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Release v1.25.47 (2019-12-04) (#2987)
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Release v1.25.47 (2019-12-04)
===

### Service Client Updates
* `service/application-autoscaling`: Updates service API and documentation
* `service/ebs`: Adds new service
* `service/lambda`: Updates service API, documentation, and paginators
  * - Added the ProvisionedConcurrency type and operations. Allocate provisioned concurrency to enable your function to scale up without fluctuations in latency. Use PutProvisionedConcurrencyConfig to configure provisioned concurrency on a version of a function, or on an alias.
* `service/rds`: Updates service API, documentation, and paginators
  * This release adds support for the Amazon RDS Proxy
* `service/rekognition`: Updates service API, documentation, waiters, and paginators
  * This SDK Release introduces APIs for Amazon Rekognition Custom Labels feature (CreateProjects, CreateProjectVersion,DescribeProjects, DescribeProjectVersions, StartProjectVersion, StopProjectVersion and DetectCustomLabels).  Also new is  AugmentedAI (Human In The Loop) Support for DetectModerationLabels in Amazon Rekognition.
* `service/sagemaker`: Updates service API, documentation, waiters, and paginators
  * You can now use SageMaker Autopilot for automatically training and tuning candidate models using a combination of various feature engineering, ML algorithms, and hyperparameters determined from the user's input data. SageMaker Automatic Model Tuning now supports tuning across multiple algorithms. With Amazon SageMaker Experiments users can create Experiments, ExperimentTrials, and ExperimentTrialComponents to track, organize, and evaluate their ML training jobs. With Amazon SageMaker Debugger, users can easily debug training jobs using a number of pre-built rules provided by Amazon SageMaker, or build custom rules. With Amazon SageMaker Processing, users can run on-demand, distributed, and fully managed jobs for data pre- or post- processing or model evaluation. With Amazon SageMaker Model Monitor, a user can create MonitoringSchedules to automatically monitor endpoints to detect data drift and other issues and get alerted on them. This release also includes the preview version of Amazon SageMaker Studio with Domains, UserProfiles, and Apps. This release also includes the preview version of Amazon Augmented AI to easily implement human review of machine learning predictions by creating FlowDefinitions, HumanTaskUis, and HumanLoops.
* `service/states`: Updates service API and documentation
  * This release of the AWS Step Functions SDK introduces support for Express Workflows.
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aws-sdk-go-automation committed Dec 4, 2019
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17 changes: 17 additions & 0 deletions CHANGELOG.md
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@@ -1,3 +1,20 @@
Release v1.25.47 (2019-12-04)
===

### Service Client Updates
* `service/application-autoscaling`: Updates service API and documentation
* `service/ebs`: Adds new service
* `service/lambda`: Updates service API, documentation, and paginators
* - Added the ProvisionedConcurrency type and operations. Allocate provisioned concurrency to enable your function to scale up without fluctuations in latency. Use PutProvisionedConcurrencyConfig to configure provisioned concurrency on a version of a function, or on an alias.
* `service/rds`: Updates service API, documentation, and paginators
* This release adds support for the Amazon RDS Proxy
* `service/rekognition`: Updates service API, documentation, waiters, and paginators
* This SDK Release introduces APIs for Amazon Rekognition Custom Labels feature (CreateProjects, CreateProjectVersion,DescribeProjects, DescribeProjectVersions, StartProjectVersion, StopProjectVersion and DetectCustomLabels). Also new is AugmentedAI (Human In The Loop) Support for DetectModerationLabels in Amazon Rekognition.
* `service/sagemaker`: Updates service API, documentation, waiters, and paginators
* You can now use SageMaker Autopilot for automatically training and tuning candidate models using a combination of various feature engineering, ML algorithms, and hyperparameters determined from the user's input data. SageMaker Automatic Model Tuning now supports tuning across multiple algorithms. With Amazon SageMaker Experiments users can create Experiments, ExperimentTrials, and ExperimentTrialComponents to track, organize, and evaluate their ML training jobs. With Amazon SageMaker Debugger, users can easily debug training jobs using a number of pre-built rules provided by Amazon SageMaker, or build custom rules. With Amazon SageMaker Processing, users can run on-demand, distributed, and fully managed jobs for data pre- or post- processing or model evaluation. With Amazon SageMaker Model Monitor, a user can create MonitoringSchedules to automatically monitor endpoints to detect data drift and other issues and get alerted on them. This release also includes the preview version of Amazon SageMaker Studio with Domains, UserProfiles, and Apps. This release also includes the preview version of Amazon Augmented AI to easily implement human review of machine learning predictions by creating FlowDefinitions, HumanTaskUis, and HumanLoops.
* `service/states`: Updates service API and documentation
* This release of the AWS Step Functions SDK introduces support for Express Workflows.

