[英]Can I use Azure ML without Azure cloud services?
My question is a bit naive. 我的问题有点天真。 I use AWS for hosting my backend servers.
我使用AWS托管后端服务器。 I have lots of real-time data logs, which needs to used for Anomaly & Pattern Detection.
我有很多实时数据日志,这些日志需要用于异常和模式检测。 Microsoft Azure ML offers ready-made suites for the same, but the Azure ML documentation mentions about having to upload the CSV files onto Azure Blob.
Microsoft Azure ML为此提供了现成的套件,但是Azure ML文档提到必须将CSV文件上传到Azure Blob。
Is it possible to call Azure Machine Learning services from my servers directly, without having my servers on Azure Cloud/Blob? 是否可以直接从我的服务器调用Azure机器学习服务,而无需将我的服务器放在Azure Cloud / Blob上? I couldn't find about this on Azure ML's website.
我在Azure ML的网站上找不到此信息。 Thanks
谢谢
Once you deploy your Azure ML model as web service, you should be able to call it from anywhere. 将Azure ML模型部署为Web服务后,您应该可以从任何地方调用它。 It's a managed service, so you don't need your own servers on Azure to use it.
这是一项托管服务,因此您无需在Azure上拥有自己的服务器即可使用它。
The documentation item you mentioned applies to batch scoring service. 您提到的文档项目适用于批处理计分服务。 It reads in the input csv file from Azure blob on your storage account, scores it, and writes the result to another Azure blob on your storage account.
它从您的存储帐户上的Azure blob读取输入的csv文件,对其打分,然后将结果写入存储帐户上的另一个Azure blob。 So to use batch scoring you'd need an Azure storage account.
因此,要使用批处理计分,您需要一个Azure存储帐户。
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