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.EndpointInput

Description

Synopsis

data EndpointInput = EndpointInput' {
- endTimeOffset :: Maybe Text
- featuresAttribute :: Maybe Text
- inferenceAttribute :: Maybe Text
- probabilityAttribute :: Maybe Text
- probabilityThresholdAttribute :: Maybe Double
- s3DataDistributionType :: Maybe ProcessingS3DataDistributionType
- s3InputMode :: Maybe ProcessingS3InputMode
- startTimeOffset :: Maybe Text
- endpointName :: Text
- localPath :: Text
}
newEndpointInput :: Text -> Text -> EndpointInput
endpointInput_endTimeOffset :: Lens' EndpointInput (Maybe Text)
endpointInput_featuresAttribute :: Lens' EndpointInput (Maybe Text)
endpointInput_inferenceAttribute :: Lens' EndpointInput (Maybe Text)
endpointInput_probabilityAttribute :: Lens' EndpointInput (Maybe Text)
endpointInput_probabilityThresholdAttribute :: Lens' EndpointInput (Maybe Double)
endpointInput_s3DataDistributionType :: Lens' EndpointInput (Maybe ProcessingS3DataDistributionType)
endpointInput_s3InputMode :: Lens' EndpointInput (Maybe ProcessingS3InputMode)
endpointInput_startTimeOffset :: Lens' EndpointInput (Maybe Text)
endpointInput_endpointName :: Lens' EndpointInput Text
endpointInput_localPath :: Lens' EndpointInput Text

Documentation

data EndpointInput Source #

Input object for the endpoint

See: newEndpointInput smart constructor.

Constructors

EndpointInput'

Fields

endTimeOffset :: Maybe Text
If specified, monitoring jobs substract this time from the end time. For information about using offsets for scheduling monitoring jobs, see Schedule Model Quality Monitoring Jobs.
featuresAttribute :: Maybe Text
The attributes of the input data that are the input features.
inferenceAttribute :: Maybe Text
The attribute of the input data that represents the ground truth label.
probabilityAttribute :: Maybe Text
In a classification problem, the attribute that represents the class probability.
probabilityThresholdAttribute :: Maybe Double
The threshold for the class probability to be evaluated as a positive result.
s3DataDistributionType :: Maybe ProcessingS3DataDistributionType
Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defaults to FullyReplicated
s3InputMode :: Maybe ProcessingS3InputMode
Whether the Pipe or File is used as the input mode for transferring data for the monitoring job. Pipe mode is recommended for large datasets. File mode is useful for small files that fit in memory. Defaults to File.
startTimeOffset :: Maybe Text
If specified, monitoring jobs substract this time from the start time. For information about using offsets for scheduling monitoring jobs, see Schedule Model Quality Monitoring Jobs.
endpointName :: Text
An endpoint in customer's account which has enabled DataCaptureConfig enabled.
localPath :: Text
Path to the filesystem where the endpoint data is available to the container.

Instances

Instances details

FromJSON EndpointInput Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointInput Methods parseJSON :: Value -> Parser EndpointInput # parseJSONList :: Value -> Parser [EndpointInput] #
ToJSON EndpointInput Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointInput Methods toJSON :: EndpointInput -> Value # toEncoding :: EndpointInput -> Encoding # toJSONList :: [EndpointInput] -> Value # toEncodingList :: [EndpointInput] -> Encoding #
Generic EndpointInput Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointInput Associated Types type Rep EndpointInput :: Type -> Type # Methods from :: EndpointInput -> Rep EndpointInput x # to :: Rep EndpointInput x -> EndpointInput #
Read EndpointInput Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointInput Methods readsPrec :: Int -> ReadS EndpointInput # readList :: ReadS [EndpointInput] # readPrec :: ReadPrec EndpointInput # readListPrec :: ReadPrec [EndpointInput] #
Show EndpointInput Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointInput Methods showsPrec :: Int -> EndpointInput -> ShowS # show :: EndpointInput -> String # showList :: [EndpointInput] -> ShowS #
NFData EndpointInput Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointInput Methods rnf :: EndpointInput -> () #
Eq EndpointInput Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointInput Methods (==) :: EndpointInput -> EndpointInput -> Bool # (/=) :: EndpointInput -> EndpointInput -> Bool #
Hashable EndpointInput Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointInput Methods hashWithSalt :: Int -> EndpointInput -> Int # hash :: EndpointInput -> Int #
type Rep EndpointInput Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointInput type Rep EndpointInput = D1 ('MetaData "EndpointInput" "Amazonka.SageMaker.Types.EndpointInput" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "EndpointInput'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "endTimeOffset") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "featuresAttribute") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "inferenceAttribute") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "probabilityAttribute") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "probabilityThresholdAttribute") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double))))) :: ((S1 ('MetaSel ('Just "s3DataDistributionType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ProcessingS3DataDistributionType)) :: S1 ('MetaSel ('Just "s3InputMode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ProcessingS3InputMode))) :: (S1 ('MetaSel ('Just "startTimeOffset") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "endpointName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "localPath") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))))

