API documentation for vertexai package.
Packages Functions
init
init(
*,
project: Optional[str] = None,
location: Optional[str] = None,
experiment: Optional[str] = None,
experiment_description: Optional[str] = None,
experiment_tensorboard: Optional[
Union[google.cloud.aiplatform.tensorboard.tensorboard_resource.Tensorboard, str]
] = None,
staging_bucket: Optional[str] = None,
credentials: Optional[google.auth.credentials.Credentials] = None,
encryption_spec_key_name: Optional[str] = None,
network: Optional[str] = None
)Updates common initialization parameters with provided options.
| Parameters | |
|---|---|
| Name | Description |
project |
The default project to use when making API calls. |
location |
The default location to use when making API calls. If not set defaults to us-central-1. |
experiment |
Optional. The experiment name. |
experiment_description |
Optional. The description of the experiment. |
experiment_tensorboard |
Optional. The Vertex AI TensorBoard instance, Tensorboard resource name, or Tensorboard resource ID to use as a backing Tensorboard for the provided experiment. Example tensorboard resource name format: "projects/123/locations/us-central1/tensorboards/456" If |
staging_bucket |
The default staging bucket to use to stage artifacts when making API calls. In the form gs://... |
credentials |
The default custom credentials to use when making API calls. If not provided credentials will be ascertained from the environment. |
encryption_spec_key_name |
Optional. The Cloud KMS resource identifier of the customer managed encryption key used to protect a resource. Has the form: |
network |
Optional. The full name of the Compute Engine network to which jobs and resources should be peered. E.g. "projects/12345/global/networks/myVPC". Private services access must already be configured for the network. If specified, all eligible jobs and resources created will be peered with this VPC. |