TuningJob(tuning_job_name: str)Represents a TuningJob that runs with Google owned models.
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
TuningJob
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
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.TuningJobRefreshed the tuning job from the service.
to_dict
to_dict() -> typing.Dict[str, typing.Any]Returns the resource proto as a dictionary.