title | titleSuffix | description | services | ms.service | ms.subservice | ms.topic | ms.custom | author | ms.author | ms.date | ms.reviewer |
---|---|---|---|---|---|---|---|---|---|---|---|
CLI (v2) batch endpoint YAML schema |
Azure Machine Learning |
Reference documentation for the CLI (v2) batch endpoint YAML schema. |
machine-learning |
machine-learning |
core |
reference |
cliv2, event-tier1-build-2022 |
blackmist |
larryfr |
10/21/2021 |
laobri |
[!INCLUDE cli v2]
The source JSON schema can be found at https://azuremlschemas.azureedge.net/latest/batchEndpoint.schema.json.
[!INCLUDE schema note]
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 Azure Active Directory (Azure AD) 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. |
The az ml batch-endpoint
commands can be used for managing Azure Machine Learning endpoints.
Examples are available in the examples GitHub repository. Several are shown below.
:::code language="yaml" source="~/azureml-examples-main/cli/endpoints/batch/batch-endpoint.yml":::