Package personalizeiface provides an interface to enable mocking the Amazon Personalize service client for testing your code.

New creates a new instance of the Personalize client with a session.

ID to lookup a service endpoint with.

ErrCodeInvalidInputException for service response error code "InvalidInputException".

ErrCodeInvalidNextTokenException for service response error code "InvalidNextTokenException".

ErrCodeLimitExceededException for service response error code "LimitExceededException".

ErrCodeResourceAlreadyExistsException for service response error code "ResourceAlreadyExistsException".

ErrCodeResourceInUseException for service response error code "ResourceInUseException".

ErrCodeResourceNotFoundException for service response error code "ResourceNotFoundException".

RecipeProviderService is a RecipeProvider enum value.

ServiceID is a unique identifer of a specific service.

Name of service.

Describes a custom algorithm.

Describes an algorithm image.

When the solution performs AutoML (performAutoML is true in CreateSolution), Amazon Personalize determines which recipe, from the specified list, optimizes the given metric.

When the solution performs AutoML (performAutoML is true in CreateSolution), specifies the recipe that best optimized the specified metric.

Describes a deployed solution version, otherwise known as 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.

A dataset group is a collection of related datasets (Interactions, User, and Item).

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 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.

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.

Personalize provides the API operation methods for making requests to Amazon Personalize.

Provides information about a recipe.

Provides a summary of the properties of a recipe.

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.

Provides a summary of the properties of a solution version.