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CreateProcessingJobRequest

Source code in docs_src/capo_sagemaker/types/create_processing_job_request.py
class CreateProcessingJobRequest(TypedDict, closed=True):
    processing_inputs: NotRequired[
        "capo_sagemaker.types.processing_inputs.ProcessingInputs"
    ]
    """<p>An array of inputs configuring the data to download into the processing container.</p>"""
    processing_output_config: NotRequired[
        "capo_sagemaker.types.processing_output_config.ProcessingOutputConfig"
    ]
    """<p>Output configuration for the processing job.</p>"""
    processing_job_name: NotRequired[
        "capo_sagemaker.types.processing_job_name.ProcessingJobName"
    ]
    """<p> The name of the processing job. The name must be unique within an Amazon Web Services Region in the Amazon Web Services account.</p>"""
    processing_resources: NotRequired[
        "capo_sagemaker.types.processing_resources.ProcessingResources"
    ]
    """<p>Identifies the resources, ML compute instances, and ML storage volumes to deploy for a processing job. In distributed training, you specify more than one instance.</p>"""
    stopping_condition: NotRequired[
        "capo_sagemaker.types.processing_stopping_condition.ProcessingStoppingCondition"
    ]
    """<p>The time limit for how long the processing job is allowed to run.</p>"""
    app_specification: NotRequired[
        "capo_sagemaker.types.app_specification.AppSpecification"
    ]
    """<p>Configures the processing job to run a specified Docker container image.</p>"""
    environment: NotRequired[
        "capo_sagemaker.types.processing_environment_map.ProcessingEnvironmentMap"
    ]
    """<p>The environment variables to set in the Docker container. Up to 100 key and values entries in the map are supported.</p> <important> <p>Do not include any security-sensitive information including account access IDs, secrets, or tokens in any environment fields. As part of the shared responsibility model, you are responsible for any potential exposure, unauthorized access, or compromise of your sensitive data if caused by security-sensitive information included in the request environment variable or plain text fields.</p> </important>"""
    network_config: NotRequired["capo_sagemaker.types.network_config.NetworkConfig"]
    """<p>Networking options for a processing job, such as whether to allow inbound and outbound network calls to and from processing containers, and the VPC subnets and security groups to use for VPC-enabled processing jobs.</p>"""
    role_arn: NotRequired["capo_sagemaker.types.role_arn.RoleArn"]
    """<p>The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.</p>"""
    tags: NotRequired["capo_sagemaker.types.tag_list.TagList"]
    """<p>(Optional) An array of key-value pairs. For more information, see <a href="https://docs.aws.amazon.com/awsaccountbilling/latest/aboutv2/cost-alloc-tags.html#allocation-whatURL">Using Cost Allocation Tags</a> in the <i>Amazon Web Services Billing and Cost Management User Guide</i>.</p> <important> <p>Do not include any security-sensitive information including account access IDs, secrets, or tokens in any tags. As part of the shared responsibility model, you are responsible for any potential exposure, unauthorized access, or compromise of your sensitive data if caused by security-sensitive information included in the request tag variable or plain text fields.</p> </important>"""
    experiment_config: NotRequired[
        "capo_sagemaker.types.experiment_config.ExperimentConfig"
    ]

app_specification instance-attribute

app_specification: NotRequired[AppSpecification]

Configures the processing job to run a specified Docker container image.

environment instance-attribute

environment: NotRequired[ProcessingEnvironmentMap]

The environment variables to set in the Docker container. Up to 100 key and values entries in the map are supported.

Do not include any security-sensitive information including account access IDs, secrets, or tokens in any environment fields. As part of the shared responsibility model, you are responsible for any potential exposure, unauthorized access, or compromise of your sensitive data if caused by security-sensitive information included in the request environment variable or plain text fields.

experiment_config instance-attribute

experiment_config: NotRequired[ExperimentConfig]

network_config instance-attribute

network_config: NotRequired[NetworkConfig]

Networking options for a processing job, such as whether to allow inbound and outbound network calls to and from processing containers, and the VPC subnets and security groups to use for VPC-enabled processing jobs.

processing_inputs instance-attribute

processing_inputs: NotRequired[ProcessingInputs]

An array of inputs configuring the data to download into the processing container.

processing_job_name instance-attribute

processing_job_name: NotRequired[ProcessingJobName]

The name of the processing job. The name must be unique within an Amazon Web Services Region in the Amazon Web Services account.

processing_output_config instance-attribute

processing_output_config: NotRequired[ProcessingOutputConfig]

Output configuration for the processing job.

processing_resources instance-attribute

processing_resources: NotRequired[ProcessingResources]

Identifies the resources, ML compute instances, and ML storage volumes to deploy for a processing job. In distributed training, you specify more than one instance.

role_arn instance-attribute

role_arn: NotRequired[RoleArn]

The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.

stopping_condition instance-attribute

stopping_condition: NotRequired[ProcessingStoppingCondition]

The time limit for how long the processing job is allowed to run.

tags instance-attribute

tags: NotRequired[TagList]

(Optional) An array of key-value pairs. For more information, see Using Cost Allocation Tags in the Amazon Web Services Billing and Cost Management User Guide.

Do not include any security-sensitive information including account access IDs, secrets, or tokens in any tags. As part of the shared responsibility model, you are responsible for any potential exposure, unauthorized access, or compromise of your sensitive data if caused by security-sensitive information included in the request tag variable or plain text fields.