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paws.machine.learning (version 0.9.0)

sagemaker_create_model_bias_job_definition: Creates the definition for a model bias job

Description

Creates the definition for a model bias job.

See https://www.paws-r-sdk.com/docs/sagemaker_create_model_bias_job_definition/ for full documentation.

Usage

sagemaker_create_model_bias_job_definition(
  JobDefinitionName,
  ModelBiasBaselineConfig = NULL,
  ModelBiasAppSpecification,
  ModelBiasJobInput,
  ModelBiasJobOutputConfig,
  JobResources,
  NetworkConfig = NULL,
  RoleArn,
  StoppingCondition = NULL,
  Tags = NULL
)

Arguments

JobDefinitionName

[required] The name of the bias job definition. The name must be unique within an Amazon Web Services Region in the Amazon Web Services account.

ModelBiasBaselineConfig

The baseline configuration for a model bias job.

ModelBiasAppSpecification

[required] Configures the model bias job to run a specified Docker container image.

ModelBiasJobInput

[required] Inputs for the model bias job.

ModelBiasJobOutputConfig

[required]

JobResources

[required]

NetworkConfig

Networking options for a model bias job.

RoleArn

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

StoppingCondition

Tags

(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.