从Azure ML Studio下载经过训练的ML模型以部署在独立计算机上 [英] Download a trained ML Model from Azure ML studio to deploy on a standalone computer

问题描述

我已经在Azure ML studio 中设置了ML模型，并且能够使用ML Studio的Web API来获取预测.

将模型保留在Azure ML Studio中的主要挑战是客户端计算机的互联网依赖性以及与每个预测相关的延迟.

我想了解是否可以下载在Azure ML Studio中创建的模型并在本地使用(例如使用本地.Net应用程序).

几年后问了这个问题

期待听到潜在的解决方案.

解决方案

我认为您使用的是ML Studio经典版本.

Classic ML Studio不支持CODE SDK.

您可以迁移较新的Azure ML.

• 将数据集迁移到Azure机器学习.

• 使用设计器重建实验

.-使用设计器重新部署Web服务.

一旦迁移，模型

模型输出到Blob

您可以从此处下载模型.不确定是否对您有直接帮助.或者，您可以按照文章back, some people believed it was possible but without much details.

When a model has been trained, I do see the option of 'Save as Trained Model' as shown in the snapshot but I am not sure how this could eventually be downloaded to a local computer and consumed locally

Looking forward to hearing potential solutions.

解决方案

I think you are using the ML Studio classic version.

The Classic ML Studio doesn't support CODE SDKs.

You could migrate the newer Azure ML.

• Migrate datasets to Azure Machine Learning.

• Use the designer to rebuild experiments

. - Use the designer to redeploy web services.

Once you migrate, the model

The model gets outputted to blob

You can download the model from here.Not sure whether this will help you directly .Alternatively, you can use the trained model of the workspace by following the article here. The newer version supports the SDK. You will have to train and register the model in the ML Designer. Post which you can consume them from the local machine.

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