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.UpdateDatasetEntries

Description

Adds one or more JSON Line entries to a dataset. A JSON Line includes information about an image used for training or testing an Amazon Lookout for Vision model. The following is an example JSON Line.

Updating a dataset might take a while to complete. To check the current status, call DescribeDataset and check the Status field in the response.

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

Synopsis

Creating a Request

data UpdateDatasetEntries Source #

See: newUpdateDatasetEntries smart constructor.

Constructors

UpdateDatasetEntries' 

Fields

  • clientToken :: Maybe Text

    ClientToken is an idempotency token that ensures a call to UpdateDatasetEntries 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 UpdateDatasetEntries. In this case, safely retry your call to UpdateDatasetEntries 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 UpdateDatasetEntries. An idempotency token is active for 8 hours.

  • projectName :: Text

    The name of the project that contains the dataset that you want to update.

  • datasetType :: Text

    The type of the dataset that you want to update. Specify train to update the training dataset. Specify test to update the test dataset. If you have a single dataset project, specify train.

  • changes :: Base64

    The entries to add to the dataset.

Instances

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

type Rep UpdateDatasetEntries :: Type -> Type #

NFData UpdateDatasetEntries Source # 
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Methods

rnf :: UpdateDatasetEntries -> () #

Hashable UpdateDatasetEntries Source # 
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ToJSON UpdateDatasetEntries Source # 
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AWSRequest UpdateDatasetEntries Source # 
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Associated Types

type AWSResponse UpdateDatasetEntries #

ToHeaders UpdateDatasetEntries Source # 
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ToPath UpdateDatasetEntries Source # 
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ToQuery UpdateDatasetEntries Source # 
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type Rep UpdateDatasetEntries Source # 
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type Rep UpdateDatasetEntries = D1 ('MetaData "UpdateDatasetEntries" "Amazonka.LookoutVision.UpdateDatasetEntries" "libZSservicesZSamazonka-lookoutvisionZSamazonka-lookoutvision" 'False) (C1 ('MetaCons "UpdateDatasetEntries'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "clientToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "projectName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)) :*: (S1 ('MetaSel ('Just "datasetType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "changes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Base64))))
type AWSResponse UpdateDatasetEntries Source # 
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newUpdateDatasetEntries Source #

Create a value of UpdateDatasetEntries 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:UpdateDatasetEntries', updateDatasetEntries_clientToken - ClientToken is an idempotency token that ensures a call to UpdateDatasetEntries 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 UpdateDatasetEntries. In this case, safely retry your call to UpdateDatasetEntries 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 UpdateDatasetEntries. An idempotency token is active for 8 hours.

$sel:projectName:UpdateDatasetEntries', updateDatasetEntries_projectName - The name of the project that contains the dataset that you want to update.

$sel:datasetType:UpdateDatasetEntries', updateDatasetEntries_datasetType - The type of the dataset that you want to update. Specify train to update the training dataset. Specify test to update the test dataset. If you have a single dataset project, specify train.

$sel:changes:UpdateDatasetEntries', updateDatasetEntries_changes - The entries to add to the dataset.-- -- Note: This Lens automatically encodes and decodes Base64 data. -- The underlying isomorphism will encode to Base64 representation during -- serialisation, and decode from Base64 representation during deserialisation. -- This Lens accepts and returns only raw unencoded data.

Request Lenses

updateDatasetEntries_clientToken :: Lens' UpdateDatasetEntries (Maybe Text) Source #

ClientToken is an idempotency token that ensures a call to UpdateDatasetEntries 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 UpdateDatasetEntries. In this case, safely retry your call to UpdateDatasetEntries 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 UpdateDatasetEntries. An idempotency token is active for 8 hours.

updateDatasetEntries_projectName :: Lens' UpdateDatasetEntries Text Source #

The name of the project that contains the dataset that you want to update.

updateDatasetEntries_datasetType :: Lens' UpdateDatasetEntries Text Source #

The type of the dataset that you want to update. Specify train to update the training dataset. Specify test to update the test dataset. If you have a single dataset project, specify train.

updateDatasetEntries_changes :: Lens' UpdateDatasetEntries ByteString Source #

The entries to add to the dataset.-- -- Note: This Lens automatically encodes and decodes Base64 data. -- The underlying isomorphism will encode to Base64 representation during -- serialisation, and decode from Base64 representation during deserialisation. -- This Lens accepts and returns only raw unencoded data.

Destructuring the Response

data UpdateDatasetEntriesResponse Source #

See: newUpdateDatasetEntriesResponse smart constructor.

Constructors

UpdateDatasetEntriesResponse' 

Fields

Instances

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

type Rep UpdateDatasetEntriesResponse :: Type -> Type #

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

newUpdateDatasetEntriesResponse Source #

Create a value of UpdateDatasetEntriesResponse 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:UpdateDatasetEntriesResponse', updateDatasetEntriesResponse_status - The status of the dataset update.

$sel:httpStatus:UpdateDatasetEntriesResponse', updateDatasetEntriesResponse_httpStatus - The response's http status code.

Response Lenses