernetes \u662f\u8c37\u6b4c\u5728 2014 \u5e74\u53d1\u5e03\u7684\u4e00\u4e2a\u5f00\u6e90\u9879\u76ee\u3002\u5b83\u662f\u4e00\u4e2a\u5bb9\u5668\u63a7\u5236\u548c\u7f16\u6392\u7cfb\u7edf\uff0c\u53ef\u5b9e\u73b0\u5e94\u7528\u7a0b\u5e8f\u7684\u81ea\u52a8\u90e8\u7f72\u3001\u6269\u5c55\u548c\u8c03\u5ea6\u3002\u5176\u67b6\u6784\u5982\u4e0b\uff1a<\/p>\n<\/div>![\"Image\"](\"data:image\/svg+xml,%3Csvg%20xmlns%3D%27http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%27%20width%3D%27705%27%20height%3D%270%27%20viewBox%3D%270%200%20705%200%27%3E%3Crect%20width%3D%27705%27%20height%3D%270%27%20fill-opacity%3D%220%22%2F%3E%3C%2Fsvg%3E\")
\u4e3b\u4eba<\/strong>:\u5b83\u5904\u7406\u8f93\u5165\u914d\u7f6e\uff0c\u8c03\u5ea6\u4e0d\u540c\u8282\u70b9\u4e0a\u7684\u5bb9\u5668\u5316\u5e94\u7528\u7a0b\u5e8f\uff0c\u5e76\u76d1\u63a7\u5b83\u4eec\u7684\u72b6\u6001\u3002\u4e3b\u8282\u70b9\u7531\u4ee5\u4e0b\u90e8\u5206\u7ec4\u6210<\/p>\n<\/div>- <\/i><\/span>\u5e94\u7528\u7a0b\u5e8f\u63a5\u53e3\u670d\u52a1\u5668\uff1a\u00a0<\/strong>\u5141\u8bb8\u4e0e\u7fa4\u96c6\u4ea4\u4e92\uff0c\u5e76\u9a8c\u8bc1\u5f00\u53d1\u4eba\u5458\u53d1\u9001\u7684\u66f4\u65b0\u7fa4\u96c6\u6216\u5e94\u7528\u7a0b\u5e8f\u72b6\u6001\u7684\u547d\u4ee4\u3002.<\/div><\/li>
- <\/i><\/span>\u8c03\u5ea6\u5458<\/strong>\u51b3\u5b9a\u00a0<\/strong>\u5e94\u5728\u54ea\u4e9b\u8282\u70b9\u4e0a\u8fd0\u884c\u65b0\u5bf9\u8c61\uff0c\u4ee5\u786e\u4fdd\u7a33\u5b9a\u6027\u548c\u8d1f\u8f7d\u5e73\u8861\u3002.<\/div><\/li>
- <\/i><\/span>\u7b49\u7b49\uff1a<\/strong>\u00a0\u5b58\u50a8\u4e0d\u540c\u8d44\u6e90\u914d\u7f6e\u548c\u72b6\u6001\u7684\u952e\u503c database<\/div><\/li>
- <\/i><\/span>\u4e3b\u8ba1\u957f\u7ecf\u7406\uff1a<\/strong>\u76d1\u63a7\u96c6\u7fa4\u72b6\u6001\u548c\u4e0d\u540c\u8d44\u6e90\uff0c\u786e\u4fdd\u5f53\u524d\u72b6\u6001\u4e0e\u6240\u9700\u72b6\u6001\u4e00\u81f4\u3002.<\/div><\/li><\/ul>
\u8282\u70b9\uff1a<\/strong> \u5b83\u4eec\u662f\u5df2\u90e8\u7f72\u5bb9\u5668\u6240\u5728\u7684\u6267\u884c\u8282\u70b9\u3002\u5b83\u4eec\u7684\u4e3b\u8981\u7ec4\u6210\u90e8\u5206\u662f<\/p>\n<\/div>- <\/i><\/span>\u82b1\u82de\u00a0<\/strong>\u662f Kubernetes \u4e2d\u6700\u57fa\u672c\u7684\u6267\u884c\u5355\u5143\u3002Pod \u5c06\u5e94\u7528\u7a0b\u5e8f\u5c01\u88c5\u4e3a\u5355\u4e2a\u5bb9\u5668\u6216\u591a\u4e2a\u5bb9\u5668\uff0c\u8fd9\u4e9b\u5bb9\u5668\u901a\u8fc7\u5171\u4eab\u5b58\u50a8\u5377\u548c\u7f51\u7edc\u534f\u540c\u5de5\u4f5c\u3002.<\/div><\/li>
- <\/i><\/span>\n
Kubelet\uff1a<\/strong>\u662f\u00a0<\/strong>\u4e00\u4e2a\u00a0<\/strong>\u4ee3\u7406\uff0c\u7528\u4e8e\u68c0\u67e5\u5bb9\u5668\u72b6\u6001\u5e76\u4e0e Kubernetes \u4e3b\u7ad9\u901a\u4fe1\u3002.<\/p>\n<\/div><\/li><\/ul>\u5f53\u5e94\u7528\u7a0b\u5e8f\u6709\u591a\u4e2a\u670d\u52a1\u76f8\u4e92\u901a\u4fe1\u65f6\uff0c\u5b83\u662f\u9996\u9009\uff0c\u56e0\u4e3a\u5b83\u80fd\u786e\u4fdd\u6bcf\u4e2a\u670d\u52a1\u90fd\u6709\u81ea\u5df1\u7684\u5bb9\u5668\u5316\u73af\u5883\uff0c\u5e76\u6709\u4e00\u5957\u4e0e\u5176\u4ed6\u670d\u52a1\u4ea4\u4e92\u7684\u89c4\u5219\u3002\u6b64\u5916\uff0c\u5b83\u8fd8\u63d0\u4f9b\u4e86\u4e00\u79cd\u6709\u8da3\u7684\u529f\u80fd\uff0c\u5373\u53ef\u4ee5\u6269\u5c55\u5e94\u7528\u7a0b\u5e8f\uff0c\u800c\u4e0d\u5fc5\u62c5\u5fc3\u7ba1\u7406\u6216\u540c\u6b65\u65b0\u670d\u52a1\u4ee5\u53ca\u5e73\u8861\u4e0d\u540c\u673a\u5668\u4e4b\u95f4\u7684\u8d44\u6e90\u3002.<\/p>\n
\u4ece\u9ad8\u5c42\u6b21\u7684\u89d2\u5ea6\u6765\u770b\uff0c\u4f5c\u4e3a data \u79d1\u5b66\u5bb6\u6216 ML \u5de5\u7a0b\u5e08\uff0c\u6211\u4eec\u5c06\u901a\u8fc7 Kubernetes \u7684\u670d\u52a1\u5668 API\uff0c\u4f7f\u7528 CLI \u547d\u4ee4\u6216 YAML \u914d\u7f6e\u6587\u4ef6\u4e0e Kubernetes \u8fdb\u884c\u4ea4\u4e92\uff0c\u4ee5\u90e8\u7f72\u548c\u516c\u5f00\u5e94\u7528\u7a0b\u5e8f\u6216\u83b7\u53d6\u8d44\u6e90\u72b6\u6001\u3002.<\/p>\n<\/div>
\u5b9e\u8df5\u524d\u8981\u6c42<\/h2><\/div>\u5728\u672c\u6b21\u5b9e\u8df5\u4e2d\uff0c\u6211\u4eec\u5c06\u4f7f\u7528 GCP \u4f5c\u4e3a cloud \u63d0\u4f9b\u5546\u3002\u9996\u5148\uff0c\u6211\u4eec\u9700\u8981.NET Framework\uff1a<\/p>\n<\/div>
1.\u521b\u5efa\u57fa\u7840\u8bbe\u65bd\u8981\u7d20<\/h3><\/div>- <\/i><\/span>mlflow_gke\uff1a<\/strong> \u5b58\u50a8\u6587\u4ef6\u7684\u6876\uff0cdatasets...<\/div><\/li>
- <\/i><\/span>\n
mlflow-k8s<\/strong>\u90e8\u7f72\u8ddf\u8e2a\u6a21\u5757\u548c\u673a\u5668\u5b66\u4e60\u6a21\u578b\uff1a\u90e8\u7f72\u4e00\u4e2a\u4e09\u8282\u70b9\uff08e2-highcpu-4\uff09GKE \u96c6\u7fa4\u3002.<\/p>\n<\/div><\/li>- <\/i><\/span>\n
\u8d1f\u8f7d\u6d4b\u8bd5\uff1a\u00a0<\/strong>\u4e00\u4e2a\u4e09\u8282\u70b9\uff08e2-\u6807\u51c6-2\uff09GKE \u96c6\u7fa4\u6765\u6267\u884c\u8d1f\u8f7d\u6d4b\u8bd5\u3002\u5b83\u5c06\u5728\u672c\u7cfb\u5217\u7684\u7b2c\u4e09\u7bc7\u6587\u7ae0\u4e2d\u4f7f\u7528\u3002.<\/p>\n<\/div><\/li><\/ul>![\"Image\"](\"data:image\/svg+xml,%3Csvg%20xmlns%3D%27http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%27%20width%3D%27659%27%20height%3D%270%27%20viewBox%3D%270%200%20659%200%27%3E%3Crect%20width%3D%27659%27%20height%3D%270%27%20fill-opacity%3D%220%22%2F%3E%3C%2Fsvg%3E\")
2.\u914d\u7f6e\u672c\u5730\u5de5\u4f5c\u7ad9<\/h3><\/div>- <\/i><\/span>\n
\u5b89\u88c5\u4e0e GCP \u548c mlflow cli \u4ea4\u4e92\u6240\u9700\u7684 python<\/p>\n
pip install mlflow gcsfs google-cloud google-cloud-storage kubernetes<\/span><\/pre>\n<\/div><\/li>- <\/i><\/span>\u6709\u00a0gcloud<\/a>\u00a0\u548c\u00a0kubectl<\/a>\u00a0\u914d\u7f6e\u4e86\u8bbf\u95ee GCP \u9879\u76ee\u548c\u7fa4\u96c6\u7684\u51ed\u8bc1<\/div><\/li>
- <\/i><\/span>\u5df2\u5b89\u88c5\u5e76\u521d\u59cb\u5316 Helm CLI\u3002\u8bf7\u00a0\u5728\u6b64\u627e\u5230\u8bf4\u660e<\/a>\u00a0\u4ee5\u9632\u60a8\u8fd8\u6ca1\u6709\u5ba2\u6237\u7aef\u3002.<\/div><\/li><\/ul>
3.\u514b\u9686\u5b9e\u8df5\u9879\u76ee\u4ed3\u5e93\u4ee5\u83b7\u53d6\u4ee3\u7801<\/h3><\/div>\u514b\u9686 https:\/\/github.com\/artefactory-global\/mlflow-serving-example<\/a><\/p>\n<\/div>Mlflow \u8ddf\u8e2a\u5b9e\u4f8b\u90e8\u7f72<\/h2><\/div>1.\u8bbe\u7f6e\u7fa4\u96c6\u73af\u5883<\/h3><\/div>- <\/i><\/span>\u521b\u5efa\u670d\u52a1\u8d26\u6237\uff0c\u4ee5\u4fbf\u4e0e GCS \u4ea4\u4e92
\n<\/strong>\u53ef\u4ee5\u901a\u8fc7 google cloud \u63a7\u5236\u53f0\u7684\u00a0\u6211\u7684\u90e8\u95e8<\/a>. .\u6211\u4eec\u9700\u8981\u521b\u5efa\u4e00\u4e2a\u5177\u6709\u5b58\u50a8\u5bf9\u8c61\u7ba1\u7406\u6743\u9650\u7684\u670d\u52a1\u8d26\u6237\uff0c\u751f\u6210\u4e00\u4e2a\u8eab\u4efd\u9a8c\u8bc1\u5bc6\u94a5\uff0c\u5e76\u5c06\u5176\u4e0b\u8f7d\u4e3a keyfile.json \u6587\u4ef6\u3002<\/div><\/li>- <\/i><\/span>\u5c06\u9a8c\u8bc1\u6587\u4ef6\u6302\u8f7d\u4e3a\u5bc6\u6587<\/strong>
\n<\/strong>\u79d8\u5bc6\u5141\u8bb8\u6211\u4eec\u4ee5\u5b89\u5168\u7684\u65b9\u5f0f\u5904\u7406\u51ed\u8bc1\uff0c\u4f7f\u5176\u53ea\u5bf9\u76f8\u5173\u8d44\u6e90\u53ef\u89c1\u3002.\u00a0<\/strong>\u4e3a\u6b64\uff0c\u6211\u4eec\u5c06\u521b\u5efa\u4e00\u4e2a\u79d8\u5bc6\u5377\uff0c\u5e76\u53ea\u5411\u9700\u8981\u7684\u5bb9\u5668\u516c\u5f00\u8eab\u4efd\u9a8c\u8bc1\u6587\u4ef6\u3002.
