local_webservice_deployment_config {azuremlsdk} | R Documentation |
Create a deployment config for deploying a local web service
Description
You can deploy a model locally for limited testing and troubleshooting. To do so, you will need to have Docker installed on your local machine.
If you are using an Azure Machine Learning Compute Instance for development, you can also deploy locally on your compute instance.
Usage
local_webservice_deployment_config(port = NULL)
Arguments
port |
An int of the local port on which to expose the service's HTTP endpoint. |
Value
The LocalWebserviceDeploymentConfiguration
object.
Examples
## Not run:
deployment_config <- local_webservice_deployment_config(port = 8890)
## End(Not run)
[Package azuremlsdk version 1.10.0 Index]