newEndpointInput Source #

Arguments

:: Text	`$sel:endpointName:EndpointInput'`
-> Text	`$sel:localPath:EndpointInput'`
-> EndpointInput

Create a value of EndpointInput 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:endTimeOffset:EndpointInput', endpointInput_endTimeOffset - If specified, monitoring jobs substract this time from the end time. For information about using offsets for scheduling monitoring jobs, see Schedule Model Quality Monitoring Jobs.

$sel:featuresAttribute:EndpointInput', endpointInput_featuresAttribute - The attributes of the input data that are the input features.

$sel:inferenceAttribute:EndpointInput', endpointInput_inferenceAttribute - The attribute of the input data that represents the ground truth label.

$sel:probabilityAttribute:EndpointInput', endpointInput_probabilityAttribute - In a classification problem, the attribute that represents the class probability.

$sel:probabilityThresholdAttribute:EndpointInput', endpointInput_probabilityThresholdAttribute - The threshold for the class probability to be evaluated as a positive result.

$sel:s3DataDistributionType:EndpointInput', endpointInput_s3DataDistributionType - Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defaults to FullyReplicated

$sel:s3InputMode:EndpointInput', endpointInput_s3InputMode - Whether the Pipe or File is used as the input mode for transferring data for the monitoring job. Pipe mode is recommended for large datasets. File mode is useful for small files that fit in memory. Defaults to File.

$sel:startTimeOffset:EndpointInput', endpointInput_startTimeOffset - If specified, monitoring jobs substract this time from the start time. For information about using offsets for scheduling monitoring jobs, see Schedule Model Quality Monitoring Jobs.

$sel:endpointName:EndpointInput', endpointInput_endpointName - An endpoint in customer's account which has enabled DataCaptureConfig enabled.

$sel:localPath:EndpointInput', endpointInput_localPath - Path to the filesystem where the endpoint data is available to the container.

endpointInput_endTimeOffset :: Lens' EndpointInput (Maybe Text) Source #

If specified, monitoring jobs substract this time from the end time. For information about using offsets for scheduling monitoring jobs, see Schedule Model Quality Monitoring Jobs.

endpointInput_featuresAttribute :: Lens' EndpointInput (Maybe Text) Source #

The attributes of the input data that are the input features.

endpointInput_inferenceAttribute :: Lens' EndpointInput (Maybe Text) Source #

The attribute of the input data that represents the ground truth label.

endpointInput_probabilityAttribute :: Lens' EndpointInput (Maybe Text) Source #

In a classification problem, the attribute that represents the class probability.

endpointInput_probabilityThresholdAttribute :: Lens' EndpointInput (Maybe Double) Source #

The threshold for the class probability to be evaluated as a positive result.

endpointInput_s3DataDistributionType :: Lens' EndpointInput (Maybe ProcessingS3DataDistributionType) Source #

Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defaults to FullyReplicated

endpointInput_s3InputMode :: Lens' EndpointInput (Maybe ProcessingS3InputMode) Source #

Whether the Pipe or File is used as the input mode for transferring data for the monitoring job. Pipe mode is recommended for large datasets. File mode is useful for small files that fit in memory. Defaults to File.

endpointInput_startTimeOffset :: Lens' EndpointInput (Maybe Text) Source #

If specified, monitoring jobs substract this time from the start time. For information about using offsets for scheduling monitoring jobs, see Schedule Model Quality Monitoring Jobs.

endpointInput_endpointName :: Lens' EndpointInput Text Source #

An endpoint in customer's account which has enabled DataCaptureConfig enabled.

endpointInput_localPath :: Lens' EndpointInput Text Source #

Path to the filesystem where the endpoint data is available to the container.