DescribeLabelingJobResponse
¶
Source code in docs_src/capo_sagemaker/types/describe_labeling_job_response.py
creation_time
instance-attribute
¶
creation_time: NotRequired[Timestamp]
The date and time that the labeling job was created.
failure_reason
instance-attribute
¶
failure_reason: NotRequired[FailureReason]
If the job failed, the reason that it failed.
human_task_config
instance-attribute
¶
human_task_config: NotRequired[HumanTaskConfig]
Configuration information required for human workers to complete a labeling task.
input_config
instance-attribute
¶
input_config: NotRequired[LabelingJobInputConfig]
Input configuration information for the labeling job, such as the Amazon S3 location of the data objects and the location of the manifest file that describes the data objects.
job_reference_code
instance-attribute
¶
job_reference_code: NotRequired[JobReferenceCode]
A unique identifier for work done as part of a labeling job.
label_attribute_name
instance-attribute
¶
label_attribute_name: NotRequired[LabelAttributeName]
The attribute used as the label in the output manifest file.
label_category_config_s3_uri
instance-attribute
¶
label_category_config_s3_uri: NotRequired[S3Uri]
The S3 location of the JSON file that defines the categories used to label data objects. Please note the following label-category limits:
-
Semantic segmentation labeling jobs using automated labeling: 20 labels
-
Box bounding labeling jobs (all): 10 labels
The file is a JSON structure in the following format:
{
"document-version": "2018-11-28"
"labels": [
{
"label": "label 1"
},
{
"label": "label 2"
},
...
{
"label": "label n"
}
]
}
label_counters
instance-attribute
¶
label_counters: NotRequired[LabelCounters]
Provides a breakdown of the number of data objects labeled by humans, the number of objects labeled by machine, the number of objects than couldn't be labeled, and the total number of objects labeled.
labeling_job_algorithms_config
instance-attribute
¶
labeling_job_algorithms_config: NotRequired[LabelingJobAlgorithmsConfig]
Configuration information for automated data labeling.
labeling_job_arn
instance-attribute
¶
labeling_job_arn: NotRequired[LabelingJobArn]
The Amazon Resource Name (ARN) of the labeling job.
labeling_job_name
instance-attribute
¶
labeling_job_name: NotRequired[LabelingJobName]
The name assigned to the labeling job when it was created.
labeling_job_output
instance-attribute
¶
labeling_job_output: NotRequired[LabelingJobOutput]
The location of the output produced by the labeling job.
labeling_job_status
instance-attribute
¶
labeling_job_status: NotRequired[LabelingJobStatus]
The processing status of the labeling job.
last_modified_time
instance-attribute
¶
last_modified_time: NotRequired[Timestamp]
The date and time that the labeling job was last updated.
output_config
instance-attribute
¶
output_config: NotRequired[LabelingJobOutputConfig]
The location of the job's output data and the Amazon Web Services Key Management Service key ID for the key used to encrypt the output data, if any.
role_arn
instance-attribute
¶
role_arn: NotRequired[RoleArn]
The Amazon Resource Name (ARN) that SageMaker assumes to perform tasks on your behalf during data labeling.
stopping_conditions
instance-attribute
¶
stopping_conditions: NotRequired[LabelingJobStoppingConditions]
A set of conditions for stopping a labeling job. If any of the conditions are met, the job is automatically stopped.
tags
instance-attribute
¶
tags: NotRequired[TagList]
An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.