Copyright	(c) 2013-2021 Brendan Hay
License	Mozilla Public License, v. 2.0.
Maintainer	Brendan Hay <brendan.g.hay+amazonka@gmail.com>
Stability	auto-generated
Portability	non-portable (GHC extensions)
Safe Haskell	None

Amazonka.SageMaker.Types.LabelingJobAlgorithmsConfig

Description

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 #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobAlgorithmsConfig Methods (==) :: LabelingJobAlgorithmsConfig -> LabelingJobAlgorithmsConfig -> Bool # (/=) :: LabelingJobAlgorithmsConfig -> LabelingJobAlgorithmsConfig -> Bool #
Read LabelingJobAlgorithmsConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobAlgorithmsConfig Methods readsPrec :: Int -> ReadS LabelingJobAlgorithmsConfig # readList :: ReadS [LabelingJobAlgorithmsConfig] # readPrec :: ReadPrec LabelingJobAlgorithmsConfig # readListPrec :: ReadPrec [LabelingJobAlgorithmsConfig] #
Show LabelingJobAlgorithmsConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobAlgorithmsConfig Methods showsPrec :: Int -> LabelingJobAlgorithmsConfig -> ShowS # show :: LabelingJobAlgorithmsConfig -> String # showList :: [LabelingJobAlgorithmsConfig] -> ShowS #
Generic LabelingJobAlgorithmsConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobAlgorithmsConfig Associated Types type Rep LabelingJobAlgorithmsConfig :: Type -> Type # Methods from :: LabelingJobAlgorithmsConfig -> Rep LabelingJobAlgorithmsConfig x # to :: Rep LabelingJobAlgorithmsConfig x -> LabelingJobAlgorithmsConfig #
NFData LabelingJobAlgorithmsConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobAlgorithmsConfig Methods rnf :: LabelingJobAlgorithmsConfig -> () #
Hashable LabelingJobAlgorithmsConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobAlgorithmsConfig Methods hashWithSalt :: Int -> LabelingJobAlgorithmsConfig -> Int # hash :: LabelingJobAlgorithmsConfig -> Int #
ToJSON LabelingJobAlgorithmsConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobAlgorithmsConfig Methods toJSON :: LabelingJobAlgorithmsConfig -> Value # toEncoding :: LabelingJobAlgorithmsConfig -> Encoding # toJSONList :: [LabelingJobAlgorithmsConfig] -> Value # toEncodingList :: [LabelingJobAlgorithmsConfig] -> Encoding #
FromJSON LabelingJobAlgorithmsConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobAlgorithmsConfig Methods parseJSON :: Value -> Parser LabelingJobAlgorithmsConfig # parseJSONList :: Value -> Parser [LabelingJobAlgorithmsConfig] #
type Rep LabelingJobAlgorithmsConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobAlgorithmsConfig 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 #

Arguments

:: Text	`$sel:labelingJobAlgorithmSpecificationArn:LabelingJobAlgorithmsConfig'`
-> LabelingJobAlgorithmsConfig

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_labelingJobResourceConfig :: Lens' LabelingJobAlgorithmsConfig (Maybe LabelingJobResourceConfig) Source #

Provides configuration information for a labeling job.

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