Release v1.25.46 (2019-12-03)
===

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2 changes: 1 addition & 1 deletion aws/version.go
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Expand Up @@ -5,4 +5,4 @@ package aws
const SDKName = "aws-sdk-go"

// SDKVersion is the version of this SDK
const SDKVersion = "1.25.46"
const SDKVersion = "1.25.47"
9 changes: 6 additions & 3 deletions models/apis/application-autoscaling/2016-02-06/api-2.json
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Expand Up @@ -431,7 +431,8 @@
"ECSServiceAverageCPUUtilization",
"ECSServiceAverageMemoryUtilization",
"AppStreamAverageCapacityUtilization",
"ComprehendInferenceUtilization"
"ComprehendInferenceUtilization",
"LambdaProvisionedConcurrencyUtilization"
]
},
"MetricUnit":{"type":"string"},
Expand Down Expand Up @@ -570,7 +571,8 @@
"rds:cluster:ReadReplicaCount",
"sagemaker:variant:DesiredInstanceCount",
"custom-resource:ResourceType:Property",
"comprehend:document-classifier-endpoint:DesiredInferenceUnits"
"comprehend:document-classifier-endpoint:DesiredInferenceUnits",
"lambda:function:ProvisionedConcurrency"
]
},
"ScalableTarget":{
Expand Down Expand Up @@ -721,7 +723,8 @@
"rds",
"sagemaker",
"custom-resource",
"comprehend"
"comprehend",
"lambda"
]
},
"StepAdjustment":{
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60 changes: 30 additions & 30 deletions models/apis/application-autoscaling/2016-02-06/docs-2.json

