Copyright | (c) 2013-2023 Brendan Hay |
---|---|
License | Mozilla Public License, v. 2.0. |
Maintainer | Brendan Hay |
Stability | auto-generated |
Portability | non-portable (GHC extensions) |
Safe Haskell | Safe-Inferred |
Language | Haskell2010 |
- Service Configuration
- Errors
- Waiters
- Operations
- CreateBatchInferenceJob
- CreateBatchSegmentJob
- CreateCampaign
- CreateDataset
- CreateDatasetExportJob
- CreateDatasetGroup
- CreateDatasetImportJob
- CreateEventTracker
- CreateFilter
- CreateMetricAttribution
- CreateRecommender
- CreateSchema
- CreateSolution
- CreateSolutionVersion
- DeleteCampaign
- DeleteDataset
- DeleteDatasetGroup
- DeleteEventTracker
- DeleteFilter
- DeleteMetricAttribution
- DeleteRecommender
- DeleteSchema
- DeleteSolution
- DescribeAlgorithm
- DescribeBatchInferenceJob
- DescribeBatchSegmentJob
- DescribeCampaign
- DescribeDataset
- DescribeDatasetExportJob
- DescribeDatasetGroup
- DescribeDatasetImportJob
- DescribeEventTracker
- DescribeFeatureTransformation
- DescribeFilter
- DescribeMetricAttribution
- DescribeRecipe
- DescribeRecommender
- DescribeSchema
- DescribeSolution
- DescribeSolutionVersion
- GetSolutionMetrics
- ListBatchInferenceJobs (Paginated)
- ListBatchSegmentJobs (Paginated)
- ListCampaigns (Paginated)
- ListDatasetExportJobs (Paginated)
- ListDatasetGroups (Paginated)
- ListDatasetImportJobs (Paginated)
- ListDatasets (Paginated)
- ListEventTrackers (Paginated)
- ListFilters (Paginated)
- ListMetricAttributionMetrics (Paginated)
- ListMetricAttributions (Paginated)
- ListRecipes (Paginated)
- ListRecommenders (Paginated)
- ListSchemas (Paginated)
- ListSolutionVersions (Paginated)
- ListSolutions (Paginated)
- ListTagsForResource
- StartRecommender
- StopRecommender
- StopSolutionVersionCreation
- TagResource
- UntagResource
- UpdateCampaign
- UpdateMetricAttribution
- UpdateRecommender
- Types
- Domain
- ImportMode
- IngestionMode
- ObjectiveSensitivity
- RecipeProvider
- TrainingMode
- Algorithm
- AlgorithmImage
- AutoMLConfig
- AutoMLResult
- BatchInferenceJob
- BatchInferenceJobConfig
- BatchInferenceJobInput
- BatchInferenceJobOutput
- BatchInferenceJobSummary
- BatchSegmentJob
- BatchSegmentJobInput
- BatchSegmentJobOutput
- BatchSegmentJobSummary
- Campaign
- CampaignConfig
- CampaignSummary
- CampaignUpdateSummary
- CategoricalHyperParameterRange
- ContinuousHyperParameterRange
- DataSource
- Dataset
- DatasetExportJob
- DatasetExportJobOutput
- DatasetExportJobSummary
- DatasetGroup
- DatasetGroupSummary
- DatasetImportJob
- DatasetImportJobSummary
- DatasetSchema
- DatasetSchemaSummary
- DatasetSummary
- DefaultCategoricalHyperParameterRange
- DefaultContinuousHyperParameterRange
- DefaultHyperParameterRanges
- DefaultIntegerHyperParameterRange
- EventTracker
- EventTrackerSummary
- FeatureTransformation
- Filter
- FilterSummary
- HPOConfig
- HPOObjective
- HPOResourceConfig
- HyperParameterRanges
- IntegerHyperParameterRange
- MetricAttribute
- MetricAttribution
- MetricAttributionOutput
- MetricAttributionSummary
- OptimizationObjective
- Recipe
- RecipeSummary
- Recommender
- RecommenderConfig
- RecommenderSummary
- RecommenderUpdateSummary
- S3DataConfig
- Solution
- SolutionConfig
- SolutionSummary
- SolutionVersion
- SolutionVersionSummary
- Tag
- TunedHPOParams
Derived from API version 2018-05-22
of the AWS service descriptions, licensed under Apache 2.0.
Amazon Personalize is a machine learning service that makes it easy to add individualized recommendations to customers.
Synopsis
- defaultService :: Service
- _InvalidInputException :: AsError a => Fold a ServiceError
- _InvalidNextTokenException :: AsError a => Fold a ServiceError
- _LimitExceededException :: AsError a => Fold a ServiceError
- _ResourceAlreadyExistsException :: AsError a => Fold a ServiceError
- _ResourceInUseException :: AsError a => Fold a ServiceError
- _ResourceNotFoundException :: AsError a => Fold a ServiceError
- _TooManyTagKeysException :: AsError a => Fold a ServiceError
- _TooManyTagsException :: AsError a => Fold a ServiceError
- data CreateBatchInferenceJob = CreateBatchInferenceJob' (Maybe BatchInferenceJobConfig) (Maybe Text) (Maybe Int) (Maybe [Tag]) Text Text BatchInferenceJobInput BatchInferenceJobOutput Text
- newCreateBatchInferenceJob :: Text -> Text -> BatchInferenceJobInput -> BatchInferenceJobOutput -> Text -> CreateBatchInferenceJob
- data CreateBatchInferenceJobResponse = CreateBatchInferenceJobResponse' (Maybe Text) Int
- newCreateBatchInferenceJobResponse :: Int -> CreateBatchInferenceJobResponse
- data CreateBatchSegmentJob = CreateBatchSegmentJob' (Maybe Text) (Maybe Int) (Maybe [Tag]) Text Text BatchSegmentJobInput BatchSegmentJobOutput Text
- newCreateBatchSegmentJob :: Text -> Text -> BatchSegmentJobInput -> BatchSegmentJobOutput -> Text -> CreateBatchSegmentJob
- data CreateBatchSegmentJobResponse = CreateBatchSegmentJobResponse' (Maybe Text) Int
- newCreateBatchSegmentJobResponse :: Int -> CreateBatchSegmentJobResponse
- data CreateCampaign = CreateCampaign' (Maybe CampaignConfig) (Maybe Natural) (Maybe [Tag]) Text Text
- newCreateCampaign :: Text -> Text -> CreateCampaign
- data CreateCampaignResponse = CreateCampaignResponse' (Maybe Text) Int
- newCreateCampaignResponse :: Int -> CreateCampaignResponse
- data CreateDataset = CreateDataset' (Maybe [Tag]) Text Text Text Text
- newCreateDataset :: Text -> Text -> Text -> Text -> CreateDataset
- data CreateDatasetResponse = CreateDatasetResponse' (Maybe Text) Int
- newCreateDatasetResponse :: Int -> CreateDatasetResponse
- data CreateDatasetExportJob = CreateDatasetExportJob' (Maybe IngestionMode) (Maybe [Tag]) Text Text Text DatasetExportJobOutput
- newCreateDatasetExportJob :: Text -> Text -> Text -> DatasetExportJobOutput -> CreateDatasetExportJob
- data CreateDatasetExportJobResponse = CreateDatasetExportJobResponse' (Maybe Text) Int
- newCreateDatasetExportJobResponse :: Int -> CreateDatasetExportJobResponse
- data CreateDatasetGroup = CreateDatasetGroup' (Maybe Domain) (Maybe Text) (Maybe Text) (Maybe [Tag]) Text
- newCreateDatasetGroup :: Text -> CreateDatasetGroup
- data CreateDatasetGroupResponse = CreateDatasetGroupResponse' (Maybe Text) (Maybe Domain) Int
- newCreateDatasetGroupResponse :: Int -> CreateDatasetGroupResponse
- data CreateDatasetImportJob = CreateDatasetImportJob' (Maybe ImportMode) (Maybe Bool) (Maybe [Tag]) Text Text DataSource Text
- newCreateDatasetImportJob :: Text -> Text -> DataSource -> Text -> CreateDatasetImportJob
- data CreateDatasetImportJobResponse = CreateDatasetImportJobResponse' (Maybe Text) Int
- newCreateDatasetImportJobResponse :: Int -> CreateDatasetImportJobResponse
- data CreateEventTracker = CreateEventTracker' (Maybe [Tag]) Text Text
- newCreateEventTracker :: Text -> Text -> CreateEventTracker
- data CreateEventTrackerResponse = CreateEventTrackerResponse' (Maybe Text) (Maybe Text) Int
- newCreateEventTrackerResponse :: Int -> CreateEventTrackerResponse
- data CreateFilter = CreateFilter' (Maybe [Tag]) Text Text (Sensitive Text)
- newCreateFilter :: Text -> Text -> Text -> CreateFilter
- data CreateFilterResponse = CreateFilterResponse' (Maybe Text) Int
- newCreateFilterResponse :: Int -> CreateFilterResponse
- data CreateMetricAttribution = CreateMetricAttribution' Text Text [MetricAttribute] MetricAttributionOutput
- newCreateMetricAttribution :: Text -> Text -> MetricAttributionOutput -> CreateMetricAttribution
- data CreateMetricAttributionResponse = CreateMetricAttributionResponse' (Maybe Text) Int
- newCreateMetricAttributionResponse :: Int -> CreateMetricAttributionResponse
- data CreateRecommender = CreateRecommender' (Maybe RecommenderConfig) (Maybe [Tag]) Text Text Text
- newCreateRecommender :: Text -> Text -> Text -> CreateRecommender
- data CreateRecommenderResponse = CreateRecommenderResponse' (Maybe Text) Int
- newCreateRecommenderResponse :: Int -> CreateRecommenderResponse
- data CreateSchema = CreateSchema' (Maybe Domain) Text Text
- newCreateSchema :: Text -> Text -> CreateSchema
- data CreateSchemaResponse = CreateSchemaResponse' (Maybe Text) Int
- newCreateSchemaResponse :: Int -> CreateSchemaResponse
- data CreateSolution = CreateSolution' (Maybe Text) (Maybe Bool) (Maybe Bool) (Maybe Text) (Maybe SolutionConfig) (Maybe [Tag]) Text Text
- newCreateSolution :: Text -> Text -> CreateSolution
- data CreateSolutionResponse = CreateSolutionResponse' (Maybe Text) Int
- newCreateSolutionResponse :: Int -> CreateSolutionResponse
- data CreateSolutionVersion = CreateSolutionVersion' (Maybe Text) (Maybe [Tag]) (Maybe TrainingMode) Text
- newCreateSolutionVersion :: Text -> CreateSolutionVersion
- data CreateSolutionVersionResponse = CreateSolutionVersionResponse' (Maybe Text) Int
- newCreateSolutionVersionResponse :: Int -> CreateSolutionVersionResponse
- data DeleteCampaign = DeleteCampaign' Text
- newDeleteCampaign :: Text -> DeleteCampaign
- data DeleteCampaignResponse = DeleteCampaignResponse' {
- newDeleteCampaignResponse :: DeleteCampaignResponse
- data DeleteDataset = DeleteDataset' Text
- newDeleteDataset :: Text -> DeleteDataset
- data DeleteDatasetResponse = DeleteDatasetResponse' {
- newDeleteDatasetResponse :: DeleteDatasetResponse
- data DeleteDatasetGroup = DeleteDatasetGroup' Text
- newDeleteDatasetGroup :: Text -> DeleteDatasetGroup
- data DeleteDatasetGroupResponse = DeleteDatasetGroupResponse' {
- newDeleteDatasetGroupResponse :: DeleteDatasetGroupResponse
- data DeleteEventTracker = DeleteEventTracker' Text
- newDeleteEventTracker :: Text -> DeleteEventTracker
- data DeleteEventTrackerResponse = DeleteEventTrackerResponse' {
- newDeleteEventTrackerResponse :: DeleteEventTrackerResponse
- data DeleteFilter = DeleteFilter' Text
- newDeleteFilter :: Text -> DeleteFilter
- data DeleteFilterResponse = DeleteFilterResponse' {
- newDeleteFilterResponse :: DeleteFilterResponse
- data DeleteMetricAttribution = DeleteMetricAttribution' Text
- newDeleteMetricAttribution :: Text -> DeleteMetricAttribution
- data DeleteMetricAttributionResponse = DeleteMetricAttributionResponse' {
- newDeleteMetricAttributionResponse :: DeleteMetricAttributionResponse
- data DeleteRecommender = DeleteRecommender' Text
- newDeleteRecommender :: Text -> DeleteRecommender
- data DeleteRecommenderResponse = DeleteRecommenderResponse' {
- newDeleteRecommenderResponse :: DeleteRecommenderResponse
- data DeleteSchema = DeleteSchema' Text
- newDeleteSchema :: Text -> DeleteSchema
- data DeleteSchemaResponse = DeleteSchemaResponse' {
- newDeleteSchemaResponse :: DeleteSchemaResponse
- data DeleteSolution = DeleteSolution' Text
- newDeleteSolution :: Text -> DeleteSolution
- data DeleteSolutionResponse = DeleteSolutionResponse' {
- newDeleteSolutionResponse :: DeleteSolutionResponse
- data DescribeAlgorithm = DescribeAlgorithm' Text
- newDescribeAlgorithm :: Text -> DescribeAlgorithm
- data DescribeAlgorithmResponse = DescribeAlgorithmResponse' (Maybe Algorithm) Int
- newDescribeAlgorithmResponse :: Int -> DescribeAlgorithmResponse
- data DescribeBatchInferenceJob = DescribeBatchInferenceJob' Text
- newDescribeBatchInferenceJob :: Text -> DescribeBatchInferenceJob
- data DescribeBatchInferenceJobResponse = DescribeBatchInferenceJobResponse' (Maybe BatchInferenceJob) Int
- newDescribeBatchInferenceJobResponse :: Int -> DescribeBatchInferenceJobResponse
- data DescribeBatchSegmentJob = DescribeBatchSegmentJob' Text
- newDescribeBatchSegmentJob :: Text -> DescribeBatchSegmentJob
- data DescribeBatchSegmentJobResponse = DescribeBatchSegmentJobResponse' (Maybe BatchSegmentJob) Int
- newDescribeBatchSegmentJobResponse :: Int -> DescribeBatchSegmentJobResponse
- data DescribeCampaign = DescribeCampaign' Text
- newDescribeCampaign :: Text -> DescribeCampaign
- data DescribeCampaignResponse = DescribeCampaignResponse' (Maybe Campaign) Int
- newDescribeCampaignResponse :: Int -> DescribeCampaignResponse
- data DescribeDataset = DescribeDataset' Text
- newDescribeDataset :: Text -> DescribeDataset
- data DescribeDatasetResponse = DescribeDatasetResponse' (Maybe Dataset) Int
- newDescribeDatasetResponse :: Int -> DescribeDatasetResponse
- data DescribeDatasetExportJob = DescribeDatasetExportJob' Text
- newDescribeDatasetExportJob :: Text -> DescribeDatasetExportJob
- data DescribeDatasetExportJobResponse = DescribeDatasetExportJobResponse' (Maybe DatasetExportJob) Int
- newDescribeDatasetExportJobResponse :: Int -> DescribeDatasetExportJobResponse
- data DescribeDatasetGroup = DescribeDatasetGroup' Text
- newDescribeDatasetGroup :: Text -> DescribeDatasetGroup
- data DescribeDatasetGroupResponse = DescribeDatasetGroupResponse' (Maybe DatasetGroup) Int
- newDescribeDatasetGroupResponse :: Int -> DescribeDatasetGroupResponse
- data DescribeDatasetImportJob = DescribeDatasetImportJob' Text
- newDescribeDatasetImportJob :: Text -> DescribeDatasetImportJob
- data DescribeDatasetImportJobResponse = DescribeDatasetImportJobResponse' (Maybe DatasetImportJob) Int
- newDescribeDatasetImportJobResponse :: Int -> DescribeDatasetImportJobResponse
- data DescribeEventTracker = DescribeEventTracker' Text
- newDescribeEventTracker :: Text -> DescribeEventTracker
- data DescribeEventTrackerResponse = DescribeEventTrackerResponse' (Maybe EventTracker) Int
- newDescribeEventTrackerResponse :: Int -> DescribeEventTrackerResponse
- data DescribeFeatureTransformation = DescribeFeatureTransformation' Text
- newDescribeFeatureTransformation :: Text -> DescribeFeatureTransformation
- data DescribeFeatureTransformationResponse = DescribeFeatureTransformationResponse' (Maybe FeatureTransformation) Int
- newDescribeFeatureTransformationResponse :: Int -> DescribeFeatureTransformationResponse
- data DescribeFilter = DescribeFilter' Text
- newDescribeFilter :: Text -> DescribeFilter
- data DescribeFilterResponse = DescribeFilterResponse' (Maybe Filter) Int
- newDescribeFilterResponse :: Int -> DescribeFilterResponse
- data DescribeMetricAttribution = DescribeMetricAttribution' Text
- newDescribeMetricAttribution :: Text -> DescribeMetricAttribution
- data DescribeMetricAttributionResponse = DescribeMetricAttributionResponse' (Maybe MetricAttribution) Int
- newDescribeMetricAttributionResponse :: Int -> DescribeMetricAttributionResponse
- data DescribeRecipe = DescribeRecipe' Text
- newDescribeRecipe :: Text -> DescribeRecipe
- data DescribeRecipeResponse = DescribeRecipeResponse' (Maybe Recipe) Int
- newDescribeRecipeResponse :: Int -> DescribeRecipeResponse
- data DescribeRecommender = DescribeRecommender' Text
- newDescribeRecommender :: Text -> DescribeRecommender
- data DescribeRecommenderResponse = DescribeRecommenderResponse' (Maybe Recommender) Int
- newDescribeRecommenderResponse :: Int -> DescribeRecommenderResponse
- data DescribeSchema = DescribeSchema' Text
- newDescribeSchema :: Text -> DescribeSchema
- data DescribeSchemaResponse = DescribeSchemaResponse' (Maybe DatasetSchema) Int
- newDescribeSchemaResponse :: Int -> DescribeSchemaResponse
- data DescribeSolution = DescribeSolution' Text
- newDescribeSolution :: Text -> DescribeSolution
- data DescribeSolutionResponse = DescribeSolutionResponse' (Maybe Solution) Int
- newDescribeSolutionResponse :: Int -> DescribeSolutionResponse
- data DescribeSolutionVersion = DescribeSolutionVersion' Text
- newDescribeSolutionVersion :: Text -> DescribeSolutionVersion
- data DescribeSolutionVersionResponse = DescribeSolutionVersionResponse' (Maybe SolutionVersion) Int
- newDescribeSolutionVersionResponse :: Int -> DescribeSolutionVersionResponse
- data GetSolutionMetrics = GetSolutionMetrics' Text
- newGetSolutionMetrics :: Text -> GetSolutionMetrics
- data GetSolutionMetricsResponse = GetSolutionMetricsResponse' (Maybe (HashMap Text Double)) (Maybe Text) Int
- newGetSolutionMetricsResponse :: Int -> GetSolutionMetricsResponse
- data ListBatchInferenceJobs = ListBatchInferenceJobs' (Maybe Natural) (Maybe Text) (Maybe Text)
- newListBatchInferenceJobs :: ListBatchInferenceJobs
- data ListBatchInferenceJobsResponse = ListBatchInferenceJobsResponse' (Maybe [BatchInferenceJobSummary]) (Maybe Text) Int
- newListBatchInferenceJobsResponse :: Int -> ListBatchInferenceJobsResponse
- data ListBatchSegmentJobs = ListBatchSegmentJobs' (Maybe Natural) (Maybe Text) (Maybe Text)
- newListBatchSegmentJobs :: ListBatchSegmentJobs
- data ListBatchSegmentJobsResponse = ListBatchSegmentJobsResponse' (Maybe [BatchSegmentJobSummary]) (Maybe Text) Int
- newListBatchSegmentJobsResponse :: Int -> ListBatchSegmentJobsResponse
- data ListCampaigns = ListCampaigns' (Maybe Natural) (Maybe Text) (Maybe Text)
- newListCampaigns :: ListCampaigns
- data ListCampaignsResponse = ListCampaignsResponse' (Maybe [CampaignSummary]) (Maybe Text) Int
- newListCampaignsResponse :: Int -> ListCampaignsResponse
- data ListDatasetExportJobs = ListDatasetExportJobs' (Maybe Text) (Maybe Natural) (Maybe Text)
- newListDatasetExportJobs :: ListDatasetExportJobs
- data ListDatasetExportJobsResponse = ListDatasetExportJobsResponse' (Maybe [DatasetExportJobSummary]) (Maybe Text) Int
- newListDatasetExportJobsResponse :: Int -> ListDatasetExportJobsResponse
- data ListDatasetGroups = ListDatasetGroups' (Maybe Natural) (Maybe Text)
- newListDatasetGroups :: ListDatasetGroups
- data ListDatasetGroupsResponse = ListDatasetGroupsResponse' (Maybe [DatasetGroupSummary]) (Maybe Text) Int
- newListDatasetGroupsResponse :: Int -> ListDatasetGroupsResponse
- data ListDatasetImportJobs = ListDatasetImportJobs' (Maybe Text) (Maybe Natural) (Maybe Text)
