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CustomJobSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)Represents the spec of a CustomJob. .. attribute:: worker_pool_specs
Required. The spec of the worker pools including machine type and Docker image.
:type: Sequence[google.cloud.aiplatform_v1.types.WorkerPoolSpec]
Attributes
| Name | Description |
| scheduling |
google.cloud.aiplatform_v1.types.Scheduling
Scheduling options for a CustomJob. |
| service_account |
str
Specifies the service account for workload run-as account. Users submitting jobs must have act-as permission on this run-as account. If unspecified, the AI Platform Custom Code Service Agent for the CustomJob's project is used. |
| network |
str
The full name of the Compute Engine `network `__ to which the Job should be peered. For example, ``projects/12345/global/networks/myVPC``. `Format `__ is of the form ``projects/{project}/global/networks/{network}``. Where {project} is a project number, as in ``12345``, and {network} is a network name. Private services access must already be configured for the network. If left unspecified, the job is not peered with any network. |
| base_output_directory |
google.cloud.aiplatform_v1.types.GcsDestination
The Cloud Storage location to store the output of this CustomJob or HyperparameterTuningJob. For HyperparameterTuningJob, the baseOutputDirectory of each child CustomJob backing a Trial is set to a subdirectory of name id under its parent HyperparameterTuningJob's baseOutputDirectory. The following AI Platform environment variables will be passed to containers or python modules when this field is set: For CustomJob: - AIP_MODEL_DIR = `` |