Class TuningJob (1.95.1)

TuningJob(tuning_job_name: str)

Represents a TuningJob that runs with Google owned models.

Properties

Time this resource was created.

Display name of this resource.

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.

The underlying resource proto representation.

User-defined labels containing metadata about this resource.

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

Name of this resource.

Full qualified resource name.

Time this resource was last updated.

TuningJob(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.

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() -> vertexai.tuning._tuning.TuningJob

Refreshed the tuning job from the service.

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

Returns the resource proto as a dictionary.