\nkubectl create secret generic gcsfs-creds -from-file=.\/keyfile.json<\/span><\/div><\/li><\/ul>![\"Image\"](\"data:image\/svg+xml,%3Csvg%20xmlns%3D%27http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%27%20width%3D%27634%27%20height%3D%270%27%20viewBox%3D%270%200%20634%200%27%3E%3Crect%20width%3D%27634%27%20height%3D%270%27%20fill-opacity%3D%220%22%2F%3E%3C%2Fsvg%3E\")
2.\u8ddf\u8e2a\u670d\u52a1\u5668\u90e8\u7f72\u60c5\u51b5<\/h3><\/div>- <\/i><\/span>Postgres \u5b58\u50a8<\/strong>
\n<\/strong>Postgre \u662f mlflow \u7684\u540e\u7aef\u5b58\u50a8\u5355\u5143\uff0c\u7528\u4e8e\u4fdd\u5b58\u6a21\u578b metadata \u548c\u6307\u6807\u3002.
\n\u8981\u90e8\u7f72\u5b83\uff0c\u6211\u4eec\u5c06\u4f7f\u7528 Helm\uff1aKubernetes \u7684\u8d44\u6e90\u7ba1\u7406\u5668\uff0c\u5176\u4e2d\u8bb8\u591a\u5e94\u7528\u7a0b\u5e8f\u90fd\u4ee5\u56fe\u8868\u6216\u6a21\u677f\u7684\u683c\u5f0f\u63d0\u4f9b\uff0c\u53ef\u4ee5\u901a\u8fc7\u7b80\u5355\u7684\u547d\u4ee4\u8fdb\u884c\u914d\u7f6e\u3002.<\/p>\n#docs: https:\/\/artifacthub.io\/packages\/helm\/bitnami\/postgresql<\/span>helm repo add bitnami https:\/\/charts.bitnami.com\/bitnami<\/span>helm install mlf-db bitnami\/postgresql --set postgresqlDatabase=mlflow_db --set postgresqlPassword=mlflow --set service.type=NodePort<\/span><\/pre>\n<\/div><\/li>- <\/i><\/span>\u8ddf\u8e2a\u5b9e\u4f8b<\/strong>
\n<\/strong>\u6211\u4eec\u8fd8\u5c06\u4f7f\u7528 Helm \u56fe\u8868\u6765\u90e8\u7f72\u8ddf\u8e2a\u670d\u52a1\u5668\uff0c\u4f46\u9996\u5148\uff0c\u6211\u4eec\u9700\u8981\u7528\u6211\u4eec\u60f3\u8981\u7684\u7248\u672c\u6784\u5efa\u4e00\u4e2a docker \u955c\u50cf\uff0c\u4ee5\u4fbf Helm \u80fd\u591f\u4e0b\u8f7d\u548c\u90e8\u7f72\u5b83\u3002\u8bf7\u6ce8\u610f\uff0cPostgres \u7684\u955c\u50cf\u5df2\u7ecf\u5728\u516c\u5171\u5b58\u50a8\u5e93\u4e2d\uff0c\u4f46\u5728\u8fd9\u91cc\u6211\u4eec\u5c06\u521b\u5efa\u81ea\u5df1\u7684\u955c\u50cf\u3002.<\/p>\ncd mlflow-serving-example<\/span>docker build --tag $\/mlflow-tracking-server:v1 --file dockerfile_mlflow_tracking .<\/span>docker push $\/mlflow-tracking-server:v1<\/span><\/pre>\n<\/div><\/li><\/ul>\u5c06\u955c\u50cf\u63a8\u9001\u5230\u955c\u50cf\u6ce8\u518c\u8868\u540e\uff0c\u6211\u4eec\u5c31\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u901a\u8fc7 helm \u5c06\u5176\u90e8\u7f72\u5230\u7fa4\u96c6\u4e0a\u3002.<\/p>\n
helm repo \u6dfb\u52a0 mlflow-tracking https:\/\/artefactory-global.github.io\/mlflow-tracking-server\/<\/a><\/span>helm install mlf-ts mlflow-tracking\/mlflow-tracking-server\n--set env.mlflowArtifactPath=$\n--set env.mlflowDBAddr=mlf-db-postgresql\n--\u8bbe\u7f6e env.mlflowUser=postgres\n--\u8bbe\u7f6e env.mlflowPass=mlflow\n--\u8bbe\u7f6e env.mlflowDBName=mlflow_db\n--set env.mlflowDBPort=5432\n--\u8bbe\u7f6e service.type=LoadBalancer\n--\u8bbe\u7f6e image.repository=$\/mlflow-tracking-server\n--set image.tag=v1<\/span><\/pre>\n\u73b0\u5728\uff0cMlflow \u5e94\u5df2\u542f\u52a8\u5e76\u8fd0\u884c\uff0c\u7528\u6237\u754c\u9762\u5e94\u53ef\u901a\u8fc7\u8d1f\u8f7d\u5e73\u8861\u5668 IP \u8bbf\u95ee\u3002\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u00a0k<\/em>ubectl get services<\/em>.<\/em><\/strong>A<\/em>\u6b64\u5916\uff0c\u6211\u4eec\u8fd8\u53ef\u4ee5\u901a\u8fc7\u8bbf\u95ee\u65e5\u5fd7\u6765\u8c03\u8bd5\u90e8\u7f72\u00a0\u7ecf\u7531\u00a0<\/em>kubectl describe pods<\/strong>.<\/em>
\u5230\u76ee\u524d\u4e3a\u6b62\uff0c\u6211\u4eec\u76ee\u524d\u7684\u67b6\u6784\u5982\u4e0b\uff1a<\/p>\n<\/div>![\"Image\"](\"data:image\/svg+xml,%3Csvg%20xmlns%3D%27http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%27%20width%3D%27621%27%20height%3D%270%27%20viewBox%3D%270%200%20621%200%27%3E%3Crect%20width%3D%27621%27%20height%3D%270%27%20fill-opacity%3D%220%22%2F%3E%3C%2Fsvg%3E\")
\u8bf7\u6ce8\u610f\uff0c\u4e92\u8054\u7f51\u4e0a\u7684\u4efb\u4f55\u4eba\u90fd\u53ef\u4ee5\u8bbf\u95ee\u8d1f\u8f7d\u5e73\u8861\u5668\uff0c\u56e0\u6b64\u5fc5\u987b\u8003\u8651\u901a\u8fc7\u6dfb\u52a0\u9a8c\u8bc1\u5c42\u6765\u4fdd\u62a4\u6211\u4eec\u7684\u8ddf\u8e2a\u5b9e\u4f8b\u3002\u8fd9\u53ef\u4ee5\u901a\u8fc7\u00a0\u8eab\u4efd\u8bc6\u522b\u4ee3\u7406<\/a>\u00a0\u4f46\u672c\u6587\u4e0d\u6d89\u53ca\u3002.<\/p>\n<\/div>3.\u521b\u5efa\u57fa\u672c\u6a21\u578b<\/h3><\/div>\u73b0\u5728\uff0c\u6211\u4eec\u7684\u57fa\u7840\u67b6\u6784\u548c Mlflow \u5b9e\u4f8b\u5df2\u7ecf\u51c6\u5907\u5c31\u7eea\uff0c\u6211\u4eec\u53ef\u4ee5\u5c1d\u8bd5\u8fd0\u884c\u4e00\u4e2a\u7b80\u5355\u7684 ML \u6a21\u578b\uff0c\u5e76\u5c06\u5176\u4fdd\u5b58\u5728\u6a21\u578b\u6ce8\u518c\u8868\u4e2d\uff0c\u4ee5\u4f9b\u4ee5\u540e\u4f7f\u7528\u3002.
\n\u6211\u4eec\u5c06\u4f7f\u7528\u8461\u8404\u9152\u8d28\u91cf dataset\uff0c\u5b83\u7531\u7ea6 4900 \u4e2a\u6837\u672c\u548c 11 \u4e2a\u53cd\u6620\u8461\u8404\u9152\u7279\u5f81\u7684\u7279\u5f81\u7ec4\u6210\u3002\u6807\u7b7e\u8303\u56f4\u4ece 3 \u5230 9\uff0c\u53ef\u89c6\u4e3a\u8bc4\u7ea7\u3002.
\n\u8fd9\u662f\u4e00\u4e2a\u7ecf\u5178\u793a\u4f8b\uff0c\u6211\u4eec\u5728\u5176\u4e2d\u8bad\u7ec3\u4e86\u4e00\u4e2a Xgboost \u56de\u5f52\u6a21\u578b\uff0c\u5e76\u5c06\u5176\u4e0e\u53c2\u6570\u548c\u6307\u6807\u4e00\u8d77\u5b58\u50a8\u3002\u5b8c\u6574\u4ee3\u7801\u5982\u4e0b\u00a0\u7b14\u8bb0\u672c<\/a>.
