libZSservicesZSamazonka-mlZSamazonka-ml
Copyright(c) 2013-2021 Brendan Hay
LicenseMozilla Public License, v. 2.0.
MaintainerBrendan Hay <brendan.g.hay+amazonka@gmail.com>
Stabilityauto-generated
Portabilitynon-portable (GHC extensions)
Safe HaskellNone

Amazonka.MachineLearning.Types.RealtimeEndpointInfo

Description

 
Synopsis

Documentation

data RealtimeEndpointInfo Source #

Describes the real-time endpoint information for an MLModel.

See: newRealtimeEndpointInfo smart constructor.

Constructors

RealtimeEndpointInfo' 

Fields

  • createdAt :: Maybe POSIX

    The time that the request to create the real-time endpoint for the MLModel was received. The time is expressed in epoch time.

  • endpointUrl :: Maybe Text

    The URI that specifies where to send real-time prediction requests for the MLModel.

    Note: The application must wait until the real-time endpoint is ready before using this URI.

  • endpointStatus :: Maybe RealtimeEndpointStatus

    The current status of the real-time endpoint for the MLModel. This element can have one of the following values:

    • NONE - Endpoint does not exist or was previously deleted.
    • READY - Endpoint is ready to be used for real-time predictions.
    • UPDATING - Updating/creating the endpoint.
  • peakRequestsPerSecond :: Maybe Int

    The maximum processing rate for the real-time endpoint for MLModel, measured in incoming requests per second.

Instances

Instances details
Eq RealtimeEndpointInfo Source # 
Instance details

Defined in Amazonka.MachineLearning.Types.RealtimeEndpointInfo

Methods

(==) :: RealtimeEndpointInfo -> RealtimeEndpointInfo -> Bool #

(/=) :: RealtimeEndpointInfo -> RealtimeEndpointInfo -> Bool #

Read RealtimeEndpointInfo Source # 
Instance details

Defined in Amazonka.MachineLearning.Types.RealtimeEndpointInfo

Methods

readsPrec :: Int -> ReadS RealtimeEndpointInfo #

readList :: ReadS [RealtimeEndpointInfo] #

readPrec :: ReadPrec RealtimeEndpointInfo #

readListPrec :: ReadPrec [RealtimeEndpointInfo] #

Show RealtimeEndpointInfo Source # 
Instance details

Defined in Amazonka.MachineLearning.Types.RealtimeEndpointInfo

Methods

showsPrec :: Int -> RealtimeEndpointInfo -> ShowS #

show :: RealtimeEndpointInfo -> String #

showList :: [RealtimeEndpointInfo] -> ShowS #

Generic RealtimeEndpointInfo Source # 
Instance details

Defined in Amazonka.MachineLearning.Types.RealtimeEndpointInfo

Associated Types

type Rep RealtimeEndpointInfo :: Type -> Type #

Methods

from :: RealtimeEndpointInfo -> Rep RealtimeEndpointInfo x #

to :: Rep RealtimeEndpointInfo x -> RealtimeEndpointInfo #

NFData RealtimeEndpointInfo Source # 
Instance details

Defined in Amazonka.MachineLearning.Types.RealtimeEndpointInfo

Methods

rnf :: RealtimeEndpointInfo -> () #

Hashable RealtimeEndpointInfo Source # 
Instance details

Defined in Amazonka.MachineLearning.Types.RealtimeEndpointInfo

Methods

hashWithSalt :: Int -> RealtimeEndpointInfo -> Int #

hash :: RealtimeEndpointInfo -> Int #

FromJSON RealtimeEndpointInfo Source # 
Instance details

Defined in Amazonka.MachineLearning.Types.RealtimeEndpointInfo

Methods

parseJSON :: Value -> Parser RealtimeEndpointInfo #

parseJSONList :: Value -> Parser [RealtimeEndpointInfo] #

type Rep RealtimeEndpointInfo Source # 
Instance details

Defined in Amazonka.MachineLearning.Types.RealtimeEndpointInfo

type Rep RealtimeEndpointInfo = D1 ('MetaData "RealtimeEndpointInfo" "Amazonka.MachineLearning.Types.RealtimeEndpointInfo" "libZSservicesZSamazonka-mlZSamazonka-ml" 'False) (C1 ('MetaCons "RealtimeEndpointInfo'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "createdAt") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "endpointUrl") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "endpointStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe RealtimeEndpointStatus)) :*: S1 ('MetaSel ('Just "peakRequestsPerSecond") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Int)))))

newRealtimeEndpointInfo :: RealtimeEndpointInfo Source #

Create a value of RealtimeEndpointInfo 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:createdAt:RealtimeEndpointInfo', realtimeEndpointInfo_createdAt - The time that the request to create the real-time endpoint for the MLModel was received. The time is expressed in epoch time.

$sel:endpointUrl:RealtimeEndpointInfo', realtimeEndpointInfo_endpointUrl - The URI that specifies where to send real-time prediction requests for the MLModel.

Note: The application must wait until the real-time endpoint is ready before using this URI.

$sel:endpointStatus:RealtimeEndpointInfo', realtimeEndpointInfo_endpointStatus - The current status of the real-time endpoint for the MLModel. This element can have one of the following values:

  • NONE - Endpoint does not exist or was previously deleted.
  • READY - Endpoint is ready to be used for real-time predictions.
  • UPDATING - Updating/creating the endpoint.

$sel:peakRequestsPerSecond:RealtimeEndpointInfo', realtimeEndpointInfo_peakRequestsPerSecond - The maximum processing rate for the real-time endpoint for MLModel, measured in incoming requests per second.

realtimeEndpointInfo_createdAt :: Lens' RealtimeEndpointInfo (Maybe UTCTime) Source #

The time that the request to create the real-time endpoint for the MLModel was received. The time is expressed in epoch time.

realtimeEndpointInfo_endpointUrl :: Lens' RealtimeEndpointInfo (Maybe Text) Source #

The URI that specifies where to send real-time prediction requests for the MLModel.

Note: The application must wait until the real-time endpoint is ready before using this URI.

realtimeEndpointInfo_endpointStatus :: Lens' RealtimeEndpointInfo (Maybe RealtimeEndpointStatus) Source #

The current status of the real-time endpoint for the MLModel. This element can have one of the following values:

  • NONE - Endpoint does not exist or was previously deleted.
  • READY - Endpoint is ready to be used for real-time predictions.
  • UPDATING - Updating/creating the endpoint.

realtimeEndpointInfo_peakRequestsPerSecond :: Lens' RealtimeEndpointInfo (Maybe Int) Source #

The maximum processing rate for the real-time endpoint for MLModel, measured in incoming requests per second.