Amazonka.MachineLearning.CreateRealtimeEndpoint

Creates a real-time endpoint for the MLModel. The endpoint contains the URI of the MLModel; that is, the location to send real-time prediction requests for the specified MLModel.

Creating a Request

data CreateRealtimeEndpoint

See: newCreateRealtimeEndpoint smart constructor.

Constructors

CreateRealtimeEndpoint'

Fields

• mLModelId :: Text

  The ID assigned to the MLModel during creation.

Instances

ToJSON CreateRealtimeEndpoint

Defined in Amazonka.MachineLearning.CreateRealtimeEndpoint

Methods

toJSON :: CreateRealtimeEndpoint -> Value

toEncoding :: CreateRealtimeEndpoint -> Encoding

toJSONList :: [CreateRealtimeEndpoint] -> Value

toEncodingList :: [CreateRealtimeEndpoint] -> Encoding

ToHeaders CreateRealtimeEndpoint

Defined in Amazonka.MachineLearning.CreateRealtimeEndpoint

Methods

toHeaders :: CreateRealtimeEndpoint -> [Header]

ToPath CreateRealtimeEndpoint

Defined in Amazonka.MachineLearning.CreateRealtimeEndpoint

Methods

toPath :: CreateRealtimeEndpoint -> ByteString

ToQuery CreateRealtimeEndpoint

Defined in Amazonka.MachineLearning.CreateRealtimeEndpoint

Methods

toQuery :: CreateRealtimeEndpoint -> QueryString

AWSRequest CreateRealtimeEndpoint

Defined in Amazonka.MachineLearning.CreateRealtimeEndpoint

Associated Types

type AWSResponse CreateRealtimeEndpoint

Methods

request :: (Service -> Service) -> CreateRealtimeEndpoint -> Request CreateRealtimeEndpoint

response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy CreateRealtimeEndpoint -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse CreateRealtimeEndpoint)))

Generic CreateRealtimeEndpoint

Defined in Amazonka.MachineLearning.CreateRealtimeEndpoint

Associated Types

type Rep CreateRealtimeEndpoint :: Type -> Type

Methods

from :: CreateRealtimeEndpoint -> Rep CreateRealtimeEndpoint x

to :: Rep CreateRealtimeEndpoint x -> CreateRealtimeEndpoint

Read CreateRealtimeEndpoint

Defined in Amazonka.MachineLearning.CreateRealtimeEndpoint

Methods

readsPrec :: Int -> ReadS CreateRealtimeEndpoint

readList :: ReadS [CreateRealtimeEndpoint]

readPrec :: ReadPrec CreateRealtimeEndpoint

readListPrec :: ReadPrec [CreateRealtimeEndpoint]

Show CreateRealtimeEndpoint

Defined in Amazonka.MachineLearning.CreateRealtimeEndpoint

Methods

showsPrec :: Int -> CreateRealtimeEndpoint -> ShowS

show :: CreateRealtimeEndpoint -> String

showList :: [CreateRealtimeEndpoint] -> ShowS

NFData CreateRealtimeEndpoint

Defined in Amazonka.MachineLearning.CreateRealtimeEndpoint

Methods

rnf :: CreateRealtimeEndpoint -> ()

Eq CreateRealtimeEndpoint

Defined in Amazonka.MachineLearning.CreateRealtimeEndpoint

Methods

(==) :: CreateRealtimeEndpoint -> CreateRealtimeEndpoint -> Bool

(/=) :: CreateRealtimeEndpoint -> CreateRealtimeEndpoint -> Bool

Hashable CreateRealtimeEndpoint

Defined in Amazonka.MachineLearning.CreateRealtimeEndpoint

Methods

hashWithSalt :: Int -> CreateRealtimeEndpoint -> Int

hash :: CreateRealtimeEndpoint -> Int

type AWSResponse CreateRealtimeEndpoint

Defined in Amazonka.MachineLearning.CreateRealtimeEndpoint

type AWSResponse CreateRealtimeEndpoint = CreateRealtimeEndpointResponse

type Rep CreateRealtimeEndpoint

Defined in Amazonka.MachineLearning.CreateRealtimeEndpoint

type Rep CreateRealtimeEndpoint = D1 ('MetaData "CreateRealtimeEndpoint" "Amazonka.MachineLearning.CreateRealtimeEndpoint" "amazonka-ml-2.0-A3JLJ63WvmfHxGBBIqhdRA" 'False) (C1 ('MetaCons "CreateRealtimeEndpoint'" 'PrefixI 'True) (S1 ('MetaSel ('Just "mLModelId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newCreateRealtimeEndpoint

Arguments

:: Text

CreateRealtimeEndpoint

-> CreateRealtimeEndpoint

Create a value of CreateRealtimeEndpoint 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:

CreateRealtimeEndpoint, createRealtimeEndpoint_mLModelId - The ID assigned to the MLModel during creation.

