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Model Class

  • Reference

Model for training and scoring.

Inheritance
azure.ai.ml.entities._assets._artifacts.artifact.Artifact
Model

Constructor

Model(*, name: str | None = None, version: str | None = None, type: str | None = None, path: str | PathLike | None = None, utc_time_created: str | None = None, flavors: Dict[str, Dict[str, Any]] | None = None, description: str | None = None, tags: Dict | None = None, properties: Dict | None = None, stage: str | None = None, **kwargs: Any)

Parameters

Name Description
name
Required
Optional[str]

The name of the model. Defaults to a random GUID.
version
Required
Optional[str]

The version of the model. Defaults to "1" if either no name or an unregistered name is provided. Otherwise, defaults to autoincrement from the last registered version of the model with that name.
type
Required
Optional[str]

The storage format for this entity, used for NCD (Novel Class Discovery). Accepted values are "custom_model", "mlflow_model", or "triton_model". Defaults to "custom_model".
utc_time_created
Required
Optional[str]

The date and time when the model was created, in UTC ISO 8601 format. (e.g. '2020-10-19 17:44:02.096572').
flavors
Required
Optional[dict[str, Any]]

The flavors in which the model can be interpreted. Defaults to None.
path
Required
Optional[str]

A remote uri or a local path pointing to a model. Defaults to None.
description
Required
Optional[str]

The description of the resource. Defaults to None
tags
Required
Optional[dict[str, str]]

Tag dictionary. Tags can be added, removed, and updated. Defaults to None.
properties
Required
Optional[dict[str, str]]

The asset property dictionary. Defaults to None.
stage
Required
Optional[str]

The stage of the resource. Defaults to None.
kwargs
Required
Optional[dict]

A dictionary of additional configuration parameters.

Keyword-Only Parameters

Name Description
name
Required
version
Required
type
Required
path
Required
utc_time_created
Required
flavors
Required
description
Required
tags
Required
properties
Required
stage
Required

Examples

Creating a Model object.


   from azure.ai.ml.entities import Model

   model = Model(
       name="model1",
       version="5",
       description="my first model in prod",
       path="models/very_important_model.pkl",
       properties={"prop1": "value1", "prop2": "value2"},
       type="mlflow_model",
       flavors={
           "sklearn": {"sklearn_version": "0.23.2"},
           "python_function": {"loader_module": "office.plrmodel", "python_version": 3.6},
       },
       stage="Production",
   )
   ml_client.models.create_or_update(model)

Methods

dump

Dump the asset content into a file in YAML format.

dump

Dump the asset content into a file in YAML format.

dump(dest: str | PathLike | IO, **kwargs: Any) -> None

Parameters

Name Description
dest
Required
Union[<xref:PathLike>, str, IO[AnyStr]]

The local path or file stream to write the YAML content to. If dest is a file path, a new file will be created. If dest is an open file, the file will be written to directly.

Exceptions

Type Description
FileExistsError

Raised if dest is a file path and the file already exists.
IOError

Raised if dest is an open file and the file is not writable.

Attributes

base_path

The base path of the resource.

Returns

Type Description
str

The base path of the resource.

creation_context

The creation context of the resource.

Returns

Type Description
Optional[SystemData]

The creation metadata for the resource.

id

The resource ID.

Returns

Type Description
Optional[str]

The global ID of the resource, an Azure Resource Manager (ARM) ID.

path

version

The asset version.

Returns

Type Description
str

The asset version.