- newListDatasetImportJobs :: ListDatasetImportJobs
- data ListDatasetImportJobsResponse = ListDatasetImportJobsResponse' (Maybe [DatasetImportJobSummary]) (Maybe Text) Int
- newListDatasetImportJobsResponse :: Int -> ListDatasetImportJobsResponse
- data ListDatasets = ListDatasets' (Maybe Text) (Maybe Natural) (Maybe Text)
- newListDatasets :: ListDatasets
- data ListDatasetsResponse = ListDatasetsResponse' (Maybe [DatasetSummary]) (Maybe Text) Int
- newListDatasetsResponse :: Int -> ListDatasetsResponse
- data ListEventTrackers = ListEventTrackers' (Maybe Text) (Maybe Natural) (Maybe Text)
- newListEventTrackers :: ListEventTrackers
- data ListEventTrackersResponse = ListEventTrackersResponse' (Maybe [EventTrackerSummary]) (Maybe Text) Int
- newListEventTrackersResponse :: Int -> ListEventTrackersResponse
- data ListFilters = ListFilters' (Maybe Text) (Maybe Natural) (Maybe Text)
- newListFilters :: ListFilters
- data ListFiltersResponse = ListFiltersResponse' (Maybe [FilterSummary]) (Maybe Text) Int
- newListFiltersResponse :: Int -> ListFiltersResponse
- data ListMetricAttributionMetrics = ListMetricAttributionMetrics' (Maybe Natural) (Maybe Text) (Maybe Text)
- newListMetricAttributionMetrics :: ListMetricAttributionMetrics
- data ListMetricAttributionMetricsResponse = ListMetricAttributionMetricsResponse' (Maybe [MetricAttribute]) (Maybe Text) Int
- newListMetricAttributionMetricsResponse :: Int -> ListMetricAttributionMetricsResponse
- data ListMetricAttributions = ListMetricAttributions' (Maybe Text) (Maybe Natural) (Maybe Text)
- newListMetricAttributions :: ListMetricAttributions
- data ListMetricAttributionsResponse = ListMetricAttributionsResponse' (Maybe [MetricAttributionSummary]) (Maybe Text) Int
- newListMetricAttributionsResponse :: Int -> ListMetricAttributionsResponse
- data ListRecipes = ListRecipes' (Maybe Domain) (Maybe Natural) (Maybe Text) (Maybe RecipeProvider)
- newListRecipes :: ListRecipes
- data ListRecipesResponse = ListRecipesResponse' (Maybe Text) (Maybe [RecipeSummary]) Int
- newListRecipesResponse :: Int -> ListRecipesResponse
- data ListRecommenders = ListRecommenders' (Maybe Text) (Maybe Natural) (Maybe Text)
- newListRecommenders :: ListRecommenders
- data ListRecommendersResponse = ListRecommendersResponse' (Maybe Text) (Maybe [RecommenderSummary]) Int
- newListRecommendersResponse :: Int -> ListRecommendersResponse
- data ListSchemas = ListSchemas' (Maybe Natural) (Maybe Text)
- newListSchemas :: ListSchemas
- data ListSchemasResponse = ListSchemasResponse' (Maybe Text) (Maybe [DatasetSchemaSummary]) Int
- newListSchemasResponse :: Int -> ListSchemasResponse
- data ListSolutionVersions = ListSolutionVersions' (Maybe Natural) (Maybe Text) (Maybe Text)
- newListSolutionVersions :: ListSolutionVersions
- data ListSolutionVersionsResponse = ListSolutionVersionsResponse' (Maybe Text) (Maybe [SolutionVersionSummary]) Int
- newListSolutionVersionsResponse :: Int -> ListSolutionVersionsResponse
- data ListSolutions = ListSolutions' (Maybe Text) (Maybe Natural) (Maybe Text)
- newListSolutions :: ListSolutions
- data ListSolutionsResponse = ListSolutionsResponse' (Maybe Text) (Maybe [SolutionSummary]) Int
- newListSolutionsResponse :: Int -> ListSolutionsResponse
- data ListTagsForResource = ListTagsForResource' Text
- newListTagsForResource :: Text -> ListTagsForResource
- data ListTagsForResourceResponse = ListTagsForResourceResponse' (Maybe [Tag]) Int
- newListTagsForResourceResponse :: Int -> ListTagsForResourceResponse
- data StartRecommender = StartRecommender' Text
- newStartRecommender :: Text -> StartRecommender
- data StartRecommenderResponse = StartRecommenderResponse' (Maybe Text) Int
- newStartRecommenderResponse :: Int -> StartRecommenderResponse
- data StopRecommender = StopRecommender' Text
- newStopRecommender :: Text -> StopRecommender
- data StopRecommenderResponse = StopRecommenderResponse' (Maybe Text) Int
- newStopRecommenderResponse :: Int -> StopRecommenderResponse
- data StopSolutionVersionCreation = StopSolutionVersionCreation' Text
- newStopSolutionVersionCreation :: Text -> StopSolutionVersionCreation
- data StopSolutionVersionCreationResponse = StopSolutionVersionCreationResponse' {
- newStopSolutionVersionCreationResponse :: StopSolutionVersionCreationResponse
- data TagResource = TagResource' Text [Tag]
- newTagResource :: Text -> TagResource
- data TagResourceResponse = TagResourceResponse' Int
- newTagResourceResponse :: Int -> TagResourceResponse
- data UntagResource = UntagResource' Text [Text]
- newUntagResource :: Text -> UntagResource
- data UntagResourceResponse = UntagResourceResponse' Int
- newUntagResourceResponse :: Int -> UntagResourceResponse
- data UpdateCampaign = UpdateCampaign' (Maybe CampaignConfig) (Maybe Natural) (Maybe Text) Text
- newUpdateCampaign :: Text -> UpdateCampaign
- data UpdateCampaignResponse = UpdateCampaignResponse' (Maybe Text) Int
- newUpdateCampaignResponse :: Int -> UpdateCampaignResponse
- data UpdateMetricAttribution = UpdateMetricAttribution' (Maybe [MetricAttribute]) (Maybe Text) (Maybe MetricAttributionOutput) (Maybe [Text])
- newUpdateMetricAttribution :: UpdateMetricAttribution
- data UpdateMetricAttributionResponse = UpdateMetricAttributionResponse' (Maybe Text) Int
- newUpdateMetricAttributionResponse :: Int -> UpdateMetricAttributionResponse
- data UpdateRecommender = UpdateRecommender' Text RecommenderConfig
- newUpdateRecommender :: Text -> RecommenderConfig -> UpdateRecommender
- data UpdateRecommenderResponse = UpdateRecommenderResponse' (Maybe Text) Int
- newUpdateRecommenderResponse :: Int -> UpdateRecommenderResponse
- newtype Domain where
- Domain' {
- fromDomain :: Text
- pattern Domain_ECOMMERCE :: Domain
- pattern Domain_VIDEO_ON_DEMAND :: Domain
- Domain' {
- newtype ImportMode where
- ImportMode' { }
- pattern ImportMode_FULL :: ImportMode
- pattern ImportMode_INCREMENTAL :: ImportMode
- newtype IngestionMode where
- IngestionMode' { }
- pattern IngestionMode_ALL :: IngestionMode
- pattern IngestionMode_BULK :: IngestionMode
- pattern IngestionMode_PUT :: IngestionMode
- newtype ObjectiveSensitivity where
- newtype RecipeProvider where
- RecipeProvider' { }
- pattern RecipeProvider_SERVICE :: RecipeProvider
- newtype TrainingMode where
- TrainingMode' { }
- pattern TrainingMode_FULL :: TrainingMode
- pattern TrainingMode_UPDATE :: TrainingMode
- data Algorithm = Algorithm' (Maybe Text) (Maybe AlgorithmImage) (Maybe POSIX) (Maybe DefaultHyperParameterRanges) (Maybe (HashMap Text Text)) (Maybe (HashMap Text Text)) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text)
- newAlgorithm :: Algorithm
- data AlgorithmImage = AlgorithmImage' (Maybe Text) Text
- newAlgorithmImage :: Text -> AlgorithmImage
- data AutoMLConfig = AutoMLConfig' (Maybe Text) (Maybe [Text])
- newAutoMLConfig :: AutoMLConfig
- data AutoMLResult = AutoMLResult' (Maybe Text)
- newAutoMLResult :: AutoMLResult
- data BatchInferenceJob = BatchInferenceJob' (Maybe Text) (Maybe BatchInferenceJobConfig) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe BatchInferenceJobInput) (Maybe Text) (Maybe BatchInferenceJobOutput) (Maybe POSIX) (Maybe Int) (Maybe Text) (Maybe Text) (Maybe Text)
- newBatchInferenceJob :: BatchInferenceJob
- data BatchInferenceJobConfig = BatchInferenceJobConfig' (Maybe (HashMap Text Text))
- newBatchInferenceJobConfig :: BatchInferenceJobConfig
- data BatchInferenceJobInput = BatchInferenceJobInput' S3DataConfig
- newBatchInferenceJobInput :: S3DataConfig -> BatchInferenceJobInput
- data BatchInferenceJobOutput = BatchInferenceJobOutput' S3DataConfig
- newBatchInferenceJobOutput :: S3DataConfig -> BatchInferenceJobOutput
- data BatchInferenceJobSummary = BatchInferenceJobSummary' (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe Text)
- newBatchInferenceJobSummary :: BatchInferenceJobSummary
- data BatchSegmentJob = BatchSegmentJob' (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe BatchSegmentJobInput) (Maybe Text) (Maybe BatchSegmentJobOutput) (Maybe POSIX) (Maybe Int) (Maybe Text) (Maybe Text) (Maybe Text)
- newBatchSegmentJob :: BatchSegmentJob
- data BatchSegmentJobInput = BatchSegmentJobInput' S3DataConfig
- newBatchSegmentJobInput :: S3DataConfig -> BatchSegmentJobInput
- data BatchSegmentJobOutput = BatchSegmentJobOutput' S3DataConfig
- newBatchSegmentJobOutput :: S3DataConfig -> BatchSegmentJobOutput
- data BatchSegmentJobSummary = BatchSegmentJobSummary' (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe Text)
- newBatchSegmentJobSummary :: BatchSegmentJobSummary
- data Campaign = Campaign' (Maybe Text) (Maybe CampaignConfig) (Maybe POSIX) (Maybe Text) (Maybe POSIX) (Maybe CampaignUpdateSummary) (Maybe Natural) (Maybe Text) (Maybe Text) (Maybe Text)
- newCampaign :: Campaign
- data CampaignConfig = CampaignConfig' (Maybe (HashMap Text Text))
- newCampaignConfig :: CampaignConfig
- data CampaignSummary = CampaignSummary' (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe Text)
- newCampaignSummary :: CampaignSummary
- data CampaignUpdateSummary = CampaignUpdateSummary' (Maybe CampaignConfig) (Maybe POSIX) (Maybe Text) (Maybe POSIX) (Maybe Natural) (Maybe Text) (Maybe Text)
- newCampaignUpdateSummary :: CampaignUpdateSummary
- data CategoricalHyperParameterRange = CategoricalHyperParameterRange' (Maybe Text) (Maybe [Text])
- newCategoricalHyperParameterRange :: CategoricalHyperParameterRange
- data ContinuousHyperParameterRange = ContinuousHyperParameterRange' (Maybe Double) (Maybe Double) (Maybe Text)
- newContinuousHyperParameterRange :: ContinuousHyperParameterRange
- data DataSource = DataSource' (Maybe Text)
- newDataSource :: DataSource
- data Dataset = Dataset' (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text)
- newDataset :: Dataset
- data DatasetExportJob = DatasetExportJob' (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe IngestionMode) (Maybe Text) (Maybe DatasetExportJobOutput) (Maybe POSIX) (Maybe Text) (Maybe Text)
- newDatasetExportJob :: DatasetExportJob
- data DatasetExportJobOutput = DatasetExportJobOutput' S3DataConfig
- newDatasetExportJobOutput :: S3DataConfig -> DatasetExportJobOutput
- data DatasetExportJobSummary = DatasetExportJobSummary' (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe POSIX) (Maybe Text)
- newDatasetExportJobSummary :: DatasetExportJobSummary
- data DatasetGroup = DatasetGroup' (Maybe POSIX) (Maybe Text) (Maybe Domain) (Maybe Text) (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text)
- newDatasetGroup :: DatasetGroup
- data DatasetGroupSummary = DatasetGroupSummary' (Maybe POSIX) (Maybe Text) (Maybe Domain) (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe Text)
- newDatasetGroupSummary :: DatasetGroupSummary
- data DatasetImportJob = DatasetImportJob' (Maybe POSIX) (Maybe DataSource) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe ImportMode) (Maybe Text) (Maybe POSIX) (Maybe Bool) (Maybe Text) (Maybe Text)
- newDatasetImportJob :: DatasetImportJob
- data DatasetImportJobSummary = DatasetImportJobSummary' (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe ImportMode) (Maybe Text) (Maybe POSIX) (Maybe Text)
- newDatasetImportJobSummary :: DatasetImportJobSummary
- data DatasetSchema = DatasetSchema' (Maybe POSIX) (Maybe Domain) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text)
- newDatasetSchema :: DatasetSchema
- data DatasetSchemaSummary = DatasetSchemaSummary' (Maybe POSIX) (Maybe Domain) (Maybe POSIX) (Maybe Text) (Maybe Text)
- newDatasetSchemaSummary :: DatasetSchemaSummary
- data DatasetSummary = DatasetSummary' (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe Text)
- newDatasetSummary :: DatasetSummary
- data DefaultCategoricalHyperParameterRange = DefaultCategoricalHyperParameterRange' (Maybe Bool) (Maybe Text) (Maybe [Text])
- newDefaultCategoricalHyperParameterRange :: DefaultCategoricalHyperParameterRange
- data DefaultContinuousHyperParameterRange = DefaultContinuousHyperParameterRange' (Maybe Bool) (Maybe Double) (Maybe Double) (Maybe Text)
- newDefaultContinuousHyperParameterRange :: DefaultContinuousHyperParameterRange
- data DefaultHyperParameterRanges = DefaultHyperParameterRanges' (Maybe [DefaultCategoricalHyperParameterRange]) (Maybe [DefaultContinuousHyperParameterRange]) (Maybe [DefaultIntegerHyperParameterRange])
- newDefaultHyperParameterRanges :: DefaultHyperParameterRanges
- data DefaultIntegerHyperParameterRange = DefaultIntegerHyperParameterRange' (Maybe Bool) (Maybe Int) (Maybe Int) (Maybe Text)
- newDefaultIntegerHyperParameterRange :: DefaultIntegerHyperParameterRange
- data EventTracker = EventTracker' (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text)
- newEventTracker :: EventTracker
- data EventTrackerSummary = EventTrackerSummary' (Maybe POSIX) (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe Text)
- newEventTrackerSummary :: EventTrackerSummary
- data FeatureTransformation = FeatureTransformation' (Maybe POSIX) (Maybe (HashMap Text Text)) (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe Text)
- newFeatureTransformation :: FeatureTransformation
- data Filter = Filter' (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe (Sensitive Text)) (Maybe POSIX) (Maybe Text) (Maybe Text)
- newFilter :: Filter
- data FilterSummary = FilterSummary' (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe Text)
- newFilterSummary :: FilterSummary
- data HPOConfig = HPOConfig' (Maybe HyperParameterRanges) (Maybe HPOObjective) (Maybe HPOResourceConfig)
- newHPOConfig :: HPOConfig
- data HPOObjective = HPOObjective' (Maybe Text) (Maybe Text) (Maybe Text)
- newHPOObjective :: HPOObjective
- data HPOResourceConfig = HPOResourceConfig' (Maybe Text) (Maybe Text)
- newHPOResourceConfig :: HPOResourceConfig
- data HyperParameterRanges = HyperParameterRanges' (Maybe [CategoricalHyperParameterRange]) (Maybe [ContinuousHyperParameterRange]) (Maybe [IntegerHyperParameterRange])
- newHyperParameterRanges :: HyperParameterRanges
- data IntegerHyperParameterRange = IntegerHyperParameterRange' (Maybe Int) (Maybe Int) (Maybe Text)
- newIntegerHyperParameterRange :: IntegerHyperParameterRange
- data MetricAttribute = MetricAttribute' Text Text Text
- newMetricAttribute :: Text -> Text -> Text -> MetricAttribute
- data MetricAttribution = MetricAttribution' (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe MetricAttributionOutput) (Maybe Text) (Maybe Text)
- newMetricAttribution :: MetricAttribution
- data MetricAttributionOutput = MetricAttributionOutput' (Maybe S3DataConfig) Text
- newMetricAttributionOutput :: Text -> MetricAttributionOutput
- data MetricAttributionSummary = MetricAttributionSummary' (Maybe POSIX) (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text)
- newMetricAttributionSummary :: MetricAttributionSummary
- data OptimizationObjective = OptimizationObjective' (Maybe Text) (Maybe ObjectiveSensitivity)
- newOptimizationObjective :: OptimizationObjective
- data Recipe = Recipe' (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text)
- newRecipe :: Recipe
- data RecipeSummary = RecipeSummary' (Maybe POSIX) (Maybe Domain) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text)
- newRecipeSummary :: RecipeSummary
- data Recommender = Recommender' (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe POSIX) (Maybe RecommenderUpdateSummary) (Maybe (HashMap Text Double)) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe RecommenderConfig) (Maybe Text)
- newRecommender :: Recommender
- data RecommenderConfig = RecommenderConfig' (Maybe (HashMap Text Text)) (Maybe Natural)
- newRecommenderConfig :: RecommenderConfig
- data RecommenderSummary = RecommenderSummary' (Maybe POSIX) (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe RecommenderConfig) (Maybe Text)
- newRecommenderSummary :: RecommenderSummary
- data RecommenderUpdateSummary = RecommenderUpdateSummary' (Maybe POSIX) (Maybe Text) (Maybe POSIX) (Maybe RecommenderConfig) (Maybe Text)
- newRecommenderUpdateSummary :: RecommenderUpdateSummary
- data S3DataConfig = S3DataConfig' (Maybe Text) Text
- newS3DataConfig :: Text -> S3DataConfig
- data Solution = Solution' (Maybe AutoMLResult) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe POSIX) (Maybe SolutionVersionSummary) (Maybe Text) (Maybe Bool) (Maybe Bool) (Maybe Text) (Maybe Text) (Maybe SolutionConfig) (Maybe Text)
- newSolution :: Solution
- data SolutionConfig = SolutionConfig' (Maybe (HashMap Text Text)) (Maybe AutoMLConfig) (Maybe Text) (Maybe (HashMap Text Text)) (Maybe HPOConfig) (Maybe OptimizationObjective)
- newSolutionConfig :: SolutionConfig
- data SolutionSummary = SolutionSummary' (Maybe POSIX) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text)
- newSolutionSummary :: SolutionSummary
- data SolutionVersion = SolutionVersion' (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe Bool) (Maybe Bool) (Maybe Text) (Maybe Text) (Maybe SolutionConfig) (Maybe Text) (Maybe Text) (Maybe Double) (Maybe TrainingMode) (Maybe TunedHPOParams)
- newSolutionVersion :: SolutionVersion
- data SolutionVersionSummary = SolutionVersionSummary' (Maybe POSIX) (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe Text)
- newSolutionVersionSummary :: SolutionVersionSummary
- data Tag = Tag' Text Text
- newTag :: Text -> Text -> Tag
- data TunedHPOParams = TunedHPOParams' (Maybe (HashMap Text Text))
- newTunedHPOParams :: TunedHPOParams
Service Configuration
defaultService :: Service Source #
API version 2018-05-22
of the Amazon Personalize SDK configuration.
