Package software.amazon.awssdk.services.cleanroomsml.model
package software.amazon.awssdk.services.cleanroomsml.model
-
ClassDescriptionAn access budget that defines consumption limits for a specific resource within defined time periods.The detailed information for a specific budget period, including time boundaries and budget amounts.You do not have sufficient access to perform this action.Defines the Amazon S3 bucket where the configured audience is stored.Provides information about the audience export job.Defines the Amazon S3 bucket where the seed audience for the generating audience is stored.Provides information about the configured audience generation job.Information about the audience model.Metrics that describe the quality of the generated audience.The size of the generated audience.Returns the relevance scores at these audience sizes when used in the GetAudienceGenerationJob for a specified audience generation job and configured audience model.Provides summary information about a configured model algorithm in a collaboration.Provides summary information about an ML input channel in a collaboration.Provides summary information about a trained model export job in a collaboration.Provides summary information about a trained model inference job in a collaboration.Provides summary information about a trained model in a collaboration.Contains classification information for data columns, including mappings that specify how columns should be handled during synthetic data generation and privacy analysis.Metadata for a column.Provides configuration information for the instances that will perform the compute work.Configuration information necessary for the configure audience model output.Information about the configured audience model.Provides summary information about the configured model algorithm association.Provides summary information about a configured model algorithm.You can't complete this action because another resource depends on this resource.Provides configuration information for the dockerized container where the model algorithm is stored.The configuration for defining custom patterns to be redacted from logs and error messages.Privacy evaluation scores that measure the privacy characteristics of the generated synthetic data, including assessments of potential privacy risks such as membership inference attacks.Defines where the training dataset is located, what type of data it contains, and how to access the data.Defines the Glue data source and schema mapping information.Defines information about the Glue data source that contains the training data.The Amazon S3 location where the exported model artifacts are stored.Defines the Glue data source that contains the training data.Defines an incremental training data channel that references a previously trained model.Contains information about an incremental training data channel that was used to create a trained model.Provides configuration information for the inference container.Provides execution parameters for the inference container.Configuration information about how the inference output is stored.Defines who will receive inference results.Defines the resources used to perform model inference.Provides information about the data source that is used to create an ML input channel.Provides the data source that is used to define an input channel.An internal service error occurred.The configuration for log redaction.Provides the information necessary for a user to access the logs.A score that measures the vulnerability of synthetic data to membership inference attacks and provides both the numerical score and the version of the attack methodology used for evaluation.Information about the model metric that is reported for a trained model.Provides the configuration policy for metrics generation.Provides summary information about the ML input channel.Configuration information about how the exported model artifacts are stored.Parameters that control the generation of synthetic data for custom model training, including privacy settings and column classification details.Defines information about the data source used for model inference.Information about the model training data channel.The privacy budget information that controls access to Clean Rooms ML input channels.Information about the privacy configuration for a configured model algorithm association.Information about the privacy configuration policies for a configured model algorithm association.Provides information necessary to perform the protected query.The parameters for the SQL type Protected Query.The relevance score of a generated audience.Information about the EC2 resources that are used to train the model.The resource you are requesting does not exist.File format of the returned data.Provides information about an Amazon S3 bucket and path.You have exceeded your service quota.Details about the status of a resource.The criteria used to stop model training.Properties that define how a specific data column should be handled during synthetic data generation, including its name, type, and role in predictive modeling.Configuration settings for synthetic data generation, including the parameters that control data synthesis and the evaluation scores that measure the quality and privacy characteristics of the generated synthetic data.Comprehensive evaluation metrics for synthetic data that assess both the utility of the generated data for machine learning tasks and its privacy preservation characteristics.The request was denied due to request throttling.Specifies the maximum size limit for trained model artifacts.Information about the output of the trained model export job.Provides information about the member who will receive trained model exports.Information about how the trained model exports are configured.The maximum size of the trained model metrics that can be exported.Provides configuration information for the trained model inference job.Provides information about the trained model inference job.Information about the maximum output size for a trained model inference job.The configuration policy for the trained models.Summary information about the trained model.Provides information about the training dataset.The request parameters for this request are incorrect.Configuration information about the compute workers that perform the transform job.