amazonka-lookoutequipment-2.0: Amazon Lookout for Equipment 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.LookoutEquipment.Types.InferenceSchedulerSummary

Description

 
Synopsis

Documentation

data InferenceSchedulerSummary Source #

Contains information about the specific inference scheduler, including data delay offset, model name and ARN, status, and so on.

See: newInferenceSchedulerSummary smart constructor.

Constructors

InferenceSchedulerSummary' 

Fields

  • dataDelayOffsetInMinutes :: Maybe Natural

    A period of time (in minutes) by which inference on the data is delayed after the data starts. For instance, if an offset delay time of five minutes was selected, inference will not begin on the data until the first data measurement after the five minute mark. For example, if five minutes is selected, the inference scheduler will wake up at the configured frequency with the additional five minute delay time to check the customer S3 bucket. The customer can upload data at the same frequency and they don't need to stop and restart the scheduler when uploading new data.

  • dataUploadFrequency :: Maybe DataUploadFrequency

    How often data is uploaded to the source S3 bucket for the input data. This value is the length of time between data uploads. For instance, if you select 5 minutes, Amazon Lookout for Equipment will upload the real-time data to the source bucket once every 5 minutes. This frequency also determines how often Amazon Lookout for Equipment starts a scheduled inference on your data. In this example, it starts once every 5 minutes.

  • inferenceSchedulerArn :: Maybe Text

    The Amazon Resource Name (ARN) of the inference scheduler.

  • inferenceSchedulerName :: Maybe Text

    The name of the inference scheduler.

  • latestInferenceResult :: Maybe LatestInferenceResult

    Indicates whether the latest execution for the inference scheduler was Anomalous (anomalous events found) or Normal (no anomalous events found).

  • modelArn :: Maybe Text

    The Amazon Resource Name (ARN) of the ML model used by the inference scheduler.

  • modelName :: Maybe Text

    The name of the ML model used for the inference scheduler.

  • status :: Maybe InferenceSchedulerStatus

    Indicates the status of the inference scheduler.

Instances

Instances details
FromJSON InferenceSchedulerSummary Source # 
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Generic InferenceSchedulerSummary Source # 
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Associated Types

type Rep InferenceSchedulerSummary :: Type -> Type #

Read InferenceSchedulerSummary Source # 
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Show InferenceSchedulerSummary Source # 
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NFData InferenceSchedulerSummary Source # 
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Eq InferenceSchedulerSummary Source # 
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Hashable InferenceSchedulerSummary Source # 
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type Rep InferenceSchedulerSummary Source # 
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Defined in Amazonka.LookoutEquipment.Types.InferenceSchedulerSummary

type Rep InferenceSchedulerSummary = D1 ('MetaData "InferenceSchedulerSummary" "Amazonka.LookoutEquipment.Types.InferenceSchedulerSummary" "amazonka-lookoutequipment-2.0-FBtgEViQ46F6elHeNaa8oC" 'False) (C1 ('MetaCons "InferenceSchedulerSummary'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "dataDelayOffsetInMinutes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: S1 ('MetaSel ('Just "dataUploadFrequency") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DataUploadFrequency))) :*: (S1 ('MetaSel ('Just "inferenceSchedulerArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "inferenceSchedulerName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :*: ((S1 ('MetaSel ('Just "latestInferenceResult") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe LatestInferenceResult)) :*: S1 ('MetaSel ('Just "modelArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "modelName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe InferenceSchedulerStatus))))))

newInferenceSchedulerSummary :: InferenceSchedulerSummary Source #

Create a value of InferenceSchedulerSummary 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:dataDelayOffsetInMinutes:InferenceSchedulerSummary', inferenceSchedulerSummary_dataDelayOffsetInMinutes - A period of time (in minutes) by which inference on the data is delayed after the data starts. For instance, if an offset delay time of five minutes was selected, inference will not begin on the data until the first data measurement after the five minute mark. For example, if five minutes is selected, the inference scheduler will wake up at the configured frequency with the additional five minute delay time to check the customer S3 bucket. The customer can upload data at the same frequency and they don't need to stop and restart the scheduler when uploading new data.

$sel:dataUploadFrequency:InferenceSchedulerSummary', inferenceSchedulerSummary_dataUploadFrequency - How often data is uploaded to the source S3 bucket for the input data. This value is the length of time between data uploads. For instance, if you select 5 minutes, Amazon Lookout for Equipment will upload the real-time data to the source bucket once every 5 minutes. This frequency also determines how often Amazon Lookout for Equipment starts a scheduled inference on your data. In this example, it starts once every 5 minutes.

$sel:inferenceSchedulerArn:InferenceSchedulerSummary', inferenceSchedulerSummary_inferenceSchedulerArn - The Amazon Resource Name (ARN) of the inference scheduler.

$sel:inferenceSchedulerName:InferenceSchedulerSummary', inferenceSchedulerSummary_inferenceSchedulerName - The name of the inference scheduler.

$sel:latestInferenceResult:InferenceSchedulerSummary', inferenceSchedulerSummary_latestInferenceResult - Indicates whether the latest execution for the inference scheduler was Anomalous (anomalous events found) or Normal (no anomalous events found).

$sel:modelArn:InferenceSchedulerSummary', inferenceSchedulerSummary_modelArn - The Amazon Resource Name (ARN) of the ML model used by the inference scheduler.

$sel:modelName:InferenceSchedulerSummary', inferenceSchedulerSummary_modelName - The name of the ML model used for the inference scheduler.

$sel:status:InferenceSchedulerSummary', inferenceSchedulerSummary_status - Indicates the status of the inference scheduler.

inferenceSchedulerSummary_dataDelayOffsetInMinutes :: Lens' InferenceSchedulerSummary (Maybe Natural) Source #

A period of time (in minutes) by which inference on the data is delayed after the data starts. For instance, if an offset delay time of five minutes was selected, inference will not begin on the data until the first data measurement after the five minute mark. For example, if five minutes is selected, the inference scheduler will wake up at the configured frequency with the additional five minute delay time to check the customer S3 bucket. The customer can upload data at the same frequency and they don't need to stop and restart the scheduler when uploading new data.

inferenceSchedulerSummary_dataUploadFrequency :: Lens' InferenceSchedulerSummary (Maybe DataUploadFrequency) Source #

How often data is uploaded to the source S3 bucket for the input data. This value is the length of time between data uploads. For instance, if you select 5 minutes, Amazon Lookout for Equipment will upload the real-time data to the source bucket once every 5 minutes. This frequency also determines how often Amazon Lookout for Equipment starts a scheduled inference on your data. In this example, it starts once every 5 minutes.

inferenceSchedulerSummary_inferenceSchedulerArn :: Lens' InferenceSchedulerSummary (Maybe Text) Source #

The Amazon Resource Name (ARN) of the inference scheduler.

inferenceSchedulerSummary_latestInferenceResult :: Lens' InferenceSchedulerSummary (Maybe LatestInferenceResult) Source #

Indicates whether the latest execution for the inference scheduler was Anomalous (anomalous events found) or Normal (no anomalous events found).

inferenceSchedulerSummary_modelArn :: Lens' InferenceSchedulerSummary (Maybe Text) Source #

The Amazon Resource Name (ARN) of the ML model used by the inference scheduler.

inferenceSchedulerSummary_modelName :: Lens' InferenceSchedulerSummary (Maybe Text) Source #

The name of the ML model used for the inference scheduler.