Copyright	(c) 2013-2023 Brendan Hay
License	Mozilla Public License, v. 2.0.
Maintainer	Brendan Hay
Stability	auto-generated
Portability	non-portable (GHC extensions)
Safe Haskell	Safe-Inferred
Language	Haskell2010

Amazonka.SageMaker.Types.RecommendationJobContainerConfig

Description

Synopsis

Documentation

data RecommendationJobContainerConfig Source #

Specifies mandatory fields for running an Inference Recommender job directly in the CreateInferenceRecommendationsJob API. The fields specified in ContainerConfig override the corresponding fields in the model package. Use ContainerConfig if you want to specify these fields for the recommendation job but don't want to edit them in your model package.

See: newRecommendationJobContainerConfig smart constructor.

Constructors

RecommendationJobContainerConfig'

Fields

domain :: Maybe Text
The machine learning domain of the model and its components.
Valid Values: COMPUTER_VISION | NATURAL_LANGUAGE_PROCESSING | MACHINE_LEARNING
framework :: Maybe Text
The machine learning framework of the container image.
Valid Values: TENSORFLOW | PYTORCH | XGBOOST | SAGEMAKER-SCIKIT-LEARN
frameworkVersion :: Maybe Text
The framework version of the container image.
nearestModelName :: Maybe Text
The name of a pre-trained machine learning model benchmarked by Amazon SageMaker Inference Recommender that matches your model.
Valid Values: efficientnetb7 | unet | xgboost | faster-rcnn-resnet101 | nasnetlarge | vgg16 | inception-v3 | mask-rcnn | sagemaker-scikit-learn | densenet201-gluon | resnet18v2-gluon | xception | densenet201 | yolov4 | resnet152 | bert-base-cased | xceptionV1-keras | resnet50 | retinanet
payloadConfig :: Maybe RecommendationJobPayloadConfig
Specifies the SamplePayloadUrl and all other sample payload-related fields.
supportedInstanceTypes :: Maybe [Text]
A list of the instance types that are used to generate inferences in real-time.
task :: Maybe Text
The machine learning task that the model accomplishes.
Valid Values: IMAGE_CLASSIFICATION | OBJECT_DETECTION | TEXT_GENERATION | IMAGE_SEGMENTATION | FILL_MASK | CLASSIFICATION | REGRESSION | OTHER

Instances

Instances details

FromJSON RecommendationJobContainerConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.RecommendationJobContainerConfig Methods parseJSON :: Value -> Parser RecommendationJobContainerConfig # parseJSONList :: Value -> Parser [RecommendationJobContainerConfig] #
ToJSON RecommendationJobContainerConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.RecommendationJobContainerConfig Methods toJSON :: RecommendationJobContainerConfig -> Value # toEncoding :: RecommendationJobContainerConfig -> Encoding # toJSONList :: [RecommendationJobContainerConfig] -> Value # toEncodingList :: [RecommendationJobContainerConfig] -> Encoding #
Generic RecommendationJobContainerConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.RecommendationJobContainerConfig Associated Types type Rep RecommendationJobContainerConfig :: Type -> Type # Methods from :: RecommendationJobContainerConfig -> Rep RecommendationJobContainerConfig x # to :: Rep RecommendationJobContainerConfig x -> RecommendationJobContainerConfig #
Read RecommendationJobContainerConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.RecommendationJobContainerConfig Methods readsPrec :: Int -> ReadS RecommendationJobContainerConfig # readList :: ReadS [RecommendationJobContainerConfig] # readPrec :: ReadPrec RecommendationJobContainerConfig # readListPrec :: ReadPrec [RecommendationJobContainerConfig] #
Show RecommendationJobContainerConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.RecommendationJobContainerConfig Methods showsPrec :: Int -> RecommendationJobContainerConfig -> ShowS # show :: RecommendationJobContainerConfig -> String # showList :: [RecommendationJobContainerConfig] -> ShowS #
NFData RecommendationJobContainerConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.RecommendationJobContainerConfig Methods rnf :: RecommendationJobContainerConfig -> () #
Eq RecommendationJobContainerConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.RecommendationJobContainerConfig Methods (==) :: RecommendationJobContainerConfig -> RecommendationJobContainerConfig -> Bool # (/=) :: RecommendationJobContainerConfig -> RecommendationJobContainerConfig -> Bool #
Hashable RecommendationJobContainerConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.RecommendationJobContainerConfig Methods hashWithSalt :: Int -> RecommendationJobContainerConfig -> Int # hash :: RecommendationJobContainerConfig -> Int #
type Rep RecommendationJobContainerConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.RecommendationJobContainerConfig type Rep RecommendationJobContainerConfig = D1 ('MetaData "RecommendationJobContainerConfig" "Amazonka.SageMaker.Types.RecommendationJobContainerConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "RecommendationJobContainerConfig'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "domain") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "framework") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "frameworkVersion") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: ((S1 ('MetaSel ('Just "nearestModelName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "payloadConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe RecommendationJobPayloadConfig))) :: (S1 ('MetaSel ('Just "supportedInstanceTypes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Text])) :: S1 ('MetaSel ('Just "task") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newRecommendationJobContainerConfig :: RecommendationJobContainerConfig Source #

