LabelingJobAlgorithmsConfig
¶
Used by
-
AsyncSageMakerClient Operationscreate_labeling_job -
SageMakerClient Operationscreate_labeling_job
Source code in docs_src/capo_sagemaker/types/labeling_job_algorithms_config.py
initial_active_learning_model_arn
instance-attribute
¶
initial_active_learning_model_arn: NotRequired[ModelArn]
At the end of an auto-label job Ground Truth sends the Amazon Resource Name (ARN) of the final model used for auto-labeling. You can use this model as the starting point for subsequent similar jobs by providing the ARN of the model here.
labeling_job_algorithm_specification_arn
instance-attribute
¶
labeling_job_algorithm_specification_arn: NotRequired[
LabelingJobAlgorithmSpecificationArn
]
Specifies the Amazon Resource Name (ARN) of the algorithm used for auto-labeling. You must select one of the following ARNs:
-
Image classification
arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/image-classification -
Text classification
arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/text-classification -
Object detection
arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/object-detection -
Semantic Segmentation
arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/semantic-segmentation
labeling_job_resource_config
instance-attribute
¶
labeling_job_resource_config: NotRequired[LabelingJobResourceConfig]
Provides configuration information for a labeling job.