将预构建的训练模型(.mdl)文件和R脚本部署并运行到Azure机器学习工作区 [英] Deploying and running prebuilt trained model (.mdl) files and R Scripts into Azure Machine Learning Workspace

查看:148
本文介绍了将预构建的训练模型(.mdl)文件和R脚本部署并运行到Azure机器学习工作区的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

我们有一个预先构建的训练模型(.mdl)文件和
R脚本
。现在,我们需要在
Azure机器学习工作区中部署和运行这些预先构建的训练模型和R脚本。此外,在部署之后,我们希望在Azure机器学习工作区中将
实验发布为Web服务,以便稍后我们可以使用Web服务。

We have a written pre-built trained model (.mdl) files and R Scripts. Now, we need to deploy and run these pre-built trained model and R Scripts in Azure Machine Learning workspace. Also, after deploying we want to publish the experiment as a web service in the Azure machine learning workspace so that later on we can consume the web service.

推荐答案

您好,

请参阅以下文档:

1)部署和运行模型:  https://docs.microsoft.com/en-us/azure/machine-learning/service/how-to-deploy-and-where

1) Deploy and run model: https://docs.microsoft.com/en-us/azure/machine-learning/service/how-to-deploy-and-where

2)消费您的网络服务:https://docs.microsoft.com/en-us/azure/machine-learning/service/how-to-consume-web-service

2) Consume your web service: https://docs.microsoft.com/en-us/azure/machine-learning/service/how-to-consume-web-service

请告诉我们是否你还有任何顾虑。谢谢。

Please tell us if you still have any concern. Thank you.

问候,

宇通


这篇关于将预构建的训练模型(.mdl)文件和R脚本部署并运行到Azure机器学习工作区的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!

查看全文
登录 关闭
扫码关注1秒登录
发送“验证码”获取 | 15天全站免登陆