Package software.amazon.awssdk.services.personalize.model
package software.amazon.awssdk.services.personalize.model
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ClassDescriptionDescribes a custom algorithm.Describes an algorithm image.When the solution performs AutoML (
performAutoMLis true in CreateSolution), Amazon Personalize determines which recipe, from the specified list, optimizes the given metric.When the solution performs AutoML (performAutoMLis true in CreateSolution), specifies the recipe that best optimized the specified metric.Contains information on a batch inference job.The configuration details of a batch inference job.The input configuration of a batch inference job.The output configuration parameters of a batch inference job.A truncated version of the BatchInferenceJob.Contains information on a batch segment job.The input configuration of a batch segment job.The output configuration parameters of a batch segment job.A truncated version of the BatchSegmentJob datatype.An object that describes the deployment of a solution version.The configuration details of a campaign.Provides a summary of the properties of a campaign.Provides a summary of the properties of a campaign update.Provides the name and range of a categorical hyperparameter.Provides the name and range of a continuous hyperparameter.Provides metadata for a dataset.Describes a job that exports a dataset to an Amazon S3 bucket.The output configuration parameters of a dataset export job.Provides a summary of the properties of a dataset export job.A dataset group is a collection of related datasets (Item interactions, Users, Items, Actions, Action interactions).Provides a summary of the properties of a dataset group.Describes a job that imports training data from a data source (Amazon S3 bucket) to an Amazon Personalize dataset.Provides a summary of the properties of a dataset import job.Describes the schema for a dataset.Provides a summary of the properties of a dataset schema.Provides a summary of the properties of a dataset.Describes an update to a dataset.Describes the data source that contains the data to upload to a dataset.Provides the name and default range of a categorical hyperparameter and whether the hyperparameter is tunable.Provides the name and default range of a continuous hyperparameter and whether the hyperparameter is tunable.Specifies the hyperparameters and their default ranges.Provides the name and default range of a integer-valued hyperparameter and whether the hyperparameter is tunable.Provides information about an event tracker.Provides a summary of the properties of an event tracker.Provides feature transformation information.A string to string map of the configuration details for theme generation.Contains information on a recommendation filter, including its ARN, status, and filter expression.A short summary of a filter's attributes.Describes the properties for hyperparameter optimization (HPO).The metric to optimize during hyperparameter optimization (HPO).Describes the resource configuration for hyperparameter optimization (HPO).Specifies the hyperparameters and their ranges.Provides the name and range of an integer-valued hyperparameter.Provide a valid value for the field or parameter.The token is not valid.The limit on the number of requests per second has been exceeded.Contains information on a metric that a metric attribution reports on.Contains information on a metric attribution.The output configuration details for a metric attribution.Provides a summary of the properties of a metric attribution.Describes the additional objective for the solution, such as maximizing streaming minutes or increasing revenue.Provides information about a recipe.Provides a summary of the properties of a recipe.Describes a recommendation generator for a Domain dataset group.The configuration details of the recommender.Provides a summary of the properties of the recommender.Provides a summary of the properties of a recommender update.The specified resource already exists.The specified resource is in use.Could not find the specified resource.The configuration details of an Amazon S3 input or output bucket.An object that provides information about a solution.Describes the configuration properties for the solution.Provides a summary of the properties of a solution.An object that provides information about a specific version of a Solution in a Custom dataset group.Provides a summary of the properties of a solution version.The optional metadata that you apply to resources to help you categorize and organize them.The configuration details for generating themes with a batch inference job.The request contains more tag keys than can be associated with a resource (50 tag keys per resource).You have exceeded the maximum number of tags you can apply to this resource.The training data configuration to use when creating a domain recommender or custom solution version (trained model).If hyperparameter optimization (HPO) was performed, contains the hyperparameter values of the best performing model.