Package aiplatform (0.7.1)

Version 0.7.1

• 1.75.0 (latest)
• 1.74.0
• 1.73.0
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• 1.71.1
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• 1.54.1
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• 1.0.1
• 0.9.0
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• 0.7.1
• 0.6.0
• 0.5.1
• 0.4.0
• 0.3.1

API documentation for aiplatform package.

Classes

AutoMLImageTrainingJob

Constructs a AutoML Image Training Job.

AutoMLTabularTrainingJob

Constructs a AutoML Tabular Training Job.

AutoMLTextTrainingJob

Constructs a AutoML Text Training Job.

AutoMLVideoTrainingJob

Constructs a AutoML Video Training Job.

BatchPredictionJob

Retrieves a BatchPredictionJob resource and instantiates its representation.

CustomContainerTrainingJob

Class to launch a Custom Training Job in AI Platform using a Container.

CustomPythonPackageTrainingJob

Class to launch a Custom Training Job in AI Platform using a Python Package.

Takes a training implementation as a python package and executes that package in Cloud AI Platform Training.

CustomTrainingJob

Class to launch a Custom Training Job in AI Platform using a script.

Takes a training implementation as a python script and executes that script in Cloud AI Platform Training.

Endpoint

Retrieves an endpoint resource.

ImageDataset

Managed image dataset resource for AI Platform

Model

Retrieves the model resource and instantiates its representation.

TabularDataset

Managed tabular dataset resource for AI Platform

TextDataset

Managed text dataset resource for AI Platform

VideoDataset

Managed video dataset resource for AI Platform

Packages Functions

init

init(
    *,
    project: Optional[str] = None,
    location: Optional[str] = None,
    experiment: Optional[str] = None,
    staging_bucket: Optional[str] = None,
    credentials: Optional[google.auth.credentials.Credentials] = None,
    encryption_spec_key_name: Optional[str] = None
)

Updates common initalization 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	The experiment to assign
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 crendentials 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.