Data Source schema for AWS::SageMaker::ModelBiasJobDefinition
id
(String) Uniquely identifies the resource.creation_time
(String) The time at which the job definition was created.endpoint_name
(String) The name of the endpoint used to run the monitoring job.job_definition_arn
(String) The Amazon Resource Name (ARN) of job definition.job_definition_name
(String) The name of the job definition.job_resources
(Attributes) Identifies the resources to deploy for a monitoring job. (see below for nested schema)model_bias_app_specification
(Attributes) Container image configuration object for the monitoring job. (see below for nested schema)model_bias_baseline_config
(Attributes) Baseline configuration used to validate that the data conforms to the specified constraints and statistics. (see below for nested schema)model_bias_job_input
(Attributes) The inputs for a monitoring job. (see below for nested schema)model_bias_job_output_config
(Attributes) The output configuration for monitoring jobs. (see below for nested schema)network_config
(Attributes) Networking options for a job, such as network traffic encryption between containers, whether to allow inbound and outbound network calls to and from containers, and the VPC subnets and security groups to use for VPC-enabled jobs. (see below for nested schema)role_arn
(String) The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.stopping_condition
(Attributes) Specifies a time limit for how long the monitoring job is allowed to run. (see below for nested schema)tags
(Attributes List) An array of key-value pairs to apply to this resource. (see below for nested schema)job_resources
Read-Only:
cluster_config
(Attributes) Configuration for the cluster used to run model monitoring jobs. (see below for nested schema)job_resources.cluster_config
Read-Only:
instance_count
(Number) The number of ML compute instances to use in the model monitoring job. For distributed processing jobs, specify a value greater than 1. The default value is 1.instance_type
(String) The ML compute instance type for the processing job.volume_kms_key_id
(String) The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the model monitoring job.volume_size_in_gb
(Number) The size of the ML storage volume, in gigabytes, that you want to provision. You must specify sufficient ML storage for your scenario.model_bias_app_specification
Read-Only:
config_uri
(String) The S3 URI to an analysis configuration fileenvironment
(Map of String) Sets the environment variables in the Docker containerimage_uri
(String) The container image to be run by the monitoring job.model_bias_baseline_config
Read-Only:
baselining_job_name
(String) The name of a processing jobconstraints_resource
(Attributes) The baseline constraints resource for a monitoring job. (see below for nested schema)model_bias_baseline_config.constraints_resource
Read-Only:
s3_uri
(String) The Amazon S3 URI for baseline constraint file in Amazon S3 that the current monitoring job should validated against.model_bias_job_input
Read-Only:
batch_transform_input
(Attributes) The batch transform input for a monitoring job. (see below for nested schema)endpoint_input
(Attributes) The endpoint for a monitoring job. (see below for nested schema)ground_truth_s3_input
(Attributes) Ground truth input provided in S3 (see below for nested schema)model_bias_job_input.batch_transform_input
Read-Only:
data_captured_destination_s3_uri
(String) A URI that identifies the Amazon S3 storage location where Batch Transform Job captures data.dataset_format
(Attributes) The dataset format of the data to monitor (see below for nested schema)end_time_offset
(String) Monitoring end time offset, e.g. PT0Hfeatures_attribute
(String) JSONpath to locate features in JSONlines datasetinference_attribute
(String) Index or JSONpath to locate predicted label(s)local_path
(String) Path to the filesystem where the endpoint data is available to the container.probability_attribute
(String) Index or JSONpath to locate probabilitiesprobability_threshold_attribute
(Number)s3_data_distribution_type
(String) Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defauts to FullyReplicateds3_input_mode
(String) Whether the Pipe or File is used as the input mode for transfering data for the monitoring job. Pipe mode is recommended for large datasets. File mode is useful for small files that fit in memory. Defaults to File.start_time_offset
