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API documentation for vertexai
package.
Packages
language_models
API documentation for language_models
package.
preview
API documentation for preview
package.
vision_models
API documentation for vision_models
package.
Packages Functions
init
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
)
Updates common initialization parameters with provided options.
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 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 deos 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
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: 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
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
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
Optional. The desired API endpoint, e.g., us-central1-aiplatform.googleapis.com