\n\u60a8\u53ef\u80fd\u5df2\u7ecf\u6ce8\u610f\u5230\uff0cMlflow \u7684\u96c6\u6210\u975e\u5e38\u7b80\u5355\uff0c\u53ef\u4ee5\u7528\u4e0b\u9762\u7684\u4ee3\u7801\u7247\u6bb5\u6765\u6982\u62ec\uff0c\u5373\u8c03\u7528\u00a0mlflow.start_run()\u3001mlflow.log_param()\u3001mlflow.log_metric() \u548c mlflow.xgboost.log_model()<\/strong><\/em>\u5206\u522b\u7528\u4e8e\u521b\u5efa\u65b0\u5b9e\u9a8c\u3001\u5b58\u50a8\u8bad\u7ec3\u53c2\u6570\u3001\u8bc4\u4f30\u6307\u6807\u548c\u8bad\u7ec3\u6a21\u578b\u672c\u8eab\u3002.<\/p>\n<\/div>\u4f7f\u7528 mlflow.start_run() \u4f5c\u4e3a\u8fd0\u884c\uff1a\n \n # \u542f\u52a8 mlflow \u4f1a\u8bdd\n mlflow.log_param(\"max_depth\", max_depth)\n mlflow.log_param(\"min_child_weight\", min_child_weight)\n mlflow.log_param(\"estimators\", estimators)\n\n # \u521b\u5efa\u5e76\u62df\u5408\u6a21\u578b\n model = xgb.XGBRegressor(\n max_depth=max_depth\u3001\n min_child_weight=min_child_weight\u3001\n n_estimators=estimators\n random_state=42)\n model.fit(X_train, y_train)\n\n # MLflow \u6307\u6807\n predictions = model.predict(X_test)\n rmse = np.sqrt(mean_squared_error(y_test, predictions))\n mlflow.log_metric(\"rmse\", rmse)\n\n # \u5bf9\u6570\u6a21\u578b\n mlflow.xgboost.log_model(model, \"xgboost-model\", registered_model_name = model_name)\n\u8fd0\u884c\u6240\u63d0\u4f9b\u7684\u7b14\u8bb0\u672c\u540e\uff0c\u8ddf\u8e2a\u5b9e\u4f8b\u754c\u9762\u4e2d\u5c06\u65b0\u589e\u4e00\u884c\uff0c\u4e0e\u65b0\u5b9e\u9a8c\u76f8\u5bf9\u5e94\u3002.<\/p>\n<\/div>![\"Image\"](\"data:image\/svg+xml,%3Csvg%20xmlns%3D%27http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%27%20width%3D%27642%27%20height%3D%270%27%20viewBox%3D%270%200%20642%200%27%3E%3Crect%20width%3D%27642%27%20height%3D%270%27%20fill-opacity%3D%220%22%2F%3E%3C%2Fsvg%3E\")
\u6700\u540e\uff0c\u5982\u679c\u6211\u4eec\u5bf9\u6a21\u578b\u7684\u6027\u80fd\u611f\u5230\u6ee1\u610f\uff0c\u5c31\u53ef\u4ee5\u4ece\u8ddf\u8e2a\u5b9e\u4f8b\u4e2d\u52a0\u8f7d\u6a21\u578b\uff0c\u5e76\u5728 python \u4e2d\u4f7f\u7528\u5b83\u8fdb\u884c\u63a8\u7406\u3002\u8fd9\u4e5f\u53ef\u4ee5\u901a\u8fc7\u4e4b\u524d\u5171\u4eab\u7684\u7b14\u8bb0\u672c\u6765\u5b9e\u73b0\u3002\u8bf7\u6ce8\u610f\uff0c\u5728\u672c\u4f8b\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528\u8fd0\u884c ID \u52a0\u8f7d\u4e86\u6a21\u578b\uff0c\u4f46\u8bf7\u8bb0\u4f4f\uff0cMlflow \u8fd8\u63d0\u4f9b\u4e86\u5176\u4ed6\u6709\u8da3\u7684\u65b9\u6cd5\uff0c\u53ef\u4ee5\u901a\u8fc7\u6807\u7b7e\u3001\u7248\u672c\u6216\u9636\u6bb5\u6765\u8bc6\u522b\u6a21\u578b\u3002\u66f4\u591a\u8be6\u60c5\u8bf7\u53c2\u8003\u6a21\u578b\u6ce8\u518c\u6587\u6863\u00a0\u8fd9\u91cc<\/a>.<\/p>\n<\/div>\u7ed3\u8bba<\/h2><\/div>\u5728\u8fd9\u7bc7\u6587\u7ae0\u4e2d\uff0c\u6211\u4eec\u8bbe\u6cd5\u90e8\u7f72\u4e86 Mlflow \u8ddf\u8e2a\u5b9e\u4f8b\u6765\u5904\u7406\u6211\u4eec\u7684 data \u79d1\u5b66\u5b9e\u9a8c\uff0c\u5e76\u901a\u8fc7\u4e00\u4e2a\u5feb\u901f\u793a\u4f8b\u6f14\u793a\u4e86\u5982\u4f55\u8bb0\u5f55\u6a21\u578b\u5e76\u5c06\u5176\u4fdd\u5b58\u8d77\u6765\uff0c\u4ee5\u4fbf\u5c06\u6765\u5728 python \u4e0a\u8fdb\u884c\u63a8\u7406\u3002\u5728\u672c\u7cfb\u5217\u7684\u4e0b\u4e00\u7bc7\u6587\u7ae0\u4e2d\uff0c\u6211\u4eec\u5c06\u5b66\u4e60\u5982\u4f55\u5c06\u6b64\u6a21\u578b\u4f5c\u4e3a API \u63d0\u4f9b\u3002\u8fd9\u4e00\u70b9\u975e\u5e38\u91cd\u8981\uff0c\u56e0\u4e3a\u5b83\u6709\u52a9\u4e8e\u4e0e\u6a21\u578b\u8fdb\u884c\u4ea4\u4e92\u5e76\u5c06\u5176\u96c6\u6210\u5230\u4ea7\u54c1\u6216\u5e94\u7528\u7a0b\u5e8f\u4e2d\u3002\u6b64\u5916\uff0c\u5728 Kubernetes \u4e0a\u8fd0\u884c\u53ef\u786e\u4fdd\u6a21\u578b\u6613\u4e8e\u6269\u5c55\uff0c\u5e76\u80fd\u5904\u7406\u4e0d\u540c\u7684\u8d1f\u8f7d\u6c34\u5e73\u3002.<\/p>\n<\/div><\/div><\/div><\/div><\/article>
\u5bfc\u8a00<\/h2><\/div>Mlflow \u662f data \u79d1\u5b66\/ML \u793e\u533a\u5e7f\u6cdb\u4f7f\u7528\u7684\u5de5\u5177\uff0c\u7528\u4e8e\u5728\u4e0d\u540c\u9636\u6bb5\u8ddf\u8e2a\u5b9e\u9a8c\u548c\u7ba1\u7406\u673a\u5668\u5b66\u4e60\u6a21\u578b\u3002\u5229\u7528\u5b83\uff0c\u6211\u4eec\u53ef\u4ee5\u5b58\u50a8\u6307\u6807\u3001\u6a21\u578b\u548c\u5de5\u4ef6\uff0c\u4ece\u800c\u8f7b\u677e\u6bd4\u8f83\u6a21\u578b\u7684\u6027\u80fd\u5e76\u5904\u7406\u5176\u751f\u547d\u5468\u671f\u3002\u6b64\u5916\uff0cMlflow \u8fd8\u63d0\u4f9b\u4e86\u4e00\u4e2a\u6a21\u5757\uff0c\u53ef\u5c06\u6a21\u578b\u4f5c\u4e3a API \u7aef\u70b9\u63d0\u4f9b\uff0c\u4ece\u800c\u65b9\u4fbf\u5c06\u5176\u96c6\u6210\u5230\u4efb\u4f55\u4ea7\u54c1\u6216\u7f51\u7edc\u5e94\u7528\u7a0b\u5e8f\u4e2d\u3002.<\/p>\n<\/div>
\u4e5f\u5c31\u662f\u8bf4\uff0c\u5728\u5728\u7ebf\u4ea7\u54c1\u4e2d\u4f7f\u7528\u673a\u5668\u5b66\u4e60\u5f88\u9177\uff0c\u4f46\u6839\u636e\u6a21\u578b\u7684\u5927\u5c0f\u3001\u6027\u8d28\uff08ML\u3001\u6df1\u5ea6\u5b66\u4e60......\uff09\u548c\u8d1f\u8f7d\uff08\u7528\u6237\u8bf7\u6c42\uff09\uff0c\u5bf9\u6240\u9700\u8d44\u6e90\u8fdb\u884c\u7ef4\u5ea6\u8c03\u6574\u5e76\u4fdd\u8bc1\u5408\u7406\u7684\u54cd\u5e94\u65f6\u95f4\u53ef\u80fd\u5177\u6709\u6311\u6218\u6027\u3002\u56e0\u6b64\uff0c\u4f7f\u7528 Kubernetes \u96c6\u7fa4\u7b49\u53ef\u6269\u5c55\u57fa\u7840\u8bbe\u65bd\u662f\u5728\u63a8\u7406\u9636\u6bb5\u4fdd\u6301\u670d\u52a1\u53ef\u7528\u6027\u548c\u6027\u80fd\u7684\u5173\u952e\u3002.<\/p>\n
\u4e3a\u6b64\uff0c\u6211\u4eec\u5c06\u53d1\u8868\u4e09\u7bc7\u7cfb\u5217\u6587\u7ae0\uff0c\u56de\u7b54\u4ee5\u4e0b\u95ee\u9898\uff1a<\/p>\n<\/div>
- <\/i><\/span>\u5982\u4f55\u5728 Kubernetes \u4e0a\u90e8\u7f72\u548c\u4f7f\u7528 Mlflow \u8ddf\u8e2a\u5b9e\u4f8b\uff1f<\/div><\/li>
- <\/i><\/span>\u5982\u4f55\u4f7f\u7528 Mlflow \u5c06\u673a\u5668\u5b66\u4e60\u6a21\u578b\u4f5c\u4e3a API \u63d0\u4f9b\uff1f<\/div><\/li>
- <\/i><\/span>\u5982\u4f55\u5904\u7406\u5927\u91cf\u8bf7\u6c42\uff0c\u5e76\u4f7f\u6211\u4eec\u7684\u63a8\u7406\u4efb\u52a1\u53ef\u4ee5\u6269\u5c55\u5230\u5de5\u4e1a\u5316\u4ea7\u54c1\uff1f<\/div><\/li><\/ul>
\u56e0\u6b64\uff0c\u8ba9\u6211\u4eec\u4ece\u7b2c\u4e00\u7bc7\u6587\u7ae0\u5f00\u59cb\uff0c\u4ecb\u7ecd Kubernetes \u53ca\u5176\u7ec4\u4ef6\uff0c\u5e76\u901a\u8fc7\u65e5\u5fd7\u6a21\u578b\u90e8\u7f72\u8ddf\u8e2a\u5b9e\u4f8b\u3002.<\/p>\n<\/div>