Create a value of RecommendationJobContainerConfig 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:domain:RecommendationJobContainerConfig', recommendationJobContainerConfig_domain - The machine learning domain of the model and its components.

Valid Values: COMPUTER_VISION | NATURAL_LANGUAGE_PROCESSING | MACHINE_LEARNING

$sel:framework:RecommendationJobContainerConfig', recommendationJobContainerConfig_framework - The machine learning framework of the container image.

Valid Values: TENSORFLOW | PYTORCH | XGBOOST | SAGEMAKER-SCIKIT-LEARN

$sel:frameworkVersion:RecommendationJobContainerConfig', recommendationJobContainerConfig_frameworkVersion - The framework version of the container image.

$sel:nearestModelName:RecommendationJobContainerConfig', recommendationJobContainerConfig_nearestModelName - The name of a pre-trained machine learning model benchmarked by Amazon SageMaker Inference Recommender that matches your model.

$sel:payloadConfig:RecommendationJobContainerConfig', recommendationJobContainerConfig_payloadConfig - Specifies the SamplePayloadUrl and all other sample payload-related fields.

$sel:supportedInstanceTypes:RecommendationJobContainerConfig', recommendationJobContainerConfig_supportedInstanceTypes - A list of the instance types that are used to generate inferences in real-time.

$sel:task:RecommendationJobContainerConfig', recommendationJobContainerConfig_task - The machine learning task that the model accomplishes.

recommendationJobContainerConfig_domain :: Lens' RecommendationJobContainerConfig (Maybe Text) Source #

The machine learning domain of the model and its components.

Valid Values: COMPUTER_VISION | NATURAL_LANGUAGE_PROCESSING | MACHINE_LEARNING

recommendationJobContainerConfig_framework :: Lens' RecommendationJobContainerConfig (Maybe Text) Source #

The machine learning framework of the container image.

Valid Values: TENSORFLOW | PYTORCH | XGBOOST | SAGEMAKER-SCIKIT-LEARN

recommendationJobContainerConfig_frameworkVersion :: Lens' RecommendationJobContainerConfig (Maybe Text) Source #

The framework version of the container image.

recommendationJobContainerConfig_nearestModelName :: Lens' RecommendationJobContainerConfig (Maybe Text) Source #

The name of a pre-trained machine learning model benchmarked by Amazon SageMaker Inference Recommender that matches your model.

recommendationJobContainerConfig_payloadConfig :: Lens' RecommendationJobContainerConfig (Maybe RecommendationJobPayloadConfig) Source #

Specifies the SamplePayloadUrl and all other sample payload-related fields.

recommendationJobContainerConfig_supportedInstanceTypes :: Lens' RecommendationJobContainerConfig (Maybe [Text]) Source #

A list of the instance types that are used to generate inferences in real-time.

recommendationJobContainerConfig_task :: Lens' RecommendationJobContainerConfig (Maybe Text) Source #

The machine learning task that the model accomplishes.