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.AddTags

Contents

Creating a Request
Request Lenses
Destructuring the Response
Response Lenses

Description

Adds one or more tags to an object, up to a limit of 10. Each tag consists of a key and an optional value. If you add a tag using a key that is already associated with the ML object, AddTags updates the tag's value.

Synopsis

Creating a Request

data AddTags Source #

See: newAddTags smart constructor.

Constructors

AddTags'
Fields tags :: [Tag] The key-value pairs to use to create tags. If you specify a key without specifying a value, Amazon ML creates a tag with the specified key and a value of null. resourceId :: Text The ID of the ML object to tag. For example, `exampleModelId`. resourceType :: TaggableResourceType The type of the ML object to tag.

Instances

Instances details

ToJSON AddTags Source #
Instance details Defined in Amazonka.MachineLearning.AddTags Methods toJSON :: AddTags -> Value # toEncoding :: AddTags -> Encoding # toJSONList :: [AddTags] -> Value # toEncodingList :: [AddTags] -> Encoding #
ToHeaders AddTags Source #
Instance details Defined in Amazonka.MachineLearning.AddTags Methods toHeaders :: AddTags -> [Header] #
ToPath AddTags Source #
Instance details Defined in Amazonka.MachineLearning.AddTags Methods toPath :: AddTags -> ByteString #
ToQuery AddTags Source #
Instance details Defined in Amazonka.MachineLearning.AddTags Methods toQuery :: AddTags -> QueryString #
AWSRequest AddTags Source #
Instance details Defined in Amazonka.MachineLearning.AddTags Associated Types type AWSResponse AddTags # Methods request :: (Service -> Service) -> AddTags -> Request AddTags # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy AddTags -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse AddTags))) #
Generic AddTags Source #
Instance details Defined in Amazonka.MachineLearning.AddTags Associated Types type Rep AddTags :: Type -> Type # Methods from :: AddTags -> Rep AddTags x # to :: Rep AddTags x -> AddTags #
Read AddTags Source #
Instance details Defined in Amazonka.MachineLearning.AddTags Methods readsPrec :: Int -> ReadS AddTags # readList :: ReadS [AddTags] # readPrec :: ReadPrec AddTags # readListPrec :: ReadPrec [AddTags] #
Show AddTags Source #
Instance details Defined in Amazonka.MachineLearning.AddTags Methods showsPrec :: Int -> AddTags -> ShowS # show :: AddTags -> String # showList :: [AddTags] -> ShowS #
NFData AddTags Source #
Instance details Defined in Amazonka.MachineLearning.AddTags Methods rnf :: AddTags -> () #
Eq AddTags Source #
Instance details Defined in Amazonka.MachineLearning.AddTags Methods (==) :: AddTags -> AddTags -> Bool # (/=) :: AddTags -> AddTags -> Bool #
Hashable AddTags Source #
Instance details Defined in Amazonka.MachineLearning.AddTags Methods hashWithSalt :: Int -> AddTags -> Int # hash :: AddTags -> Int #
type AWSResponse AddTags Source #
Instance details Defined in Amazonka.MachineLearning.AddTags type AWSResponse AddTags = AddTagsResponse
type Rep AddTags Source #
Instance details Defined in Amazonka.MachineLearning.AddTags type Rep AddTags = D1 ('MetaData "AddTags" "Amazonka.MachineLearning.AddTags" "amazonka-ml-2.0-A3JLJ63WvmfHxGBBIqhdRA" 'False) (C1 ('MetaCons "AddTags'" 'PrefixI 'True) (S1 ('MetaSel ('Just "tags") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 [Tag]) :: (S1 ('MetaSel ('Just "resourceId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "resourceType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 TaggableResourceType))))

newAddTags Source #

Arguments

:: Text	`AddTags`
-> TaggableResourceType	`AddTags`
-> AddTags

Create a value of AddTags 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:tags:AddTags', addTags_tags - The key-value pairs to use to create tags. If you specify a key without specifying a value, Amazon ML creates a tag with the specified key and a value of null.

AddTags, addTags_resourceId - The ID of the ML object to tag. For example, exampleModelId.

AddTags, addTags_resourceType - The type of the ML object to tag.

Request Lenses

addTags_tags :: Lens' AddTags [Tag] Source #

The key-value pairs to use to create tags. If you specify a key without specifying a value, Amazon ML creates a tag with the specified key and a value of null.

addTags_resourceId :: Lens' AddTags Text Source #

The ID of the ML object to tag. For example, exampleModelId.

addTags_resourceType :: Lens' AddTags TaggableResourceType Source #

The type of the ML object to tag.

Destructuring the Response

data AddTagsResponse Source #

Amazon ML returns the following elements.

See: newAddTagsResponse smart constructor.

Constructors

AddTagsResponse'
Fields resourceId :: Maybe Text The ID of the ML object that was tagged. resourceType :: Maybe TaggableResourceType The type of the ML object that was tagged. httpStatus :: Int The response's http status code.

Instances

Instances details

Generic AddTagsResponse Source #
Instance details Defined in Amazonka.MachineLearning.AddTags Associated Types type Rep AddTagsResponse :: Type -> Type # Methods from :: AddTagsResponse -> Rep AddTagsResponse x # to :: Rep AddTagsResponse x -> AddTagsResponse #
Read AddTagsResponse Source #
Instance details Defined in Amazonka.MachineLearning.AddTags Methods readsPrec :: Int -> ReadS AddTagsResponse # readList :: ReadS [AddTagsResponse] # readPrec :: ReadPrec AddTagsResponse # readListPrec :: ReadPrec [AddTagsResponse] #
Show AddTagsResponse Source #
Instance details Defined in Amazonka.MachineLearning.AddTags Methods showsPrec :: Int -> AddTagsResponse -> ShowS # show :: AddTagsResponse -> String # showList :: [AddTagsResponse] -> ShowS #
NFData AddTagsResponse Source #
Instance details Defined in Amazonka.MachineLearning.AddTags Methods rnf :: AddTagsResponse -> () #
Eq AddTagsResponse Source #
Instance details Defined in Amazonka.MachineLearning.AddTags Methods (==) :: AddTagsResponse -> AddTagsResponse -> Bool # (/=) :: AddTagsResponse -> AddTagsResponse -> Bool #
type Rep AddTagsResponse Source #
Instance details Defined in Amazonka.MachineLearning.AddTags type Rep AddTagsResponse = D1 ('MetaData "AddTagsResponse" "Amazonka.MachineLearning.AddTags" "amazonka-ml-2.0-A3JLJ63WvmfHxGBBIqhdRA" 'False) (C1 ('MetaCons "AddTagsResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "resourceId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "resourceType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TaggableResourceType)) :: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int))))

newAddTagsResponse Source #

Arguments

:: Int	`$sel:httpStatus:AddTagsResponse'`
-> AddTagsResponse

Create a value of AddTagsResponse 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:

AddTags, addTagsResponse_resourceId - The ID of the ML object that was tagged.

AddTags, addTagsResponse_resourceType - The type of the ML object that was tagged.

$sel:httpStatus:AddTagsResponse', addTagsResponse_httpStatus - The response's http status code.

Response Lenses

addTagsResponse_resourceId :: Lens' AddTagsResponse (Maybe Text) Source #

The ID of the ML object that was tagged.

addTagsResponse_resourceType :: Lens' AddTagsResponse (Maybe TaggableResourceType) Source #

The type of the ML object that was tagged.

addTagsResponse_httpStatus :: Lens' AddTagsResponse Int Source #

The response's http status code.