Kubernetes \u6982\u8ff0<\/h2><\/div>Kubernetes \u662f\u8c37\u6b4c\u5728 2014 \u5e74\u53d1\u5e03\u7684\u4e00\u4e2a\u5f00\u6e90\u9879\u76ee\u3002\u5b83\u662f\u4e00\u4e2a\u5bb9\u5668\u63a7\u5236\u548c\u7f16\u6392\u7cfb\u7edf\uff0c\u53ef\u5b9e\u73b0\u5e94\u7528\u7a0b\u5e8f\u7684\u81ea\u52a8\u90e8\u7f72\u3001\u6269\u5c55\u548c\u8c03\u5ea6\u3002\u5176\u67b6\u6784\u5982\u4e0b\uff1a<\/p>\n<\/div>
\u4e3b\u4eba<\/strong>:\u5b83\u5904\u7406\u8f93\u5165\u914d\u7f6e\uff0c\u8c03\u5ea6\u4e0d\u540c\u8282\u70b9\u4e0a\u7684\u5bb9\u5668\u5316\u5e94\u7528\u7a0b\u5e8f\uff0c\u5e76\u76d1\u63a7\u5b83\u4eec\u7684\u72b6\u6001\u3002\u4e3b\u8282\u70b9\u7531\u4ee5\u4e0b\u90e8\u5206\u7ec4\u6210<\/p>\n<\/div>- <\/i><\/span>\u5e94\u7528\u7a0b\u5e8f\u63a5\u53e3\u670d\u52a1\u5668\uff1a\u00a0<\/strong>\u5141\u8bb8\u4e0e\u7fa4\u96c6\u4ea4\u4e92\uff0c\u5e76\u9a8c\u8bc1\u5f00\u53d1\u4eba\u5458\u53d1\u9001\u7684\u66f4\u65b0\u7fa4\u96c6\u6216\u5e94\u7528\u7a0b\u5e8f\u72b6\u6001\u7684\u547d\u4ee4\u3002.<\/div><\/li>
- <\/i><\/span>\u8c03\u5ea6\u5458<\/strong>\u51b3\u5b9a\u00a0<\/strong>\u5e94\u5728\u54ea\u4e9b\u8282\u70b9\u4e0a\u8fd0\u884c\u65b0\u5bf9\u8c61\uff0c\u4ee5\u786e\u4fdd\u7a33\u5b9a\u6027\u548c\u8d1f\u8f7d\u5e73\u8861\u3002.<\/div><\/li>
- <\/i><\/span>\u7b49\u7b49\uff1a<\/strong>\u00a0\u5b58\u50a8\u4e0d\u540c\u8d44\u6e90\u914d\u7f6e\u548c\u72b6\u6001\u7684\u952e\u503c database<\/div><\/li>
- <\/i><\/span>\u4e3b\u8ba1\u957f\u7ecf\u7406\uff1a<\/strong>\u76d1\u63a7\u96c6\u7fa4\u72b6\u6001\u548c\u4e0d\u540c\u8d44\u6e90\uff0c\u786e\u4fdd\u5f53\u524d\u72b6\u6001\u4e0e\u6240\u9700\u72b6\u6001\u4e00\u81f4\u3002.<\/div><\/li><\/ul>
\u8282\u70b9\uff1a<\/strong> \u5b83\u4eec\u662f\u5df2\u90e8\u7f72\u5bb9\u5668\u6240\u5728\u7684\u6267\u884c\u8282\u70b9\u3002\u5b83\u4eec\u7684\u4e3b\u8981\u7ec4\u6210\u90e8\u5206\u662f<\/p>\n<\/div>- <\/i><\/span>\u82b1\u82de\u00a0<\/strong>\u662f Kubernetes \u4e2d\u6700\u57fa\u672c\u7684\u6267\u884c\u5355\u5143\u3002Pod \u5c06\u5e94\u7528\u7a0b\u5e8f\u5c01\u88c5\u4e3a\u5355\u4e2a\u5bb9\u5668\u6216\u591a\u4e2a\u5bb9\u5668\uff0c\u8fd9\u4e9b\u5bb9\u5668\u901a\u8fc7\u5171\u4eab\u5b58\u50a8\u5377\u548c\u7f51\u7edc\u534f\u540c\u5de5\u4f5c\u3002.<\/div><\/li>
- <\/i><\/span>\n
Kubelet\uff1a<\/strong>\u662f\u00a0<\/strong>\u4e00\u4e2a\u00a0<\/strong>\u4ee3\u7406\uff0c\u7528\u4e8e\u68c0\u67e5\u5bb9\u5668\u72b6\u6001\u5e76\u4e0e Kubernetes \u4e3b\u7ad9\u901a\u4fe1\u3002.<\/p>\n<\/div><\/li><\/ul>\u5f53\u5e94\u7528\u7a0b\u5e8f\u6709\u591a\u4e2a\u670d\u52a1\u76f8\u4e92\u901a\u4fe1\u65f6\uff0c\u5b83\u662f\u9996\u9009\uff0c\u56e0\u4e3a\u5b83\u80fd\u786e\u4fdd\u6bcf\u4e2a\u670d\u52a1\u90fd\u6709\u81ea\u5df1\u7684\u5bb9\u5668\u5316\u73af\u5883\uff0c\u5e76\u6709\u4e00\u5957\u4e0e\u5176\u4ed6\u670d\u52a1\u4ea4\u4e92\u7684\u89c4\u5219\u3002\u6b64\u5916\uff0c\u5b83\u8fd8\u63d0\u4f9b\u4e86\u4e00\u79cd\u6709\u8da3\u7684\u529f\u80fd\uff0c\u5373\u53ef\u4ee5\u6269\u5c55\u5e94\u7528\u7a0b\u5e8f\uff0c\u800c\u4e0d\u5fc5\u62c5\u5fc3\u7ba1\u7406\u6216\u540c\u6b65\u65b0\u670d\u52a1\u4ee5\u53ca\u5e73\u8861\u4e0d\u540c\u673a\u5668\u4e4b\u95f4\u7684\u8d44\u6e90\u3002.<\/p>\n
\u4ece\u9ad8\u5c42\u6b21\u7684\u89d2\u5ea6\u6765\u770b\uff0c\u4f5c\u4e3a data \u79d1\u5b66\u5bb6\u6216 ML \u5de5\u7a0b\u5e08\uff0c\u6211\u4eec\u5c06\u901a\u8fc7 Kubernetes \u7684\u670d\u52a1\u5668 API\uff0c\u4f7f\u7528 CLI \u547d\u4ee4\u6216 YAML \u914d\u7f6e\u6587\u4ef6\u4e0e Kubernetes \u8fdb\u884c\u4ea4\u4e92\uff0c\u4ee5\u90e8\u7f72\u548c\u516c\u5f00\u5e94\u7528\u7a0b\u5e8f\u6216\u83b7\u53d6\u8d44\u6e90\u72b6\u6001\u3002.<\/p>\n<\/div>
\u5b9e\u8df5\u524d\u8981\u6c42<\/h2><\/div>\u5728\u672c\u6b21\u5b9e\u8df5\u4e2d\uff0c\u6211\u4eec\u5c06\u4f7f\u7528 GCP \u4f5c\u4e3a cloud \u63d0\u4f9b\u5546\u3002\u9996\u5148\uff0c\u6211\u4eec\u9700\u8981.NET Framework\uff1a<\/p>\n<\/div>
1.\u521b\u5efa\u57fa\u7840\u8bbe\u65bd\u8981\u7d20<\/h3><\/div>- <\/i><\/span>mlflow_gke\uff1a<\/strong> \u5b58\u50a8\u6587\u4ef6\u7684\u6876\uff0cdatasets...<\/div><\/li>
- <\/i><\/span>\n
mlflow-k8s<\/strong>\u90e8\u7f72\u8ddf\u8e2a\u6a21\u5757\u548c\u673a\u5668\u5b66\u4e60\u6a21\u578b\uff1a\u90e8\u7f72\u4e00\u4e2a\u4e09\u8282\u70b9\uff08e2-highcpu-4\uff09GKE \u96c6\u7fa4\u3002.<\/p>\n<\/div><\/li>- <\/i><\/span>\n
\u8d1f\u8f7d\u6d4b\u8bd5\uff1a\u00a0<\/strong>\u4e00\u4e2a\u4e09\u8282\u70b9\uff08e2-\u6807\u51c6-2\uff09GKE \u96c6\u7fa4\u6765\u6267\u884c\u8d1f\u8f7d\u6d4b\u8bd5\u3002\u5b83\u5c06\u5728\u672c\u7cfb\u5217\u7684\u7b2c\u4e09\u7bc7\u6587\u7ae0\u4e2d\u4f7f\u7528\u3002.<\/p>\n<\/div><\/li><\/ul>2.\u914d\u7f6e\u672c\u5730\u5de5\u4f5c\u7ad9<\/h3><\/div>- <\/i><\/span>\n
\u5b89\u88c5\u4e0e GCP \u548c mlflow cli \u4ea4\u4e92\u6240\u9700\u7684 python<\/p>\n
pip install mlflow gcsfs google-cloud google-cloud-storage kubernetes<\/span><\/pre>\n<\/div><\/li>- <\/i><\/span>\u6709\u00a0gcloud<\/a>\u00a0\u548c\u00a0kubectl<\/a>\u00a0\u914d\u7f6e\u4e86\u8bbf\u95ee GCP \u9879\u76ee\u548c\u7fa4\u96c6\u7684\u51ed\u8bc1<\/div><\/li>
- <\/i><\/span>\u5df2\u5b89\u88c5\u5e76\u521d\u59cb\u5316 Helm CLI\u3002\u8bf7\u00a0\u5728\u6b64\u627e\u5230\u8bf4\u660e<\/a>\u00a0\u4ee5\u9632\u60a8\u8fd8\u6ca1\u6709\u5ba2\u6237\u7aef\u3002.<\/div><\/li><\/ul>
3.\u514b\u9686\u5b9e\u8df5\u9879\u76ee\u4ed3\u5e93\u4ee5\u83b7\u53d6\u4ee3\u7801<\/h3><\/div>\u514b\u9686 https:\/\/github.com\/artefactory-global\/mlflow-serving-example<\/a><\/p>\n<\/div>Mlflow \u8ddf\u8e2a\u5b9e\u4f8b\u90e8\u7f72<\/h2><\/div>1.\u8bbe\u7f6e\u7fa4\u96c6\u73af\u5883<\/h3><\/div>- <\/i><\/span>\u521b\u5efa\u670d\u52a1\u8d26\u6237\uff0c\u4ee5\u4fbf\u4e0e GCS \u4ea4\u4e92
\n<\/strong>\u53ef\u4ee5\u901a\u8fc7 google cloud \u63a7\u5236\u53f0\u7684\u00a0\u6211\u7684\u90e8\u95e8<\/a>. .\u6211\u4eec\u9700\u8981\u521b\u5efa\u4e00\u4e2a\u5177\u6709\u5b58\u50a8\u5bf9\u8c61\u7ba1\u7406\u6743\u9650\u7684\u670d\u52a1\u8d26\u6237\uff0c\u751f\u6210\u4e00\u4e2a\u8eab\u4efd\u9a8c\u8bc1\u5bc6\u94a5\uff0c\u5e76\u5c06\u5176\u4e0b\u8f7d\u4e3a keyfile.json \u6587\u4ef6\u3002<\/div><\/li>- <\/i><\/span>\u5c06\u9a8c\u8bc1\u6587\u4ef6\u6302\u8f7d\u4e3a\u5bc6\u6587<\/strong>
\n<\/strong>\u79d8\u5bc6\u5141\u8bb8\u6211\u4eec\u4ee5\u5b89\u5168\u7684\u65b9\u5f0f\u5904\u7406\u51ed\u8bc1\uff0c\u4f7f\u5176\u53ea\u5bf9\u76f8\u5173\u8d44\u6e90\u53ef\u89c1\u3002.\u00a0<\/strong>\u4e3a\u6b64\uff0c\u6211\u4eec\u5c06\u521b\u5efa\u4e00\u4e2a\u79d8\u5bc6\u5377\uff0c\u5e76\u53ea\u5411\u9700\u8981\u7684\u5bb9\u5668\u516c\u5f00\u8eab\u4efd\u9a8c\u8bc1\u6587\u4ef6\u3002.
