azuremlsdk: update_local_webservice – R documentation

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update_local_webservice

Update a local web service

Description

Update a local web service with the provided properties. You can update the web service to use a new model, a new entry script, or new dependencies that can be specified in an inference configuration.

Values left as NULL will remain unchanged in the service.

Usage

update_local_webservice(
  webservice,
  models = NULL,
  deployment_config = NULL,
  wait = FALSE,
  inference_config = NULL
)

Arguments

`webservice`	The `LocalWebservice` object.
`models`	A list of `Model` objects to package into the updated service.
`deployment_config`	A `LocalWebserviceDeploymentConfiguration` to apply to the web service.
`wait`	If `TRUE`, wait for the service's container to reach a healthy state. Defaults to `FALSE`.
`inference_config`	An `InferenceConfig` object.

Value

None

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