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277 changes: 277 additions & 0 deletions models/apis/ebs/2019-11-02/api-2.json
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@@ -0,0 +1,277 @@
{
"version":"2.0",
"metadata":{
"apiVersion":"2019-11-02",
"endpointPrefix":"ebs",
"jsonVersion":"1.1",
"protocol":"rest-json",
"serviceAbbreviation":"Amazon EBS",
"serviceFullName":"Amazon Elastic Block Store",
"serviceId":"EBS",
"signatureVersion":"v4",
"uid":"ebs-2019-11-02"
},
"operations":{
"GetSnapshotBlock":{
"name":"GetSnapshotBlock",
"http":{
"method":"GET",
"requestUri":"/snapshots/{snapshotId}/blocks/{blockIndex}"
},
"input":{"shape":"GetSnapshotBlockRequest"},
"output":{"shape":"GetSnapshotBlockResponse"},
"errors":[
{"shape":"ValidationException"},
{"shape":"ResourceNotFoundException"}
]
},
"ListChangedBlocks":{
"name":"ListChangedBlocks",
"http":{
"method":"GET",
"requestUri":"/snapshots/{secondSnapshotId}/changedblocks"
},
"input":{"shape":"ListChangedBlocksRequest"},
"output":{"shape":"ListChangedBlocksResponse"},
"errors":[
{"shape":"ValidationException"},
{"shape":"ResourceNotFoundException"}
]
},
"ListSnapshotBlocks":{
"name":"ListSnapshotBlocks",
"http":{
"method":"GET",
"requestUri":"/snapshots/{snapshotId}/blocks"
},
"input":{"shape":"ListSnapshotBlocksRequest"},
"output":{"shape":"ListSnapshotBlocksResponse"},
"errors":[
{"shape":"ValidationException"},
{"shape":"ResourceNotFoundException"}
]
}
},
"shapes":{
"Block":{
"type":"structure",
"members":{
"BlockIndex":{"shape":"BlockIndex"},
"BlockToken":{"shape":"BlockToken"}
}
},
"BlockData":{
"type":"blob",
"sensitive":true,
"streaming":true
},
"BlockIndex":{"type":"integer"},
"BlockSize":{"type":"integer"},
"BlockToken":{
"type":"string",
"max":256,
"pattern":"^[A-Za-z0-9+/=]+$"
},
"Blocks":{
"type":"list",
"member":{"shape":"Block"},
"sensitive":true
},
"ChangedBlock":{
"type":"structure",
"members":{
"BlockIndex":{"shape":"BlockIndex"},
"FirstBlockToken":{"shape":"BlockToken"},
"SecondBlockToken":{"shape":"BlockToken"}
},
"sensitive":true
},
"ChangedBlocks":{
"type":"list",
"member":{"shape":"ChangedBlock"}
},
"Checksum":{
"type":"string",
"max":64
},
"ChecksumAlgorithm":{
"type":"string",
"enum":["SHA256"],
"max":32
},
"DataLength":{"type":"integer"},
"ErrorMessage":{
"type":"string",
"max":256
},
"GetSnapshotBlockRequest":{
"type":"structure",
"required":[
"SnapshotId",
"BlockIndex",
"BlockToken"
],
"members":{
"SnapshotId":{
"shape":"SnapshotId",
"location":"uri",
"locationName":"snapshotId"
},
"BlockIndex":{
"shape":"BlockIndex",
"location":"uri",
"locationName":"blockIndex"
},
"BlockToken":{
"shape":"BlockToken",
"location":"querystring",
"locationName":"blockToken"
}
}
},
"GetSnapshotBlockResponse":{
"type":"structure",
"members":{
"DataLength":{
"shape":"DataLength",
"location":"header",
"locationName":"x-amz-Data-Length"
},
"BlockData":{"shape":"BlockData"},
"Checksum":{
"shape":"Checksum",
"location":"header",
"locationName":"x-amz-Checksum"
},
"ChecksumAlgorithm":{
"shape":"ChecksumAlgorithm",
"location":"header",
"locationName":"x-amz-Checksum-Algorithm"
}
},
"payload":"BlockData"
},
"ListChangedBlocksRequest":{
"type":"structure",
"required":["SecondSnapshotId"],
"members":{
"FirstSnapshotId":{
"shape":"SnapshotId",
"location":"querystring",
"locationName":"firstSnapshotId"
},
"SecondSnapshotId":{
"shape":"SnapshotId",
"location":"uri",
"locationName":"secondSnapshotId"
},
"NextToken":{
"shape":"PageToken",
"location":"querystring",
"locationName":"pageToken"
},
"MaxResults":{
"shape":"MaxResults",
"location":"querystring",
"locationName":"maxResults"
},
"StartingBlockIndex":{
"shape":"BlockIndex",
"location":"querystring",
"locationName":"startingBlockIndex"
}
}
},
"ListChangedBlocksResponse":{
"type":"structure",
"members":{
"ChangedBlocks":{"shape":"ChangedBlocks"},
"ExpiryTime":{"shape":"TimeStamp"},
"VolumeSize":{"shape":"VolumeSize"},
"BlockSize":{"shape":"BlockSize"},
"NextToken":{"shape":"PageToken"}
}
},
"ListSnapshotBlocksRequest":{
"type":"structure",
"required":["SnapshotId"],
"members":{
"SnapshotId":{
"shape":"SnapshotId",
"location":"uri",
"locationName":"snapshotId"
},
"NextToken":{
"shape":"PageToken",
"location":"querystring",
"locationName":"pageToken"
},
"MaxResults":{
"shape":"MaxResults",
"location":"querystring",
"locationName":"maxResults"
},
"StartingBlockIndex":{
"shape":"BlockIndex",
"location":"querystring",
"locationName":"startingBlockIndex"
}
}
},
"ListSnapshotBlocksResponse":{
"type":"structure",
"members":{
"Blocks":{"shape":"Blocks"},
"ExpiryTime":{"shape":"TimeStamp"},
"VolumeSize":{"shape":"VolumeSize"},
"BlockSize":{"shape":"BlockSize"},
"NextToken":{"shape":"PageToken"}
}
},
"MaxResults":{
"type":"integer",
"max":10000,
"min":100
},
"PageToken":{
"type":"string",
"max":256,
"pattern":"^[A-Za-z0-9+/=]+$"
},
"ResourceNotFoundException":{
"type":"structure",
"members":{
"Message":{"shape":"ErrorMessage"}
},
"error":{"httpStatusCode":404},
"exception":true
},
"SnapshotId":{
"type":"string",
"max":64,
"min":1,
"pattern":"^snap-[0-9a-f]+$"
},
"TimeStamp":{"type":"timestamp"},
"ValidationException":{
"type":"structure",
"members":{
"Message":{"shape":"ErrorMessage"},
"Reason":{"shape":"ValidationExceptionReason"}
},
"error":{"httpStatusCode":400},
"exception":true
},
"ValidationExceptionReason":{
"type":"string",
"enum":[
"INVALID_CUSTOMER_KEY",
"INVALID_PAGE_TOKEN",
"INVALID_BLOCK_TOKEN",
"INVALID_SNAPSHOT_ID",
"UNRELATED_SNAPSHOTS"
]
},
"VolumeSize":{"type":"long"}
}
}
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