-
Notifications
You must be signed in to change notification settings - Fork 168
components register_model
github-actions[bot] edited this page Jun 17, 2025
·
24 revisions
Register a model to a workspace or a registry. The component works on compute with MSI attached.
Version: 0.0.21
Preview
View in Studio: https://ml.azure.com/registries/azureml/components/register_model/version/0.0.21
| Name | Description | Type | Default | Optional | Enum |
|---|---|---|---|---|---|
| model_name | Model name to use in the registration. If name already exists, the version will be auto incremented. Model name must be alphanumeric and can contain dashes/hyphens | string | True | ||
| model_version | Model version in workspace/registry. If the same model name and version exists, the version will be auto incremented. Model version must be a numeric string | string | True | ||
| model_type | Model type | string | mlflow_model | True | ['custom_model', 'mlflow_model'] |
| model_description | Description of the model that will be shown in AzureML registry or workspace | string | True | ||
| registry_name | Name of the AzureML asset registry where the model will be registered. Model will be registered in a workspace if this is unspecified | string | True | ||
| model_path | Path to the model directory | uri_folder | False | ||
| model_download_metadata | A JSON file which contains information related to model download. | uri_file | True | ||
| model_metadata | JSON/YAML file that contains model metadata confirming to Model V2 contract | uri_file | True |
| Name | Description | Type |
|---|---|---|
| registration_details_folder | Folder containing model registration details in a JSON file named model_registration_details.json | uri_folder |
azureml://registries/azureml/environments/python-sdk-v2/versions/31