部署 Azure ML 设计器 Web 服务模型

Question

Im trying to run R code to detect outliers in datasets. Im trying to publish as a webservice so it can be used to pre process data.

In Azure ML Designer,I have a Execute R script which contains my model.

When I try to publish as a web service I get the error "Cannot create inference because there is no model on this pipeline". I see python has a Create Python module.

Can I use an Execute R Script to create a webservice with my model?

Im good at R and still learning Azure and would really appreciate some advice on. the above.

Answer 1

Could you please follow the steps below to deploy the web service in Designer:

Manually drag "web service input" & "web service output" to the graph. 1st Note: Designer currently needs graph contains web service input & web service output both, then support realtimeEndpoint deploy.

2nd Note: If you found your graph contains "web service input" & "web service output", but no "Deploy" button, and only see below three buttons. => please follow below highlights to Clone this graph as a new pipeline, and retry.