Errors
Error matchers are designed for use with the functions provided by
Control.Exception.Lens.
This allows catching (and rethrowing) service specific errors returned
by Personalize
.
InvalidInputException
_InvalidInputException :: AsError a => Fold a ServiceError Source #
Provide a valid value for the field or parameter.
InvalidNextTokenException
_InvalidNextTokenException :: AsError a => Fold a ServiceError Source #
The token is not valid.
LimitExceededException
_LimitExceededException :: AsError a => Fold a ServiceError Source #
The limit on the number of requests per second has been exceeded.
ResourceAlreadyExistsException
_ResourceAlreadyExistsException :: AsError a => Fold a ServiceError Source #
The specified resource already exists.
ResourceInUseException
_ResourceInUseException :: AsError a => Fold a ServiceError Source #
The specified resource is in use.
ResourceNotFoundException
_ResourceNotFoundException :: AsError a => Fold a ServiceError Source #
Could not find the specified resource.
TooManyTagKeysException
_TooManyTagKeysException :: AsError a => Fold a ServiceError Source #
The request contains more tag keys than can be associated with a resource (50 tag keys per resource).
TooManyTagsException
_TooManyTagsException :: AsError a => Fold a ServiceError Source #
You have exceeded the maximum number of tags you can apply to this resource.
Waiters
Waiters poll by repeatedly sending a request until some remote success condition
configured by the Wait
specification is fulfilled. The Wait
specification
determines how many attempts should be made, in addition to delay and retry strategies.
Operations
Some AWS operations return results that are incomplete and require subsequent
requests in order to obtain the entire result set. The process of sending
subsequent requests to continue where a previous request left off is called
pagination. For example, the ListObjects
operation of Amazon S3 returns up to
1000 objects at a time, and you must send subsequent requests with the
appropriate Marker in order to retrieve the next page of results.
Operations that have an AWSPager
instance can transparently perform subsequent
requests, correctly setting Markers and other request facets to iterate through
the entire result set of a truncated API operation. Operations which support
this have an additional note in the documentation.
Many operations have the ability to filter results on the server side. See the individual operation parameters for details.
CreateBatchInferenceJob
data CreateBatchInferenceJob Source #
See: newCreateBatchInferenceJob
smart constructor.
CreateBatchInferenceJob' (Maybe BatchInferenceJobConfig) (Maybe Text) (Maybe Int) (Maybe [Tag]) Text Text BatchInferenceJobInput BatchInferenceJobOutput Text |
Instances
newCreateBatchInferenceJob Source #
Create a value of CreateBatchInferenceJob
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
CreateBatchInferenceJob
, createBatchInferenceJob_batchInferenceJobConfig
- The configuration details of a batch inference job.
CreateBatchInferenceJob
, createBatchInferenceJob_filterArn
- The ARN of the filter to apply to the batch inference job. For more
information on using filters, see
Filtering batch recommendations.
CreateBatchInferenceJob
, createBatchInferenceJob_numResults
- The number of recommendations to retrieve.
$sel:tags:CreateBatchInferenceJob'
, createBatchInferenceJob_tags
- A list of
tags
to apply to the batch inference job.
CreateBatchInferenceJob
, createBatchInferenceJob_jobName
- The name of the batch inference job to create.
CreateBatchInferenceJob
, createBatchInferenceJob_solutionVersionArn
- The Amazon Resource Name (ARN) of the solution version that will be used
to generate the batch inference recommendations.
CreateBatchInferenceJob
, createBatchInferenceJob_jobInput
- The Amazon S3 path that leads to the input file to base your
recommendations on. The input material must be in JSON format.
CreateBatchInferenceJob
, createBatchInferenceJob_jobOutput
- The path to the Amazon S3 bucket where the job's output will be stored.
CreateBatchInferenceJob
, createBatchInferenceJob_roleArn
- The ARN of the Amazon Identity and Access Management role that has
permissions to read and write to your input and output Amazon S3 buckets
respectively.
data CreateBatchInferenceJobResponse Source #
See: newCreateBatchInferenceJobResponse
smart constructor.
Instances
Generic CreateBatchInferenceJobResponse Source # | |
Read CreateBatchInferenceJobResponse Source # | |
Show CreateBatchInferenceJobResponse Source # | |
Defined in Amazonka.Personalize.CreateBatchInferenceJob | |
NFData CreateBatchInferenceJobResponse Source # | |
Defined in Amazonka.Personalize.CreateBatchInferenceJob rnf :: CreateBatchInferenceJobResponse -> () # | |
Eq CreateBatchInferenceJobResponse Source # | |
type Rep CreateBatchInferenceJobResponse Source # | |
Defined in Amazonka.Personalize.CreateBatchInferenceJob type Rep CreateBatchInferenceJobResponse = D1 ('MetaData "CreateBatchInferenceJobResponse" "Amazonka.Personalize.CreateBatchInferenceJob" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "CreateBatchInferenceJobResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "batchInferenceJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int))) |
newCreateBatchInferenceJobResponse Source #
Create a value of CreateBatchInferenceJobResponse
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
CreateBatchInferenceJobResponse
, createBatchInferenceJobResponse_batchInferenceJobArn
- The ARN of the batch inference job.
$sel:httpStatus:CreateBatchInferenceJobResponse'
, createBatchInferenceJobResponse_httpStatus
- The response's http status code.
CreateBatchSegmentJob
data CreateBatchSegmentJob Source #
See: newCreateBatchSegmentJob
smart constructor.
CreateBatchSegmentJob' (Maybe Text) (Maybe Int) (Maybe [Tag]) Text Text BatchSegmentJobInput BatchSegmentJobOutput Text |
Instances
newCreateBatchSegmentJob Source #
Create a value of CreateBatchSegmentJob
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
CreateBatchSegmentJob
, createBatchSegmentJob_filterArn
- The ARN of the filter to apply to the batch segment job. For more
information on using filters, see
Filtering batch recommendations.
CreateBatchSegmentJob
, createBatchSegmentJob_numResults
- The number of predicted users generated by the batch segment job for
each line of input data.
$sel:tags:CreateBatchSegmentJob'
, createBatchSegmentJob_tags
- A list of
tags
to apply to the batch segment job.
CreateBatchSegmentJob
, createBatchSegmentJob_jobName
- The name of the batch segment job to create.
CreateBatchSegmentJob
, createBatchSegmentJob_solutionVersionArn
- The Amazon Resource Name (ARN) of the solution version you want the
batch segment job to use to generate batch segments.
CreateBatchSegmentJob
, createBatchSegmentJob_jobInput
- The Amazon S3 path for the input data used to generate the batch segment
job.
CreateBatchSegmentJob
, createBatchSegmentJob_jobOutput
- The Amazon S3 path for the bucket where the job's output will be
stored.
CreateBatchSegmentJob
, createBatchSegmentJob_roleArn
- The ARN of the Amazon Identity and Access Management role that has
permissions to read and write to your input and output Amazon S3 buckets
respectively.
data CreateBatchSegmentJobResponse Source #
See: newCreateBatchSegmentJobResponse
smart constructor.
Instances
newCreateBatchSegmentJobResponse Source #
Create a value of CreateBatchSegmentJobResponse
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
CreateBatchSegmentJobResponse
, createBatchSegmentJobResponse_batchSegmentJobArn
- The ARN of the batch segment job.
$sel:httpStatus:CreateBatchSegmentJobResponse'
, createBatchSegmentJobResponse_httpStatus
- The response's http status code.
CreateCampaign
data CreateCampaign Source #
See: newCreateCampaign
smart constructor.
CreateCampaign' (Maybe CampaignConfig) (Maybe Natural) (Maybe [Tag]) Text Text |
Instances
Create a value of CreateCampaign
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
CreateCampaign
, createCampaign_campaignConfig
- The configuration details of a campaign.
CreateCampaign
, createCampaign_minProvisionedTPS
- Specifies the requested minimum provisioned transactions
(recommendations) per second that Amazon Personalize will support.
$sel:tags:CreateCampaign'
, createCampaign_tags
- A list of
tags
to apply to the campaign.
CreateCampaign
, createCampaign_name
- A name for the new campaign. The campaign name must be unique within
your account.
CreateCampaign
, createCampaign_solutionVersionArn
- The Amazon Resource Name (ARN) of the solution version to deploy.
data CreateCampaignResponse Source #
See: newCreateCampaignResponse
smart constructor.
Instances
newCreateCampaignResponse Source #
Create a value of CreateCampaignResponse
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
CreateCampaignResponse
, createCampaignResponse_campaignArn
- The Amazon Resource Name (ARN) of the campaign.
$sel:httpStatus:CreateCampaignResponse'
, createCampaignResponse_httpStatus
- The response's http status code.
CreateDataset
data CreateDataset Source #
See: newCreateDataset
smart constructor.
Instances
Create a value of CreateDataset
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:tags:CreateDataset'
, createDataset_tags
- A list of
tags
to apply to the dataset.
CreateDataset
, createDataset_name
- The name for the dataset.
CreateDataset
, createDataset_schemaArn
- The ARN of the schema to associate with the dataset. The schema defines
the dataset fields.
CreateDataset
, createDataset_datasetGroupArn
- The Amazon Resource Name (ARN) of the dataset group to add the dataset
to.
CreateDataset
, createDataset_datasetType
- The type of dataset.
One of the following (case insensitive) values:
- Interactions
- Items
- Users
data CreateDatasetResponse Source #
See: newCreateDatasetResponse
smart constructor.
Instances
newCreateDatasetResponse Source #
Create a value of CreateDatasetResponse
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
CreateDatasetResponse
, createDatasetResponse_datasetArn
- The ARN of the dataset.
$sel:httpStatus:CreateDatasetResponse'
, createDatasetResponse_httpStatus
- The response's http status code.
CreateDatasetExportJob
data CreateDatasetExportJob Source #
See: newCreateDatasetExportJob
smart constructor.
Instances
newCreateDatasetExportJob Source #
:: Text | |
-> Text | |
-> Text | |
-> DatasetExportJobOutput | |
-> CreateDatasetExportJob |
Create a value of CreateDatasetExportJob
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
CreateDatasetExportJob
, createDatasetExportJob_ingestionMode
- The data to export, based on how you imported the data. You can choose
to export only BULK
data that you imported using a dataset import job,
only PUT
data that you imported incrementally (using the console,
PutEvents, PutUsers and PutItems operations), or ALL
for both types.
The default value is PUT
.
$sel:tags:CreateDatasetExportJob'
, createDatasetExportJob_tags
- A list of
tags
to apply to the dataset export job.
CreateDatasetExportJob
, createDatasetExportJob_jobName
- The name for the dataset export job.
CreateDatasetExportJob
, createDatasetExportJob_datasetArn
- The Amazon Resource Name (ARN) of the dataset that contains the data to
export.
CreateDatasetExportJob
, createDatasetExportJob_roleArn
- The Amazon Resource Name (ARN) of the IAM service role that has
permissions to add data to your output Amazon S3 bucket.
CreateDatasetExportJob
, createDatasetExportJob_jobOutput
- The path to the Amazon S3 bucket where the job's output is stored.
data CreateDatasetExportJobResponse Source #
See: newCreateDatasetExportJobResponse
smart constructor.
Instances
Generic CreateDatasetExportJobResponse Source # | |
Read CreateDatasetExportJobResponse Source # | |
Show CreateDatasetExportJobResponse Source # | |
Defined in Amazonka.Personalize.CreateDatasetExportJob | |
NFData CreateDatasetExportJobResponse Source # | |
Defined in Amazonka.Personalize.CreateDatasetExportJob rnf :: CreateDatasetExportJobResponse -> () # | |
Eq CreateDatasetExportJobResponse Source # | |
type Rep CreateDatasetExportJobResponse Source # | |
Defined in Amazonka.Personalize.CreateDatasetExportJob type Rep CreateDatasetExportJobResponse = D1 ('MetaData "CreateDatasetExportJobResponse" "Amazonka.Personalize.CreateDatasetExportJob" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "CreateDatasetExportJobResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "datasetExportJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int))) |
newCreateDatasetExportJobResponse Source #
Create a value of CreateDatasetExportJobResponse
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
CreateDatasetExportJobResponse
, createDatasetExportJobResponse_datasetExportJobArn
- The Amazon Resource Name (ARN) of the dataset export job.
$sel:httpStatus:CreateDatasetExportJobResponse'
, createDatasetExportJobResponse_httpStatus
- The response's http status code.
CreateDatasetGroup
data CreateDatasetGroup Source #
See: newCreateDatasetGroup
smart constructor.
Instances
newCreateDatasetGroup Source #
Create a value of CreateDatasetGroup
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
CreateDatasetGroup
, createDatasetGroup_domain
- The domain of the dataset group. Specify a domain to create a Domain
dataset group. The domain you specify determines the default schemas for
datasets and the use cases available for recommenders. If you don't
specify a domain, you create a Custom dataset group with solution
versions that you deploy with a campaign.
CreateDatasetGroup
, createDatasetGroup_kmsKeyArn
- The Amazon Resource Name (ARN) of a Key Management Service (KMS) key
used to encrypt the datasets.
CreateDatasetGroup
, createDatasetGroup_roleArn
- The ARN of the Identity and Access Management (IAM) role that has
permissions to access the Key Management Service (KMS) key. Supplying an
IAM role is only valid when also specifying a KMS key.
$sel:tags:CreateDatasetGroup'
, createDatasetGroup_tags
- A list of
tags
to apply to the dataset group.
CreateDatasetGroup
, createDatasetGroup_name
- The name for the new dataset group.
data CreateDatasetGroupResponse Source #
See: newCreateDatasetGroupResponse
smart constructor.
Instances
newCreateDatasetGroupResponse Source #
Create a value of CreateDatasetGroupResponse
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
CreateDatasetGroupResponse
, createDatasetGroupResponse_datasetGroupArn
- The Amazon Resource Name (ARN) of the new dataset group.
CreateDatasetGroup
, createDatasetGroupResponse_domain
- The domain for the new Domain dataset group.
$sel:httpStatus:CreateDatasetGroupResponse'
, createDatasetGroupResponse_httpStatus
- The response's http status code.
CreateDatasetImportJob
data CreateDatasetImportJob Source #
See: newCreateDatasetImportJob
smart constructor.
Instances
newCreateDatasetImportJob Source #
:: Text | |
-> Text | |
-> DataSource | |
-> Text | |
-> CreateDatasetImportJob |
Create a value of CreateDatasetImportJob
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
CreateDatasetImportJob
, createDatasetImportJob_importMode
- Specify how to add the new records to an existing dataset. The default
import mode is FULL
. If you haven't imported bulk records into the
dataset previously, you can only specify FULL
.
- Specify
FULL
to overwrite all existing bulk data in your dataset. Data you imported individually is not replaced. - Specify
INCREMENTAL
to append the new records to the existing data in your dataset. Amazon Personalize replaces any record with the same ID with the new one.
CreateDatasetImportJob
, createDatasetImportJob_publishAttributionMetricsToS3
- If you created a metric attribution, specify whether to publish metrics
for this import job to Amazon S3
$sel:tags:CreateDatasetImportJob'
, createDatasetImportJob_tags
- A list of
tags
to apply to the dataset import job.
CreateDatasetImportJob
, createDatasetImportJob_jobName
- The name for the dataset import job.
CreateDatasetImportJob
, createDatasetImportJob_datasetArn
- The ARN of the dataset that receives the imported data.
CreateDatasetImportJob
, createDatasetImportJob_dataSource
- The Amazon S3 bucket that contains the training data to import.
CreateDatasetImportJob
, createDatasetImportJob_roleArn
- The ARN of the IAM role that has permissions to read from the Amazon S3
data source.
data CreateDatasetImportJobResponse Source #
See: newCreateDatasetImportJobResponse
smart constructor.