\nkubectl create secret generic gcsfs-creds -from-file=.\/keyfile.json<\/span><\/div><\/li><\/ul>2.\u8ddf\u8e2a\u670d\u52a1\u5668\u90e8\u7f72\u60c5\u51b5<\/h3><\/div>- <\/i><\/span>Postgres \u5b58\u50a8<\/strong>
\n<\/strong>Postgre \u662f mlflow \u7684\u540e\u7aef\u5b58\u50a8\u5355\u5143\uff0c\u7528\u4e8e\u4fdd\u5b58\u6a21\u578b metadata \u548c\u6307\u6807\u3002.
\n\u8981\u90e8\u7f72\u5b83\uff0c\u6211\u4eec\u5c06\u4f7f\u7528 Helm\uff1aKubernetes \u7684\u8d44\u6e90\u7ba1\u7406\u5668\uff0c\u5176\u4e2d\u8bb8\u591a\u5e94\u7528\u7a0b\u5e8f\u90fd\u4ee5\u56fe\u8868\u6216\u6a21\u677f\u7684\u683c\u5f0f\u63d0\u4f9b\uff0c\u53ef\u4ee5\u901a\u8fc7\u7b80\u5355\u7684\u547d\u4ee4\u8fdb\u884c\u914d\u7f6e\u3002.<\/p>\n#docs: https:\/\/artifacthub.io\/packages\/helm\/bitnami\/postgresql<\/span>helm repo add bitnami https:\/\/charts.bitnami.com\/bitnami<\/span>helm install mlf-db bitnami\/postgresql --set postgresqlDatabase=mlflow_db --set postgresqlPassword=mlflow --set service.type=NodePort<\/span><\/pre>\n<\/div><\/li>- <\/i><\/span>\u8ddf\u8e2a\u5b9e\u4f8b<\/strong>
\n<\/strong>\u6211\u4eec\u8fd8\u5c06\u4f7f\u7528 Helm \u56fe\u8868\u6765\u90e8\u7f72\u8ddf\u8e2a\u670d\u52a1\u5668\uff0c\u4f46\u9996\u5148\uff0c\u6211\u4eec\u9700\u8981\u7528\u6211\u4eec\u60f3\u8981\u7684\u7248\u672c\u6784\u5efa\u4e00\u4e2a docker \u955c\u50cf\uff0c\u4ee5\u4fbf Helm \u80fd\u591f\u4e0b\u8f7d\u548c\u90e8\u7f72\u5b83\u3002\u8bf7\u6ce8\u610f\uff0cPostgres \u7684\u955c\u50cf\u5df2\u7ecf\u5728\u516c\u5171\u5b58\u50a8\u5e93\u4e2d\uff0c\u4f46\u5728\u8fd9\u91cc\u6211\u4eec\u5c06\u521b\u5efa\u81ea\u5df1\u7684\u955c\u50cf\u3002.<\/p>\ncd mlflow-serving-example<\/span>docker build --tag $\/mlflow-tracking-server:v1 --file dockerfile_mlflow_tracking .<\/span>docker push $\/mlflow-tracking-server:v1<\/span><\/pre>\n<\/div><\/li><\/ul>\u5c06\u955c\u50cf\u63a8\u9001\u5230\u955c\u50cf\u6ce8\u518c\u8868\u540e\uff0c\u6211\u4eec\u5c31\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u901a\u8fc7 helm \u5c06\u5176\u90e8\u7f72\u5230\u7fa4\u96c6\u4e0a\u3002.<\/p>\n
helm repo \u6dfb\u52a0 mlflow-tracking https:\/\/artefactory-global.github.io\/mlflow-tracking-server\/<\/a><\/span>helm install mlf-ts mlflow-tracking\/mlflow-tracking-server\n--set env.mlflowArtifactPath=$\n--set env.mlflowDBAddr=mlf-db-postgresql\n--\u8bbe\u7f6e env.mlflowUser=postgres\n--\u8bbe\u7f6e env.mlflowPass=mlflow\n--\u8bbe\u7f6e env.mlflowDBName=mlflow_db\n--set env.mlflowDBPort=5432\n--\u8bbe\u7f6e service.type=LoadBalancer\n--\u8bbe\u7f6e image.repository=$\/mlflow-tracking-server\n--set image.tag=v1<\/span><\/pre>\n\u73b0\u5728\uff0cMlflow \u5e94\u5df2\u542f\u52a8\u5e76\u8fd0\u884c\uff0c\u7528\u6237\u754c\u9762\u5e94\u53ef\u901a\u8fc7\u8d1f\u8f7d\u5e73\u8861\u5668 IP \u8bbf\u95ee\u3002\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u00a0k<\/em>ubectl get services<\/em>.<\/em><\/strong>A<\/em>\u6b64\u5916\uff0c\u6211\u4eec\u8fd8\u53ef\u4ee5\u901a\u8fc7\u8bbf\u95ee\u65e5\u5fd7\u6765\u8c03\u8bd5\u90e8\u7f72\u00a0\u7ecf\u7531\u00a0<\/em>kubectl describe pods<\/strong>.<\/em>
\u5230\u76ee\u524d\u4e3a\u6b62\uff0c\u6211\u4eec\u76ee\u524d\u7684\u67b6\u6784\u5982\u4e0b\uff1a<\/p>\n<\/div>\u8bf7\u6ce8\u610f\uff0c\u4e92\u8054\u7f51\u4e0a\u7684\u4efb\u4f55\u4eba\u90fd\u53ef\u4ee5\u8bbf\u95ee\u8d1f\u8f7d\u5e73\u8861\u5668\uff0c\u56e0\u6b64\u5fc5\u987b\u8003\u8651\u901a\u8fc7\u6dfb\u52a0\u9a8c\u8bc1\u5c42\u6765\u4fdd\u62a4\u6211\u4eec\u7684\u8ddf\u8e2a\u5b9e\u4f8b\u3002\u8fd9\u53ef\u4ee5\u901a\u8fc7\u00a0\u8eab\u4efd\u8bc6\u522b\u4ee3\u7406<\/a>\u00a0\u4f46\u672c\u6587\u4e0d\u6d89\u53ca\u3002.<\/p>\n<\/div>3.\u521b\u5efa\u57fa\u672c\u6a21\u578b<\/h3><\/div>\u73b0\u5728\uff0c\u6211\u4eec\u7684\u57fa\u7840\u67b6\u6784\u548c Mlflow \u5b9e\u4f8b\u5df2\u7ecf\u51c6\u5907\u5c31\u7eea\uff0c\u6211\u4eec\u53ef\u4ee5\u5c1d\u8bd5\u8fd0\u884c\u4e00\u4e2a\u7b80\u5355\u7684 ML \u6a21\u578b\uff0c\u5e76\u5c06\u5176\u4fdd\u5b58\u5728\u6a21\u578b\u6ce8\u518c\u8868\u4e2d\uff0c\u4ee5\u4f9b\u4ee5\u540e\u4f7f\u7528\u3002.
\n\u6211\u4eec\u5c06\u4f7f\u7528\u8461\u8404\u9152\u8d28\u91cf dataset\uff0c\u5b83\u7531\u7ea6 4900 \u4e2a\u6837\u672c\u548c 11 \u4e2a\u53cd\u6620\u8461\u8404\u9152\u7279\u5f81\u7684\u7279\u5f81\u7ec4\u6210\u3002\u6807\u7b7e\u8303\u56f4\u4ece 3 \u5230 9\uff0c\u53ef\u89c6\u4e3a\u8bc4\u7ea7\u3002.
\n\u8fd9\u662f\u4e00\u4e2a\u7ecf\u5178\u793a\u4f8b\uff0c\u6211\u4eec\u5728\u5176\u4e2d\u8bad\u7ec3\u4e86\u4e00\u4e2a Xgboost \u56de\u5f52\u6a21\u578b\uff0c\u5e76\u5c06\u5176\u4e0e\u53c2\u6570\u548c\u6307\u6807\u4e00\u8d77\u5b58\u50a8\u3002\u5b8c\u6574\u4ee3\u7801\u5982\u4e0b\u00a0\u7b14\u8bb0\u672c<\/a>.
\n\u60a8\u53ef\u80fd\u5df2\u7ecf\u6ce8\u610f\u5230\uff0cMlflow \u7684\u96c6\u6210\u975e\u5e38\u7b80\u5355\uff0c\u53ef\u4ee5\u7528\u4e0b\u9762\u7684\u4ee3\u7801\u7247\u6bb5\u6765\u6982\u62ec\uff0c\u5373\u8c03\u7528\u00a0mlflow.start_run()\u3001mlflow.log_param()\u3001mlflow.log_metric() \u548c mlflow.xgboost.log_model()<\/strong><\/em>\u5206\u522b\u7528\u4e8e\u521b\u5efa\u65b0\u5b9e\u9a8c\u3001\u5b58\u50a8\u8bad\u7ec3\u53c2\u6570\u3001\u8bc4\u4f30\u6307\u6807\u548c\u8bad\u7ec3\u6a21\u578b\u672c\u8eab\u3002.<\/p>\n<\/div>\u4f7f\u7528 mlflow.start_run() \u4f5c\u4e3a\u8fd0\u884c\uff1a\n \n # \u542f\u52a8 mlflow \u4f1a\u8bdd\n mlflow.log_param(\"max_depth\", max_depth)\n mlflow.log_param(\"min_child_weight\", min_child_weight)\n mlflow.log_param(\"estimators\", estimators)\n\n # \u521b\u5efa\u5e76\u62df\u5408\u6a21\u578b\n model = xgb.XGBRegressor(\n max_depth=max_depth\u3001\n min_child_weight=min_child_weight\u3001\n n_estimators=estimators\n random_state=42)\n model.fit(X_train, y_train)\n\n # MLflow \u6307\u6807\n predictions = model.predict(X_test)\n rmse = np.sqrt(mean_squared_error(y_test, predictions))\n mlflow.log_metric(\"rmse\", rmse)\n\n # \u5bf9\u6570\u6a21\u578b\n mlflow.xgboost.log_model(model, \"xgboost-model\", registered_model_name = model_name)\n\u8fd0\u884c\u6240\u63d0\u4f9b\u7684\u7b14\u8bb0\u672c\u540e\uff0c\u8ddf\u8e2a\u5b9e\u4f8b\u754c\u9762\u4e2d\u5c06\u65b0\u589e\u4e00\u884c\uff0c\u4e0e\u65b0\u5b9e\u9a8c\u76f8\u5bf9\u5e94\u3002.<\/p>\n<\/div>
