Enum values for BatchInferenceJobMode.

Enum values for BatchInferenceJobMode.

Enum values for Domain.

Enum values for Domain.

Enum values for ImportMode.

Enum values for ImportMode.

Enum values for IngestionMode.

Enum values for IngestionMode.

Enum values for IngestionMode.

Enum values for ObjectiveSensitivity.

Enum values for ObjectiveSensitivity.

Enum values for ObjectiveSensitivity.

Enum values for ObjectiveSensitivity.

Enum values for RecipeProvider.

Enum values for TrainingMode.

Enum values for TrainingMode.

Enum values for TrainingMode.

Enum values for TrainingType.

Enum values for TrainingType.

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.

The automatic training configuration to use when performAutoTraining is true.

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.

Describes a job that deletes all references to specific users from an Amazon Personalize dataset group in batches.

Provides a summary of the properties of a data deletion job.

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, or the list of records to delete from Amazon Personalize.

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.

By default, all new solutions use automatic training.

Describes the configuration properties for the solution.

Provides a summary of the properties of a solution.

The configuration details of the solution update.

Provides a summary of the properties of a solution update.

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.