ML Studio和数据控制 [英] ML Studio and control of data

问题描述

我想利用Azure机器学习Studio，但是在将数据传递到我们控制的环境之外时存在一些担忧.

I'd like to make use of the Azure Machine Learning Studio, but there are some concerns around passing our data outside of the environments we control.

我知道我们可以指定ML Studio实例所基于的订阅，但是该服务可以生效 内部环境?还是我们可以通过其他方式托管ML Studio，从而确保我们可以在环境中托管它.

I'm aware that we can specify what subscription the ML Studio instance exists upon, but does that service then live inside the environment? Or is there some other way we can host ML Studio that allows us to ensure that we can host it inside our environment.

例如，我知道您可以在自己的环境中设置的Azure VM上托管Azure功能.您可以使用ML Studio做类似的事情吗?

For instance, I know that you are able to host an Azure Function on a Azure VM you have set up in your own environment. Can you do something similar with ML Studio?

推荐答案

也许，Azure ML工程团队可以进一步解决，但我认为您不能在自定义环境中托管Azure ML Studio. Azure ML Studio的输入数据可以存储在您自己的订阅中:

Perhaps, the Azure ML engineering team can further address but I do not think you can host Azure ML Studio within your custom environment. Azure ML Studio's input data can be stored in your own subscription: https://docs.microsoft.com/en-us/azure/machine-learning/studio/import-data

根据我的理解，如果您想在环境中托管该解决方案，则需要考虑其他本地解决方案.

Based on my understanding you would need to consider other on-premise solutions if you want to host the solution within your environment.

此致，
Jaya

Regards,
Jaya

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