\u6700\u540e\uff0c\u5982\u679c\u6211\u4eec\u5bf9\u6a21\u578b\u7684\u6027\u80fd\u611f\u5230\u6ee1\u610f\uff0c\u5c31\u53ef\u4ee5\u4ece\u8ddf\u8e2a\u5b9e\u4f8b\u4e2d\u52a0\u8f7d\u6a21\u578b\uff0c\u5e76\u5728 python \u4e2d\u4f7f\u7528\u5b83\u8fdb\u884c\u63a8\u7406\u3002\u8fd9\u4e5f\u53ef\u4ee5\u901a\u8fc7\u4e4b\u524d\u5171\u4eab\u7684\u7b14\u8bb0\u672c\u6765\u5b9e\u73b0\u3002\u8bf7\u6ce8\u610f\uff0c\u5728\u672c\u4f8b\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528\u8fd0\u884c ID \u52a0\u8f7d\u4e86\u6a21\u578b\uff0c\u4f46\u8bf7\u8bb0\u4f4f\uff0cMlflow \u8fd8\u63d0\u4f9b\u4e86\u5176\u4ed6\u6709\u8da3\u7684\u65b9\u6cd5\uff0c\u53ef\u4ee5\u901a\u8fc7\u6807\u7b7e\u3001\u7248\u672c\u6216\u9636\u6bb5\u6765\u8bc6\u522b\u6a21\u578b\u3002\u66f4\u591a\u8be6\u60c5\u8bf7\u53c2\u8003\u6a21\u578b\u6ce8\u518c\u6587\u6863\u00a0\u8fd9\u91cc<\/a>.<\/p>\n<\/div>\u7ed3\u8bba<\/h2><\/div>\u5728\u8fd9\u7bc7\u6587\u7ae0\u4e2d\uff0c\u6211\u4eec\u8bbe\u6cd5\u90e8\u7f72\u4e86 Mlflow \u8ddf\u8e2a\u5b9e\u4f8b\u6765\u5904\u7406\u6211\u4eec\u7684 data \u79d1\u5b66\u5b9e\u9a8c\uff0c\u5e76\u901a\u8fc7\u4e00\u4e2a\u5feb\u901f\u793a\u4f8b\u6f14\u793a\u4e86\u5982\u4f55\u8bb0\u5f55\u6a21\u578b\u5e76\u5c06\u5176\u4fdd\u5b58\u8d77\u6765\uff0c\u4ee5\u4fbf\u5c06\u6765\u5728 python \u4e0a\u8fdb\u884c\u63a8\u7406\u3002\u5728\u672c\u7cfb\u5217\u7684\u4e0b\u4e00\u7bc7\u6587\u7ae0\u4e2d\uff0c\u6211\u4eec\u5c06\u5b66\u4e60\u5982\u4f55\u5c06\u6b64\u6a21\u578b\u4f5c\u4e3a API \u63d0\u4f9b\u3002\u8fd9\u4e00\u70b9\u975e\u5e38\u91cd\u8981\uff0c\u56e0\u4e3a\u5b83\u6709\u52a9\u4e8e\u4e0e\u6a21\u578b\u8fdb\u884c\u4ea4\u4e92\u5e76\u5c06\u5176\u96c6\u6210\u5230\u4ea7\u54c1\u6216\u5e94\u7528\u7a0b\u5e8f\u4e2d\u3002\u6b64\u5916\uff0c\u5728 Kubernetes \u4e0a\u8fd0\u884c\u53ef\u786e\u4fdd\u6a21\u578b\u6613\u4e8e\u6269\u5c55\uff0c\u5e76\u80fd\u5904\u7406\u4e0d\u540c\u7684\u8d1f\u8f7d\u6c34\u5e73\u3002.<\/p>\n<\/div><\/div><\/div><\/div><\/article>
Mlflow \u662f data \u79d1\u5b66\/ML \u793e\u533a\u5e7f\u6cdb\u4f7f\u7528\u7684\u5de5\u5177\uff0c\u7528\u4e8e\u5728\u4e0d\u540c\u9636\u6bb5\u8ddf\u8e2a\u5b9e\u9a8c\u548c\u7ba1\u7406\u673a\u5668\u5b66\u4e60\u6a21\u578b\u3002\u5229\u7528\u5b83\uff0c\u6211\u4eec\u53ef\u4ee5\u5b58\u50a8\u6307\u6807\u3001\u6a21\u578b\u548c\u5de5\u4ef6\uff0c\u4ece\u800c\u8f7b\u677e\u6bd4\u8f83\u6a21\u578b\u7684\u6027\u80fd\u5e76\u5904\u7406\u5176\u751f\u547d\u5468\u671f\u3002\u6b64\u5916\uff0cMlflow \u8fd8\u63d0\u4f9b\u4e86\u4e00\u4e2a\u6a21\u5757\uff0c\u53ef\u5c06\u6a21\u578b\u4f5c\u4e3a API \u7aef\u70b9\u63d0\u4f9b\uff0c\u4ece\u800c\u65b9\u4fbf\u5c06\u5176\u96c6\u6210\u5230\u4efb\u4f55\u4ea7\u54c1\u6216\u7f51\u7edc\u5e94\u7528\u7a0b\u5e8f\u4e2d\u3002.<\/p>\n<\/div>
\u4e5f\u5c31\u662f\u8bf4\uff0c\u5728\u5728\u7ebf\u4ea7\u54c1\u4e2d\u4f7f\u7528\u673a\u5668\u5b66\u4e60\u5f88\u9177\uff0c\u4f46\u6839\u636e\u6a21\u578b\u7684\u5927\u5c0f\u3001\u6027\u8d28\uff08ML\u3001\u6df1\u5ea6\u5b66\u4e60......\uff09\u548c\u8d1f\u8f7d\uff08\u7528\u6237\u8bf7\u6c42\uff09\uff0c\u5bf9\u6240\u9700\u8d44\u6e90\u8fdb\u884c\u7ef4\u5ea6\u8c03\u6574\u5e76\u4fdd\u8bc1\u5408\u7406\u7684\u54cd\u5e94\u65f6\u95f4\u53ef\u80fd\u5177\u6709\u6311\u6218\u6027\u3002\u56e0\u6b64\uff0c\u4f7f\u7528 Kubernetes \u96c6\u7fa4\u7b49\u53ef\u6269\u5c55\u57fa\u7840\u8bbe\u65bd\u662f\u5728\u63a8\u7406\u9636\u6bb5\u4fdd\u6301\u670d\u52a1\u53ef\u7528\u6027\u548c\u6027\u80fd\u7684\u5173\u952e\u3002.<\/p>\n
\u4e3a\u6b64\uff0c\u6211\u4eec\u5c06\u53d1\u8868\u4e09\u7bc7\u7cfb\u5217\u6587\u7ae0\uff0c\u56de\u7b54\u4ee5\u4e0b\u95ee\u9898\uff1a<\/p>\n<\/div>
- <\/i><\/span>\u5982\u4f55\u5728 Kubernetes \u4e0a\u90e8\u7f72\u548c\u4f7f\u7528 Mlflow \u8ddf\u8e2a\u5b9e\u4f8b\uff1f<\/div><\/li>
- <\/i><\/span>
\u5982\u4f55\u4f7f\u7528 Mlflow \u5c06\u673a\u5668\u5b66\u4e60\u6a21\u578b\u4f5c\u4e3a API \u63d0\u4f9b\uff1f<\/div><\/li>- <\/i><\/span>
\u5982\u4f55\u5904\u7406\u5927\u91cf\u8bf7\u6c42\uff0c\u5e76\u4f7f\u6211\u4eec\u7684\u63a8\u7406\u4efb\u52a1\u53ef\u4ee5\u6269\u5c55\u5230\u5de5\u4e1a\u5316\u4ea7\u54c1\uff1f<\/div><\/li><\/ul>\u56e0\u6b64\uff0c\u8ba9\u6211\u4eec\u4ece\u7b2c\u4e00\u7bc7\u6587\u7ae0\u5f00\u59cb\uff0c\u4ecb\u7ecd Kubernetes \u53ca\u5176\u7ec4\u4ef6\uff0c\u5e76\u901a\u8fc7\u65e5\u5fd7\u6a21\u578b\u90e8\u7f72\u8ddf\u8e2a\u5b9e\u4f8b\u3002.<\/p>\n<\/div>
Kubernetes \u6982\u8ff0<\/h2><\/div>
Kubernetes \u662f\u8c37\u6b4c\u5728 2014 \u5e74\u53d1\u5e03\u7684\u4e00\u4e2a\u5f00\u6e90\u9879\u76ee\u3002\u5b83\u662f\u4e00\u4e2a\u5bb9\u5668\u63a7\u5236\u548c\u7f16\u6392\u7cfb\u7edf\uff0c\u53ef\u5b9e\u73b0\u5e94\u7528\u7a0b\u5e8f\u7684\u81ea\u52a8\u90e8\u7f72\u3001\u6269\u5c55\u548c\u8c03\u5ea6\u3002\u5176\u67b6\u6784\u5982\u4e0b\uff1a<\/p>\n<\/div>
\u4e3b\u4eba<\/strong>:\u5b83\u5904\u7406\u8f93\u5165\u914d\u7f6e\uff0c\u8c03\u5ea6\u4e0d\u540c\u8282\u70b9\u4e0a\u7684\u5bb9\u5668\u5316\u5e94\u7528\u7a0b\u5e8f\uff0c\u5e76\u76d1\u63a7\u5b83\u4eec\u7684\u72b6\u6001\u3002\u4e3b\u8282\u70b9\u7531\u4ee5\u4e0b\u90e8\u5206\u7ec4\u6210<\/p>\n<\/div>
- <\/i><\/span>\u5e94\u7528\u7a0b\u5e8f\u63a5\u53e3\u670d\u52a1\u5668\uff1a\u00a0<\/strong>\u5141\u8bb8\u4e0e\u7fa4\u96c6\u4ea4\u4e92\uff0c\u5e76\u9a8c\u8bc1\u5f00\u53d1\u4eba\u5458\u53d1\u9001\u7684\u66f4\u65b0\u7fa4\u96c6\u6216\u5e94\u7528\u7a0b\u5e8f\u72b6\u6001\u7684\u547d\u4ee4\u3002.<\/div><\/li>
- <\/i><\/span>
