Contains functionality for deploying machine learning models as web service endpoints on Azure Container Instances.
Azure Container Instances (ACI) is recommended for scenarios that can operate in isolated containers, including simple applications, task automation, and build jobs. For more information about when to use ACI, see Deploy a model to Azure Container Instances.
Represents deployment configuration information for a service deployed on Azure Container Instances.
Create an AciServiceDeploymentConfiguration object using the
Represents a machine learning model deployed as a web service endpoint on Azure Container Instances.
A deployed service is created from a model, script, and associated files. The resulting web service is a load-balanced, HTTP endpoint with a REST API. You can send data to this API and receive the prediction returned by the model.
For more information, see Deploy a model to Azure Container Instances.
Defines the resource requirements for a container used by the Webservice.
To specify ContainerResourceRequirements values, you will typically use the
Defines the encryption properties for a container used by the Webservice.
To specify EncryptionProperties values, you will typically use the
Defines the Virtual network configuration for a container used by the Webservice.
To specify VnetConfiguration values, you will typically use the