libZSservicesZSamazonka-lookoutvisionZSamazonka-lookoutvision
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.LookoutVision.StartModel

Description

Starts the running of the version of an Amazon Lookout for Vision model. Starting a model takes a while to complete. To check the current state of the model, use DescribeModel.

A model is ready to use when its status is HOSTED.

Once the model is running, you can detect custom labels in new images by calling DetectAnomalies.

You are charged for the amount of time that the model is running. To stop a running model, call StopModel.

This operation requires permissions to perform the lookoutvision:StartModel operation.

Synopsis

Creating a Request

data StartModel Source #

See: newStartModel smart constructor.

Constructors

StartModel' 

Fields

  • clientToken :: Maybe Text

    ClientToken is an idempotency token that ensures a call to StartModel completes only once. You choose the value to pass. For example, An issue, such as an network outage, might prevent you from getting a response from StartModel. In this case, safely retry your call to StartModel by using the same ClientToken parameter value. An error occurs if the other input parameters are not the same as in the first request. Using a different value for ClientToken is considered a new call to StartModel. An idempotency token is active for 8 hours.

  • projectName :: Text

    The name of the project that contains the model that you want to start.

  • modelVersion :: Text

    The version of the model that you want to start.

  • minInferenceUnits :: Natural

    The minimum number of inference units to use. A single inference unit represents 1 hour of processing and can support up to 5 Transaction Pers Second (TPS). Use a higher number to increase the TPS throughput of your model. You are charged for the number of inference units that you use.

Instances

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Eq StartModel Source # 
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Read StartModel Source # 
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Show StartModel Source # 
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Generic StartModel Source # 
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Associated Types

type Rep StartModel :: Type -> Type #

NFData StartModel Source # 
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Methods

rnf :: StartModel -> () #

Hashable StartModel Source # 
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ToJSON StartModel Source # 
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AWSRequest StartModel Source # 
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Associated Types

type AWSResponse StartModel #

ToHeaders StartModel Source # 
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Methods

toHeaders :: StartModel -> [Header] #

ToPath StartModel Source # 
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ToQuery StartModel Source # 
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type Rep StartModel Source # 
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type Rep StartModel = D1 ('MetaData "StartModel" "Amazonka.LookoutVision.StartModel" "libZSservicesZSamazonka-lookoutvisionZSamazonka-lookoutvision" 'False) (C1 ('MetaCons "StartModel'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "clientToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "projectName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)) :*: (S1 ('MetaSel ('Just "modelVersion") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "minInferenceUnits") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Natural))))
type AWSResponse StartModel Source # 
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newStartModel Source #

Create a value of StartModel 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:clientToken:StartModel', startModel_clientToken - ClientToken is an idempotency token that ensures a call to StartModel completes only once. You choose the value to pass. For example, An issue, such as an network outage, might prevent you from getting a response from StartModel. In this case, safely retry your call to StartModel by using the same ClientToken parameter value. An error occurs if the other input parameters are not the same as in the first request. Using a different value for ClientToken is considered a new call to StartModel. An idempotency token is active for 8 hours.

$sel:projectName:StartModel', startModel_projectName - The name of the project that contains the model that you want to start.

$sel:modelVersion:StartModel', startModel_modelVersion - The version of the model that you want to start.

$sel:minInferenceUnits:StartModel', startModel_minInferenceUnits - The minimum number of inference units to use. A single inference unit represents 1 hour of processing and can support up to 5 Transaction Pers Second (TPS). Use a higher number to increase the TPS throughput of your model. You are charged for the number of inference units that you use.

Request Lenses

startModel_clientToken :: Lens' StartModel (Maybe Text) Source #

ClientToken is an idempotency token that ensures a call to StartModel completes only once. You choose the value to pass. For example, An issue, such as an network outage, might prevent you from getting a response from StartModel. In this case, safely retry your call to StartModel by using the same ClientToken parameter value. An error occurs if the other input parameters are not the same as in the first request. Using a different value for ClientToken is considered a new call to StartModel. An idempotency token is active for 8 hours.

startModel_projectName :: Lens' StartModel Text Source #

The name of the project that contains the model that you want to start.

startModel_modelVersion :: Lens' StartModel Text Source #

The version of the model that you want to start.

startModel_minInferenceUnits :: Lens' StartModel Natural Source #

The minimum number of inference units to use. A single inference unit represents 1 hour of processing and can support up to 5 Transaction Pers Second (TPS). Use a higher number to increase the TPS throughput of your model. You are charged for the number of inference units that you use.

Destructuring the Response

data StartModelResponse Source #

See: newStartModelResponse smart constructor.

Constructors

StartModelResponse' 

Fields

Instances

Instances details
Eq StartModelResponse Source # 
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Read StartModelResponse Source # 
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Show StartModelResponse Source # 
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Generic StartModelResponse Source # 
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type Rep StartModelResponse :: Type -> Type #

NFData StartModelResponse Source # 
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Methods

rnf :: StartModelResponse -> () #

type Rep StartModelResponse Source # 
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type Rep StartModelResponse = D1 ('MetaData "StartModelResponse" "Amazonka.LookoutVision.StartModel" "libZSservicesZSamazonka-lookoutvisionZSamazonka-lookoutvision" 'False) (C1 ('MetaCons "StartModelResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ModelHostingStatus)) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))

newStartModelResponse Source #

Create a value of StartModelResponse 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:StartModelResponse', startModelResponse_status - The current running status of the model.

$sel:httpStatus:StartModelResponse', startModelResponse_httpStatus - The response's http status code.

Response Lenses