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RuntimeConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)
The runtime config of a PipelineJob. .. attribute:: parameters
The runtime parameters of the PipelineJob. The parameters will be passed into PipelineJob.pipeline_spec to replace the placeholders at runtime.
:type: Sequence[google.cloud.aiplatform_v1beta1.types.PipelineJob.RuntimeConfig.ParametersEntry]
Attribute
Name | Description |
gcs_output_directory |
str
Required. A path in a Cloud Storage bucket, which will be treated as the root output directory of the pipeline. It is used by the system to generate the paths of output artifacts. The artifact paths are generated with a sub-path pattern ``{job_id}/{task_id}/{output_key}`` under the specified output directory. The service account specified in this pipeline must have the ``storage.objects.get`` and ``storage.objects.create`` permissions for this bucket. |
Inheritance
builtins.object > proto.message.Message > RuntimeConfigClasses
ParametersEntry
ParametersEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)
The abstract base class for a message.
Name | Description |
kwargs |
dict
Keys and values corresponding to the fields of the message. |
mapping |
Union[dict, `.Message`]
A dictionary or message to be used to determine the values for this message. |
ignore_unknown_fields |
Optional(bool)
If True, do not raise errors for unknown fields. Only applied if |