| title | titleSuffix | description | services | ms.service | ms.subservice | ms.topic | ms.custom | author | ms.author | ms.date | ms.reviewer |
|---|---|---|---|---|---|---|---|---|---|---|---|
CLI (v2) model YAML schema |
Azure Machine Learning |
Reference documentation for the CLI (v2) model YAML schema. |
machine-learning |
machine-learning |
core |
reference |
cliv2, event-tier1-build-2022 |
Abeomor |
osomorog |
03/31/2022 |
nibaccam |
[!INCLUDE cli v2]
The source JSON schema can be found at https://azuremlschemas.azureedge.net/latest/model.schema.json.
[!INCLUDE schema note]
| Key | Type | Description | Allowed values |
|---|---|---|---|
$schema |
string | The YAML schema. | |
name |
string | Required. Name of the model. | |
version |
string | Version of the model. If omitted, Azure ML will autogenerate a version. | |
description |
string | Description of the model. | |
tags |
object | Dictionary of tags for the model. | |
path |
string | Either a local path to the model file(s), or the URI of a cloud path to the model file(s). This can point to either a file or a directory. | |
type |
string | Storage format type of the model. Applicable for no-code deployment scenarios. | custom_model, mlflow_model, triton_model |
flavors |
object | Flavors of the model. Each model storage format type may have one or more supported flavors. Applicable for no-code deployment scenarios. |
The az ml model command can be used for managing Azure Machine Learning models.
Examples are available in the examples GitHub repository. Several are shown below.
:::code language="yaml" source="~/azureml-examples-main/cli/assets/model/local-file.yml":::
:::code language="yaml" source="~/azureml-examples-main/cli/assets/model/local-mlflow.yml":::