libZSservicesZSamazonka-lookoutequipmentZSamazonka-lookoutequipment
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.LookoutEquipment.CreateInferenceScheduler

Description

Creates a scheduled inference. Scheduling an inference is setting up a continuous real-time inference plan to analyze new measurement data. When setting up the schedule, you provide an S3 bucket location for the input data, assign it a delimiter between separate entries in the data, set an offset delay if desired, and set the frequency of inferencing. You must also provide an S3 bucket location for the output data.

Synopsis

Creating a Request

data CreateInferenceScheduler Source #

See: newCreateInferenceScheduler smart constructor.

Constructors

CreateInferenceScheduler' 

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 you select an offset delay time of five minutes, 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.

  • tags :: Maybe [Tag]

    Any tags associated with the inference scheduler.

  • serverSideKmsKeyId :: Maybe Text

    Provides the identifier of the KMS key used to encrypt inference scheduler data by Amazon Lookout for Equipment.

  • modelName :: Text

    The name of the previously trained ML model being used to create the inference scheduler.

  • inferenceSchedulerName :: Text

    The name of the inference scheduler being created.

  • dataUploadFrequency :: DataUploadFrequency

    How often data is uploaded to the source S3 bucket for the input data. The value chosen 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.

  • dataInputConfiguration :: InferenceInputConfiguration

    Specifies configuration information for the input data for the inference scheduler, including delimiter, format, and dataset location.

  • dataOutputConfiguration :: InferenceOutputConfiguration

    Specifies configuration information for the output results for the inference scheduler, including the S3 location for the output.

  • roleArn :: Text

    The Amazon Resource Name (ARN) of a role with permission to access the data source being used for the inference.

  • clientToken :: Text

    A unique identifier for the request. If you do not set the client request token, Amazon Lookout for Equipment generates one.

Instances

Instances details
Eq CreateInferenceScheduler Source # 
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Read CreateInferenceScheduler Source # 
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Show CreateInferenceScheduler Source # 
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Generic CreateInferenceScheduler Source # 
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Associated Types

type Rep CreateInferenceScheduler :: Type -> Type #

NFData CreateInferenceScheduler Source # 
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Hashable CreateInferenceScheduler Source # 
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ToJSON CreateInferenceScheduler Source # 
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AWSRequest CreateInferenceScheduler Source # 
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ToHeaders CreateInferenceScheduler Source # 
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ToPath CreateInferenceScheduler Source # 
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ToQuery CreateInferenceScheduler Source # 
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type Rep CreateInferenceScheduler Source # 
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type Rep CreateInferenceScheduler = D1 ('MetaData "CreateInferenceScheduler" "Amazonka.LookoutEquipment.CreateInferenceScheduler" "libZSservicesZSamazonka-lookoutequipmentZSamazonka-lookoutequipment" 'False) (C1 ('MetaCons "CreateInferenceScheduler'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "dataDelayOffsetInMinutes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: S1 ('MetaSel ('Just "tags") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Tag]))) :*: (S1 ('MetaSel ('Just "serverSideKmsKeyId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "modelName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "inferenceSchedulerName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))) :*: ((S1 ('MetaSel ('Just "dataUploadFrequency") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 DataUploadFrequency) :*: S1 ('MetaSel ('Just "dataInputConfiguration") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 InferenceInputConfiguration)) :*: (S1 ('MetaSel ('Just "dataOutputConfiguration") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 InferenceOutputConfiguration) :*: (S1 ('MetaSel ('Just "roleArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "clientToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))))
type AWSResponse CreateInferenceScheduler Source # 
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Defined in Amazonka.LookoutEquipment.CreateInferenceScheduler

newCreateInferenceScheduler Source #

Create a value of CreateInferenceScheduler 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:CreateInferenceScheduler', createInferenceScheduler_dataDelayOffsetInMinutes - A period of time (in minutes) by which inference on the data is delayed after the data starts. For instance, if you select an offset delay time of five minutes, 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:tags:CreateInferenceScheduler', createInferenceScheduler_tags - Any tags associated with the inference scheduler.

$sel:serverSideKmsKeyId:CreateInferenceScheduler', createInferenceScheduler_serverSideKmsKeyId - Provides the identifier of the KMS key used to encrypt inference scheduler data by Amazon Lookout for Equipment.

$sel:modelName:CreateInferenceScheduler', createInferenceScheduler_modelName - The name of the previously trained ML model being used to create the inference scheduler.

$sel:inferenceSchedulerName:CreateInferenceScheduler', createInferenceScheduler_inferenceSchedulerName - The name of the inference scheduler being created.

$sel:dataUploadFrequency:CreateInferenceScheduler', createInferenceScheduler_dataUploadFrequency - How often data is uploaded to the source S3 bucket for the input data. The value chosen 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:dataInputConfiguration:CreateInferenceScheduler', createInferenceScheduler_dataInputConfiguration - Specifies configuration information for the input data for the inference scheduler, including delimiter, format, and dataset location.