Instances
Generic CreateDatasetImportJobResponse Source # | |
Read CreateDatasetImportJobResponse Source # | |
Show CreateDatasetImportJobResponse Source # | |
Defined in Amazonka.Personalize.CreateDatasetImportJob | |
NFData CreateDatasetImportJobResponse Source # | |
Defined in Amazonka.Personalize.CreateDatasetImportJob rnf :: CreateDatasetImportJobResponse -> () # | |
Eq CreateDatasetImportJobResponse Source # | |
type Rep CreateDatasetImportJobResponse Source # | |
Defined in Amazonka.Personalize.CreateDatasetImportJob type Rep CreateDatasetImportJobResponse = D1 ('MetaData "CreateDatasetImportJobResponse" "Amazonka.Personalize.CreateDatasetImportJob" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "CreateDatasetImportJobResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "datasetImportJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int))) |
newCreateDatasetImportJobResponse Source #
Create a value of CreateDatasetImportJobResponse
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
CreateDatasetImportJobResponse
, createDatasetImportJobResponse_datasetImportJobArn
- The ARN of the dataset import job.
$sel:httpStatus:CreateDatasetImportJobResponse'
, createDatasetImportJobResponse_httpStatus
- The response's http status code.
CreateEventTracker
data CreateEventTracker Source #
See: newCreateEventTracker
smart constructor.
Instances
newCreateEventTracker Source #
Create a value of CreateEventTracker
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:tags:CreateEventTracker'
, createEventTracker_tags
- A list of
tags
to apply to the event tracker.
CreateEventTracker
, createEventTracker_name
- The name for the event tracker.
CreateEventTracker
, createEventTracker_datasetGroupArn
- The Amazon Resource Name (ARN) of the dataset group that receives the
event data.
data CreateEventTrackerResponse Source #
See: newCreateEventTrackerResponse
smart constructor.
Instances
newCreateEventTrackerResponse Source #
Create a value of CreateEventTrackerResponse
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
CreateEventTrackerResponse
, createEventTrackerResponse_eventTrackerArn
- The ARN of the event tracker.
CreateEventTrackerResponse
, createEventTrackerResponse_trackingId
- The ID of the event tracker. Include this ID in requests to the
PutEvents
API.
$sel:httpStatus:CreateEventTrackerResponse'
, createEventTrackerResponse_httpStatus
- The response's http status code.
CreateFilter
data CreateFilter Source #
See: newCreateFilter
smart constructor.
Instances
Create a value of CreateFilter
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:tags:CreateFilter'
, createFilter_tags
- A list of
tags
to apply to the filter.
CreateFilter
, createFilter_name
- The name of the filter to create.
CreateFilter
, createFilter_datasetGroupArn
- The ARN of the dataset group that the filter will belong to.
CreateFilter
, createFilter_filterExpression
- The filter expression defines which items are included or excluded from
recommendations. Filter expression must follow specific format rules.
For information about filter expression structure and syntax, see
Filter expressions.
data CreateFilterResponse Source #
See: newCreateFilterResponse
smart constructor.
Instances
newCreateFilterResponse Source #
Create a value of CreateFilterResponse
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
CreateFilterResponse
, createFilterResponse_filterArn
- The ARN of the new filter.
$sel:httpStatus:CreateFilterResponse'
, createFilterResponse_httpStatus
- The response's http status code.
CreateMetricAttribution
data CreateMetricAttribution Source #
See: newCreateMetricAttribution
smart constructor.
Instances
newCreateMetricAttribution Source #
Create a value of CreateMetricAttribution
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
CreateMetricAttribution
, createMetricAttribution_name
- A name for the metric attribution.
CreateMetricAttribution
, createMetricAttribution_datasetGroupArn
- The Amazon Resource Name (ARN) of the destination dataset group for the
metric attribution.
$sel:metrics:CreateMetricAttribution'
, createMetricAttribution_metrics
- A list of metric attributes for the metric attribution. Each metric
attribute specifies an event type to track and a function. Available
functions are SUM()
or SAMPLECOUNT()
. For SUM() functions, provide
the dataset type (either Interactions or Items) and column to sum as a
parameter. For example SUM(Items.PRICE).
CreateMetricAttribution
, createMetricAttribution_metricsOutputConfig
- The output configuration details for the metric attribution.
data CreateMetricAttributionResponse Source #
See: newCreateMetricAttributionResponse
smart constructor.
Instances
Generic CreateMetricAttributionResponse Source # | |
Read CreateMetricAttributionResponse Source # | |
Show CreateMetricAttributionResponse Source # | |
Defined in Amazonka.Personalize.CreateMetricAttribution | |
NFData CreateMetricAttributionResponse Source # | |
Defined in Amazonka.Personalize.CreateMetricAttribution rnf :: CreateMetricAttributionResponse -> () # | |
Eq CreateMetricAttributionResponse Source # | |
type Rep CreateMetricAttributionResponse Source # | |
Defined in Amazonka.Personalize.CreateMetricAttribution type Rep CreateMetricAttributionResponse = D1 ('MetaData "CreateMetricAttributionResponse" "Amazonka.Personalize.CreateMetricAttribution" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "CreateMetricAttributionResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "metricAttributionArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int))) |
newCreateMetricAttributionResponse Source #
Create a value of CreateMetricAttributionResponse
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
CreateMetricAttributionResponse
, createMetricAttributionResponse_metricAttributionArn
- The Amazon Resource Name (ARN) for the new metric attribution.
$sel:httpStatus:CreateMetricAttributionResponse'
, createMetricAttributionResponse_httpStatus
- The response's http status code.
CreateRecommender
data CreateRecommender Source #
See: newCreateRecommender
smart constructor.
Instances
Create a value of CreateRecommender
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
CreateRecommender
, createRecommender_recommenderConfig
- The configuration details of the recommender.
$sel:tags:CreateRecommender'
, createRecommender_tags
- A list of
tags
to apply to the recommender.
CreateRecommender
, createRecommender_name
- The name of the recommender.
CreateRecommender
, createRecommender_datasetGroupArn
- The Amazon Resource Name (ARN) of the destination domain dataset group
for the recommender.
CreateRecommender
, createRecommender_recipeArn
- The Amazon Resource Name (ARN) of the recipe that the recommender will
use. For a recommender, a recipe is a Domain dataset group use case.
Only Domain dataset group use cases can be used to create a recommender.
For information about use cases see
Choosing recommender use cases.
data CreateRecommenderResponse Source #
See: newCreateRecommenderResponse
smart constructor.
Instances
newCreateRecommenderResponse Source #
Create a value of CreateRecommenderResponse
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
CreateRecommenderResponse
, createRecommenderResponse_recommenderArn
- The Amazon Resource Name (ARN) of the recommender.
$sel:httpStatus:CreateRecommenderResponse'
, createRecommenderResponse_httpStatus
- The response's http status code.
CreateSchema
data CreateSchema Source #
See: newCreateSchema
smart constructor.
Instances
Create a value of CreateSchema
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
CreateSchema
, createSchema_domain
- The domain for the schema. If you are creating a schema for a dataset in
a Domain dataset group, specify the domain you chose when you created
the Domain dataset group.
CreateSchema
, createSchema_name
- The name for the schema.
CreateSchema
, createSchema_schema
- A schema in Avro JSON format.
data CreateSchemaResponse Source #
See: newCreateSchemaResponse
smart constructor.
Instances
newCreateSchemaResponse Source #
Create a value of CreateSchemaResponse
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
CreateSchemaResponse
, createSchemaResponse_schemaArn
- The Amazon Resource Name (ARN) of the created schema.
$sel:httpStatus:CreateSchemaResponse'
, createSchemaResponse_httpStatus
- The response's http status code.
CreateSolution
data CreateSolution Source #
See: newCreateSolution
smart constructor.
CreateSolution' (Maybe Text) (Maybe Bool) (Maybe Bool) (Maybe Text) (Maybe SolutionConfig) (Maybe [Tag]) Text Text |
Instances
Create a value of CreateSolution
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
CreateSolution
, createSolution_eventType
- When your have multiple event types (using an EVENT_TYPE
schema
field), this parameter specifies which event type (for example,
'click' or 'like') is used for training the model.
If you do not provide an eventType
, Amazon Personalize will use all
interactions for training with equal weight regardless of type.
CreateSolution
, createSolution_performAutoML
- Whether to perform automated machine learning (AutoML). The default is
false
. For this case, you must specify recipeArn
.
When set to true
, Amazon Personalize analyzes your training data and
selects the optimal USER_PERSONALIZATION recipe and hyperparameters. In
this case, you must omit recipeArn
. Amazon Personalize determines the
optimal recipe by running tests with different values for the
hyperparameters. AutoML lengthens the training process as compared to
selecting a specific recipe.
CreateSolution
, createSolution_performHPO
- Whether to perform hyperparameter optimization (HPO) on the specified or
selected recipe. The default is false
.
When performing AutoML, this parameter is always true
and you should
not set it to false
.
CreateSolution
, createSolution_recipeArn
- The ARN of the recipe to use for model training. Only specified when
performAutoML
is false.
CreateSolution
, createSolution_solutionConfig
- The configuration to use with the solution. When performAutoML
is set
to true, Amazon Personalize only evaluates the autoMLConfig
section of
the solution configuration.
Amazon Personalize doesn't support configuring the hpoObjective
at
this time.
$sel:tags:CreateSolution'
, createSolution_tags
- A list of
tags
to apply to the solution.
CreateSolution
, createSolution_name
- The name for the solution.
CreateSolution
, createSolution_datasetGroupArn
- The Amazon Resource Name (ARN) of the dataset group that provides the
training data.
data CreateSolutionResponse Source #
See: newCreateSolutionResponse
smart constructor.
Instances
newCreateSolutionResponse Source #
Create a value of CreateSolutionResponse
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
CreateSolutionResponse
, createSolutionResponse_solutionArn
- The ARN of the solution.
$sel:httpStatus:CreateSolutionResponse'
, createSolutionResponse_httpStatus
- The response's http status code.
CreateSolutionVersion
data CreateSolutionVersion Source #
See: newCreateSolutionVersion
smart constructor.
CreateSolutionVersion' (Maybe Text) (Maybe [Tag]) (Maybe TrainingMode) Text |
Instances
newCreateSolutionVersion Source #
Create a value of CreateSolutionVersion
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
CreateSolutionVersion
, createSolutionVersion_name
- The name of the solution version.
$sel:tags:CreateSolutionVersion'
, createSolutionVersion_tags
- A list of
tags
to apply to the solution version.
CreateSolutionVersion
, createSolutionVersion_trainingMode
- The scope of training to be performed when creating the solution
version. The FULL
option trains the solution version based on the
entirety of the input solution's training data, while the UPDATE
option processes only the data that has changed in comparison to the
input solution. Choose UPDATE
when you want to incrementally update
your solution version instead of creating an entirely new one.
The UPDATE
option can only be used when you already have an active
solution version created from the input solution using the FULL
option
and the input solution was trained with the
User-Personalization
recipe or the
HRNN-Coldstart
recipe.
CreateSolutionVersion
, createSolutionVersion_solutionArn
- The Amazon Resource Name (ARN) of the solution containing the training
configuration information.
data CreateSolutionVersionResponse Source #
See: newCreateSolutionVersionResponse
smart constructor.
Instances
newCreateSolutionVersionResponse Source #
Create a value of CreateSolutionVersionResponse
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
CreateSolutionVersionResponse
, createSolutionVersionResponse_solutionVersionArn
- The ARN of the new solution version.
$sel:httpStatus:CreateSolutionVersionResponse'
, createSolutionVersionResponse_httpStatus
- The response's http status code.
DeleteCampaign
data DeleteCampaign Source #
See: newDeleteCampaign
smart constructor.
Instances
Create a value of DeleteCampaign
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
DeleteCampaign
, deleteCampaign_campaignArn
- The Amazon Resource Name (ARN) of the campaign to delete.
data DeleteCampaignResponse Source #
See: newDeleteCampaignResponse
smart constructor.
Instances
Generic DeleteCampaignResponse Source # | |
Defined in Amazonka.Personalize.DeleteCampaign type Rep DeleteCampaignResponse :: Type -> Type # | |
Read DeleteCampaignResponse Source # | |
Show DeleteCampaignResponse Source # | |
Defined in Amazonka.Personalize.DeleteCampaign showsPrec :: Int -> DeleteCampaignResponse -> ShowS # show :: DeleteCampaignResponse -> String # showList :: [DeleteCampaignResponse] -> ShowS # | |
NFData DeleteCampaignResponse Source # | |
Defined in Amazonka.Personalize.DeleteCampaign rnf :: DeleteCampaignResponse -> () # | |
Eq DeleteCampaignResponse Source # | |
Defined in Amazonka.Personalize.DeleteCampaign | |
type Rep DeleteCampaignResponse Source # | |
newDeleteCampaignResponse :: DeleteCampaignResponse Source #
Create a value of DeleteCampaignResponse
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
DeleteDataset
data DeleteDataset Source #
See: newDeleteDataset
smart constructor.
Instances
Create a value of DeleteDataset
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
DeleteDataset
, deleteDataset_datasetArn
- The Amazon Resource Name (ARN) of the dataset to delete.
data DeleteDatasetResponse Source #
See: newDeleteDatasetResponse
smart constructor.
Instances
Generic DeleteDatasetResponse Source # | |
Defined in Amazonka.Personalize.DeleteDataset type Rep DeleteDatasetResponse :: Type -> Type # | |
Read DeleteDatasetResponse Source # | |
Show DeleteDatasetResponse Source # | |
Defined in Amazonka.Personalize.DeleteDataset showsPrec :: Int -> DeleteDatasetResponse -> ShowS # show :: DeleteDatasetResponse -> String # showList :: [DeleteDatasetResponse] -> ShowS # | |
NFData DeleteDatasetResponse Source # | |
Defined in Amazonka.Personalize.DeleteDataset rnf :: DeleteDatasetResponse -> () # | |
Eq DeleteDatasetResponse Source # | |
Defined in Amazonka.Personalize.DeleteDataset (==) :: DeleteDatasetResponse -> DeleteDatasetResponse -> Bool # (/=) :: DeleteDatasetResponse -> DeleteDatasetResponse -> Bool # | |
type Rep DeleteDatasetResponse Source # | |
newDeleteDatasetResponse :: DeleteDatasetResponse Source #
Create a value of DeleteDatasetResponse
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
DeleteDatasetGroup
data DeleteDatasetGroup Source #
See: newDeleteDatasetGroup
smart constructor.
Instances
newDeleteDatasetGroup Source #
Create a value of DeleteDatasetGroup
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
DeleteDatasetGroup
, deleteDatasetGroup_datasetGroupArn
- The ARN of the dataset group to delete.
data DeleteDatasetGroupResponse Source #
See: newDeleteDatasetGroupResponse
smart constructor.
Instances
newDeleteDatasetGroupResponse :: DeleteDatasetGroupResponse Source #
Create a value of DeleteDatasetGroupResponse
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
DeleteEventTracker
data DeleteEventTracker Source #
See: newDeleteEventTracker
smart constructor.
Instances
newDeleteEventTracker Source #
Create a value of DeleteEventTracker
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
DeleteEventTracker
, deleteEventTracker_eventTrackerArn
- The Amazon Resource Name (ARN) of the event tracker to delete.
data DeleteEventTrackerResponse Source #
See: newDeleteEventTrackerResponse
smart constructor.
Instances
newDeleteEventTrackerResponse :: DeleteEventTrackerResponse Source #
Create a value of DeleteEventTrackerResponse
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
DeleteFilter
data DeleteFilter Source #
See: newDeleteFilter
smart constructor.
Instances
Create a value of DeleteFilter
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
DeleteFilter
, deleteFilter_filterArn
- The ARN of the filter to delete.
data DeleteFilterResponse Source #
See: newDeleteFilterResponse
smart constructor.
Instances
Generic DeleteFilterResponse Source # | |
Defined in Amazonka.Personalize.DeleteFilter type Rep DeleteFilterResponse :: Type -> Type # from :: DeleteFilterResponse -> Rep DeleteFilterResponse x # to :: Rep DeleteFilterResponse x -> DeleteFilterResponse # | |
Read DeleteFilterResponse Source # | |
Show DeleteFilterResponse Source # | |
Defined in Amazonka.Personalize.DeleteFilter showsPrec :: Int -> DeleteFilterResponse -> ShowS # show :: DeleteFilterResponse -> String # showList :: [DeleteFilterResponse] -> ShowS # | |
NFData DeleteFilterResponse Source # | |
Defined in Amazonka.Personalize.DeleteFilter rnf :: DeleteFilterResponse -> () # | |
Eq DeleteFilterResponse Source # | |
Defined in Amazonka.Personalize.DeleteFilter (==) :: DeleteFilterResponse -> DeleteFilterResponse -> Bool # (/=) :: DeleteFilterResponse -> DeleteFilterResponse -> Bool # | |
type Rep DeleteFilterResponse Source # | |
newDeleteFilterResponse :: DeleteFilterResponse Source #
Create a value of DeleteFilterResponse
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
DeleteMetricAttribution
data DeleteMetricAttribution Source #
See: newDeleteMetricAttribution
smart constructor.
Instances
newDeleteMetricAttribution Source #
Create a value of DeleteMetricAttribution
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
DeleteMetricAttribution
, deleteMetricAttribution_metricAttributionArn
- The metric attribution's Amazon Resource Name (ARN).
data DeleteMetricAttributionResponse Source #
See: newDeleteMetricAttributionResponse
smart constructor.
Instances
newDeleteMetricAttributionResponse :: DeleteMetricAttributionResponse Source #
Create a value of DeleteMetricAttributionResponse
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
DeleteRecommender
data DeleteRecommender Source #
See: newDeleteRecommender
smart constructor.
Instances
Create a value of DeleteRecommender
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
DeleteRecommender
, deleteRecommender_recommenderArn
- The Amazon Resource Name (ARN) of the recommender to delete.
data DeleteRecommenderResponse Source #
See: newDeleteRecommenderResponse
smart constructor.
Instances
newDeleteRecommenderResponse :: DeleteRecommenderResponse Source #
Create a value of DeleteRecommenderResponse
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
DeleteSchema
data DeleteSchema Source #
See: newDeleteSchema
smart constructor.
Instances
Create a value of DeleteSchema
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
DeleteSchema
, deleteSchema_schemaArn
- The Amazon Resource Name (ARN) of the schema to delete.
data DeleteSchemaResponse Source #
See: newDeleteSchemaResponse
smart constructor.