\u8c03\u5ea6\u5458<\/strong>\u51b3\u5b9a\u00a0<\/strong>\u5e94\u5728\u54ea\u4e9b\u8282\u70b9\u4e0a\u8fd0\u884c\u65b0\u5bf9\u8c61\uff0c\u4ee5\u786e\u4fdd\u7a33\u5b9a\u6027\u548c\u8d1f\u8f7d\u5e73\u8861\u3002.<\/div><\/li>- <\/i><\/span>
\u7b49\u7b49\uff1a<\/strong>\u00a0\u5b58\u50a8\u4e0d\u540c\u8d44\u6e90\u914d\u7f6e\u548c\u72b6\u6001\u7684\u952e\u503c database<\/div><\/li>- <\/i><\/span>
\u4e3b\u8ba1\u957f\u7ecf\u7406\uff1a<\/strong>\u76d1\u63a7\u96c6\u7fa4\u72b6\u6001\u548c\u4e0d\u540c\u8d44\u6e90\uff0c\u786e\u4fdd\u5f53\u524d\u72b6\u6001\u4e0e\u6240\u9700\u72b6\u6001\u4e00\u81f4\u3002.<\/div><\/li><\/ul>\u8282\u70b9\uff1a<\/strong> \u5b83\u4eec\u662f\u5df2\u90e8\u7f72\u5bb9\u5668\u6240\u5728\u7684\u6267\u884c\u8282\u70b9\u3002\u5b83\u4eec\u7684\u4e3b\u8981\u7ec4\u6210\u90e8\u5206\u662f<\/p>\n<\/div>
- <\/i><\/span>\u82b1\u82de\u00a0<\/strong>\u662f Kubernetes \u4e2d\u6700\u57fa\u672c\u7684\u6267\u884c\u5355\u5143\u3002Pod \u5c06\u5e94\u7528\u7a0b\u5e8f\u5c01\u88c5\u4e3a\u5355\u4e2a\u5bb9\u5668\u6216\u591a\u4e2a\u5bb9\u5668\uff0c\u8fd9\u4e9b\u5bb9\u5668\u901a\u8fc7\u5171\u4eab\u5b58\u50a8\u5377\u548c\u7f51\u7edc\u534f\u540c\u5de5\u4f5c\u3002.<\/div><\/li>
- <\/i><\/span>
\nKubelet\uff1a<\/strong>\u662f\u00a0<\/strong>\u4e00\u4e2a\u00a0<\/strong>\u4ee3\u7406\uff0c\u7528\u4e8e\u68c0\u67e5\u5bb9\u5668\u72b6\u6001\u5e76\u4e0e Kubernetes \u4e3b\u7ad9\u901a\u4fe1\u3002.<\/p>\n<\/div><\/li><\/ul>
\u5f53\u5e94\u7528\u7a0b\u5e8f\u6709\u591a\u4e2a\u670d\u52a1\u76f8\u4e92\u901a\u4fe1\u65f6\uff0c\u5b83\u662f\u9996\u9009\uff0c\u56e0\u4e3a\u5b83\u80fd\u786e\u4fdd\u6bcf\u4e2a\u670d\u52a1\u90fd\u6709\u81ea\u5df1\u7684\u5bb9\u5668\u5316\u73af\u5883\uff0c\u5e76\u6709\u4e00\u5957\u4e0e\u5176\u4ed6\u670d\u52a1\u4ea4\u4e92\u7684\u89c4\u5219\u3002\u6b64\u5916\uff0c\u5b83\u8fd8\u63d0\u4f9b\u4e86\u4e00\u79cd\u6709\u8da3\u7684\u529f\u80fd\uff0c\u5373\u53ef\u4ee5\u6269\u5c55\u5e94\u7528\u7a0b\u5e8f\uff0c\u800c\u4e0d\u5fc5\u62c5\u5fc3\u7ba1\u7406\u6216\u540c\u6b65\u65b0\u670d\u52a1\u4ee5\u53ca\u5e73\u8861\u4e0d\u540c\u673a\u5668\u4e4b\u95f4\u7684\u8d44\u6e90\u3002.<\/p>\n
\u4ece\u9ad8\u5c42\u6b21\u7684\u89d2\u5ea6\u6765\u770b\uff0c\u4f5c\u4e3a data \u79d1\u5b66\u5bb6\u6216 ML \u5de5\u7a0b\u5e08\uff0c\u6211\u4eec\u5c06\u901a\u8fc7 Kubernetes \u7684\u670d\u52a1\u5668 API\uff0c\u4f7f\u7528 CLI \u547d\u4ee4\u6216 YAML \u914d\u7f6e\u6587\u4ef6\u4e0e Kubernetes \u8fdb\u884c\u4ea4\u4e92\uff0c\u4ee5\u90e8\u7f72\u548c\u516c\u5f00\u5e94\u7528\u7a0b\u5e8f\u6216\u83b7\u53d6\u8d44\u6e90\u72b6\u6001\u3002.<\/p>\n<\/div>
\u5b9e\u8df5\u524d\u8981\u6c42<\/h2><\/div>
\u5728\u672c\u6b21\u5b9e\u8df5\u4e2d\uff0c\u6211\u4eec\u5c06\u4f7f\u7528 GCP \u4f5c\u4e3a cloud \u63d0\u4f9b\u5546\u3002\u9996\u5148\uff0c\u6211\u4eec\u9700\u8981.NET Framework\uff1a<\/p>\n<\/div>
1.\u521b\u5efa\u57fa\u7840\u8bbe\u65bd\u8981\u7d20<\/h3><\/div>
- <\/i><\/span>mlflow_gke\uff1a<\/strong> \u5b58\u50a8\u6587\u4ef6\u7684\u6876\uff0cdatasets...<\/div><\/li>
- <\/i><\/span>
\nmlflow-k8s<\/strong>\u90e8\u7f72\u8ddf\u8e2a\u6a21\u5757\u548c\u673a\u5668\u5b66\u4e60\u6a21\u578b\uff1a\u90e8\u7f72\u4e00\u4e2a\u4e09\u8282\u70b9\uff08e2-highcpu-4\uff09GKE \u96c6\u7fa4\u3002.<\/p>\n<\/div><\/li>
- <\/i><\/span>
\n\u8d1f\u8f7d\u6d4b\u8bd5\uff1a\u00a0<\/strong>\u4e00\u4e2a\u4e09\u8282\u70b9\uff08e2-\u6807\u51c6-2\uff09GKE \u96c6\u7fa4\u6765\u6267\u884c\u8d1f\u8f7d\u6d4b\u8bd5\u3002\u5b83\u5c06\u5728\u672c\u7cfb\u5217\u7684\u7b2c\u4e09\u7bc7\u6587\u7ae0\u4e2d\u4f7f\u7528\u3002.<\/p>\n<\/div><\/li><\/ul>
2.\u914d\u7f6e\u672c\u5730\u5de5\u4f5c\u7ad9<\/h3><\/div>
- <\/i><\/span>\n
\u5b89\u88c5\u4e0e GCP \u548c mlflow cli \u4ea4\u4e92\u6240\u9700\u7684 python<\/p>\n
pip install mlflow gcsfs google-cloud google-cloud-storage kubernetes<\/span><\/pre>\n<\/div><\/li>- <\/i><\/span>
\u6709\u00a0gcloud<\/a>\u00a0\u548c\u00a0kubectl<\/a>\u00a0\u914d\u7f6e\u4e86\u8bbf\u95ee GCP \u9879\u76ee\u548c\u7fa4\u96c6\u7684\u51ed\u8bc1<\/div><\/li>- <\/i><\/span>
\u5df2\u5b89\u88c5\u5e76\u521d\u59cb\u5316 Helm CLI\u3002\u8bf7\u00a0\u5728\u6b64\u627e\u5230\u8bf4\u660e<\/a>\u00a0\u4ee5\u9632\u60a8\u8fd8\u6ca1\u6709\u5ba2\u6237\u7aef\u3002.<\/div><\/li><\/ul>3.\u514b\u9686\u5b9e\u8df5\u9879\u76ee\u4ed3\u5e93\u4ee5\u83b7\u53d6\u4ee3\u7801<\/h3><\/div>
\u514b\u9686 https:\/\/github.com\/artefactory-global\/mlflow-serving-example<\/a><\/p>\n<\/div>
Mlflow \u8ddf\u8e2a\u5b9e\u4f8b\u90e8\u7f72<\/h2><\/div>
1.\u8bbe\u7f6e\u7fa4\u96c6\u73af\u5883<\/h3><\/div>
- <\/i><\/span>\u521b\u5efa\u670d\u52a1\u8d26\u6237\uff0c\u4ee5\u4fbf\u4e0e GCS \u4ea4\u4e92
\n<\/strong>\u53ef\u4ee5\u901a\u8fc7 google cloud \u63a7\u5236\u53f0\u7684\u00a0\u6211\u7684\u90e8\u95e8<\/a>. .\u6211\u4eec\u9700\u8981\u521b\u5efa\u4e00\u4e2a\u5177\u6709\u5b58\u50a8\u5bf9\u8c61\u7ba1\u7406\u6743\u9650\u7684\u670d\u52a1\u8d26\u6237\uff0c\u751f\u6210\u4e00\u4e2a\u8eab\u4efd\u9a8c\u8bc1\u5bc6\u94a5\uff0c\u5e76\u5c06\u5176\u4e0b\u8f7d\u4e3a keyfile.json \u6587\u4ef6\u3002<\/div><\/li>- <\/i><\/span>
\u5c06\u9a8c\u8bc1\u6587\u4ef6\u6302\u8f7d\u4e3a\u5bc6\u6587<\/strong>
\n<\/strong>\u79d8\u5bc6\u5141\u8bb8\u6211\u4eec\u4ee5\u5b89\u5168\u7684\u65b9\u5f0f\u5904\u7406\u51ed\u8bc1\uff0c\u4f7f\u5176\u53ea\u5bf9\u76f8\u5173\u8d44\u6e90\u53ef\u89c1\u3002.\u00a0<\/strong>\u4e3a\u6b64\uff0c\u6211\u4eec\u5c06\u521b\u5efa\u4e00\u4e2a\u79d8\u5bc6\u5377\uff0c\u5e76\u53ea\u5411\u9700\u8981\u7684\u5bb9\u5668\u516c\u5f00\u8eab\u4efd\u9a8c\u8bc1\u6587\u4ef6\u3002.
\nkubectl create secret generic gcsfs-creds -from-file=.\/keyfile.json<\/span><\/div><\/li><\/ul>2.\u8ddf\u8e2a\u670d\u52a1\u5668\u90e8\u7f72\u60c5\u51b5<\/h3><\/div>
- <\/i><\/span>Postgres \u5b58\u50a8<\/strong>
\n<\/strong>Postgre \u662f mlflow \u7684\u540e\u7aef\u5b58\u50a8\u5355\u5143\uff0c\u7528\u4e8e\u4fdd\u5b58\u6a21\u578b metadata \u548c\u6307\u6807\u3002.
