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.ProductionVariant

Description

Synopsis

Documentation

data ProductionVariant Source #

Identifies a model that you want to host and the resources chosen to deploy for hosting it. If you are deploying multiple models, tell Amazon SageMaker how to distribute traffic among the models by specifying variant weights.

See: newProductionVariant smart constructor.

Constructors

ProductionVariant'

Fields

acceleratorType :: Maybe ProductionVariantAcceleratorType
The size of the Elastic Inference (EI) instance to use for the production variant. EI instances provide on-demand GPU computing for inference. For more information, see Using Elastic Inference in Amazon SageMaker.
coreDumpConfig :: Maybe ProductionVariantCoreDumpConfig
Specifies configuration for a core dump from the model container when the process crashes.
initialVariantWeight :: Maybe Double
Determines initial traffic distribution among all of the models that you specify in the endpoint configuration. The traffic to a production variant is determined by the ratio of the VariantWeight to the sum of all VariantWeight values across all ProductionVariants. If unspecified, it defaults to 1.0.
variantName :: Text
The name of the production variant.
modelName :: Text
The name of the model that you want to host. This is the name that you specified when creating the model.
initialInstanceCount :: Natural
Number of instances to launch initially.
instanceType :: ProductionVariantInstanceType
The ML compute instance type.

Instances

Instances details

Eq ProductionVariant Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariant Methods (==) :: ProductionVariant -> ProductionVariant -> Bool # (/=) :: ProductionVariant -> ProductionVariant -> Bool #
Read ProductionVariant Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariant Methods readsPrec :: Int -> ReadS ProductionVariant # readList :: ReadS [ProductionVariant] # readPrec :: ReadPrec ProductionVariant # readListPrec :: ReadPrec [ProductionVariant] #
Show ProductionVariant Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariant Methods showsPrec :: Int -> ProductionVariant -> ShowS # show :: ProductionVariant -> String # showList :: [ProductionVariant] -> ShowS #
Generic ProductionVariant Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariant Associated Types type Rep ProductionVariant :: Type -> Type # Methods from :: ProductionVariant -> Rep ProductionVariant x # to :: Rep ProductionVariant x -> ProductionVariant #
NFData ProductionVariant Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariant Methods rnf :: ProductionVariant -> () #
Hashable ProductionVariant Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariant Methods hashWithSalt :: Int -> ProductionVariant -> Int # hash :: ProductionVariant -> Int #
ToJSON ProductionVariant Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariant Methods toJSON :: ProductionVariant -> Value # toEncoding :: ProductionVariant -> Encoding # toJSONList :: [ProductionVariant] -> Value # toEncodingList :: [ProductionVariant] -> Encoding #
FromJSON ProductionVariant Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariant Methods parseJSON :: Value -> Parser ProductionVariant # parseJSONList :: Value -> Parser [ProductionVariant] #
type Rep ProductionVariant Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariant type Rep ProductionVariant = D1 ('MetaData "ProductionVariant" "Amazonka.SageMaker.Types.ProductionVariant" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ProductionVariant'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "acceleratorType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ProductionVariantAcceleratorType)) :: (S1 ('MetaSel ('Just "coreDumpConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ProductionVariantCoreDumpConfig)) :: S1 ('MetaSel ('Just "initialVariantWeight") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)))) :: ((S1 ('MetaSel ('Just "variantName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "modelName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)) :: (S1 ('MetaSel ('Just "initialInstanceCount") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Natural) :: S1 ('MetaSel ('Just "instanceType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 ProductionVariantInstanceType)))))

newProductionVariant Source #

Arguments

:: Text	`$sel:variantName:ProductionVariant'`
-> Text	`$sel:modelName:ProductionVariant'`
-> Natural	`$sel:initialInstanceCount:ProductionVariant'`
-> ProductionVariantInstanceType	`$sel:instanceType:ProductionVariant'`
-> ProductionVariant

Create a value of ProductionVariant 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:acceleratorType:ProductionVariant', productionVariant_acceleratorType - The size of the Elastic Inference (EI) instance to use for the production variant. EI instances provide on-demand GPU computing for inference. For more information, see Using Elastic Inference in Amazon SageMaker.

$sel:coreDumpConfig:ProductionVariant', productionVariant_coreDumpConfig - Specifies configuration for a core dump from the model container when the process crashes.

$sel:initialVariantWeight:ProductionVariant', productionVariant_initialVariantWeight - Determines initial traffic distribution among all of the models that you specify in the endpoint configuration. The traffic to a production variant is determined by the ratio of the VariantWeight to the sum of all VariantWeight values across all ProductionVariants. If unspecified, it defaults to 1.0.

$sel:variantName:ProductionVariant', productionVariant_variantName - The name of the production variant.

$sel:modelName:ProductionVariant', productionVariant_modelName - The name of the model that you want to host. This is the name that you specified when creating the model.

$sel:initialInstanceCount:ProductionVariant', productionVariant_initialInstanceCount - Number of instances to launch initially.

$sel:instanceType:ProductionVariant', productionVariant_instanceType - The ML compute instance type.

productionVariant_acceleratorType :: Lens' ProductionVariant (Maybe ProductionVariantAcceleratorType) Source #

The size of the Elastic Inference (EI) instance to use for the production variant. EI instances provide on-demand GPU computing for inference. For more information, see Using Elastic Inference in Amazon SageMaker.

productionVariant_coreDumpConfig :: Lens' ProductionVariant (Maybe ProductionVariantCoreDumpConfig) Source #

Specifies configuration for a core dump from the model container when the process crashes.

productionVariant_initialVariantWeight :: Lens' ProductionVariant (Maybe Double) Source #

Determines initial traffic distribution among all of the models that you specify in the endpoint configuration. The traffic to a production variant is determined by the ratio of the VariantWeight to the sum of all VariantWeight values across all ProductionVariants. If unspecified, it defaults to 1.0.

productionVariant_variantName :: Lens' ProductionVariant Text Source #

The name of the production variant.

productionVariant_modelName :: Lens' ProductionVariant Text Source #

The name of the model that you want to host. This is the name that you specified when creating the model.

productionVariant_initialInstanceCount :: Lens' ProductionVariant Natural Source #

Number of instances to launch initially.

productionVariant_instanceType :: Lens' ProductionVariant ProductionVariantInstanceType Source #

The ML compute instance type.