Image Class
Defines the abstract parent class for Azure Machine Learning Images.
This class is DEPRECATED. Use the Environment class instead.
- Inheritance
-
Image
Constructor
Image(workspace, name=None, id=None, tags=None, properties=None, version=None)Parameters
- workspace
- Workspace
The Workspace object containing the Image to retrieve.
- name
- str
The name of the Image to retrieve. Will return the latest version of the Image, if it exists.
- id
- str
The specific ID of the Image to retrieve. (ID is "<name>:<version>")
- tags
- list
Will filter Image results based on the provided list, by either 'key' or '[key, value]'. Ex. ['key', ['key2', 'key2 value']]
- properties
- list
Will filter Image results based on the provided list, by either 'key' or '[key, value]'. Ex. ['key', ['key2', 'key2 value']]
- version
- str
When version and name are both specified, will return the specific version of the Image.
Remarks
The Image constructor retrieves a cloud representation of an Image object associated with the provided workspace. It returns an instance of a child class corresponding to the specific type of the retrieved Image object.
An Image object is used to deploy a user's Model as a Webservice. The Image object typically contains a Model, an execution script, and any dependencies needed for Model deployment. The Image class has multiple subclasses such as ContainerImage for Docker Images, and Images like FPGA.
See the ContainerImage class for an example of a class that inherits from the Image class.
Images are typically used in workflows that require using an image. For most workflows, you should instead
use the Environment class to define your image. Then you can use the Environment object
with the Model deploy() method to deploy the model as a web service.
You can also use the Model package() method to create an image that can be downloaded to your local
Docker install as an image or as a Dockerfile.
See the following link for an overview on deploying models in Azure: https://aka.ms/azureml-how-deploy.
Methods
| add_properties |
Add properties to the image. |
| add_tags |
Add tags to the image. |
| create |
Create an image in the provided workspace. |
| delete |
Delete an image from its corresponding workspace. |
| deserialize |
Convert a json object into a Image object. |
| image_configuration |
Abstract method for creating an image configuration object. |
| list |
List the Images associated with the corresponding workspace. Can be filtered with specific parameters. |
| remove_tags |
Remove tags from the image. |
| serialize |
Convert this Image object into a JSON serialized dictionary. |
| update |
Update the image. |
| update_creation_state |
Refresh the current state of the in-memory object. Perform an in-place update of the properties of the object based on the current state of the corresponding cloud object. Primarily useful for manual polling of creation state. |
| wait_for_creation |
Wait for the image to finish creating. Wait for image creation to reach a terminal state. Will throw a WebserviceException if it reaches a non-successful terminal state. |
add_properties
Add properties to the image.
add_properties(properties)Parameters
add_tags
create
Create an image in the provided workspace.
create(workspace, name, models, image_config)Parameters
- workspace
- <xref:workspace: azureml.core.workspace.Workspace>
The workspace to associate with this image.
- name
- str
The name to associate with this image.
- image_config
- ImageConfig
The image config object to use to configure this image.
Returns
The created Image object.
Return type
delete
Delete an image from its corresponding workspace.
delete()Remarks
This method fails if the image has been deployed to a live webservice.
deserialize
Convert a json object into a Image object.
deserialize(workspace, image_payload)Parameters
- cls
Indicates class method.
- workspace
- Workspace
The workspace object the Image is registered under.
- image_payload
- dict
A JSON object to convert to a Image object.
Returns
The Image representation of the provided JSON object.
Return type
Remarks
This method fails if the provided workspace is not the workspace the image is registered under.
image_configuration
Abstract method for creating an image configuration object.
image_configuration()list
List the Images associated with the corresponding workspace. Can be filtered with specific parameters.
list(workspace, image_name=None, model_name=None, model_id=None, tags=None, properties=None)Parameters
- workspace
- Workspace
The Workspace object to list the Images in.
- image_name
- str
Filter list to only include Images deployed with the specific image name.
- model_name
- str
Filter list to only include Images deployed with the specific model name.
- model_id
- str
Filter list to only include Images deployed with the specific model ID.
- tags
- list
Will filter based on the provided list, by either 'key' or '[key, value]'. Ex. ['key', ['key2', 'key2 value']]
- properties
- list
Will filter based on the provided list, by either 'key' or '[key, value]'. Ex. ['key', ['key2', 'key2 value']]
Returns
A filtered list of Images in the provided workspace.
Return type
remove_tags
Remove tags from the image.
remove_tags(tags)Parameters
serialize
Convert this Image object into a JSON serialized dictionary.
serialize()Returns
The JSON representation of this Image object.
Return type
update
Update the image.
update(tags)Parameters
update_creation_state
Refresh the current state of the in-memory object.
Perform an in-place update of the properties of the object based on the current state of the corresponding cloud object. Primarily useful for manual polling of creation state.
update_creation_state()wait_for_creation
Wait for the image to finish creating.
Wait for image creation to reach a terminal state. Will throw a WebserviceException if it reaches a non-successful terminal state.
wait_for_creation(show_output=False)Parameters
- show_output
- bool
Boolean option to print more verbose output. Defaults to False.