Instances
Generic DeleteSchemaResponse Source # | |
Defined in Amazonka.Personalize.DeleteSchema type Rep DeleteSchemaResponse :: Type -> Type # from :: DeleteSchemaResponse -> Rep DeleteSchemaResponse x # to :: Rep DeleteSchemaResponse x -> DeleteSchemaResponse # | |
Read DeleteSchemaResponse Source # | |
Show DeleteSchemaResponse Source # | |
Defined in Amazonka.Personalize.DeleteSchema showsPrec :: Int -> DeleteSchemaResponse -> ShowS # show :: DeleteSchemaResponse -> String # showList :: [DeleteSchemaResponse] -> ShowS # | |
NFData DeleteSchemaResponse Source # | |
Defined in Amazonka.Personalize.DeleteSchema rnf :: DeleteSchemaResponse -> () # | |
Eq DeleteSchemaResponse Source # | |
Defined in Amazonka.Personalize.DeleteSchema (==) :: DeleteSchemaResponse -> DeleteSchemaResponse -> Bool # (/=) :: DeleteSchemaResponse -> DeleteSchemaResponse -> Bool # | |
type Rep DeleteSchemaResponse Source # | |
newDeleteSchemaResponse :: DeleteSchemaResponse Source #
Create a value of DeleteSchemaResponse
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
DeleteSolution
data DeleteSolution Source #
See: newDeleteSolution
smart constructor.
Instances
Create a value of DeleteSolution
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
DeleteSolution
, deleteSolution_solutionArn
- The ARN of the solution to delete.
data DeleteSolutionResponse Source #
See: newDeleteSolutionResponse
smart constructor.
Instances
Generic DeleteSolutionResponse Source # | |
Defined in Amazonka.Personalize.DeleteSolution type Rep DeleteSolutionResponse :: Type -> Type # | |
Read DeleteSolutionResponse Source # | |
Show DeleteSolutionResponse Source # | |
Defined in Amazonka.Personalize.DeleteSolution showsPrec :: Int -> DeleteSolutionResponse -> ShowS # show :: DeleteSolutionResponse -> String # showList :: [DeleteSolutionResponse] -> ShowS # | |
NFData DeleteSolutionResponse Source # | |
Defined in Amazonka.Personalize.DeleteSolution rnf :: DeleteSolutionResponse -> () # | |
Eq DeleteSolutionResponse Source # | |
Defined in Amazonka.Personalize.DeleteSolution | |
type Rep DeleteSolutionResponse Source # | |
newDeleteSolutionResponse :: DeleteSolutionResponse Source #
Create a value of DeleteSolutionResponse
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
DescribeAlgorithm
data DescribeAlgorithm Source #
See: newDescribeAlgorithm
smart constructor.
Instances
Create a value of DescribeAlgorithm
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
DescribeAlgorithm
, describeAlgorithm_algorithmArn
- The Amazon Resource Name (ARN) of the algorithm to describe.
data DescribeAlgorithmResponse Source #
See: newDescribeAlgorithmResponse
smart constructor.
Instances
newDescribeAlgorithmResponse Source #
Create a value of DescribeAlgorithmResponse
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:algorithm:DescribeAlgorithmResponse'
, describeAlgorithmResponse_algorithm
- A listing of the properties of the algorithm.
$sel:httpStatus:DescribeAlgorithmResponse'
, describeAlgorithmResponse_httpStatus
- The response's http status code.
DescribeBatchInferenceJob
data DescribeBatchInferenceJob Source #
See: newDescribeBatchInferenceJob
smart constructor.
Instances
newDescribeBatchInferenceJob Source #
Create a value of DescribeBatchInferenceJob
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
DescribeBatchInferenceJob
, describeBatchInferenceJob_batchInferenceJobArn
- The ARN of the batch inference job to describe.
data DescribeBatchInferenceJobResponse Source #
See: newDescribeBatchInferenceJobResponse
smart constructor.
Instances
Generic DescribeBatchInferenceJobResponse Source # | |
Read DescribeBatchInferenceJobResponse Source # | |
Show DescribeBatchInferenceJobResponse Source # | |
NFData DescribeBatchInferenceJobResponse Source # | |
Defined in Amazonka.Personalize.DescribeBatchInferenceJob rnf :: DescribeBatchInferenceJobResponse -> () # | |
Eq DescribeBatchInferenceJobResponse Source # | |
type Rep DescribeBatchInferenceJobResponse Source # | |
Defined in Amazonka.Personalize.DescribeBatchInferenceJob type Rep DescribeBatchInferenceJobResponse = D1 ('MetaData "DescribeBatchInferenceJobResponse" "Amazonka.Personalize.DescribeBatchInferenceJob" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "DescribeBatchInferenceJobResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "batchInferenceJob") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe BatchInferenceJob)) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int))) |
newDescribeBatchInferenceJobResponse Source #
Create a value of DescribeBatchInferenceJobResponse
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:batchInferenceJob:DescribeBatchInferenceJobResponse'
, describeBatchInferenceJobResponse_batchInferenceJob
- Information on the specified batch inference job.
$sel:httpStatus:DescribeBatchInferenceJobResponse'
, describeBatchInferenceJobResponse_httpStatus
- The response's http status code.
DescribeBatchSegmentJob
data DescribeBatchSegmentJob Source #
See: newDescribeBatchSegmentJob
smart constructor.
Instances
newDescribeBatchSegmentJob Source #
Create a value of DescribeBatchSegmentJob
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
DescribeBatchSegmentJob
, describeBatchSegmentJob_batchSegmentJobArn
- The ARN of the batch segment job to describe.
data DescribeBatchSegmentJobResponse Source #
See: newDescribeBatchSegmentJobResponse
smart constructor.
Instances
Generic DescribeBatchSegmentJobResponse Source # | |
Read DescribeBatchSegmentJobResponse Source # | |
Show DescribeBatchSegmentJobResponse Source # | |
Defined in Amazonka.Personalize.DescribeBatchSegmentJob | |
NFData DescribeBatchSegmentJobResponse Source # | |
Defined in Amazonka.Personalize.DescribeBatchSegmentJob rnf :: DescribeBatchSegmentJobResponse -> () # | |
Eq DescribeBatchSegmentJobResponse Source # | |
type Rep DescribeBatchSegmentJobResponse Source # | |
Defined in Amazonka.Personalize.DescribeBatchSegmentJob type Rep DescribeBatchSegmentJobResponse = D1 ('MetaData "DescribeBatchSegmentJobResponse" "Amazonka.Personalize.DescribeBatchSegmentJob" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "DescribeBatchSegmentJobResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "batchSegmentJob") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe BatchSegmentJob)) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int))) |
newDescribeBatchSegmentJobResponse Source #
Create a value of DescribeBatchSegmentJobResponse
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:batchSegmentJob:DescribeBatchSegmentJobResponse'
, describeBatchSegmentJobResponse_batchSegmentJob
- Information on the specified batch segment job.
$sel:httpStatus:DescribeBatchSegmentJobResponse'
, describeBatchSegmentJobResponse_httpStatus
- The response's http status code.
DescribeCampaign
data DescribeCampaign Source #
See: newDescribeCampaign
smart constructor.
Instances
Create a value of DescribeCampaign
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
DescribeCampaign
, describeCampaign_campaignArn
- The Amazon Resource Name (ARN) of the campaign.
data DescribeCampaignResponse Source #
See: newDescribeCampaignResponse
smart constructor.
Instances
newDescribeCampaignResponse Source #
Create a value of DescribeCampaignResponse
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:campaign:DescribeCampaignResponse'
, describeCampaignResponse_campaign
- The properties of the campaign.
$sel:httpStatus:DescribeCampaignResponse'
, describeCampaignResponse_httpStatus
- The response's http status code.
DescribeDataset
data DescribeDataset Source #
See: newDescribeDataset
smart constructor.
Instances
Create a value of DescribeDataset
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
DescribeDataset
, describeDataset_datasetArn
- The Amazon Resource Name (ARN) of the dataset to describe.
data DescribeDatasetResponse Source #
See: newDescribeDatasetResponse
smart constructor.
Instances
newDescribeDatasetResponse Source #
Create a value of DescribeDatasetResponse
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:dataset:DescribeDatasetResponse'
, describeDatasetResponse_dataset
- A listing of the dataset's properties.
$sel:httpStatus:DescribeDatasetResponse'
, describeDatasetResponse_httpStatus
- The response's http status code.
DescribeDatasetExportJob
data DescribeDatasetExportJob Source #
See: newDescribeDatasetExportJob
smart constructor.
Instances
newDescribeDatasetExportJob Source #
Create a value of DescribeDatasetExportJob
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
DescribeDatasetExportJob
, describeDatasetExportJob_datasetExportJobArn
- The Amazon Resource Name (ARN) of the dataset export job to describe.
data DescribeDatasetExportJobResponse Source #
See: newDescribeDatasetExportJobResponse
smart constructor.
Instances
Generic DescribeDatasetExportJobResponse Source # | |
Read DescribeDatasetExportJobResponse Source # | |
Show DescribeDatasetExportJobResponse Source # | |
NFData DescribeDatasetExportJobResponse Source # | |
Defined in Amazonka.Personalize.DescribeDatasetExportJob rnf :: DescribeDatasetExportJobResponse -> () # | |
Eq DescribeDatasetExportJobResponse Source # | |
type Rep DescribeDatasetExportJobResponse Source # | |
Defined in Amazonka.Personalize.DescribeDatasetExportJob type Rep DescribeDatasetExportJobResponse = D1 ('MetaData "DescribeDatasetExportJobResponse" "Amazonka.Personalize.DescribeDatasetExportJob" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "DescribeDatasetExportJobResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "datasetExportJob") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DatasetExportJob)) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int))) |
newDescribeDatasetExportJobResponse Source #
Create a value of DescribeDatasetExportJobResponse
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:datasetExportJob:DescribeDatasetExportJobResponse'
, describeDatasetExportJobResponse_datasetExportJob
- Information about the dataset export job, including the status.
The status is one of the following values:
- CREATE PENDING
- CREATE IN_PROGRESS
- ACTIVE
- CREATE FAILED
$sel:httpStatus:DescribeDatasetExportJobResponse'
, describeDatasetExportJobResponse_httpStatus
- The response's http status code.
DescribeDatasetGroup
data DescribeDatasetGroup Source #
See: newDescribeDatasetGroup
smart constructor.
Instances
newDescribeDatasetGroup Source #
Create a value of DescribeDatasetGroup
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
DescribeDatasetGroup
, describeDatasetGroup_datasetGroupArn
- The Amazon Resource Name (ARN) of the dataset group to describe.
data DescribeDatasetGroupResponse Source #
See: newDescribeDatasetGroupResponse
smart constructor.
Instances
newDescribeDatasetGroupResponse Source #
Create a value of DescribeDatasetGroupResponse
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:datasetGroup:DescribeDatasetGroupResponse'
, describeDatasetGroupResponse_datasetGroup
- A listing of the dataset group's properties.
$sel:httpStatus:DescribeDatasetGroupResponse'
, describeDatasetGroupResponse_httpStatus
- The response's http status code.
DescribeDatasetImportJob
data DescribeDatasetImportJob Source #
See: newDescribeDatasetImportJob
smart constructor.
Instances
newDescribeDatasetImportJob Source #
Create a value of DescribeDatasetImportJob
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
DescribeDatasetImportJob
, describeDatasetImportJob_datasetImportJobArn
- The Amazon Resource Name (ARN) of the dataset import job to describe.
data DescribeDatasetImportJobResponse Source #
See: newDescribeDatasetImportJobResponse
smart constructor.
Instances
Generic DescribeDatasetImportJobResponse Source # | |
Read DescribeDatasetImportJobResponse Source # | |
Show DescribeDatasetImportJobResponse Source # | |
NFData DescribeDatasetImportJobResponse Source # | |
Defined in Amazonka.Personalize.DescribeDatasetImportJob rnf :: DescribeDatasetImportJobResponse -> () # | |
Eq DescribeDatasetImportJobResponse Source # | |
type Rep DescribeDatasetImportJobResponse Source # | |
Defined in Amazonka.Personalize.DescribeDatasetImportJob type Rep DescribeDatasetImportJobResponse = D1 ('MetaData "DescribeDatasetImportJobResponse" "Amazonka.Personalize.DescribeDatasetImportJob" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "DescribeDatasetImportJobResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "datasetImportJob") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DatasetImportJob)) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int))) |
newDescribeDatasetImportJobResponse Source #
Create a value of DescribeDatasetImportJobResponse
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:datasetImportJob:DescribeDatasetImportJobResponse'
, describeDatasetImportJobResponse_datasetImportJob
- Information about the dataset import job, including the status.
The status is one of the following values:
- CREATE PENDING
- CREATE IN_PROGRESS
- ACTIVE
- CREATE FAILED
$sel:httpStatus:DescribeDatasetImportJobResponse'
, describeDatasetImportJobResponse_httpStatus
- The response's http status code.
DescribeEventTracker
data DescribeEventTracker Source #
See: newDescribeEventTracker
smart constructor.
Instances
newDescribeEventTracker Source #
Create a value of DescribeEventTracker
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
DescribeEventTracker
, describeEventTracker_eventTrackerArn
- The Amazon Resource Name (ARN) of the event tracker to describe.
data DescribeEventTrackerResponse Source #
See: newDescribeEventTrackerResponse
smart constructor.
Instances
newDescribeEventTrackerResponse Source #
Create a value of DescribeEventTrackerResponse
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:eventTracker:DescribeEventTrackerResponse'
, describeEventTrackerResponse_eventTracker
- An object that describes the event tracker.
$sel:httpStatus:DescribeEventTrackerResponse'
, describeEventTrackerResponse_httpStatus
- The response's http status code.
DescribeFeatureTransformation
data DescribeFeatureTransformation Source #
See: newDescribeFeatureTransformation
smart constructor.
Instances
newDescribeFeatureTransformation Source #
Create a value of DescribeFeatureTransformation
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
DescribeFeatureTransformation
, describeFeatureTransformation_featureTransformationArn
- The Amazon Resource Name (ARN) of the feature transformation to
describe.
data DescribeFeatureTransformationResponse Source #
See: newDescribeFeatureTransformationResponse
smart constructor.
Instances
newDescribeFeatureTransformationResponse Source #
Create a value of DescribeFeatureTransformationResponse
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:featureTransformation:DescribeFeatureTransformationResponse'
, describeFeatureTransformationResponse_featureTransformation
- A listing of the FeatureTransformation properties.
$sel:httpStatus:DescribeFeatureTransformationResponse'
, describeFeatureTransformationResponse_httpStatus
- The response's http status code.
DescribeFilter
data DescribeFilter Source #
See: newDescribeFilter
smart constructor.
Instances
Create a value of DescribeFilter
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
DescribeFilter
, describeFilter_filterArn
- The ARN of the filter to describe.
data DescribeFilterResponse Source #
See: newDescribeFilterResponse
smart constructor.
Instances
newDescribeFilterResponse Source #
Create a value of DescribeFilterResponse
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:filter':DescribeFilterResponse'
, describeFilterResponse_filter
- The filter's details.
$sel:httpStatus:DescribeFilterResponse'
, describeFilterResponse_httpStatus
- The response's http status code.
DescribeMetricAttribution
data DescribeMetricAttribution Source #
See: newDescribeMetricAttribution
smart constructor.
Instances
newDescribeMetricAttribution Source #
Create a value of DescribeMetricAttribution
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
DescribeMetricAttribution
, describeMetricAttribution_metricAttributionArn
- The metric attribution's Amazon Resource Name (ARN).
data DescribeMetricAttributionResponse Source #
See: newDescribeMetricAttributionResponse
smart constructor.
Instances
Generic DescribeMetricAttributionResponse Source # | |
Read DescribeMetricAttributionResponse Source # | |
Show DescribeMetricAttributionResponse Source # | |
NFData DescribeMetricAttributionResponse Source # | |
Defined in Amazonka.Personalize.DescribeMetricAttribution rnf :: DescribeMetricAttributionResponse -> () # | |
Eq DescribeMetricAttributionResponse Source # | |
type Rep DescribeMetricAttributionResponse Source # | |
Defined in Amazonka.Personalize.DescribeMetricAttribution type Rep DescribeMetricAttributionResponse = D1 ('MetaData "DescribeMetricAttributionResponse" "Amazonka.Personalize.DescribeMetricAttribution" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "DescribeMetricAttributionResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "metricAttribution") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MetricAttribution)) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int))) |
newDescribeMetricAttributionResponse Source #
Create a value of DescribeMetricAttributionResponse
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:metricAttribution:DescribeMetricAttributionResponse'
, describeMetricAttributionResponse_metricAttribution
- The details of the metric attribution.
$sel:httpStatus:DescribeMetricAttributionResponse'
, describeMetricAttributionResponse_httpStatus
- The response's http status code.
DescribeRecipe
data DescribeRecipe Source #
See: newDescribeRecipe
smart constructor.
Instances
Create a value of DescribeRecipe
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
DescribeRecipe
, describeRecipe_recipeArn
- The Amazon Resource Name (ARN) of the recipe to describe.
data DescribeRecipeResponse Source #
See: newDescribeRecipeResponse
smart constructor.
Instances
newDescribeRecipeResponse Source #
Create a value of DescribeRecipeResponse
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:recipe:DescribeRecipeResponse'
, describeRecipeResponse_recipe
- An object that describes the recipe.
$sel:httpStatus:DescribeRecipeResponse'
, describeRecipeResponse_httpStatus
- The response's http status code.
DescribeRecommender
data DescribeRecommender Source #
See: newDescribeRecommender
smart constructor.
Instances
newDescribeRecommender Source #
Create a value of DescribeRecommender
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
DescribeRecommender
, describeRecommender_recommenderArn
- The Amazon Resource Name (ARN) of the recommender to describe.
data DescribeRecommenderResponse Source #
See: newDescribeRecommenderResponse
smart constructor.
Instances
newDescribeRecommenderResponse Source #
Create a value of DescribeRecommenderResponse
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:recommender:DescribeRecommenderResponse'
, describeRecommenderResponse_recommender
- The properties of the recommender.
$sel:httpStatus:DescribeRecommenderResponse'
, describeRecommenderResponse_httpStatus
- The response's http status code.
DescribeSchema
data DescribeSchema Source #
See: newDescribeSchema
smart constructor.
Instances
Create a value of DescribeSchema
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
DescribeSchema
, describeSchema_schemaArn
- The Amazon Resource Name (ARN) of the schema to retrieve.
data DescribeSchemaResponse Source #
See: newDescribeSchemaResponse
smart constructor.
Instances
newDescribeSchemaResponse Source #
Create a value of DescribeSchemaResponse
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
DescribeSchemaResponse
, describeSchemaResponse_schema
- The requested schema.
$sel:httpStatus:DescribeSchemaResponse'
, describeSchemaResponse_httpStatus
- The response's http status code.
DescribeSolution
data DescribeSolution Source #
See: newDescribeSolution
smart constructor.
Instances
Create a value of DescribeSolution
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
DescribeSolution
, describeSolution_solutionArn
- The Amazon Resource Name (ARN) of the solution to describe.
data DescribeSolutionResponse Source #
See: newDescribeSolutionResponse
smart constructor.