\n\u8981\u90e8\u7f72\u5b83\uff0c\u6211\u4eec\u5c06\u4f7f\u7528 Helm\uff1aKubernetes \u7684\u8d44\u6e90\u7ba1\u7406\u5668\uff0c\u5176\u4e2d\u8bb8\u591a\u5e94\u7528\u7a0b\u5e8f\u90fd\u4ee5\u56fe\u8868\u6216\u6a21\u677f\u7684\u683c\u5f0f\u63d0\u4f9b\uff0c\u53ef\u4ee5\u901a\u8fc7\u7b80\u5355\u7684\u547d\u4ee4\u8fdb\u884c\u914d\u7f6e\u3002.<\/p>\n#docs: https:\/\/artifacthub.io\/packages\/helm\/bitnami\/postgresql<\/span>helm repo add bitnami https:\/\/charts.bitnami.com\/bitnami<\/span>helm install mlf-db bitnami\/postgresql --set postgresqlDatabase=mlflow_db --set postgresqlPassword=mlflow --set service.type=NodePort<\/span><\/pre>\n<\/div><\/li>- <\/i><\/span>
\u8ddf\u8e2a\u5b9e\u4f8b<\/strong>
\n<\/strong>\u6211\u4eec\u8fd8\u5c06\u4f7f\u7528 Helm \u56fe\u8868\u6765\u90e8\u7f72\u8ddf\u8e2a\u670d\u52a1\u5668\uff0c\u4f46\u9996\u5148\uff0c\u6211\u4eec\u9700\u8981\u7528\u6211\u4eec\u60f3\u8981\u7684\u7248\u672c\u6784\u5efa\u4e00\u4e2a docker \u955c\u50cf\uff0c\u4ee5\u4fbf Helm \u80fd\u591f\u4e0b\u8f7d\u548c\u90e8\u7f72\u5b83\u3002\u8bf7\u6ce8\u610f\uff0cPostgres \u7684\u955c\u50cf\u5df2\u7ecf\u5728\u516c\u5171\u5b58\u50a8\u5e93\u4e2d\uff0c\u4f46\u5728\u8fd9\u91cc\u6211\u4eec\u5c06\u521b\u5efa\u81ea\u5df1\u7684\u955c\u50cf\u3002.<\/p>\ncd mlflow-serving-example<\/span>docker build --tag $\/mlflow-tracking-server:v1 --file dockerfile_mlflow_tracking .<\/span>docker push $\/mlflow-tracking-server:v1<\/span><\/pre>\n<\/div><\/li><\/ul>\u5c06\u955c\u50cf\u63a8\u9001\u5230\u955c\u50cf\u6ce8\u518c\u8868\u540e\uff0c\u6211\u4eec\u5c31\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u901a\u8fc7 helm \u5c06\u5176\u90e8\u7f72\u5230\u7fa4\u96c6\u4e0a\u3002.<\/p>\n
helm repo \u6dfb\u52a0 mlflow-tracking https:\/\/artefactory-global.github.io\/mlflow-tracking-server\/<\/a><\/span>helm install mlf-ts mlflow-tracking\/mlflow-tracking-server\n--set env.mlflowArtifactPath=$\n--set env.mlflowDBAddr=mlf-db-postgresql\n--\u8bbe\u7f6e env.mlflowUser=postgres\n--\u8bbe\u7f6e env.mlflowPass=mlflow\n--\u8bbe\u7f6e env.mlflowDBName=mlflow_db\n--set env.mlflowDBPort=5432\n--\u8bbe\u7f6e service.type=LoadBalancer\n--\u8bbe\u7f6e image.repository=$\/mlflow-tracking-server\n--set image.tag=v1<\/span><\/pre>\n\u73b0\u5728\uff0cMlflow \u5e94\u5df2\u542f\u52a8\u5e76\u8fd0\u884c\uff0c\u7528\u6237\u754c\u9762\u5e94\u53ef\u901a\u8fc7\u8d1f\u8f7d\u5e73\u8861\u5668 IP \u8bbf\u95ee\u3002\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u00a0k<\/em>ubectl get services<\/em>.<\/em><\/strong>A<\/em>\u6b64\u5916\uff0c\u6211\u4eec\u8fd8\u53ef\u4ee5\u901a\u8fc7\u8bbf\u95ee\u65e5\u5fd7\u6765\u8c03\u8bd5\u90e8\u7f72\u00a0\u7ecf\u7531\u00a0<\/em>kubectl describe pods<\/strong>.<\/em>
\u5230\u76ee\u524d\u4e3a\u6b62\uff0c\u6211\u4eec\u76ee\u524d\u7684\u67b6\u6784\u5982\u4e0b\uff1a<\/p>\n<\/div>\u8bf7\u6ce8\u610f\uff0c\u4e92\u8054\u7f51\u4e0a\u7684\u4efb\u4f55\u4eba\u90fd\u53ef\u4ee5\u8bbf\u95ee\u8d1f\u8f7d\u5e73\u8861\u5668\uff0c\u56e0\u6b64\u5fc5\u987b\u8003\u8651\u901a\u8fc7\u6dfb\u52a0\u9a8c\u8bc1\u5c42\u6765\u4fdd\u62a4\u6211\u4eec\u7684\u8ddf\u8e2a\u5b9e\u4f8b\u3002\u8fd9\u53ef\u4ee5\u901a\u8fc7\u00a0\u8eab\u4efd\u8bc6\u522b\u4ee3\u7406<\/a>\u00a0\u4f46\u672c\u6587\u4e0d\u6d89\u53ca\u3002.<\/p>\n<\/div>
3.\u521b\u5efa\u57fa\u672c\u6a21\u578b<\/h3><\/div>
\u73b0\u5728\uff0c\u6211\u4eec\u7684\u57fa\u7840\u67b6\u6784\u548c Mlflow \u5b9e\u4f8b\u5df2\u7ecf\u51c6\u5907\u5c31\u7eea\uff0c\u6211\u4eec\u53ef\u4ee5\u5c1d\u8bd5\u8fd0\u884c\u4e00\u4e2a\u7b80\u5355\u7684 ML \u6a21\u578b\uff0c\u5e76\u5c06\u5176\u4fdd\u5b58\u5728\u6a21\u578b\u6ce8\u518c\u8868\u4e2d\uff0c\u4ee5\u4f9b\u4ee5\u540e\u4f7f\u7528\u3002.
\n\u6211\u4eec\u5c06\u4f7f\u7528\u8461\u8404\u9152\u8d28\u91cf dataset\uff0c\u5b83\u7531\u7ea6 4900 \u4e2a\u6837\u672c\u548c 11 \u4e2a\u53cd\u6620\u8461\u8404\u9152\u7279\u5f81\u7684\u7279\u5f81\u7ec4\u6210\u3002\u6807\u7b7e\u8303\u56f4\u4ece 3 \u5230 9\uff0c\u53ef\u89c6\u4e3a\u8bc4\u7ea7\u3002.
\n\u8fd9\u662f\u4e00\u4e2a\u7ecf\u5178\u793a\u4f8b\uff0c\u6211\u4eec\u5728\u5176\u4e2d\u8bad\u7ec3\u4e86\u4e00\u4e2a Xgboost \u56de\u5f52\u6a21\u578b\uff0c\u5e76\u5c06\u5176\u4e0e\u53c2\u6570\u548c\u6307\u6807\u4e00\u8d77\u5b58\u50a8\u3002\u5b8c\u6574\u4ee3\u7801\u5982\u4e0b\u00a0\u7b14\u8bb0\u672c<\/a>.
\n\u60a8\u53ef\u80fd\u5df2\u7ecf\u6ce8\u610f\u5230\uff0cMlflow \u7684\u96c6\u6210\u975e\u5e38\u7b80\u5355\uff0c\u53ef\u4ee5\u7528\u4e0b\u9762\u7684\u4ee3\u7801\u7247\u6bb5\u6765\u6982\u62ec\uff0c\u5373\u8c03\u7528\u00a0mlflow.start_run()\u3001mlflow.log_param()\u3001mlflow.log_metric() \u548c mlflow.xgboost.log_model()<\/strong><\/em>\u5206\u522b\u7528\u4e8e\u521b\u5efa\u65b0\u5b9e\u9a8c\u3001\u5b58\u50a8\u8bad\u7ec3\u53c2\u6570\u3001\u8bc4\u4f30\u6307\u6807\u548c\u8bad\u7ec3\u6a21\u578b\u672c\u8eab\u3002.<\/p>\n<\/div>\u4f7f\u7528 mlflow.start_run() \u4f5c\u4e3a\u8fd0\u884c\uff1a\n \n # \u542f\u52a8 mlflow \u4f1a\u8bdd\n mlflow.log_param(\"max_depth\", max_depth)\n mlflow.log_param(\"min_child_weight\", min_child_weight)\n mlflow.log_param(\"estimators\", estimators)\n\n # \u521b\u5efa\u5e76\u62df\u5408\u6a21\u578b\n model = xgb.XGBRegressor(\n max_depth=max_depth\u3001\n min_child_weight=min_child_weight\u3001\n n_estimators=estimators\n random_state=42)\n model.fit(X_train, y_train)\n\n # MLflow \u6307\u6807\n predictions = model.predict(X_test)\n rmse = np.sqrt(mean_squared_error(y_test, predictions))\n mlflow.log_metric(\"rmse\", rmse)\n\n # \u5bf9\u6570\u6a21\u578b\n mlflow.xgboost.log_model(model, \"xgboost-model\", registered_model_name = model_name)\n\u8fd0\u884c\u6240\u63d0\u4f9b\u7684\u7b14\u8bb0\u672c\u540e\uff0c\u8ddf\u8e2a\u5b9e\u4f8b\u754c\u9762\u4e2d\u5c06\u65b0\u589e\u4e00\u884c\uff0c\u4e0e\u65b0\u5b9e\u9a8c\u76f8\u5bf9\u5e94\u3002.<\/p>\n<\/div>
\u6700\u540e\uff0c\u5982\u679c\u6211\u4eec\u5bf9\u6a21\u578b\u7684\u6027\u80fd\u611f\u5230\u6ee1\u610f\uff0c\u5c31\u53ef\u4ee5\u4ece\u8ddf\u8e2a\u5b9e\u4f8b\u4e2d\u52a0\u8f7d\u6a21\u578b\uff0c\u5e76\u5728 python \u4e2d\u4f7f\u7528\u5b83\u8fdb\u884c\u63a8\u7406\u3002\u8fd9\u4e5f\u53ef\u4ee5\u901a\u8fc7\u4e4b\u524d\u5171\u4eab\u7684\u7b14\u8bb0\u672c\u6765\u5b9e\u73b0\u3002\u8bf7\u6ce8\u610f\uff0c\u5728\u672c\u4f8b\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528\u8fd0\u884c ID \u52a0\u8f7d\u4e86\u6a21\u578b\uff0c\u4f46\u8bf7\u8bb0\u4f4f\uff0cMlflow \u8fd8\u63d0\u4f9b\u4e86\u5176\u4ed6\u6709\u8da3\u7684\u65b9\u6cd5\uff0c\u53ef\u4ee5\u901a\u8fc7\u6807\u7b7e\u3001\u7248\u672c\u6216\u9636\u6bb5\u6765\u8bc6\u522b\u6a21\u578b\u3002\u66f4\u591a\u8be6\u60c5\u8bf7\u53c2\u8003\u6a21\u578b\u6ce8\u518c\u6587\u6863\u00a0\u8fd9\u91cc<\/a>.<\/p>\n<\/div>
\u7ed3\u8bba<\/h2><\/div>
\u5728\u8fd9\u7bc7\u6587\u7ae0\u4e2d\uff0c\u6211\u4eec\u8bbe\u6cd5\u90e8\u7f72\u4e86 Mlflow \u8ddf\u8e2a\u5b9e\u4f8b\u6765\u5904\u7406\u6211\u4eec\u7684 data \u79d1\u5b66\u5b9e\u9a8c\uff0c\u5e76\u901a\u8fc7\u4e00\u4e2a\u5feb\u901f\u793a\u4f8b\u6f14\u793a\u4e86\u5982\u4f55\u8bb0\u5f55\u6a21\u578b\u5e76\u5c06\u5176\u4fdd\u5b58\u8d77\u6765\uff0c\u4ee5\u4fbf\u5c06\u6765\u5728 python \u4e0a\u8fdb\u884c\u63a8\u7406\u3002\u5728\u672c\u7cfb\u5217\u7684\u4e0b\u4e00\u7bc7\u6587\u7ae0\u4e2d\uff0c\u6211\u4eec\u5c06\u5b66\u4e60\u5982\u4f55\u5c06\u6b64\u6a21\u578b\u4f5c\u4e3a API \u63d0\u4f9b\u3002\u8fd9\u4e00\u70b9\u975e\u5e38\u91cd\u8981\uff0c\u56e0\u4e3a\u5b83\u6709\u52a9\u4e8e\u4e0e\u6a21\u578b\u8fdb\u884c\u4ea4\u4e92\u5e76\u5c06\u5176\u96c6\u6210\u5230\u4ea7\u54c1\u6216\u5e94\u7528\u7a0b\u5e8f\u4e2d\u3002\u6b64\u5916\uff0c\u5728 Kubernetes \u4e0a\u8fd0\u884c\u53ef\u786e\u4fdd\u6a21\u578b\u6613\u4e8e\u6269\u5c55\uff0c\u5e76\u80fd\u5904\u7406\u4e0d\u540c\u7684\u8d1f\u8f7d\u6c34\u5e73\u3002.<\/p>\n<\/div><\/div><\/div><\/div><\/article>
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![\"Image\"](\"https:\/\/www.artefact.com\/\/wp-content\/uploads\/2021\/10\/article-kais.png\")
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![](\"https:\/\/www.artefact.com\/\/wp-content\/uploads\/2021\/03\/medium.png\" "\\"\u4e2d\u7b49\\"")
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