libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker
Copyright(c) 2013-2021 Brendan Hay
LicenseMozilla Public License, v. 2.0.
MaintainerBrendan Hay <brendan.g.hay+amazonka@gmail.com>
Stabilityauto-generated
Portabilitynon-portable (GHC extensions)
Safe HaskellNone

Amazonka.SageMaker.Types.LabelingJobAlgorithmsConfig

Description

 
Synopsis

Documentation

data LabelingJobAlgorithmsConfig Source #

Provides configuration information for auto-labeling of your data objects. A LabelingJobAlgorithmsConfig object must be supplied in order to use auto-labeling.

See: newLabelingJobAlgorithmsConfig smart constructor.

Constructors

LabelingJobAlgorithmsConfig' 

Fields

  • labelingJobResourceConfig :: Maybe LabelingJobResourceConfig

    Provides configuration information for a labeling job.

  • initialActiveLearningModelArn :: Maybe Text

    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.

  • labelingJobAlgorithmSpecificationArn :: Text

    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

Instances

Instances details
Eq LabelingJobAlgorithmsConfig Source # 
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Read LabelingJobAlgorithmsConfig Source # 
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Show LabelingJobAlgorithmsConfig Source # 
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Generic LabelingJobAlgorithmsConfig Source # 
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Associated Types

type Rep LabelingJobAlgorithmsConfig :: Type -> Type #

NFData LabelingJobAlgorithmsConfig Source # 
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Hashable LabelingJobAlgorithmsConfig Source # 
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ToJSON LabelingJobAlgorithmsConfig Source # 
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FromJSON LabelingJobAlgorithmsConfig Source # 
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type Rep LabelingJobAlgorithmsConfig Source # 
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type Rep LabelingJobAlgorithmsConfig = D1 ('MetaData "LabelingJobAlgorithmsConfig" "Amazonka.SageMaker.Types.LabelingJobAlgorithmsConfig" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "LabelingJobAlgorithmsConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "labelingJobResourceConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe LabelingJobResourceConfig)) :*: (S1 ('MetaSel ('Just "initialActiveLearningModelArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "labelingJobAlgorithmSpecificationArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newLabelingJobAlgorithmsConfig Source #

Create a value of LabelingJobAlgorithmsConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:labelingJobResourceConfig:LabelingJobAlgorithmsConfig', labelingJobAlgorithmsConfig_labelingJobResourceConfig - Provides configuration information for a labeling job.

$sel:initialActiveLearningModelArn:LabelingJobAlgorithmsConfig', labelingJobAlgorithmsConfig_initialActiveLearningModelArn - 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.

$sel:labelingJobAlgorithmSpecificationArn:LabelingJobAlgorithmsConfig', labelingJobAlgorithmsConfig_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

labelingJobAlgorithmsConfig_initialActiveLearningModelArn :: Lens' LabelingJobAlgorithmsConfig (Maybe Text) Source #

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.

labelingJobAlgorithmsConfig_labelingJobAlgorithmSpecificationArn :: Lens' LabelingJobAlgorithmsConfig Text Source #

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