[][src]Crate rusoto_personalize

Amazon Personalize is a machine learning service that makes it easy to add individualized recommendations to customers.

If you're using the service, you're probably looking for PersonalizeClient and Personalize.

Structs

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.

BatchInferenceJob

Contains information on 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.

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.

CreateBatchInferenceJobRequest
CreateBatchInferenceJobResponse
CreateCampaignRequest
CreateCampaignResponse
CreateDatasetGroupRequest
CreateDatasetGroupResponse
CreateDatasetImportJobRequest
CreateDatasetImportJobResponse
CreateDatasetRequest
CreateDatasetResponse
CreateEventTrackerRequest
CreateEventTrackerResponse
CreateFilterRequest
CreateFilterResponse
CreateSchemaRequest
CreateSchemaResponse
CreateSolutionRequest
CreateSolutionResponse
CreateSolutionVersionRequest
CreateSolutionVersionResponse
DataSource

Describes the data source that contains the data to upload to a dataset.

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.

You can specify an AWS Key Management Service (KMS) key to encrypt the datasets in the group.

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.

A dataset import job can be in one of the following states:

  • CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED

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.

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).

DeleteCampaignRequest
DeleteDatasetGroupRequest
DeleteDatasetRequest
DeleteEventTrackerRequest
DeleteFilterRequest
DeleteSchemaRequest
DeleteSolutionRequest
DescribeAlgorithmRequest
DescribeAlgorithmResponse
DescribeBatchInferenceJobRequest
DescribeBatchInferenceJobResponse
DescribeCampaignRequest
DescribeCampaignResponse
DescribeDatasetGroupRequest
DescribeDatasetGroupResponse
DescribeDatasetImportJobRequest
DescribeDatasetImportJobResponse
DescribeDatasetRequest
DescribeDatasetResponse
DescribeEventTrackerRequest
DescribeEventTrackerResponse
DescribeFeatureTransformationRequest
DescribeFeatureTransformationResponse
DescribeFilterRequest
DescribeFilterResponse
DescribeRecipeRequest
DescribeRecipeResponse
DescribeSchemaRequest
DescribeSchemaResponse
DescribeSolutionRequest
DescribeSolutionResponse
DescribeSolutionVersionRequest
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.

GetSolutionMetricsRequest
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.

ListBatchInferenceJobsRequest
ListBatchInferenceJobsResponse
ListCampaignsRequest
ListCampaignsResponse
ListDatasetGroupsRequest
ListDatasetGroupsResponse
ListDatasetImportJobsRequest
ListDatasetImportJobsResponse
ListDatasetsRequest
ListDatasetsResponse
ListEventTrackersRequest
ListEventTrackersResponse
ListFiltersRequest
ListFiltersResponse
ListRecipesRequest
ListRecipesResponse
ListSchemasRequest
ListSchemasResponse
ListSolutionVersionsRequest
ListSolutionVersionsResponse
ListSolutionsRequest
ListSolutionsResponse
PersonalizeClient

A client for the Amazon Personalize API.

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.

UpdateCampaignRequest
UpdateCampaignResponse

Enums

CreateBatchInferenceJobError

Errors returned by CreateBatchInferenceJob

CreateCampaignError

Errors returned by CreateCampaign

CreateDatasetError

Errors returned by CreateDataset

CreateDatasetGroupError

Errors returned by CreateDatasetGroup

CreateDatasetImportJobError

Errors returned by CreateDatasetImportJob

CreateEventTrackerError

Errors returned by CreateEventTracker

CreateFilterError

Errors returned by CreateFilter

CreateSchemaError

Errors returned by CreateSchema

CreateSolutionError

Errors returned by CreateSolution

CreateSolutionVersionError

Errors returned by CreateSolutionVersion

DeleteCampaignError

Errors returned by DeleteCampaign

DeleteDatasetError

Errors returned by DeleteDataset

DeleteDatasetGroupError

Errors returned by DeleteDatasetGroup

DeleteEventTrackerError

Errors returned by DeleteEventTracker

DeleteFilterError

Errors returned by DeleteFilter

DeleteSchemaError

Errors returned by DeleteSchema

DeleteSolutionError

Errors returned by DeleteSolution

DescribeAlgorithmError

Errors returned by DescribeAlgorithm

DescribeBatchInferenceJobError

Errors returned by DescribeBatchInferenceJob

DescribeCampaignError

Errors returned by DescribeCampaign

DescribeDatasetError

Errors returned by DescribeDataset

DescribeDatasetGroupError

Errors returned by DescribeDatasetGroup

DescribeDatasetImportJobError

Errors returned by DescribeDatasetImportJob

DescribeEventTrackerError

Errors returned by DescribeEventTracker

DescribeFeatureTransformationError

Errors returned by DescribeFeatureTransformation

DescribeFilterError

Errors returned by DescribeFilter

DescribeRecipeError

Errors returned by DescribeRecipe

DescribeSchemaError

Errors returned by DescribeSchema

DescribeSolutionError

Errors returned by DescribeSolution

DescribeSolutionVersionError

Errors returned by DescribeSolutionVersion

GetSolutionMetricsError

Errors returned by GetSolutionMetrics

ListBatchInferenceJobsError

Errors returned by ListBatchInferenceJobs

ListCampaignsError

Errors returned by ListCampaigns

ListDatasetGroupsError

Errors returned by ListDatasetGroups

ListDatasetImportJobsError

Errors returned by ListDatasetImportJobs

ListDatasetsError

Errors returned by ListDatasets

ListEventTrackersError

Errors returned by ListEventTrackers

ListFiltersError

Errors returned by ListFilters

ListRecipesError

Errors returned by ListRecipes

ListSchemasError

Errors returned by ListSchemas

ListSolutionVersionsError

Errors returned by ListSolutionVersions

ListSolutionsError

Errors returned by ListSolutions

UpdateCampaignError

Errors returned by UpdateCampaign

Traits

Personalize

Trait representing the capabilities of the Amazon Personalize API. Amazon Personalize clients implement this trait.