Class SupervisedTuningJob (1.75.0)

SupervisedTuningJob(tuning_job_name: str)

Initializes class with project, location, and api_client.

Parameters

Name Description
project str

Project of the resource noun.

location str

The location of the resource noun.

credentials google.auth.credentials.Credentials

Optional custom credentials to use when accessing interacting with resource noun.

resource_name str

A fully-qualified resource name or ID.

Properties

create_time

Time this resource was created.

display_name

Display name of this resource.

encryption_spec

Customer-managed encryption key options for this Vertex AI resource.

If this is set, then all resources created by this Vertex AI resource will be encrypted with the provided encryption key.

gca_resource

The underlying resource proto representation.

labels

User-defined labels containing metadata about this resource.

Read more about labels at https://goo.gl/xmQnxf

name

Name of this resource.

resource_name

Full qualified resource name.

update_time

Time this resource was last updated.

Methods

list

list(
    filter: typing.Optional[str] = None,
) -> typing.List[vertexai.tuning._tuning.TuningJob]

Lists TuningJobs.

Parameter
Name Description
filter typing.Optional[str]

The standard list filter.

refresh

refresh() -> vertexai.tuning._tuning.TuningJob

Refreshed the tuning job from the service.

to_dict

to_dict() -> typing.Dict[str, typing.Any]

Returns the resource proto as a dictionary.