Request Lenses

createRealtimeEndpoint_mLModelId :: Lens' CreateRealtimeEndpoint Text

The ID assigned to the MLModel during creation.

Destructuring the Response

data CreateRealtimeEndpointResponse

Represents the output of an CreateRealtimeEndpoint operation.

The result contains the MLModelId and the endpoint information for the MLModel.

Note: The endpoint information includes the URI of the MLModel; that is, the location to send online prediction requests for the specified MLModel.

See: newCreateRealtimeEndpointResponse smart constructor.

Constructors

CreateRealtimeEndpointResponse'

Fields

• mLModelId :: Maybe Text

  A user-supplied ID that uniquely identifies the MLModel. This value should be identical to the value of the MLModelId in the request.

• realtimeEndpointInfo :: Maybe RealtimeEndpointInfo

  The endpoint information of the MLModel

• httpStatus :: Int

  The response's http status code.

Instances

Generic CreateRealtimeEndpointResponse

Defined in Amazonka.MachineLearning.CreateRealtimeEndpoint

Associated Types

type Rep CreateRealtimeEndpointResponse :: Type -> Type

Methods

from :: CreateRealtimeEndpointResponse -> Rep CreateRealtimeEndpointResponse x

to :: Rep CreateRealtimeEndpointResponse x -> CreateRealtimeEndpointResponse

Read CreateRealtimeEndpointResponse

Defined in Amazonka.MachineLearning.CreateRealtimeEndpoint

Methods

readsPrec :: Int -> ReadS CreateRealtimeEndpointResponse

readList :: ReadS [CreateRealtimeEndpointResponse]

readPrec :: ReadPrec CreateRealtimeEndpointResponse

readListPrec :: ReadPrec [CreateRealtimeEndpointResponse]

Show CreateRealtimeEndpointResponse

Defined in Amazonka.MachineLearning.CreateRealtimeEndpoint

Methods

showsPrec :: Int -> CreateRealtimeEndpointResponse -> ShowS

show :: CreateRealtimeEndpointResponse -> String

showList :: [CreateRealtimeEndpointResponse] -> ShowS

NFData CreateRealtimeEndpointResponse

Defined in Amazonka.MachineLearning.CreateRealtimeEndpoint

Methods

rnf :: CreateRealtimeEndpointResponse -> ()

Eq CreateRealtimeEndpointResponse

Defined in Amazonka.MachineLearning.CreateRealtimeEndpoint

Methods

(==) :: CreateRealtimeEndpointResponse -> CreateRealtimeEndpointResponse -> Bool

(/=) :: CreateRealtimeEndpointResponse -> CreateRealtimeEndpointResponse -> Bool

type Rep CreateRealtimeEndpointResponse

Defined in Amazonka.MachineLearning.CreateRealtimeEndpoint

type Rep CreateRealtimeEndpointResponse = D1 ('MetaData "CreateRealtimeEndpointResponse" "Amazonka.MachineLearning.CreateRealtimeEndpoint" "amazonka-ml-2.0-A3JLJ63WvmfHxGBBIqhdRA" 'False) (C1 ('MetaCons "CreateRealtimeEndpointResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "mLModelId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "realtimeEndpointInfo") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe RealtimeEndpointInfo)) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int))))

newCreateRealtimeEndpointResponse

Arguments

:: Int

$sel:httpStatus:CreateRealtimeEndpointResponse'

-> CreateRealtimeEndpointResponse

Create a value of CreateRealtimeEndpointResponse 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:

CreateRealtimeEndpoint, createRealtimeEndpointResponse_mLModelId - A user-supplied ID that uniquely identifies the MLModel. This value should be identical to the value of the MLModelId in the request.

$sel:realtimeEndpointInfo:CreateRealtimeEndpointResponse', createRealtimeEndpointResponse_realtimeEndpointInfo - The endpoint information of the MLModel

$sel:httpStatus:CreateRealtimeEndpointResponse', createRealtimeEndpointResponse_httpStatus - The response's http status code.

Response Lenses

createRealtimeEndpointResponse_mLModelId :: Lens' CreateRealtimeEndpointResponse (Maybe Text)

A user-supplied ID that uniquely identifies the MLModel. This value should be identical to the value of the MLModelId in the request.

createRealtimeEndpointResponse_realtimeEndpointInfo :: Lens' CreateRealtimeEndpointResponse (Maybe RealtimeEndpointInfo)

The endpoint information of the MLModel

createRealtimeEndpointResponse_httpStatus :: Lens' CreateRealtimeEndpointResponse Int

The response's http status code.