Amazonka.MachineLearning.Types.RealtimeEndpointInfo

Documentation

data RealtimeEndpointInfo

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.

• 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.
• 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.

• peakRequestsPerSecond :: Maybe Int

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

Instances

FromJSON RealtimeEndpointInfo

Defined in Amazonka.MachineLearning.Types.RealtimeEndpointInfo

Methods

parseJSON :: Value -> Parser RealtimeEndpointInfo

parseJSONList :: Value -> Parser [RealtimeEndpointInfo]

Generic RealtimeEndpointInfo

Defined in Amazonka.MachineLearning.Types.RealtimeEndpointInfo

Associated Types

type Rep RealtimeEndpointInfo :: Type -> Type

Methods

from :: RealtimeEndpointInfo -> Rep RealtimeEndpointInfo x

to :: Rep RealtimeEndpointInfo x -> RealtimeEndpointInfo

Read RealtimeEndpointInfo

Defined in Amazonka.MachineLearning.Types.RealtimeEndpointInfo

Methods

readsPrec :: Int -> ReadS RealtimeEndpointInfo

readList :: ReadS [RealtimeEndpointInfo]

readPrec :: ReadPrec RealtimeEndpointInfo

readListPrec :: ReadPrec [RealtimeEndpointInfo]

Show RealtimeEndpointInfo

Defined in Amazonka.MachineLearning.Types.RealtimeEndpointInfo

Methods

showsPrec :: Int -> RealtimeEndpointInfo -> ShowS

show :: RealtimeEndpointInfo -> String

showList :: [RealtimeEndpointInfo] -> ShowS

NFData RealtimeEndpointInfo

Defined in Amazonka.MachineLearning.Types.RealtimeEndpointInfo

Methods

rnf :: RealtimeEndpointInfo -> ()

Eq RealtimeEndpointInfo

Defined in Amazonka.MachineLearning.Types.RealtimeEndpointInfo

Methods

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

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

Hashable RealtimeEndpointInfo

Defined in Amazonka.MachineLearning.Types.RealtimeEndpointInfo

Methods

hashWithSalt :: Int -> RealtimeEndpointInfo -> Int

hash :: RealtimeEndpointInfo -> Int

type Rep RealtimeEndpointInfo

Defined in Amazonka.MachineLearning.Types.RealtimeEndpointInfo

type Rep RealtimeEndpointInfo = D1 ('MetaData "RealtimeEndpointInfo" "Amazonka.MachineLearning.Types.RealtimeEndpointInfo" "amazonka-ml-2.0-A3JLJ63WvmfHxGBBIqhdRA" 'False) (C1 ('MetaCons "RealtimeEndpointInfo'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "createdAt") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "endpointStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe RealtimeEndpointStatus))) :*: (S1 ('MetaSel ('Just "endpointUrl") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "peakRequestsPerSecond") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Int)))))

newRealtimeEndpointInfo :: RealtimeEndpointInfo

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: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: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: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)

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

realtimeEndpointInfo_endpointStatus :: Lens' RealtimeEndpointInfo (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.

realtimeEndpointInfo_endpointUrl :: Lens' RealtimeEndpointInfo (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.

realtimeEndpointInfo_peakRequestsPerSecond :: Lens' RealtimeEndpointInfo (Maybe Int)

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