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CustomJobSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)Represents the spec of a CustomJob.
Attributes
| Name | Description |
| worker_pool_specs |
Sequence[`.custom_job.WorkerPoolSpec`]
Required. The spec of the worker pools including machine type and Docker image. |
| scheduling |
`.custom_job.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. |
| 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](https://cloud.google.com/compute/docs/reference/rest/v1/networks/insert) is of the form projects/{project}/global/networks/{network}. Where {project} is a project number, as in '12345', and {network} is 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 |
`.io.GcsDestination`
The Google Cloud Storage location to store the output of this CustomJob or HyperparameterTuningJob. For HyperparameterTuningJob, ``base_output_directory`` of each child CustomJob backing a Trial is set to a subdirectory of name ``id`` under parent HyperparameterTuningJob's ``base_output_directory``. Following AI Platform environment variables will be passed to containers or python modules when this field is set: For CustomJob: - AIP_MODEL_DIR = `` |