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.MachineLearning.Types.Tag

Description

Synopsis

data Tag = Tag' {
- key :: Maybe Text
- value :: Maybe Text
}
newTag :: Tag
tag_key :: Lens' Tag (Maybe Text)
tag_value :: Lens' Tag (Maybe Text)

Documentation

data Tag Source #

A custom key-value pair associated with an ML object, such as an ML model.

See: newTag smart constructor.

Constructors

Tag'
Fields key :: Maybe Text A unique identifier for the tag. Valid characters include Unicode letters, digits, white space, _, ., /, =, +, -, %, and @. value :: Maybe Text An optional string, typically used to describe or define the tag. Valid characters include Unicode letters, digits, white space, _, ., /, =, +, -, %, and @.

Instances

Instances details

FromJSON Tag Source #
Instance details Defined in Amazonka.MachineLearning.Types.Tag Methods parseJSON :: Value -> Parser Tag # parseJSONList :: Value -> Parser [Tag] #
ToJSON Tag Source #
Instance details Defined in Amazonka.MachineLearning.Types.Tag Methods toJSON :: Tag -> Value # toEncoding :: Tag -> Encoding # toJSONList :: [Tag] -> Value # toEncodingList :: [Tag] -> Encoding #
Generic Tag Source #
Instance details Defined in Amazonka.MachineLearning.Types.Tag Associated Types type Rep Tag :: Type -> Type # Methods from :: Tag -> Rep Tag x # to :: Rep Tag x -> Tag #
Read Tag Source #
Instance details Defined in Amazonka.MachineLearning.Types.Tag Methods readsPrec :: Int -> ReadS Tag # readList :: ReadS [Tag] # readPrec :: ReadPrec Tag # readListPrec :: ReadPrec [Tag] #
Show Tag Source #
Instance details Defined in Amazonka.MachineLearning.Types.Tag Methods showsPrec :: Int -> Tag -> ShowS # show :: Tag -> String # showList :: [Tag] -> ShowS #
NFData Tag Source #
Instance details Defined in Amazonka.MachineLearning.Types.Tag Methods rnf :: Tag -> () #
Eq Tag Source #
Instance details Defined in Amazonka.MachineLearning.Types.Tag Methods (==) :: Tag -> Tag -> Bool # (/=) :: Tag -> Tag -> Bool #
Hashable Tag Source #
Instance details Defined in Amazonka.MachineLearning.Types.Tag Methods hashWithSalt :: Int -> Tag -> Int # hash :: Tag -> Int #
type Rep Tag Source #
Instance details Defined in Amazonka.MachineLearning.Types.Tag type Rep Tag = D1 ('MetaData "Tag" "Amazonka.MachineLearning.Types.Tag" "amazonka-ml-2.0-A3JLJ63WvmfHxGBBIqhdRA" 'False) (C1 ('MetaCons "Tag'" 'PrefixI 'True) (S1 ('MetaSel ('Just "key") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "value") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newTag :: Tag Source #

Create a value of Tag 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:key:Tag', tag_key - A unique identifier for the tag. Valid characters include Unicode letters, digits, white space, _, ., /, =, +, -, %, and @.

$sel:value:Tag', tag_value - An optional string, typically used to describe or define the tag. Valid characters include Unicode letters, digits, white space, _, ., /, =, +, -, %, and @.

tag_key :: Lens' Tag (Maybe Text) Source #

A unique identifier for the tag. Valid characters include Unicode letters, digits, white space, _, ., /, =, +, -, %, and @.

tag_value :: Lens' Tag (Maybe Text) Source #

An optional string, typically used to describe or define the tag. Valid characters include Unicode letters, digits, white space, _, ., /, =, +, -, %, and @.