$sel:dataOutputConfiguration:CreateInferenceScheduler', createInferenceScheduler_dataOutputConfiguration - Specifies configuration information for the output results for the inference scheduler, including the S3 location for the output.

$sel:roleArn:CreateInferenceScheduler', createInferenceScheduler_roleArn - The Amazon Resource Name (ARN) of a role with permission to access the data source being used for the inference.

$sel:clientToken:CreateInferenceScheduler', createInferenceScheduler_clientToken - A unique identifier for the request. If you do not set the client request token, Amazon Lookout for Equipment generates one.

Request Lenses

createInferenceScheduler_dataDelayOffsetInMinutes :: Lens' CreateInferenceScheduler (Maybe Natural) Source #

A period of time (in minutes) by which inference on the data is delayed after the data starts. For instance, if you select an offset delay time of five minutes, 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.

createInferenceScheduler_tags :: Lens' CreateInferenceScheduler (Maybe [Tag]) Source #

Any tags associated with the inference scheduler.

createInferenceScheduler_serverSideKmsKeyId :: Lens' CreateInferenceScheduler (Maybe Text) Source #

Provides the identifier of the KMS key used to encrypt inference scheduler data by Amazon Lookout for Equipment.

createInferenceScheduler_modelName :: Lens' CreateInferenceScheduler Text Source #

The name of the previously trained ML model being used to create the inference scheduler.

createInferenceScheduler_inferenceSchedulerName :: Lens' CreateInferenceScheduler Text Source #

The name of the inference scheduler being created.

createInferenceScheduler_dataUploadFrequency :: Lens' CreateInferenceScheduler DataUploadFrequency Source #

How often data is uploaded to the source S3 bucket for the input data. The value chosen 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.

createInferenceScheduler_dataInputConfiguration :: Lens' CreateInferenceScheduler InferenceInputConfiguration Source #

Specifies configuration information for the input data for the inference scheduler, including delimiter, format, and dataset location.

createInferenceScheduler_dataOutputConfiguration :: Lens' CreateInferenceScheduler InferenceOutputConfiguration Source #

Specifies configuration information for the output results for the inference scheduler, including the S3 location for the output.

createInferenceScheduler_roleArn :: Lens' CreateInferenceScheduler Text Source #

The Amazon Resource Name (ARN) of a role with permission to access the data source being used for the inference.

createInferenceScheduler_clientToken :: Lens' CreateInferenceScheduler Text Source #

A unique identifier for the request. If you do not set the client request token, Amazon Lookout for Equipment generates one.

Destructuring the Response

data CreateInferenceSchedulerResponse Source #

See: newCreateInferenceSchedulerResponse smart constructor.

Constructors

CreateInferenceSchedulerResponse' 

Fields

Instances

Instances details
Eq CreateInferenceSchedulerResponse Source # 
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Read CreateInferenceSchedulerResponse Source # 
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Show CreateInferenceSchedulerResponse Source # 
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Generic CreateInferenceSchedulerResponse Source # 
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Associated Types

type Rep CreateInferenceSchedulerResponse :: Type -> Type #

NFData CreateInferenceSchedulerResponse Source # 
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type Rep CreateInferenceSchedulerResponse Source # 
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type Rep CreateInferenceSchedulerResponse = D1 ('MetaData "CreateInferenceSchedulerResponse" "Amazonka.LookoutEquipment.CreateInferenceScheduler" "libZSservicesZSamazonka-lookoutequipmentZSamazonka-lookoutequipment" 'False) (C1 ('MetaCons "CreateInferenceSchedulerResponse'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe InferenceSchedulerStatus)) :*: S1 ('MetaSel ('Just "inferenceSchedulerArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "inferenceSchedulerName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int))))

newCreateInferenceSchedulerResponse Source #

Create a value of CreateInferenceSchedulerResponse 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:status:CreateInferenceSchedulerResponse', createInferenceSchedulerResponse_status - Indicates the status of the CreateInferenceScheduler operation.

$sel:inferenceSchedulerArn:CreateInferenceSchedulerResponse', createInferenceSchedulerResponse_inferenceSchedulerArn - The Amazon Resource Name (ARN) of the inference scheduler being created.

$sel:inferenceSchedulerName:CreateInferenceScheduler', createInferenceSchedulerResponse_inferenceSchedulerName - The name of inference scheduler being created.

$sel:httpStatus:CreateInferenceSchedulerResponse', createInferenceSchedulerResponse_httpStatus - The response's http status code.

Response Lenses

createInferenceSchedulerResponse_inferenceSchedulerArn :: Lens' CreateInferenceSchedulerResponse (Maybe Text) Source #

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