azuremlsdk: local_webservice_deployment_config – R documentation

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local_webservice_deployment_config

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)

azuremlsdk

Interface to the 'Azure Machine Learning' 'SDK'

v1.10.0

MIT + file LICENSE

Authors

Diondra Peck [cre, aut], Minna Xiao [aut], AzureML R SDK Team [ctb], Microsoft [cph, fnd], Google Inc. [cph] (Examples and Tutorials), The TensorFlow Authors [cph] (Examples and Tutorials), RStudio Inc. [cph] (Examples and Tutorials)

Initial release