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.AutoMLChannel

Description

Documentation

data AutoMLChannel Source #

A channel is a named input source that training algorithms can consume. For more information, see .

See: newAutoMLChannel smart constructor.

Constructors

AutoMLChannel'
Fields compressionType :: Maybe CompressionType You can use `Gzip` or `None`. The default value is `None`. dataSource :: AutoMLDataSource The data source for an AutoML channel. targetAttributeName :: Text The name of the target variable in supervised learning, usually represented by 'y'.

Instances

Instances details

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

newAutoMLChannel Source #

Arguments

:: AutoMLDataSource	`$sel:dataSource:AutoMLChannel'`
-> Text	`$sel:targetAttributeName:AutoMLChannel'`
-> AutoMLChannel

Create a value of AutoMLChannel 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:compressionType:AutoMLChannel', autoMLChannel_compressionType - You can use Gzip or None. The default value is None.

$sel:dataSource:AutoMLChannel', autoMLChannel_dataSource - The data source for an AutoML channel.

$sel:targetAttributeName:AutoMLChannel', autoMLChannel_targetAttributeName - The name of the target variable in supervised learning, usually represented by 'y'.

autoMLChannel_compressionType :: Lens' AutoMLChannel (Maybe CompressionType) Source #

You can use Gzip or None. The default value is None.

autoMLChannel_dataSource :: Lens' AutoMLChannel AutoMLDataSource Source #

The data source for an AutoML channel.

autoMLChannel_targetAttributeName :: Lens' AutoMLChannel Text Source #

The name of the target variable in supervised learning, usually represented by 'y'.