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| [ | ||
| { | ||
| "type": "enhancement", | ||
| "category": "STS", | ||
| "description": "Documentation updates for AWS Security Token Service." | ||
| }, | ||
| { | ||
| "type": "api-change", | ||
| "category": "OpenSearchService", | ||
| "description": "Launching Amazon OpenSearch Service support for new zero-ETL integration with Amazon S3. Customers can now manage their direct query data sources to Amazon S3 programatically" | ||
| }, | ||
| { | ||
| "type": "feature", | ||
| "category": "CleanRoomsML", | ||
| "description": "Public Preview SDK release of AWS Clean Rooms ML APIs" | ||
| }, | ||
| { | ||
| "type": "api-change", | ||
| "category": "OpenSearchServerless", | ||
| "description": "Amazon OpenSearch Serverless collections support an additional attribute called standby-replicas. This allows to specify whether a collection should have redundancy enabled." | ||
| }, | ||
| { | ||
| "type": "api-change", | ||
| "category": "ApplicationAutoScaling", | ||
| "description": "Amazon SageMaker customers can now use Application Auto Scaling to automatically scale the number of Inference Component copies across an endpoint to meet the varying demand of their workloads." | ||
| }, | ||
| { | ||
| "type": "api-change", | ||
| "category": "CleanRooms", | ||
| "description": "AWS Clean Rooms now provides differential privacy to protect against user-identification attempts and machine learning modeling to allow two parties to identify similar users in their data." | ||
| }, | ||
| { | ||
| "type": "api-change", | ||
| "category": "SageMaker", | ||
| "description": "This release adds following support 1\/ Improved SDK tooling for model deployment. 2\/ New Inference Component based features to lower inference costs and latency 3\/ SageMaker HyperPod management. 4\/ Additional parameters for FM Fine Tuning in Autopilot" | ||
| }, | ||
| { | ||
| "type": "api-change", | ||
| "category": "SageMakerRuntime", | ||
| "description": "This release adds InferenceComponentName to InvokeEndpoint and InvokeEndpointWithResponseStream APIs to get inferences from the deployed InferenceComponents." | ||
| } | ||
| ] |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,59 @@ | ||
| <?php | ||
| namespace Aws\CleanRoomsML; | ||
|
|
||
| use Aws\AwsClient; | ||
|
|
||
| /** | ||
| * This client is used to interact with the **cleanrooms-ml** service. | ||
| * @method \Aws\Result createAudienceModel(array $args = []) | ||
| * @method \GuzzleHttp\Promise\Promise createAudienceModelAsync(array $args = []) | ||
| * @method \Aws\Result createConfiguredAudienceModel(array $args = []) | ||
| * @method \GuzzleHttp\Promise\Promise createConfiguredAudienceModelAsync(array $args = []) | ||
| * @method \Aws\Result createTrainingDataset(array $args = []) | ||
| * @method \GuzzleHttp\Promise\Promise createTrainingDatasetAsync(array $args = []) | ||
| * @method \Aws\Result deleteAudienceGenerationJob(array $args = []) | ||
| * @method \GuzzleHttp\Promise\Promise deleteAudienceGenerationJobAsync(array $args = []) | ||
| * @method \Aws\Result deleteAudienceModel(array $args = []) | ||
| * @method \GuzzleHttp\Promise\Promise deleteAudienceModelAsync(array $args = []) | ||
| * @method \Aws\Result deleteConfiguredAudienceModel(array $args = []) | ||
| * @method \GuzzleHttp\Promise\Promise deleteConfiguredAudienceModelAsync(array $args = []) | ||
| * @method \Aws\Result deleteConfiguredAudienceModelPolicy(array $args = []) | ||
| * @method \GuzzleHttp\Promise\Promise deleteConfiguredAudienceModelPolicyAsync(array $args = []) | ||
| * @method \Aws\Result deleteTrainingDataset(array $args = []) | ||
| * @method \GuzzleHttp\Promise\Promise deleteTrainingDatasetAsync(array $args = []) | ||
| * @method \Aws\Result getAudienceGenerationJob(array $args = []) | ||
| * @method \GuzzleHttp\Promise\Promise getAudienceGenerationJobAsync(array $args = []) | ||
| * @method \Aws\Result getAudienceModel(array $args = []) | ||
| * @method \GuzzleHttp\Promise\Promise getAudienceModelAsync(array $args = []) | ||
| * @method \Aws\Result getConfiguredAudienceModel(array $args = []) | ||
| * @method \GuzzleHttp\Promise\Promise getConfiguredAudienceModelAsync(array $args = []) | ||
| * @method \Aws\Result getConfiguredAudienceModelPolicy(array $args = []) | ||
| * @method \GuzzleHttp\Promise\Promise getConfiguredAudienceModelPolicyAsync(array $args = []) | ||
| * @method \Aws\Result getTrainingDataset(array $args = []) | ||
| * @method \GuzzleHttp\Promise\Promise getTrainingDatasetAsync(array $args = []) | ||
| * @method \Aws\Result listAudienceExportJobs(array $args = []) | ||
| * @method \GuzzleHttp\Promise\Promise listAudienceExportJobsAsync(array $args = []) | ||
| * @method \Aws\Result listAudienceGenerationJobs(array $args = []) | ||
| * @method \GuzzleHttp\Promise\Promise listAudienceGenerationJobsAsync(array $args = []) | ||
| * @method \Aws\Result listAudienceModels(array $args = []) | ||
| * @method \GuzzleHttp\Promise\Promise listAudienceModelsAsync(array $args = []) | ||
| * @method \Aws\Result listConfiguredAudienceModels(array $args = []) | ||
| * @method \GuzzleHttp\Promise\Promise listConfiguredAudienceModelsAsync(array $args = []) | ||
| * @method \Aws\Result listTagsForResource(array $args = []) | ||
| * @method \GuzzleHttp\Promise\Promise listTagsForResourceAsync(array $args = []) | ||
| * @method \Aws\Result listTrainingDatasets(array $args = []) | ||
| * @method \GuzzleHttp\Promise\Promise listTrainingDatasetsAsync(array $args = []) | ||
| * @method \Aws\Result putConfiguredAudienceModelPolicy(array $args = []) | ||
| * @method \GuzzleHttp\Promise\Promise putConfiguredAudienceModelPolicyAsync(array $args = []) | ||
| * @method \Aws\Result startAudienceExportJob(array $args = []) | ||
| * @method \GuzzleHttp\Promise\Promise startAudienceExportJobAsync(array $args = []) | ||
| * @method \Aws\Result startAudienceGenerationJob(array $args = []) | ||
| * @method \GuzzleHttp\Promise\Promise startAudienceGenerationJobAsync(array $args = []) | ||
| * @method \Aws\Result tagResource(array $args = []) | ||
| * @method \GuzzleHttp\Promise\Promise tagResourceAsync(array $args = []) | ||
| * @method \Aws\Result untagResource(array $args = []) | ||
| * @method \GuzzleHttp\Promise\Promise untagResourceAsync(array $args = []) | ||
| * @method \Aws\Result updateConfiguredAudienceModel(array $args = []) | ||
| * @method \GuzzleHttp\Promise\Promise updateConfiguredAudienceModelAsync(array $args = []) | ||
| */ | ||
| class CleanRoomsMLClient extends AwsClient {} |
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| <?php | ||
| namespace Aws\CleanRoomsML\Exception; | ||
|
|
||
| use Aws\Exception\AwsException; | ||
|
|
||
| /** | ||
| * Represents an error interacting with the **cleanrooms-ml** service. | ||
| */ | ||
| class CleanRoomsMLException extends AwsException {} |
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