CLI (v2) batch endpoint YAML schema
APPLIES TO: 
Azure CLI ml extension v2 (current)
The source JSON schema can be found at https://azuremlschemas.azureedge.net/latest/batchEndpoint.schema.json.
Note
The YAML syntax detailed in this document is based on the JSON schema for the latest version of the ML CLI v2 extension. This syntax is guaranteed only to work with the latest version of the ML CLI v2 extension. You can find the schemas for older extension versions at https://azuremlschemasprod.azureedge.net/.
YAML syntax
| Key | Type | Description | Allowed values | Default value |
|---|---|---|---|---|
$schema |
string | The YAML schema. If you use the Azure Machine Learning VS Code extension to author the YAML file, including $schema at the top of your file enables you to invoke schema and resource completions. |
||
name |
string | Required. Name of the endpoint. Needs to be unique at the Azure region level. | ||
description |
string | Description of the endpoint. | ||
tags |
object | Dictionary of tags for the endpoint. | ||
auth_mode |
string | The authentication method for the endpoint. Currently only Microsoft Entra token-based authentication is supported. | aad_token |
aad_token |
defaults |
object | Default settings for the endpoint. | ||
defaults.deployment_name |
string | Name of the deployment that will serve as the default deployment for the endpoint. |
Remarks
The az ml batch-endpoint commands can be used for managing Azure Machine Learning endpoints.
Examples
Examples are available in the examples GitHub repository. Several are shown below.
YAML: basic
$schema: https://azuremlschemas.azureedge.net/latest/batchEndpoint.schema.json
name: mnist-batch
description: A batch endpoint for scoring images from the MNIST dataset.
tags:
type: deep-learning