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.TransformJobDefinition

Description

Synopsis

Documentation

data TransformJobDefinition Source #

Defines the input needed to run a transform job using the inference specification specified in the algorithm.

See: newTransformJobDefinition smart constructor.

Constructors

TransformJobDefinition'

Fields

batchStrategy :: Maybe BatchStrategy
A string that determines the number of records included in a single mini-batch.
SingleRecord means only one record is used per mini-batch. MultiRecord means a mini-batch is set to contain as many records that can fit within the MaxPayloadInMB limit.
maxPayloadInMB :: Maybe Natural
The maximum payload size allowed, in MB. A payload is the data portion of a record (without metadata).
environment :: Maybe (HashMap Text Text)
The environment variables to set in the Docker container. We support up to 16 key and values entries in the map.
maxConcurrentTransforms :: Maybe Natural
The maximum number of parallel requests that can be sent to each instance in a transform job. The default value is 1.
transformInput :: TransformInput
A description of the input source and the way the transform job consumes it.
transformOutput :: TransformOutput
Identifies the Amazon S3 location where you want Amazon SageMaker to save the results from the transform job.
transformResources :: TransformResources
Identifies the ML compute instances for the transform job.

Instances

Instances details

Eq TransformJobDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformJobDefinition Methods (==) :: TransformJobDefinition -> TransformJobDefinition -> Bool # (/=) :: TransformJobDefinition -> TransformJobDefinition -> Bool #
Read TransformJobDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformJobDefinition Methods readsPrec :: Int -> ReadS TransformJobDefinition # readList :: ReadS [TransformJobDefinition] # readPrec :: ReadPrec TransformJobDefinition # readListPrec :: ReadPrec [TransformJobDefinition] #
Show TransformJobDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformJobDefinition Methods showsPrec :: Int -> TransformJobDefinition -> ShowS # show :: TransformJobDefinition -> String # showList :: [TransformJobDefinition] -> ShowS #
Generic TransformJobDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformJobDefinition Associated Types type Rep TransformJobDefinition :: Type -> Type # Methods from :: TransformJobDefinition -> Rep TransformJobDefinition x # to :: Rep TransformJobDefinition x -> TransformJobDefinition #
NFData TransformJobDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformJobDefinition Methods rnf :: TransformJobDefinition -> () #
Hashable TransformJobDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformJobDefinition Methods hashWithSalt :: Int -> TransformJobDefinition -> Int # hash :: TransformJobDefinition -> Int #
ToJSON TransformJobDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformJobDefinition Methods toJSON :: TransformJobDefinition -> Value # toEncoding :: TransformJobDefinition -> Encoding # toJSONList :: [TransformJobDefinition] -> Value # toEncodingList :: [TransformJobDefinition] -> Encoding #
FromJSON TransformJobDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformJobDefinition Methods parseJSON :: Value -> Parser TransformJobDefinition # parseJSONList :: Value -> Parser [TransformJobDefinition] #
type Rep TransformJobDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformJobDefinition type Rep TransformJobDefinition = D1 ('MetaData "TransformJobDefinition" "Amazonka.SageMaker.Types.TransformJobDefinition" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "TransformJobDefinition'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "batchStrategy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe BatchStrategy)) :: (S1 ('MetaSel ('Just "maxPayloadInMB") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: S1 ('MetaSel ('Just "environment") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text))))) :: ((S1 ('MetaSel ('Just "maxConcurrentTransforms") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: S1 ('MetaSel ('Just "transformInput") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 TransformInput)) :: (S1 ('MetaSel ('Just "transformOutput") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 TransformOutput) :: S1 ('MetaSel ('Just "transformResources") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 TransformResources)))))

newTransformJobDefinition Source #

Arguments

:: TransformInput	`$sel:transformInput:TransformJobDefinition'`
-> TransformOutput	`$sel:transformOutput:TransformJobDefinition'`
-> TransformResources	`$sel:transformResources:TransformJobDefinition'`
-> TransformJobDefinition

Create a value of TransformJobDefinition 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:batchStrategy:TransformJobDefinition', transformJobDefinition_batchStrategy - A string that determines the number of records included in a single mini-batch.

SingleRecord means only one record is used per mini-batch. MultiRecord means a mini-batch is set to contain as many records that can fit within the MaxPayloadInMB limit.

$sel:maxPayloadInMB:TransformJobDefinition', transformJobDefinition_maxPayloadInMB - The maximum payload size allowed, in MB. A payload is the data portion of a record (without metadata).

$sel:environment:TransformJobDefinition', transformJobDefinition_environment - The environment variables to set in the Docker container. We support up to 16 key and values entries in the map.

$sel:maxConcurrentTransforms:TransformJobDefinition', transformJobDefinition_maxConcurrentTransforms - The maximum number of parallel requests that can be sent to each instance in a transform job. The default value is 1.

$sel:transformInput:TransformJobDefinition', transformJobDefinition_transformInput - A description of the input source and the way the transform job consumes it.

$sel:transformOutput:TransformJobDefinition', transformJobDefinition_transformOutput - Identifies the Amazon S3 location where you want Amazon SageMaker to save the results from the transform job.

$sel:transformResources:TransformJobDefinition', transformJobDefinition_transformResources - Identifies the ML compute instances for the transform job.

transformJobDefinition_batchStrategy :: Lens' TransformJobDefinition (Maybe BatchStrategy) Source #

A string that determines the number of records included in a single mini-batch.

SingleRecord means only one record is used per mini-batch. MultiRecord means a mini-batch is set to contain as many records that can fit within the MaxPayloadInMB limit.

transformJobDefinition_maxPayloadInMB :: Lens' TransformJobDefinition (Maybe Natural) Source #

The maximum payload size allowed, in MB. A payload is the data portion of a record (without metadata).

transformJobDefinition_environment :: Lens' TransformJobDefinition (Maybe (HashMap Text Text)) Source #

The environment variables to set in the Docker container. We support up to 16 key and values entries in the map.

transformJobDefinition_maxConcurrentTransforms :: Lens' TransformJobDefinition (Maybe Natural) Source #

The maximum number of parallel requests that can be sent to each instance in a transform job. The default value is 1.

transformJobDefinition_transformInput :: Lens' TransformJobDefinition TransformInput Source #

A description of the input source and the way the transform job consumes it.

transformJobDefinition_transformOutput :: Lens' TransformJobDefinition TransformOutput Source #

Identifies the Amazon S3 location where you want Amazon SageMaker to save the results from the transform job.

transformJobDefinition_transformResources :: Lens' TransformJobDefinition TransformResources Source #

Identifies the ML compute instances for the transform job.