(String) Monitoring start time offset, e.g. -PT1Hmodel_bias_job_input.batch_transform_input.dataset_format
Read-Only:
csv
(Attributes) The CSV format (see below for nested schema)json
(Attributes) The Json format (see below for nested schema)parquet
(Boolean) A flag indicate if the dataset format is Parquetmodel_bias_job_input.batch_transform_input.dataset_format.csv
Read-Only:
header
(Boolean) A boolean flag indicating if given CSV has headermodel_bias_job_input.batch_transform_input.dataset_format.json
Read-Only:
line
(Boolean) A boolean flag indicating if it is JSON line formatmodel_bias_job_input.endpoint_input
Read-Only:
end_time_offset
(String) Monitoring end time offset, e.g. PT0Hendpoint_name
(String) The name of the endpoint used to run the monitoring job.features_attribute
(String) JSONpath to locate features in JSONlines datasetinference_attribute
(String) Index or JSONpath to locate predicted label(s)local_path
(String) Path to the filesystem where the endpoint data is available to the container.probability_attribute
(String) Index or JSONpath to locate probabilitiesprobability_threshold_attribute
(Number)s3_data_distribution_type
(String) Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defauts to FullyReplicateds3_input_mode
(String) Whether the Pipe or File is used as the input mode for transfering data for the monitoring job. Pipe mode is recommended for large datasets. File mode is useful for small files that fit in memory. Defaults to File.start_time_offset
(String) Monitoring start time offset, e.g. -PT1Hmodel_bias_job_input.ground_truth_s3_input
Read-Only:
s3_uri
(String) A URI that identifies the Amazon S3 storage location where Amazon SageMaker saves the results of a monitoring job.model_bias_job_output_config
Read-Only:
kms_key_id
(String) The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt the model artifacts at rest using Amazon S3 server-side encryption.monitoring_outputs
(Attributes List) Monitoring outputs for monitoring jobs. This is where the output of the periodic monitoring jobs is uploaded. (see below for nested schema)model_bias_job_output_config.monitoring_outputs
Read-Only:
s3_output
(Attributes) Information about where and how to store the results of a monitoring job. (see below for nested schema)model_bias_job_output_config.monitoring_outputs.s3_output
Read-Only:
local_path
(String) The local path to the Amazon S3 storage location where Amazon SageMaker saves the results of a monitoring job. LocalPath is an absolute path for the output data.s3_upload_mode
(String) Whether to upload the results of the monitoring job continuously or after the job completes.s3_uri
(String) A URI that identifies the Amazon S3 storage location where Amazon SageMaker saves the results of a monitoring job.network_config
Read-Only:
enable_inter_container_traffic_encryption
(Boolean) Whether to encrypt all communications between distributed processing jobs. Choose True to encrypt communications. Encryption provides greater security for distributed processing jobs, but the processing might take longer.enable_network_isolation
(Boolean) Whether to allow inbound and outbound network calls to and from the containers used for the processing job.vpc_config
(Attributes) Specifies a VPC that your training jobs and hosted models have access to. Control access to and from your training and model containers by configuring the VPC. (see below for nested schema)network_config.vpc_config
Read-Only:
security_group_ids
(List of String) The VPC security group IDs, in the form sg-xxxxxxxx. Specify the security groups for the VPC that is specified in the Subnets field.subnets
(List of String) The ID of the subnets in the VPC to which you want to connect to your monitoring jobs.stopping_condition
Read-Only:
max_runtime_in_seconds
(Number) The maximum runtime allowed in seconds.tags
Read-Only:
key
(String) The key name of the tag. You can specify a value that is 1 to 127 Unicode characters in length and cannot be prefixed with aws:. You can use any of the following characters: the set of Unicode letters, digits, whitespace, _, ., /, =, +, and -.value
(String) The value for the tag. You can specify a value that is 1 to 255 Unicode characters in length and cannot be prefixed with aws:. You can use any of the following characters: the set of Unicode letters, digits, whitespace, _, ., /, =, +, and -.