personalize-2018-05-22 library

Classes

Algorithm
Describes a custom algorithm.
AlgorithmImage
Describes an algorithm image.
AutoMLConfig
When the solution performs AutoML (performAutoML is true in CreateSolution), Amazon Personalize determines which recipe, from the specified list, optimizes the given metric. Amazon Personalize then uses that recipe for the solution.
AutoMLResult
When the solution performs AutoML (performAutoML is true in CreateSolution), specifies the recipe that best optimized the specified metric.
AwsClientCredentials
AWS credentials.
BatchInferenceJob
Contains information on a batch inference job.
BatchInferenceJobConfig
The configuration details of a batch inference job.
BatchInferenceJobInput
The input configuration of a batch inference job.
BatchInferenceJobOutput
The output configuration parameters of a batch inference job.
BatchInferenceJobSummary
A truncated version of the BatchInferenceJob datatype. The ListBatchInferenceJobs operation returns a list of batch inference job summaries.
Campaign
Describes a deployed solution version, otherwise known as a campaign. For more information on campaigns, see CreateCampaign.
CampaignConfig
The configuration details of a campaign.
CampaignSummary
Provides a summary of the properties of a campaign. For a complete listing, call the DescribeCampaign API.
CampaignUpdateSummary
Provides a summary of the properties of a campaign update. For a complete listing, call the DescribeCampaign API.
CategoricalHyperParameterRange
Provides the name and range of a categorical hyperparameter.
ContinuousHyperParameterRange
Provides the name and range of a continuous hyperparameter.
CreateBatchInferenceJobResponse
CreateCampaignResponse
CreateDatasetGroupResponse
CreateDatasetImportJobResponse
CreateDatasetResponse
CreateEventTrackerResponse
CreateFilterResponse
CreateSchemaResponse
CreateSolutionResponse
CreateSolutionVersionResponse
Dataset
Provides metadata for a dataset.
DatasetGroup
A dataset group is a collection of related datasets (Interactions, User, and Item). You create a dataset group by calling CreateDatasetGroup. You then create a dataset and add it to a dataset group by calling CreateDataset. The dataset group is used to create and train a solution by calling CreateSolution. A dataset group can contain only one of each type of dataset. [...]
DatasetGroupSummary
Provides a summary of the properties of a dataset group. For a complete listing, call the DescribeDatasetGroup API.
DatasetImportJob
Describes a job that imports training data from a data source (Amazon S3 bucket) to an Amazon Personalize dataset. For more information, see CreateDatasetImportJob. [...]
DatasetImportJobSummary
Provides a summary of the properties of a dataset import job. For a complete listing, call the DescribeDatasetImportJob API.
DatasetSchema
Describes the schema for a dataset. For more information on schemas, see CreateSchema.
DatasetSchemaSummary
Provides a summary of the properties of a dataset schema. For a complete listing, call the DescribeSchema API.
DatasetSummary
Provides a summary of the properties of a dataset. For a complete listing, call the DescribeDataset API.
DataSource
Describes the data source that contains the data to upload to a dataset.
DefaultCategoricalHyperParameterRange
Provides the name and default range of a categorical hyperparameter and whether the hyperparameter is tunable. A tunable hyperparameter can have its value determined during hyperparameter optimization (HPO).
DefaultContinuousHyperParameterRange
Provides the name and default range of a continuous hyperparameter and whether the hyperparameter is tunable. A tunable hyperparameter can have its value determined during hyperparameter optimization (HPO).
DefaultHyperParameterRanges
Specifies the hyperparameters and their default ranges. Hyperparameters can be categorical, continuous, or integer-valued.
DefaultIntegerHyperParameterRange
Provides the name and default range of a integer-valued hyperparameter and whether the hyperparameter is tunable. A tunable hyperparameter can have its value determined during hyperparameter optimization (HPO).
DescribeAlgorithmResponse
DescribeBatchInferenceJobResponse
DescribeCampaignResponse
DescribeDatasetGroupResponse
DescribeDatasetImportJobResponse
DescribeDatasetResponse
DescribeEventTrackerResponse
DescribeFeatureTransformationResponse
DescribeFilterResponse
DescribeRecipeResponse
DescribeSchemaResponse
DescribeSolutionResponse
DescribeSolutionVersionResponse
EventTracker
Provides information about an event tracker.
EventTrackerSummary
Provides a summary of the properties of an event tracker. For a complete listing, call the DescribeEventTracker API.
FeatureTransformation
Provides feature transformation information. Feature transformation is the process of modifying raw input data into a form more suitable for model training.
Filter
Contains information on a recommendation filter, including its ARN, status, and filter expression.
FilterSummary
A short summary of a filter's attributes.
GetSolutionMetricsResponse
HPOConfig
Describes the properties for hyperparameter optimization (HPO). For use with the bring-your-own-recipe feature. Do not use for Amazon Personalize native recipes.
HPOObjective
The metric to optimize during hyperparameter optimization (HPO).
HPOResourceConfig
Describes the resource configuration for hyperparameter optimization (HPO).
HyperParameterRanges
Specifies the hyperparameters and their ranges. Hyperparameters can be categorical, continuous, or integer-valued.
IntegerHyperParameterRange
Provides the name and range of an integer-valued hyperparameter.
ListBatchInferenceJobsResponse
ListCampaignsResponse
ListDatasetGroupsResponse
ListDatasetImportJobsResponse
ListDatasetsResponse
ListEventTrackersResponse
ListFiltersResponse
ListRecipesResponse
ListSchemasResponse
ListSolutionsResponse
ListSolutionVersionsResponse
Personalize
Amazon Personalize is a machine learning service that makes it easy to add individualized recommendations to customers.
Recipe
Provides information about a recipe. Each recipe provides an algorithm that Amazon Personalize uses in model training when you use the CreateSolution operation.
RecipeSummary
Provides a summary of the properties of a recipe. For a complete listing, call the DescribeRecipe API.
S3DataConfig
The configuration details of an Amazon S3 input or output bucket.
Solution
An object that provides information about a solution. A solution is a trained model that can be deployed as a campaign.
SolutionConfig
Describes the configuration properties for the solution.
SolutionSummary
Provides a summary of the properties of a solution. For a complete listing, call the DescribeSolution API.
SolutionVersion
An object that provides information about a specific version of a Solution.
SolutionVersionSummary
Provides a summary of the properties of a solution version. For a complete listing, call the DescribeSolutionVersion API.
TunedHPOParams
If hyperparameter optimization (HPO) was performed, contains the hyperparameter values of the best performing model.
UpdateCampaignResponse

Enums

RecipeProvider
TrainingMode

Exceptions / Errors

InvalidInputException
InvalidNextTokenException
LimitExceededException
ResourceAlreadyExistsException
ResourceInUseException
ResourceNotFoundException