Instances
newDescribeSolutionResponse Source #
Create a value of DescribeSolutionResponse
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:solution:DescribeSolutionResponse'
, describeSolutionResponse_solution
- An object that describes the solution.
$sel:httpStatus:DescribeSolutionResponse'
, describeSolutionResponse_httpStatus
- The response's http status code.
DescribeSolutionVersion
data DescribeSolutionVersion Source #
See: newDescribeSolutionVersion
smart constructor.
Instances
newDescribeSolutionVersion Source #
Create a value of DescribeSolutionVersion
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
DescribeSolutionVersion
, describeSolutionVersion_solutionVersionArn
- The Amazon Resource Name (ARN) of the solution version.
data DescribeSolutionVersionResponse Source #
See: newDescribeSolutionVersionResponse
smart constructor.
Instances
Generic DescribeSolutionVersionResponse Source # | |
Read DescribeSolutionVersionResponse Source # | |
Show DescribeSolutionVersionResponse Source # | |
Defined in Amazonka.Personalize.DescribeSolutionVersion | |
NFData DescribeSolutionVersionResponse Source # | |
Defined in Amazonka.Personalize.DescribeSolutionVersion rnf :: DescribeSolutionVersionResponse -> () # | |
Eq DescribeSolutionVersionResponse Source # | |
type Rep DescribeSolutionVersionResponse Source # | |
Defined in Amazonka.Personalize.DescribeSolutionVersion type Rep DescribeSolutionVersionResponse = D1 ('MetaData "DescribeSolutionVersionResponse" "Amazonka.Personalize.DescribeSolutionVersion" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "DescribeSolutionVersionResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "solutionVersion") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe SolutionVersion)) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int))) |
newDescribeSolutionVersionResponse Source #
Create a value of DescribeSolutionVersionResponse
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:solutionVersion:DescribeSolutionVersionResponse'
, describeSolutionVersionResponse_solutionVersion
- The solution version.
$sel:httpStatus:DescribeSolutionVersionResponse'
, describeSolutionVersionResponse_httpStatus
- The response's http status code.
GetSolutionMetrics
data GetSolutionMetrics Source #
See: newGetSolutionMetrics
smart constructor.
Instances
newGetSolutionMetrics Source #
Create a value of GetSolutionMetrics
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
GetSolutionMetrics
, getSolutionMetrics_solutionVersionArn
- The Amazon Resource Name (ARN) of the solution version for which to get
metrics.
data GetSolutionMetricsResponse Source #
See: newGetSolutionMetricsResponse
smart constructor.
Instances
newGetSolutionMetricsResponse Source #
Create a value of GetSolutionMetricsResponse
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:metrics:GetSolutionMetricsResponse'
, getSolutionMetricsResponse_metrics
- The metrics for the solution version. For more information, see
Evaluating a solution version with metrics
.
GetSolutionMetrics
, getSolutionMetricsResponse_solutionVersionArn
- The same solution version ARN as specified in the request.
$sel:httpStatus:GetSolutionMetricsResponse'
, getSolutionMetricsResponse_httpStatus
- The response's http status code.
ListBatchInferenceJobs (Paginated)
data ListBatchInferenceJobs Source #
See: newListBatchInferenceJobs
smart constructor.
Instances
newListBatchInferenceJobs :: ListBatchInferenceJobs Source #
Create a value of ListBatchInferenceJobs
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:maxResults:ListBatchInferenceJobs'
, listBatchInferenceJobs_maxResults
- The maximum number of batch inference job results to return in each
page. The default value is 100.
ListBatchInferenceJobs
, listBatchInferenceJobs_nextToken
- The token to request the next page of results.
ListBatchInferenceJobs
, listBatchInferenceJobs_solutionVersionArn
- The Amazon Resource Name (ARN) of the solution version from which the
batch inference jobs were created.
data ListBatchInferenceJobsResponse Source #
See: newListBatchInferenceJobsResponse
smart constructor.
Instances
newListBatchInferenceJobsResponse Source #
Create a value of ListBatchInferenceJobsResponse
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:batchInferenceJobs:ListBatchInferenceJobsResponse'
, listBatchInferenceJobsResponse_batchInferenceJobs
- A list containing information on each job that is returned.
ListBatchInferenceJobs
, listBatchInferenceJobsResponse_nextToken
- The token to use to retrieve the next page of results. The value is
null
when there are no more results to return.
$sel:httpStatus:ListBatchInferenceJobsResponse'
, listBatchInferenceJobsResponse_httpStatus
- The response's http status code.
ListBatchSegmentJobs (Paginated)
data ListBatchSegmentJobs Source #
See: newListBatchSegmentJobs
smart constructor.
Instances
newListBatchSegmentJobs :: ListBatchSegmentJobs Source #
Create a value of ListBatchSegmentJobs
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:maxResults:ListBatchSegmentJobs'
, listBatchSegmentJobs_maxResults
- The maximum number of batch segment job results to return in each page.
The default value is 100.
ListBatchSegmentJobs
, listBatchSegmentJobs_nextToken
- The token to request the next page of results.
ListBatchSegmentJobs
, listBatchSegmentJobs_solutionVersionArn
- The Amazon Resource Name (ARN) of the solution version that the batch
segment jobs used to generate batch segments.
data ListBatchSegmentJobsResponse Source #
See: newListBatchSegmentJobsResponse
smart constructor.
Instances
newListBatchSegmentJobsResponse Source #
Create a value of ListBatchSegmentJobsResponse
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:batchSegmentJobs:ListBatchSegmentJobsResponse'
, listBatchSegmentJobsResponse_batchSegmentJobs
- A list containing information on each job that is returned.
ListBatchSegmentJobs
, listBatchSegmentJobsResponse_nextToken
- The token to use to retrieve the next page of results. The value is
null
when there are no more results to return.
$sel:httpStatus:ListBatchSegmentJobsResponse'
, listBatchSegmentJobsResponse_httpStatus
- The response's http status code.
ListCampaigns (Paginated)
data ListCampaigns Source #
See: newListCampaigns
smart constructor.
Instances
newListCampaigns :: ListCampaigns Source #
Create a value of ListCampaigns
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:maxResults:ListCampaigns'
, listCampaigns_maxResults
- The maximum number of campaigns to return.
ListCampaigns
, listCampaigns_nextToken
- A token returned from the previous call to
ListCampaigns
for getting the next set of campaigns (if they exist).
ListCampaigns
, listCampaigns_solutionArn
- The Amazon Resource Name (ARN) of the solution to list the campaigns
for. When a solution is not specified, all the campaigns associated with
the account are listed.
data ListCampaignsResponse Source #
See: newListCampaignsResponse
smart constructor.
Instances
newListCampaignsResponse Source #
Create a value of ListCampaignsResponse
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:campaigns:ListCampaignsResponse'
, listCampaignsResponse_campaigns
- A list of the campaigns.
ListCampaigns
, listCampaignsResponse_nextToken
- A token for getting the next set of campaigns (if they exist).
$sel:httpStatus:ListCampaignsResponse'
, listCampaignsResponse_httpStatus
- The response's http status code.
ListDatasetExportJobs (Paginated)
data ListDatasetExportJobs Source #
See: newListDatasetExportJobs
smart constructor.
Instances
newListDatasetExportJobs :: ListDatasetExportJobs Source #
Create a value of ListDatasetExportJobs
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
ListDatasetExportJobs
, listDatasetExportJobs_datasetArn
- The Amazon Resource Name (ARN) of the dataset to list the dataset export
jobs for.
$sel:maxResults:ListDatasetExportJobs'
, listDatasetExportJobs_maxResults
- The maximum number of dataset export jobs to return.
ListDatasetExportJobs
, listDatasetExportJobs_nextToken
- A token returned from the previous call to ListDatasetExportJobs
for
getting the next set of dataset export jobs (if they exist).
data ListDatasetExportJobsResponse Source #
See: newListDatasetExportJobsResponse
smart constructor.
Instances
newListDatasetExportJobsResponse Source #
Create a value of ListDatasetExportJobsResponse
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:datasetExportJobs:ListDatasetExportJobsResponse'
, listDatasetExportJobsResponse_datasetExportJobs
- The list of dataset export jobs.
ListDatasetExportJobs
, listDatasetExportJobsResponse_nextToken
- A token for getting the next set of dataset export jobs (if they exist).
$sel:httpStatus:ListDatasetExportJobsResponse'
, listDatasetExportJobsResponse_httpStatus
- The response's http status code.
ListDatasetGroups (Paginated)
data ListDatasetGroups Source #
See: newListDatasetGroups
smart constructor.
Instances
newListDatasetGroups :: ListDatasetGroups Source #
Create a value of ListDatasetGroups
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:maxResults:ListDatasetGroups'
, listDatasetGroups_maxResults
- The maximum number of dataset groups to return.
ListDatasetGroups
, listDatasetGroups_nextToken
- A token returned from the previous call to ListDatasetGroups
for
getting the next set of dataset groups (if they exist).
data ListDatasetGroupsResponse Source #
See: newListDatasetGroupsResponse
smart constructor.
Instances
newListDatasetGroupsResponse Source #
Create a value of ListDatasetGroupsResponse
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:datasetGroups:ListDatasetGroupsResponse'
, listDatasetGroupsResponse_datasetGroups
- The list of your dataset groups.
ListDatasetGroups
, listDatasetGroupsResponse_nextToken
- A token for getting the next set of dataset groups (if they exist).
$sel:httpStatus:ListDatasetGroupsResponse'
, listDatasetGroupsResponse_httpStatus
- The response's http status code.
ListDatasetImportJobs (Paginated)
data ListDatasetImportJobs Source #
See: newListDatasetImportJobs
smart constructor.
Instances
newListDatasetImportJobs :: ListDatasetImportJobs Source #
Create a value of ListDatasetImportJobs
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
ListDatasetImportJobs
, listDatasetImportJobs_datasetArn
- The Amazon Resource Name (ARN) of the dataset to list the dataset import
jobs for.
$sel:maxResults:ListDatasetImportJobs'
, listDatasetImportJobs_maxResults
- The maximum number of dataset import jobs to return.
ListDatasetImportJobs
, listDatasetImportJobs_nextToken
- A token returned from the previous call to ListDatasetImportJobs
for
getting the next set of dataset import jobs (if they exist).
data ListDatasetImportJobsResponse Source #
See: newListDatasetImportJobsResponse
smart constructor.
Instances
newListDatasetImportJobsResponse Source #
Create a value of ListDatasetImportJobsResponse
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:datasetImportJobs:ListDatasetImportJobsResponse'
, listDatasetImportJobsResponse_datasetImportJobs
- The list of dataset import jobs.
ListDatasetImportJobs
, listDatasetImportJobsResponse_nextToken
- A token for getting the next set of dataset import jobs (if they exist).
$sel:httpStatus:ListDatasetImportJobsResponse'
, listDatasetImportJobsResponse_httpStatus
- The response's http status code.
ListDatasets (Paginated)
data ListDatasets Source #
See: newListDatasets
smart constructor.
Instances
newListDatasets :: ListDatasets Source #
Create a value of ListDatasets
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
ListDatasets
, listDatasets_datasetGroupArn
- The Amazon Resource Name (ARN) of the dataset group that contains the
datasets to list.
$sel:maxResults:ListDatasets'
, listDatasets_maxResults
- The maximum number of datasets to return.
ListDatasets
, listDatasets_nextToken
- A token returned from the previous call to ListDatasetImportJobs
for
getting the next set of dataset import jobs (if they exist).
data ListDatasetsResponse Source #
See: newListDatasetsResponse
smart constructor.
Instances
newListDatasetsResponse Source #
Create a value of ListDatasetsResponse
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:datasets:ListDatasetsResponse'
, listDatasetsResponse_datasets
- An array of Dataset
objects. Each object provides metadata
information.
ListDatasets
, listDatasetsResponse_nextToken
- A token for getting the next set of datasets (if they exist).
$sel:httpStatus:ListDatasetsResponse'
, listDatasetsResponse_httpStatus
- The response's http status code.
ListEventTrackers (Paginated)
data ListEventTrackers Source #
See: newListEventTrackers
smart constructor.
Instances
newListEventTrackers :: ListEventTrackers Source #
Create a value of ListEventTrackers
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
ListEventTrackers
, listEventTrackers_datasetGroupArn
- The ARN of a dataset group used to filter the response.
$sel:maxResults:ListEventTrackers'
, listEventTrackers_maxResults
- The maximum number of event trackers to return.
ListEventTrackers
, listEventTrackers_nextToken
- A token returned from the previous call to ListEventTrackers
for
getting the next set of event trackers (if they exist).
data ListEventTrackersResponse Source #
See: newListEventTrackersResponse
smart constructor.
Instances
newListEventTrackersResponse Source #
Create a value of ListEventTrackersResponse
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:eventTrackers:ListEventTrackersResponse'
, listEventTrackersResponse_eventTrackers
- A list of event trackers.
ListEventTrackers
, listEventTrackersResponse_nextToken
- A token for getting the next set of event trackers (if they exist).
$sel:httpStatus:ListEventTrackersResponse'
, listEventTrackersResponse_httpStatus
- The response's http status code.
ListFilters (Paginated)
data ListFilters Source #
See: newListFilters
smart constructor.
Instances
newListFilters :: ListFilters Source #
Create a value of ListFilters
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
ListFilters
, listFilters_datasetGroupArn
- The ARN of the dataset group that contains the filters.
$sel:maxResults:ListFilters'
, listFilters_maxResults
- The maximum number of filters to return.
ListFilters
, listFilters_nextToken
- A token returned from the previous call to ListFilters
for getting the
next set of filters (if they exist).
data ListFiltersResponse Source #
See: newListFiltersResponse
smart constructor.
Instances
newListFiltersResponse Source #
Create a value of ListFiltersResponse
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:filters:ListFiltersResponse'
, listFiltersResponse_filters
- A list of returned filters.
ListFilters
, listFiltersResponse_nextToken
- A token for getting the next set of filters (if they exist).
$sel:httpStatus:ListFiltersResponse'
, listFiltersResponse_httpStatus
- The response's http status code.
ListMetricAttributionMetrics (Paginated)
data ListMetricAttributionMetrics Source #
See: newListMetricAttributionMetrics
smart constructor.
Instances
newListMetricAttributionMetrics :: ListMetricAttributionMetrics Source #
Create a value of ListMetricAttributionMetrics
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:maxResults:ListMetricAttributionMetrics'
, listMetricAttributionMetrics_maxResults
- The maximum number of metrics to return in one page of results.
ListMetricAttributionMetrics
, listMetricAttributionMetrics_metricAttributionArn
- The Amazon Resource Name (ARN) of the metric attribution to retrieve
attributes for.
ListMetricAttributionMetrics
, listMetricAttributionMetrics_nextToken
- Specify the pagination token from a previous request to retrieve the
next page of results.
data ListMetricAttributionMetricsResponse Source #
See: newListMetricAttributionMetricsResponse
smart constructor.
Instances
newListMetricAttributionMetricsResponse Source #
Create a value of ListMetricAttributionMetricsResponse
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:metrics:ListMetricAttributionMetricsResponse'
, listMetricAttributionMetricsResponse_metrics
- The metrics for the specified metric attribution.
ListMetricAttributionMetrics
, listMetricAttributionMetricsResponse_nextToken
- Specify the pagination token from a previous
ListMetricAttributionMetricsResponse
request to retrieve the next page
of results.
$sel:httpStatus:ListMetricAttributionMetricsResponse'
, listMetricAttributionMetricsResponse_httpStatus
- The response's http status code.
ListMetricAttributions (Paginated)
data ListMetricAttributions Source #
See: newListMetricAttributions
smart constructor.
Instances
newListMetricAttributions :: ListMetricAttributions Source #
Create a value of ListMetricAttributions
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
ListMetricAttributions
, listMetricAttributions_datasetGroupArn
- The metric attributions' dataset group Amazon Resource Name (ARN).
$sel:maxResults:ListMetricAttributions'
, listMetricAttributions_maxResults
- The maximum number of metric attributions to return in one page of
results.
ListMetricAttributions
, listMetricAttributions_nextToken
- Specify the pagination token from a previous request to retrieve the
next page of results.
data ListMetricAttributionsResponse Source #
See: newListMetricAttributionsResponse
smart constructor.
Instances
newListMetricAttributionsResponse Source #
Create a value of ListMetricAttributionsResponse
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:metricAttributions:ListMetricAttributionsResponse'
, listMetricAttributionsResponse_metricAttributions
- The list of metric attributions.
ListMetricAttributions
, listMetricAttributionsResponse_nextToken
- Specify the pagination token from a previous request to retrieve the
next page of results.
$sel:httpStatus:ListMetricAttributionsResponse'
, listMetricAttributionsResponse_httpStatus
- The response's http status code.
ListRecipes (Paginated)
data ListRecipes Source #
See: newListRecipes
smart constructor.
ListRecipes' (Maybe Domain) (Maybe Natural) (Maybe Text) (Maybe RecipeProvider) |
Instances
newListRecipes :: ListRecipes Source #
Create a value of ListRecipes
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
ListRecipes
, listRecipes_domain
- Filters returned recipes by domain for a Domain dataset group. Only
recipes (Domain dataset group use cases) for this domain are included in
the response. If you don't specify a domain, all recipes are returned.
$sel:maxResults:ListRecipes'
, listRecipes_maxResults
- The maximum number of recipes to return.
ListRecipes
, listRecipes_nextToken
- A token returned from the previous call to ListRecipes
for getting the
next set of recipes (if they exist).
$sel:recipeProvider:ListRecipes'
, listRecipes_recipeProvider
- The default is SERVICE
.
data ListRecipesResponse Source #
See: newListRecipesResponse
smart constructor.
Instances
newListRecipesResponse Source #
Create a value of ListRecipesResponse
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
ListRecipes
, listRecipesResponse_nextToken
- A token for getting the next set of recipes.
$sel:recipes:ListRecipesResponse'
, listRecipesResponse_recipes
- The list of available recipes.
$sel:httpStatus:ListRecipesResponse'
, listRecipesResponse_httpStatus
- The response's http status code.
ListRecommenders (Paginated)
data ListRecommenders Source #
See: newListRecommenders
smart constructor.
Instances
newListRecommenders :: ListRecommenders Source #
Create a value of ListRecommenders
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
ListRecommenders
, listRecommenders_datasetGroupArn
- The Amazon Resource Name (ARN) of the Domain dataset group to list the
recommenders for. When a Domain dataset group is not specified, all the
recommenders associated with the account are listed.
$sel:maxResults:ListRecommenders'
, listRecommenders_maxResults
- The maximum number of recommenders to return.
ListRecommenders
, listRecommenders_nextToken
- A token returned from the previous call to ListRecommenders
for
getting the next set of recommenders (if they exist).
data ListRecommendersResponse Source #
See: newListRecommendersResponse
smart constructor.
