init(
    *,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    experiment: typing.Optional[str] = None,
    experiment_description: typing.Optional[str] = None,
    experiment_tensorboard: typing.Optional[
        typing.Union[
            str,
            google.cloud.aiplatform.tensorboard.tensorboard_resource.Tensorboard,
            bool,
        ]
    ] = None,
    staging_bucket: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
    encryption_spec_key_name: typing.Optional[str] = None,
    network: typing.Optional[str] = None,
    service_account: typing.Optional[str] = None,
    api_endpoint: typing.Optional[str] = None,
    api_key: typing.Optional[str] = None,
    api_transport: typing.Optional[str] = None,
    request_metadata: typing.Optional[typing.Sequence[typing.Tuple[str, str]]] = None
)

Updates common initialization parameters with provided options.

Parameters
Name	Description
`project`	`str` The default project to use when making API calls.
`location`	`str` The default location to use when making API calls. If not set defaults to us-central-1.
`experiment`	`str` Optional. The experiment name.
`experiment_description`	`str` Optional. The description of the experiment.
`experiment_tensorboard`	`Union[str, tensorboard_resource.Tensorboard, bool]` 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 `experiment_tensorboard` is provided and `experiment` is not, the provided `experiment_tensorboard` will be set as the global Tensorboard. Any subsequent calls to aiplatform.init() with `experiment` and without `experiment_tensorboard` will automatically assign the global Tensorboard to the `experiment`. If `experiment_tensorboard` is ommitted or set to `True` or `None` the global Tensorboard will be assigned to the `experiment`. If a global Tensorboard is not set, the default Tensorboard instance will be used, and created if it does not exist. To disable creating and using Tensorboard with `experiment`, set `experiment_tensorboard` to `False`. Any subsequent calls to aiplatform.init() should include this setting as well.
`staging_bucket`	`str` The default staging bucket to use to stage artifacts when making API calls. In the form gs://...
`credentials`	`google.auth.credentials.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[str]` Optional. The Cloud KMS resource identifier of the customer managed encryption key used to protect a resource. Has the form: `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`. The key needs to be in the same region as where the compute resource is created. If set, this resource and all sub-resources will be secured by this key.
`network`	`str` 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.
`service_account`	`str` Optional. The service account used to launch jobs and deploy models. Jobs that use service_account: BatchPredictionJob, CustomJob, PipelineJob, HyperparameterTuningJob, CustomTrainingJob, CustomPythonPackageTrainingJob, CustomContainerTrainingJob, ModelEvaluationJob.
`api_endpoint`	`str` Optional. The desired API endpoint, e.g., us-central1-aiplatform.googleapis.com
`api_key`	`str` Optional. The API key to use for service calls. NOTE: Not all services support API keys.
`api_transport`	`str` Optional. The transport method which is either 'grpc' or 'rest'. NOTE: "rest" transport functionality is currently in a beta state (preview).