SageMaker Model Bias Job Definition

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An AWS SageMaker Model Bias Job Definition is a resource that specifies the configuration for running bias detection jobs on machine learning models. It defines details such as the dataset used, the model to evaluate, bias metrics, and output locations. This helps monitor and detect potential bias in models to ensure fairness and compliance.

aws.sagemaker_model_bias_job_definition

Fields

ID	Type	Data Type	Description
_key	core	string
account_id	core	string
creation_time	core	timestamp	The time at which the model bias job was created.
job_definition_arn	core	string	The Amazon Resource Name (ARN) of the model bias job.
job_definition_name	core	string	The name of the bias job definition. The name must be unique within an Amazon Web Services Region in the Amazon Web Services account.
job_resources	core	json	Identifies the resources to deploy for a monitoring job.
model_bias_app_specification	core	json	Configures the model bias job to run a specified Docker container image.
model_bias_baseline_config	core	json	The baseline configuration for a model bias job.
model_bias_job_input	core	json	Inputs for the model bias job.
model_bias_job_output_config	core	json	The output configuration for monitoring jobs.
network_config	core	json	Networking options for a model bias job.
role_arn	core	string	The Amazon Resource Name (ARN) of the IAM role that has read permission to the input data location and write permission to the output data location in Amazon S3.
stopping_condition	core	json	A time limit for how long the monitoring job is allowed to run before stopping.
tags	core	hstore