amazonka-ml-2.0: Amazon Machine Learning SDK.
Copyright(c) 2013-2023 Brendan Hay
LicenseMozilla Public License, v. 2.0.
MaintainerBrendan Hay
Stabilityauto-generated
Portabilitynon-portable (GHC extensions)
Safe HaskellSafe-Inferred
LanguageHaskell2010

Amazonka.MachineLearning.DescribeTags

Description

Describes one or more of the tags for your Amazon ML object.

Synopsis

Creating a Request

data DescribeTags Source #

See: newDescribeTags smart constructor.

Constructors

DescribeTags' 

Fields

Instances

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ToJSON DescribeTags Source # 
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ToHeaders DescribeTags Source # 
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ToPath DescribeTags Source # 
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ToQuery DescribeTags Source # 
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AWSRequest DescribeTags Source # 
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Associated Types

type AWSResponse DescribeTags #

Generic DescribeTags Source # 
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Associated Types

type Rep DescribeTags :: Type -> Type #

Read DescribeTags Source # 
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Show DescribeTags Source # 
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NFData DescribeTags Source # 
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Methods

rnf :: DescribeTags -> () #

Eq DescribeTags Source # 
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Hashable DescribeTags Source # 
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type AWSResponse DescribeTags Source # 
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type Rep DescribeTags Source # 
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type Rep DescribeTags = D1 ('MetaData "DescribeTags" "Amazonka.MachineLearning.DescribeTags" "amazonka-ml-2.0-A3JLJ63WvmfHxGBBIqhdRA" 'False) (C1 ('MetaCons "DescribeTags'" 'PrefixI 'True) (S1 ('MetaSel ('Just "resourceId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "resourceType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 TaggableResourceType)))

newDescribeTags Source #

Create a value of DescribeTags 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:

DescribeTags, describeTags_resourceId - The ID of the ML object. For example, exampleModelId.

DescribeTags, describeTags_resourceType - The type of the ML object.

Request Lenses

describeTags_resourceId :: Lens' DescribeTags Text Source #

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

Destructuring the Response

data DescribeTagsResponse Source #

Amazon ML returns the following elements.

See: newDescribeTagsResponse smart constructor.

Constructors

DescribeTagsResponse' 

Fields

Instances

Instances details
Generic DescribeTagsResponse Source # 
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Associated Types

type Rep DescribeTagsResponse :: Type -> Type #

Read DescribeTagsResponse Source # 
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Show DescribeTagsResponse Source # 
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NFData DescribeTagsResponse Source # 
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Methods

rnf :: DescribeTagsResponse -> () #

Eq DescribeTagsResponse Source # 
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type Rep DescribeTagsResponse Source # 
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type Rep DescribeTagsResponse = D1 ('MetaData "DescribeTagsResponse" "Amazonka.MachineLearning.DescribeTags" "amazonka-ml-2.0-A3JLJ63WvmfHxGBBIqhdRA" 'False) (C1 ('MetaCons "DescribeTagsResponse'" '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 "tags") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Tag])) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int))))

newDescribeTagsResponse Source #

Create a value of DescribeTagsResponse 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:

DescribeTags, describeTagsResponse_resourceId - The ID of the tagged ML object.

DescribeTags, describeTagsResponse_resourceType - The type of the tagged ML object.

$sel:tags:DescribeTagsResponse', describeTagsResponse_tags - A list of tags associated with the ML object.

$sel:httpStatus:DescribeTagsResponse', describeTagsResponse_httpStatus - The response's http status code.

Response Lenses

describeTagsResponse_tags :: Lens' DescribeTagsResponse (Maybe [Tag]) Source #

A list of tags associated with the ML object.