Instances
newListRecommendersResponse Source #
Create a value of ListRecommendersResponse
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
ListRecommenders
, listRecommendersResponse_nextToken
- A token for getting the next set of recommenders (if they exist).
$sel:recommenders:ListRecommendersResponse'
, listRecommendersResponse_recommenders
- A list of the recommenders.
$sel:httpStatus:ListRecommendersResponse'
, listRecommendersResponse_httpStatus
- The response's http status code.
ListSchemas (Paginated)
data ListSchemas Source #
See: newListSchemas
smart constructor.
Instances
newListSchemas :: ListSchemas Source #
Create a value of ListSchemas
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:maxResults:ListSchemas'
, listSchemas_maxResults
- The maximum number of schemas to return.
ListSchemas
, listSchemas_nextToken
- A token returned from the previous call to ListSchemas
for getting the
next set of schemas (if they exist).
data ListSchemasResponse Source #
See: newListSchemasResponse
smart constructor.
Instances
newListSchemasResponse Source #
Create a value of ListSchemasResponse
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
ListSchemas
, listSchemasResponse_nextToken
- A token used to get the next set of schemas (if they exist).
$sel:schemas:ListSchemasResponse'
, listSchemasResponse_schemas
- A list of schemas.
$sel:httpStatus:ListSchemasResponse'
, listSchemasResponse_httpStatus
- The response's http status code.
ListSolutionVersions (Paginated)
data ListSolutionVersions Source #
See: newListSolutionVersions
smart constructor.
Instances
newListSolutionVersions :: ListSolutionVersions Source #
Create a value of ListSolutionVersions
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:maxResults:ListSolutionVersions'
, listSolutionVersions_maxResults
- The maximum number of solution versions to return.
ListSolutionVersions
, listSolutionVersions_nextToken
- A token returned from the previous call to ListSolutionVersions
for
getting the next set of solution versions (if they exist).
ListSolutionVersions
, listSolutionVersions_solutionArn
- The Amazon Resource Name (ARN) of the solution.
data ListSolutionVersionsResponse Source #
See: newListSolutionVersionsResponse
smart constructor.
Instances
newListSolutionVersionsResponse Source #
Create a value of ListSolutionVersionsResponse
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
ListSolutionVersions
, listSolutionVersionsResponse_nextToken
- A token for getting the next set of solution versions (if they exist).
$sel:solutionVersions:ListSolutionVersionsResponse'
, listSolutionVersionsResponse_solutionVersions
- A list of solution versions describing the version properties.
$sel:httpStatus:ListSolutionVersionsResponse'
, listSolutionVersionsResponse_httpStatus
- The response's http status code.
ListSolutions (Paginated)
data ListSolutions Source #
See: newListSolutions
smart constructor.
Instances
newListSolutions :: ListSolutions Source #
Create a value of ListSolutions
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
ListSolutions
, listSolutions_datasetGroupArn
- The Amazon Resource Name (ARN) of the dataset group.
$sel:maxResults:ListSolutions'
, listSolutions_maxResults
- The maximum number of solutions to return.
ListSolutions
, listSolutions_nextToken
- A token returned from the previous call to ListSolutions
for getting
the next set of solutions (if they exist).
data ListSolutionsResponse Source #
See: newListSolutionsResponse
smart constructor.
Instances
newListSolutionsResponse Source #
Create a value of ListSolutionsResponse
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
ListSolutions
, listSolutionsResponse_nextToken
- A token for getting the next set of solutions (if they exist).
$sel:solutions:ListSolutionsResponse'
, listSolutionsResponse_solutions
- A list of the current solutions.
$sel:httpStatus:ListSolutionsResponse'
, listSolutionsResponse_httpStatus
- The response's http status code.
ListTagsForResource
data ListTagsForResource Source #
See: newListTagsForResource
smart constructor.
Instances
newListTagsForResource Source #
Create a value of ListTagsForResource
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:resourceArn:ListTagsForResource'
, listTagsForResource_resourceArn
- The resource's Amazon Resource Name.
data ListTagsForResourceResponse Source #
See: newListTagsForResourceResponse
smart constructor.
Instances
newListTagsForResourceResponse Source #
Create a value of ListTagsForResourceResponse
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:tags:ListTagsForResourceResponse'
, listTagsForResourceResponse_tags
- The resource's tags.
$sel:httpStatus:ListTagsForResourceResponse'
, listTagsForResourceResponse_httpStatus
- The response's http status code.
StartRecommender
data StartRecommender Source #
See: newStartRecommender
smart constructor.
Instances
Create a value of StartRecommender
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
StartRecommender
, startRecommender_recommenderArn
- The Amazon Resource Name (ARN) of the recommender to start.
data StartRecommenderResponse Source #
See: newStartRecommenderResponse
smart constructor.
Instances
newStartRecommenderResponse Source #
Create a value of StartRecommenderResponse
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
StartRecommender
, startRecommenderResponse_recommenderArn
- The Amazon Resource Name (ARN) of the recommender you started.
$sel:httpStatus:StartRecommenderResponse'
, startRecommenderResponse_httpStatus
- The response's http status code.
StopRecommender
data StopRecommender Source #
See: newStopRecommender
smart constructor.
Instances
Create a value of StopRecommender
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
StopRecommender
, stopRecommender_recommenderArn
- The Amazon Resource Name (ARN) of the recommender to stop.
data StopRecommenderResponse Source #
See: newStopRecommenderResponse
smart constructor.
Instances
newStopRecommenderResponse Source #
Create a value of StopRecommenderResponse
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
StopRecommender
, stopRecommenderResponse_recommenderArn
- The Amazon Resource Name (ARN) of the recommender you stopped.
$sel:httpStatus:StopRecommenderResponse'
, stopRecommenderResponse_httpStatus
- The response's http status code.
StopSolutionVersionCreation
data StopSolutionVersionCreation Source #
See: newStopSolutionVersionCreation
smart constructor.
Instances
newStopSolutionVersionCreation Source #
Create a value of StopSolutionVersionCreation
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
StopSolutionVersionCreation
, stopSolutionVersionCreation_solutionVersionArn
- The Amazon Resource Name (ARN) of the solution version you want to stop
creating.
data StopSolutionVersionCreationResponse Source #
See: newStopSolutionVersionCreationResponse
smart constructor.
Instances
Generic StopSolutionVersionCreationResponse Source # | |
Defined in Amazonka.Personalize.StopSolutionVersionCreation type Rep StopSolutionVersionCreationResponse :: Type -> Type # | |
Read StopSolutionVersionCreationResponse Source # | |
Show StopSolutionVersionCreationResponse Source # | |
NFData StopSolutionVersionCreationResponse Source # | |
Defined in Amazonka.Personalize.StopSolutionVersionCreation rnf :: StopSolutionVersionCreationResponse -> () # | |
Eq StopSolutionVersionCreationResponse Source # | |
type Rep StopSolutionVersionCreationResponse Source # | |
Defined in Amazonka.Personalize.StopSolutionVersionCreation type Rep StopSolutionVersionCreationResponse = D1 ('MetaData "StopSolutionVersionCreationResponse" "Amazonka.Personalize.StopSolutionVersionCreation" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "StopSolutionVersionCreationResponse'" 'PrefixI 'False) (U1 :: Type -> Type)) |
newStopSolutionVersionCreationResponse :: StopSolutionVersionCreationResponse Source #
Create a value of StopSolutionVersionCreationResponse
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
TagResource
data TagResource Source #
See: newTagResource
smart constructor.
Instances
Create a value of TagResource
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:resourceArn:TagResource'
, tagResource_resourceArn
- The resource's Amazon Resource Name (ARN).
$sel:tags:TagResource'
, tagResource_tags
- Tags to apply to the resource. For more information see
Tagging Personalize resources.
data TagResourceResponse Source #
See: newTagResourceResponse
smart constructor.
Instances
newTagResourceResponse Source #
Create a value of TagResourceResponse
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:httpStatus:TagResourceResponse'
, tagResourceResponse_httpStatus
- The response's http status code.
UntagResource
data UntagResource Source #
See: newUntagResource
smart constructor.
Instances
Create a value of UntagResource
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:resourceArn:UntagResource'
, untagResource_resourceArn
- The resource's Amazon Resource Name (ARN).
$sel:tagKeys:UntagResource'
, untagResource_tagKeys
- Keys to remove from the resource's tags.
data UntagResourceResponse Source #
See: newUntagResourceResponse
smart constructor.
Instances
newUntagResourceResponse Source #
Create a value of UntagResourceResponse
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:httpStatus:UntagResourceResponse'
, untagResourceResponse_httpStatus
- The response's http status code.
UpdateCampaign
data UpdateCampaign Source #
See: newUpdateCampaign
smart constructor.
Instances
Create a value of UpdateCampaign
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
UpdateCampaign
, updateCampaign_campaignConfig
- The configuration details of a campaign.
UpdateCampaign
, updateCampaign_minProvisionedTPS
- Specifies the requested minimum provisioned transactions
(recommendations) per second that Amazon Personalize will support.
UpdateCampaign
, updateCampaign_solutionVersionArn
- The ARN of a new solution version to deploy.
UpdateCampaign
, updateCampaign_campaignArn
- The Amazon Resource Name (ARN) of the campaign.
data UpdateCampaignResponse Source #
See: newUpdateCampaignResponse
smart constructor.
Instances
newUpdateCampaignResponse Source #
Create a value of UpdateCampaignResponse
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
UpdateCampaign
, updateCampaignResponse_campaignArn
- The same campaign ARN as given in the request.
$sel:httpStatus:UpdateCampaignResponse'
, updateCampaignResponse_httpStatus
- The response's http status code.
UpdateMetricAttribution
data UpdateMetricAttribution Source #
See: newUpdateMetricAttribution
smart constructor.
UpdateMetricAttribution' (Maybe [MetricAttribute]) (Maybe Text) (Maybe MetricAttributionOutput) (Maybe [Text]) |
Instances
newUpdateMetricAttribution :: UpdateMetricAttribution Source #
Create a value of UpdateMetricAttribution
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:addMetrics:UpdateMetricAttribution'
, updateMetricAttribution_addMetrics
- Add new metric attributes to the metric attribution.
UpdateMetricAttribution
, updateMetricAttribution_metricAttributionArn
- The Amazon Resource Name (ARN) for the metric attribution to update.
UpdateMetricAttribution
, updateMetricAttribution_metricsOutputConfig
- An output config for the metric attribution.
$sel:removeMetrics:UpdateMetricAttribution'
, updateMetricAttribution_removeMetrics
- Remove metric attributes from the metric attribution.
data UpdateMetricAttributionResponse Source #
See: newUpdateMetricAttributionResponse
smart constructor.
Instances
Generic UpdateMetricAttributionResponse Source # | |
Read UpdateMetricAttributionResponse Source # | |
Show UpdateMetricAttributionResponse Source # | |
Defined in Amazonka.Personalize.UpdateMetricAttribution | |
NFData UpdateMetricAttributionResponse Source # | |
Defined in Amazonka.Personalize.UpdateMetricAttribution rnf :: UpdateMetricAttributionResponse -> () # | |
Eq UpdateMetricAttributionResponse Source # | |
type Rep UpdateMetricAttributionResponse Source # | |
Defined in Amazonka.Personalize.UpdateMetricAttribution type Rep UpdateMetricAttributionResponse = D1 ('MetaData "UpdateMetricAttributionResponse" "Amazonka.Personalize.UpdateMetricAttribution" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "UpdateMetricAttributionResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "metricAttributionArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int))) |
newUpdateMetricAttributionResponse Source #
Create a value of UpdateMetricAttributionResponse
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
UpdateMetricAttribution
, updateMetricAttributionResponse_metricAttributionArn
- The Amazon Resource Name (ARN) for the metric attribution that you
updated.
$sel:httpStatus:UpdateMetricAttributionResponse'
, updateMetricAttributionResponse_httpStatus
- The response's http status code.
UpdateRecommender
data UpdateRecommender Source #
See: newUpdateRecommender
smart constructor.
Instances
Create a value of UpdateRecommender
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
UpdateRecommender
, updateRecommender_recommenderArn
- The Amazon Resource Name (ARN) of the recommender to modify.
UpdateRecommender
, updateRecommender_recommenderConfig
- The configuration details of the recommender.
data UpdateRecommenderResponse Source #
See: newUpdateRecommenderResponse
smart constructor.
Instances
newUpdateRecommenderResponse Source #
Create a value of UpdateRecommenderResponse
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
UpdateRecommender
, updateRecommenderResponse_recommenderArn
- The same recommender Amazon Resource Name (ARN) as given in the request.
$sel:httpStatus:UpdateRecommenderResponse'
, updateRecommenderResponse_httpStatus
- The response's http status code.
Types
Domain
pattern Domain_ECOMMERCE :: Domain | |
pattern Domain_VIDEO_ON_DEMAND :: Domain |
Instances
ImportMode
newtype ImportMode Source #
pattern ImportMode_FULL :: ImportMode | |
pattern ImportMode_INCREMENTAL :: ImportMode |
Instances
IngestionMode
newtype IngestionMode Source #
pattern IngestionMode_ALL :: IngestionMode | |
pattern IngestionMode_BULK :: IngestionMode | |
pattern IngestionMode_PUT :: IngestionMode |
Instances
ObjectiveSensitivity
newtype ObjectiveSensitivity Source #
pattern ObjectiveSensitivity_HIGH :: ObjectiveSensitivity | |
pattern ObjectiveSensitivity_LOW :: ObjectiveSensitivity | |
pattern ObjectiveSensitivity_MEDIUM :: ObjectiveSensitivity | |
pattern ObjectiveSensitivity_OFF :: ObjectiveSensitivity |
Instances
RecipeProvider
newtype RecipeProvider Source #
pattern RecipeProvider_SERVICE :: RecipeProvider |
Instances
TrainingMode
newtype TrainingMode Source #
pattern TrainingMode_FULL :: TrainingMode | |
pattern TrainingMode_UPDATE :: TrainingMode |
Instances
Algorithm
Describes a custom algorithm.
See: newAlgorithm
smart constructor.
Algorithm' (Maybe Text) (Maybe AlgorithmImage) (Maybe POSIX) (Maybe DefaultHyperParameterRanges) (Maybe (HashMap Text Text)) (Maybe (HashMap Text Text)) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text) |
Instances
newAlgorithm :: Algorithm Source #
Create a value of Algorithm
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:algorithmArn:Algorithm'
, algorithm_algorithmArn
- The Amazon Resource Name (ARN) of the algorithm.
$sel:algorithmImage:Algorithm'
, algorithm_algorithmImage
- The URI of the Docker container for the algorithm image.
$sel:creationDateTime:Algorithm'
, algorithm_creationDateTime
- The date and time (in Unix time) that the algorithm was created.
$sel:defaultHyperParameterRanges:Algorithm'
, algorithm_defaultHyperParameterRanges
- Specifies the default hyperparameters, their ranges, and whether they
are tunable. A tunable hyperparameter can have its value determined
during hyperparameter optimization (HPO).
$sel:defaultHyperParameters:Algorithm'
, algorithm_defaultHyperParameters
- Specifies the default hyperparameters.
$sel:defaultResourceConfig:Algorithm'
, algorithm_defaultResourceConfig
- Specifies the default maximum number of training jobs and parallel
training jobs.
$sel:lastUpdatedDateTime:Algorithm'
, algorithm_lastUpdatedDateTime
- The date and time (in Unix time) that the algorithm was last updated.
Algorithm
, algorithm_name
- The name of the algorithm.
$sel:roleArn:Algorithm'
, algorithm_roleArn
- The Amazon Resource Name (ARN) of the role.
$sel:trainingInputMode:Algorithm'
, algorithm_trainingInputMode
- The training input mode.
AlgorithmImage
data AlgorithmImage Source #
Describes an algorithm image.
See: newAlgorithmImage
smart constructor.
Instances
Create a value of AlgorithmImage
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:name:AlgorithmImage'
, algorithmImage_name
- The name of the algorithm image.
$sel:dockerURI:AlgorithmImage'
, algorithmImage_dockerURI
- The URI of the Docker container for the algorithm image.
AutoMLConfig
data AutoMLConfig Source #
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.
See: newAutoMLConfig
smart constructor.
AutoMLConfig' (Maybe Text) (Maybe [Text]) |
Instances
newAutoMLConfig :: AutoMLConfig Source #
Create a value of AutoMLConfig
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:metricName:AutoMLConfig'
, autoMLConfig_metricName
- The metric to optimize.
$sel:recipeList:AutoMLConfig'
, autoMLConfig_recipeList
- The list of candidate recipes.
AutoMLResult
data AutoMLResult Source #
When the solution performs AutoML (performAutoML
is true in
CreateSolution),
specifies the recipe that best optimized the specified metric.
See: newAutoMLResult
smart constructor.
Instances
newAutoMLResult :: AutoMLResult Source #
Create a value of AutoMLResult
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:bestRecipeArn:AutoMLResult'
, autoMLResult_bestRecipeArn
- The Amazon Resource Name (ARN) of the best recipe.
BatchInferenceJob
data BatchInferenceJob Source #
Contains information on a batch inference job.
See: newBatchInferenceJob
smart constructor.
BatchInferenceJob' (Maybe Text) (Maybe BatchInferenceJobConfig) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe BatchInferenceJobInput) (Maybe Text) (Maybe BatchInferenceJobOutput) (Maybe POSIX) (Maybe Int) (Maybe Text) (Maybe Text) (Maybe Text) |
Instances
newBatchInferenceJob :: BatchInferenceJob Source #
Create a value of BatchInferenceJob
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:batchInferenceJobArn:BatchInferenceJob'
, batchInferenceJob_batchInferenceJobArn
- The Amazon Resource Name (ARN) of the batch inference job.
$sel:batchInferenceJobConfig:BatchInferenceJob'
, batchInferenceJob_batchInferenceJobConfig
- A string to string map of the configuration details of a batch inference
job.
$sel:creationDateTime:BatchInferenceJob'
, batchInferenceJob_creationDateTime
- The time at which the batch inference job was created.
$sel:failureReason:BatchInferenceJob'
, batchInferenceJob_failureReason
- If the batch inference job failed, the reason for the failure.
$sel:filterArn:BatchInferenceJob'
, batchInferenceJob_filterArn
- The ARN of the filter used on the batch inference job.
$sel:jobInput:BatchInferenceJob'
, batchInferenceJob_jobInput
- The Amazon S3 path that leads to the input data used to generate the
batch inference job.
$sel:jobName:BatchInferenceJob'
, batchInferenceJob_jobName
- The name of the batch inference job.
$sel:jobOutput:BatchInferenceJob'
, batchInferenceJob_jobOutput
- The Amazon S3 bucket that contains the output data generated by the
batch inference job.
$sel:lastUpdatedDateTime:BatchInferenceJob'
, batchInferenceJob_lastUpdatedDateTime
- The time at which the batch inference job was last updated.
