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AWS Clean Rooms ML Update: This release introduces Parquet result format support for ML Input Channel models in AWS Clean Rooms ML.
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‎.changes/next-release/feature-AWSCleanRoomsML-4eda2a4.json‎

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{
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"type": "feature",
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"category": "AWS Clean Rooms ML",
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"contributor": "",
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"description": "This release introduces Parquet result format support for ML Input Channel models in AWS Clean Rooms ML."
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}

‎services/cleanroomsml/src/main/resources/codegen-resources/service-2.json‎

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},
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"input":{"shape":"CancelTrainedModelRequest"},
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"errors":[
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{"shape":"ValidationException"},
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{"shape":"ConflictException"},
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{"shape":"ValidationException"},
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{"shape":"AccessDeniedException"},
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},
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"input":{"shape":"CancelTrainedModelInferenceJobRequest"},
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"errors":[
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{"shape":"ValidationException"},
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{"shape":"ValidationException"},
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"input":{"shape":"CreateAudienceModelRequest"},
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"output":{"shape":"CreateAudienceModelResponse"},
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"errors":[
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{"shape":"ValidationException"},
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{"shape":"ConflictException"},
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{"shape":"ValidationException"},
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{"shape":"AccessDeniedException"},
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{"shape":"ResourceNotFoundException"},
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{"shape":"ServiceQuotaExceededException"}
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"input":{"shape":"CreateConfiguredAudienceModelRequest"},
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"output":{"shape":"CreateConfiguredAudienceModelResponse"},
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"errors":[
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{"shape":"ValidationException"},
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{"shape":"ValidationException"},
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{"shape":"AccessDeniedException"},
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{"shape":"ServiceQuotaExceededException"}
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"input":{"shape":"CreateConfiguredModelAlgorithmRequest"},
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"output":{"shape":"CreateConfiguredModelAlgorithmResponse"},
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"errors":[
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{"shape":"ValidationException"},
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{"shape":"ConflictException"},
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{"shape":"ValidationException"},
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{"shape":"AccessDeniedException"},
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{"shape":"ServiceQuotaExceededException"}
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],
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"input":{"shape":"CreateConfiguredModelAlgorithmAssociationRequest"},
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"output":{"shape":"CreateConfiguredModelAlgorithmAssociationResponse"},
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"errors":[
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{"shape":"ValidationException"},
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{"shape":"ConflictException"},
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{"shape":"ValidationException"},
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"input":{"shape":"CreateMLInputChannelRequest"},
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"output":{"shape":"CreateMLInputChannelResponse"},
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"errors":[
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{"shape":"ValidationException"},
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{"shape":"ConflictException"},
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{"shape":"ValidationException"},
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{"shape":"AccessDeniedException"},
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{"shape":"ResourceNotFoundException"},
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{"shape":"ThrottlingException"},
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"input":{"shape":"CreateTrainedModelRequest"},
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"output":{"shape":"CreateTrainedModelResponse"},
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"errors":[
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{"shape":"ValidationException"},
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{"shape":"ConflictException"},
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{"shape":"ValidationException"},
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{"shape":"AccessDeniedException"},
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{"shape":"ResourceNotFoundException"},
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{"shape":"ThrottlingException"},
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{"shape":"InternalServiceException"},
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{"shape":"ThrottlingException"},
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{"shape":"ServiceQuotaExceededException"}
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],
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"documentation":"<p>Creates a trained model from an associated configured model algorithm using data from any member of the collaboration.</p>",
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"input":{"shape":"CreateTrainingDatasetRequest"},
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"output":{"shape":"CreateTrainingDatasetResponse"},
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"errors":[
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{"shape":"ValidationException"},
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{"shape":"ConflictException"},
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{"shape":"ValidationException"},
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{"shape":"AccessDeniedException"}
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],
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"documentation":"<p>Defines the information necessary to create a training dataset. In Clean Rooms ML, the <code>TrainingDataset</code> is metadata that points to a Glue table, which is read only during <code>AudienceModel</code> creation.</p>",
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},
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"input":{"shape":"DeleteAudienceGenerationJobRequest"},
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"errors":[
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],
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},
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"input":{"shape":"DeleteAudienceModelRequest"},
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"errors":[
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},
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"input":{"shape":"DeleteConfiguredAudienceModelRequest"},
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},
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"input":{"shape":"DeleteConfiguredModelAlgorithmRequest"},
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"errors":[
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},
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"input":{"shape":"DeleteConfiguredModelAlgorithmAssociationRequest"},
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"errors":[
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},
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"input":{"shape":"DeleteMLInputChannelDataRequest"},
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"errors":[
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},
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"input":{"shape":"DeleteTrainedModelOutputRequest"},
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"errors":[
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},
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"input":{"shape":"DeleteTrainingDatasetRequest"},
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"errors":[
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},
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"input":{"shape":"StartAudienceExportJobRequest"},
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"errors":[
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"input":{"shape":"StartAudienceGenerationJobRequest"},
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"errors":[
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"input":{"shape":"StartTrainedModelExportJobRequest"},
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"errors":[
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"input":{"shape":"StartTrainedModelInferenceJobRequest"},
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"output":{"shape":"StartTrainedModelInferenceJobResponse"},
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"errors":[
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"input":{"shape":"UpdateConfiguredAudienceModelRequest"},
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"errors":[
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"computeConfiguration":{
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"shape":"ComputeConfiguration",
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"documentation":"<p>Provides configuration information for the workers that will perform the protected query.</p>"
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},
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"resultFormat":{
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"shape":"ResultFormat",
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"documentation":"<p>The format in which the query results should be returned. If not specified, defaults to <code>CSV</code>. </p>"
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}
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},
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"documentation":"<p>Provides information necessary to perform the protected query.</p>"
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"max":20480,
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"min":1
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},
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"ResultFormat":{
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"type":"string",
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"documentation":"<p>File format of the returned data.</p>",
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"enum":[
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"CSV",
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"PARQUET"
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]
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},
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"S3ConfigMap":{
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"type":"structure",
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"required":["s3Uri"],

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