$sel:numResults:BatchInferenceJob'
, batchInferenceJob_numResults
- The number of recommendations generated by the batch inference job. This
number includes the error messages generated for failed input records.
$sel:roleArn:BatchInferenceJob'
, batchInferenceJob_roleArn
- The ARN of the Amazon Identity and Access Management (IAM) role that
requested the batch inference job.
$sel:solutionVersionArn:BatchInferenceJob'
, batchInferenceJob_solutionVersionArn
- The Amazon Resource Name (ARN) of the solution version from which the
batch inference job was created.
$sel:status:BatchInferenceJob'
, batchInferenceJob_status
- The status of the batch inference job. The status is one of the
following values:
- PENDING
- IN PROGRESS
- ACTIVE
- CREATE FAILED
BatchInferenceJobConfig
data BatchInferenceJobConfig Source #
The configuration details of a batch inference job.
See: newBatchInferenceJobConfig
smart constructor.
Instances
newBatchInferenceJobConfig :: BatchInferenceJobConfig Source #
Create a value of BatchInferenceJobConfig
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:itemExplorationConfig:BatchInferenceJobConfig'
, batchInferenceJobConfig_itemExplorationConfig
- A string to string map specifying the exploration configuration
hyperparameters, including explorationWeight
and
explorationItemAgeCutOff
, you want to use to configure the amount of
item exploration Amazon Personalize uses when recommending items. See
User-Personalization.
BatchInferenceJobInput
data BatchInferenceJobInput Source #
The input configuration of a batch inference job.
See: newBatchInferenceJobInput
smart constructor.
Instances
newBatchInferenceJobInput Source #
Create a value of BatchInferenceJobInput
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:s3DataSource:BatchInferenceJobInput'
, batchInferenceJobInput_s3DataSource
- The URI of the Amazon S3 location that contains your input data. The
Amazon S3 bucket must be in the same region as the API endpoint you are
calling.
BatchInferenceJobOutput
data BatchInferenceJobOutput Source #
The output configuration parameters of a batch inference job.
See: newBatchInferenceJobOutput
smart constructor.
Instances
newBatchInferenceJobOutput Source #
Create a value of BatchInferenceJobOutput
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:s3DataDestination:BatchInferenceJobOutput'
, batchInferenceJobOutput_s3DataDestination
- Information on the Amazon S3 bucket in which the batch inference job's
output is stored.
BatchInferenceJobSummary
data BatchInferenceJobSummary Source #
A truncated version of the BatchInferenceJob. The ListBatchInferenceJobs operation returns a list of batch inference job summaries.
See: newBatchInferenceJobSummary
smart constructor.
BatchInferenceJobSummary' (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe Text) |
Instances
newBatchInferenceJobSummary :: BatchInferenceJobSummary Source #
Create a value of BatchInferenceJobSummary
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:batchInferenceJobArn:BatchInferenceJobSummary'
, batchInferenceJobSummary_batchInferenceJobArn
- The Amazon Resource Name (ARN) of the batch inference job.
$sel:creationDateTime:BatchInferenceJobSummary'
, batchInferenceJobSummary_creationDateTime
- The time at which the batch inference job was created.
$sel:failureReason:BatchInferenceJobSummary'
, batchInferenceJobSummary_failureReason
- If the batch inference job failed, the reason for the failure.
$sel:jobName:BatchInferenceJobSummary'
, batchInferenceJobSummary_jobName
- The name of the batch inference job.
$sel:lastUpdatedDateTime:BatchInferenceJobSummary'
, batchInferenceJobSummary_lastUpdatedDateTime
- The time at which the batch inference job was last updated.
$sel:solutionVersionArn:BatchInferenceJobSummary'
, batchInferenceJobSummary_solutionVersionArn
- The ARN of the solution version used by the batch inference job.
$sel:status:BatchInferenceJobSummary'
, batchInferenceJobSummary_status
- The status of the batch inference job. The status is one of the
following values:
- PENDING
- IN PROGRESS
- ACTIVE
- CREATE FAILED
BatchSegmentJob
data BatchSegmentJob Source #
Contains information on a batch segment job.
See: newBatchSegmentJob
smart constructor.
BatchSegmentJob' (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe BatchSegmentJobInput) (Maybe Text) (Maybe BatchSegmentJobOutput) (Maybe POSIX) (Maybe Int) (Maybe Text) (Maybe Text) (Maybe Text) |
Instances
newBatchSegmentJob :: BatchSegmentJob Source #
Create a value of BatchSegmentJob
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:batchSegmentJobArn:BatchSegmentJob'
, batchSegmentJob_batchSegmentJobArn
- The Amazon Resource Name (ARN) of the batch segment job.
$sel:creationDateTime:BatchSegmentJob'
, batchSegmentJob_creationDateTime
- The time at which the batch segment job was created.
$sel:failureReason:BatchSegmentJob'
, batchSegmentJob_failureReason
- If the batch segment job failed, the reason for the failure.
$sel:filterArn:BatchSegmentJob'
, batchSegmentJob_filterArn
- The ARN of the filter used on the batch segment job.
$sel:jobInput:BatchSegmentJob'
, batchSegmentJob_jobInput
- The Amazon S3 path that leads to the input data used to generate the
batch segment job.
$sel:jobName:BatchSegmentJob'
, batchSegmentJob_jobName
- The name of the batch segment job.
$sel:jobOutput:BatchSegmentJob'
, batchSegmentJob_jobOutput
- The Amazon S3 bucket that contains the output data generated by the
batch segment job.
$sel:lastUpdatedDateTime:BatchSegmentJob'
, batchSegmentJob_lastUpdatedDateTime
- The time at which the batch segment job last updated.
$sel:numResults:BatchSegmentJob'
, batchSegmentJob_numResults
- The number of predicted users generated by the batch segment job for
each line of input data.
$sel:roleArn:BatchSegmentJob'
, batchSegmentJob_roleArn
- The ARN of the Amazon Identity and Access Management (IAM) role that
requested the batch segment job.
$sel:solutionVersionArn:BatchSegmentJob'
, batchSegmentJob_solutionVersionArn
- The Amazon Resource Name (ARN) of the solution version used by the batch
segment job to generate batch segments.
$sel:status:BatchSegmentJob'
, batchSegmentJob_status
- The status of the batch segment job. The status is one of the following
values:
- PENDING
- IN PROGRESS
- ACTIVE
- CREATE FAILED
BatchSegmentJobInput
data BatchSegmentJobInput Source #
The input configuration of a batch segment job.
See: newBatchSegmentJobInput
smart constructor.
Instances
newBatchSegmentJobInput Source #
Create a value of BatchSegmentJobInput
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:s3DataSource:BatchSegmentJobInput'
, batchSegmentJobInput_s3DataSource
- Undocumented member.
BatchSegmentJobOutput
data BatchSegmentJobOutput Source #
The output configuration parameters of a batch segment job.
See: newBatchSegmentJobOutput
smart constructor.
Instances
newBatchSegmentJobOutput Source #
Create a value of BatchSegmentJobOutput
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:s3DataDestination:BatchSegmentJobOutput'
, batchSegmentJobOutput_s3DataDestination
- Undocumented member.
BatchSegmentJobSummary
data BatchSegmentJobSummary Source #
A truncated version of the BatchSegmentJob datatype. ListBatchSegmentJobs operation returns a list of batch segment job summaries.
See: newBatchSegmentJobSummary
smart constructor.
BatchSegmentJobSummary' (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe Text) |
Instances
newBatchSegmentJobSummary :: BatchSegmentJobSummary Source #
Create a value of BatchSegmentJobSummary
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:batchSegmentJobArn:BatchSegmentJobSummary'
, batchSegmentJobSummary_batchSegmentJobArn
- The Amazon Resource Name (ARN) of the batch segment job.
$sel:creationDateTime:BatchSegmentJobSummary'
, batchSegmentJobSummary_creationDateTime
- The time at which the batch segment job was created.
$sel:failureReason:BatchSegmentJobSummary'
, batchSegmentJobSummary_failureReason
- If the batch segment job failed, the reason for the failure.
$sel:jobName:BatchSegmentJobSummary'
, batchSegmentJobSummary_jobName
- The name of the batch segment job.
$sel:lastUpdatedDateTime:BatchSegmentJobSummary'
, batchSegmentJobSummary_lastUpdatedDateTime
- The time at which the batch segment job was last updated.
$sel:solutionVersionArn:BatchSegmentJobSummary'
, batchSegmentJobSummary_solutionVersionArn
- The Amazon Resource Name (ARN) of the solution version used by the batch
segment job to generate batch segments.
$sel:status:BatchSegmentJobSummary'
, batchSegmentJobSummary_status
- The status of the batch segment job. The status is one of the following
values:
- PENDING
- IN PROGRESS
- ACTIVE
- CREATE FAILED
Campaign
An object that describes the deployment of a solution version. For more information on campaigns, see CreateCampaign.
See: newCampaign
smart constructor.
Campaign' (Maybe Text) (Maybe CampaignConfig) (Maybe POSIX) (Maybe Text) (Maybe POSIX) (Maybe CampaignUpdateSummary) (Maybe Natural) (Maybe Text) (Maybe Text) (Maybe Text) |
Instances
newCampaign :: Campaign Source #
Create a value of Campaign
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:campaignArn:Campaign'
, campaign_campaignArn
- The Amazon Resource Name (ARN) of the campaign.
Campaign
, campaign_campaignConfig
- The configuration details of a campaign.
Campaign
, campaign_creationDateTime
- The date and time (in Unix format) that the campaign was created.
Campaign
, campaign_failureReason
- If a campaign fails, the reason behind the failure.
Campaign
, campaign_lastUpdatedDateTime
- The date and time (in Unix format) that the campaign was last updated.
$sel:latestCampaignUpdate:Campaign'
, campaign_latestCampaignUpdate
- Undocumented member.
Campaign
, campaign_minProvisionedTPS
- Specifies the requested minimum provisioned transactions
(recommendations) per second.
$sel:name:Campaign'
, campaign_name
- The name of the campaign.
Campaign
, campaign_solutionVersionArn
- The Amazon Resource Name (ARN) of a specific version of the solution.
Campaign
, campaign_status
- The status of the campaign.
A campaign can be in one of the following states:
- CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
- DELETE PENDING > DELETE IN_PROGRESS
CampaignConfig
data CampaignConfig Source #
The configuration details of a campaign.
See: newCampaignConfig
smart constructor.
Instances
newCampaignConfig :: CampaignConfig Source #
Create a value of CampaignConfig
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:itemExplorationConfig:CampaignConfig'
, campaignConfig_itemExplorationConfig
- Specifies the exploration configuration hyperparameters, including
explorationWeight
and explorationItemAgeCutOff
, you want to use to
configure the amount of item exploration Amazon Personalize uses when
recommending items. Provide itemExplorationConfig
data only if your
solution uses the
User-Personalization
recipe.
CampaignSummary
data CampaignSummary Source #
Provides a summary of the properties of a campaign. For a complete listing, call the DescribeCampaign API.
See: newCampaignSummary
smart constructor.
Instances
newCampaignSummary :: CampaignSummary Source #
Create a value of CampaignSummary
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:campaignArn:CampaignSummary'
, campaignSummary_campaignArn
- The Amazon Resource Name (ARN) of the campaign.
$sel:creationDateTime:CampaignSummary'
, campaignSummary_creationDateTime
- The date and time (in Unix time) that the campaign was created.
$sel:failureReason:CampaignSummary'
, campaignSummary_failureReason
- If a campaign fails, the reason behind the failure.
$sel:lastUpdatedDateTime:CampaignSummary'
, campaignSummary_lastUpdatedDateTime
- The date and time (in Unix time) that the campaign was last updated.
$sel:name:CampaignSummary'
, campaignSummary_name
- The name of the campaign.
$sel:status:CampaignSummary'
, campaignSummary_status
- The status of the campaign.
A campaign can be in one of the following states:
- CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
- DELETE PENDING > DELETE IN_PROGRESS
CampaignUpdateSummary
data CampaignUpdateSummary Source #
Provides a summary of the properties of a campaign update. For a complete listing, call the DescribeCampaign API.
See: newCampaignUpdateSummary
smart constructor.
CampaignUpdateSummary' (Maybe CampaignConfig) (Maybe POSIX) (Maybe Text) (Maybe POSIX) (Maybe Natural) (Maybe Text) (Maybe Text) |
Instances
newCampaignUpdateSummary :: CampaignUpdateSummary Source #
Create a value of CampaignUpdateSummary
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:campaignConfig:CampaignUpdateSummary'
, campaignUpdateSummary_campaignConfig
- Undocumented member.
$sel:creationDateTime:CampaignUpdateSummary'
, campaignUpdateSummary_creationDateTime
- The date and time (in Unix time) that the campaign update was created.
$sel:failureReason:CampaignUpdateSummary'
, campaignUpdateSummary_failureReason
- If a campaign update fails, the reason behind the failure.
$sel:lastUpdatedDateTime:CampaignUpdateSummary'
, campaignUpdateSummary_lastUpdatedDateTime
- The date and time (in Unix time) that the campaign update was last
updated.
$sel:minProvisionedTPS:CampaignUpdateSummary'
, campaignUpdateSummary_minProvisionedTPS
- Specifies the requested minimum provisioned transactions
(recommendations) per second that Amazon Personalize will support.
$sel:solutionVersionArn:CampaignUpdateSummary'
, campaignUpdateSummary_solutionVersionArn
- The Amazon Resource Name (ARN) of the deployed solution version.
$sel:status:CampaignUpdateSummary'
, campaignUpdateSummary_status
- The status of the campaign update.
A campaign update can be in one of the following states:
- CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
- DELETE PENDING > DELETE IN_PROGRESS
CategoricalHyperParameterRange
data CategoricalHyperParameterRange Source #
Provides the name and range of a categorical hyperparameter.
See: newCategoricalHyperParameterRange
smart constructor.
Instances
newCategoricalHyperParameterRange :: CategoricalHyperParameterRange Source #
Create a value of CategoricalHyperParameterRange
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:name:CategoricalHyperParameterRange'
, categoricalHyperParameterRange_name
- The name of the hyperparameter.
$sel:values:CategoricalHyperParameterRange'
, categoricalHyperParameterRange_values
- A list of the categories for the hyperparameter.
ContinuousHyperParameterRange
data ContinuousHyperParameterRange Source #
Provides the name and range of a continuous hyperparameter.
See: newContinuousHyperParameterRange
smart constructor.
Instances
newContinuousHyperParameterRange :: ContinuousHyperParameterRange Source #
Create a value of ContinuousHyperParameterRange
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:maxValue:ContinuousHyperParameterRange'
, continuousHyperParameterRange_maxValue
- The maximum allowable value for the hyperparameter.
$sel:minValue:ContinuousHyperParameterRange'
, continuousHyperParameterRange_minValue
- The minimum allowable value for the hyperparameter.
$sel:name:ContinuousHyperParameterRange'
, continuousHyperParameterRange_name
- The name of the hyperparameter.
DataSource
data DataSource Source #
Describes the data source that contains the data to upload to a dataset.
See: newDataSource
smart constructor.
Instances
newDataSource :: DataSource Source #
Create a value of DataSource
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:dataLocation:DataSource'
, dataSource_dataLocation
- The path to the Amazon S3 bucket where the data that you want to upload
to your dataset is stored. For example:
s3://bucket-name/folder-name/
Dataset
Provides metadata for a dataset.
See: newDataset
smart constructor.
Dataset' (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text) |
Instances
newDataset :: Dataset Source #
Create a value of Dataset
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:creationDateTime:Dataset'
, dataset_creationDateTime
- The creation date and time (in Unix time) of the dataset.
$sel:datasetArn:Dataset'
, dataset_datasetArn
- The Amazon Resource Name (ARN) of the dataset that you want metadata
for.
$sel:datasetGroupArn:Dataset'
, dataset_datasetGroupArn
- The Amazon Resource Name (ARN) of the dataset group.
$sel:datasetType:Dataset'
, dataset_datasetType
- One of the following values:
- Interactions
- Items
- Users
$sel:lastUpdatedDateTime:Dataset'
, dataset_lastUpdatedDateTime
- A time stamp that shows when the dataset was updated.
$sel:name:Dataset'
, dataset_name
- The name of the dataset.
$sel:schemaArn:Dataset'
, dataset_schemaArn
- The ARN of the associated schema.
$sel:status:Dataset'
, dataset_status
- The status of the dataset.
A dataset can be in one of the following states:
- CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
- DELETE PENDING > DELETE IN_PROGRESS
DatasetExportJob
data DatasetExportJob Source #
Describes a job that exports a dataset to an Amazon S3 bucket. For more information, see CreateDatasetExportJob.
A dataset export job can be in one of the following states:
- CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
See: newDatasetExportJob
smart constructor.
DatasetExportJob' (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe IngestionMode) (Maybe Text) (Maybe DatasetExportJobOutput) (Maybe POSIX) (Maybe Text) (Maybe Text) |
Instances
newDatasetExportJob :: DatasetExportJob Source #
Create a value of DatasetExportJob
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:creationDateTime:DatasetExportJob'
, datasetExportJob_creationDateTime
- The creation date and time (in Unix time) of the dataset export job.
$sel:datasetArn:DatasetExportJob'
, datasetExportJob_datasetArn
- The Amazon Resource Name (ARN) of the dataset to export.
$sel:datasetExportJobArn:DatasetExportJob'
, datasetExportJob_datasetExportJobArn
- The Amazon Resource Name (ARN) of the dataset export job.
$sel:failureReason:DatasetExportJob'
, datasetExportJob_failureReason
- If a dataset export job fails, provides the reason why.
$sel:ingestionMode:DatasetExportJob'
, datasetExportJob_ingestionMode
- The data to export, based on how you imported the data. You can choose
to export BULK
data that you imported using a dataset import job,
PUT
data that you imported incrementally (using the console,
PutEvents, PutUsers and PutItems operations), or ALL
for both types.
The default value is PUT
.
$sel:jobName:DatasetExportJob'
, datasetExportJob_jobName
- The name of the export job.
$sel:jobOutput:DatasetExportJob'
, datasetExportJob_jobOutput
- The path to the Amazon S3 bucket where the job's output is stored. For
example:
s3://bucket-name/folder-name/
$sel:lastUpdatedDateTime:DatasetExportJob'
, datasetExportJob_lastUpdatedDateTime
- The date and time (in Unix time) the status of the dataset export job
was last updated.
$sel:roleArn:DatasetExportJob'
, datasetExportJob_roleArn
- The Amazon Resource Name (ARN) of the IAM service role that has
permissions to add data to your output Amazon S3 bucket.
$sel:status:DatasetExportJob'
, datasetExportJob_status
- The status of the dataset export job.
A dataset export job can be in one of the following states:
- CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
DatasetExportJobOutput
data DatasetExportJobOutput Source #
The output configuration parameters of a dataset export job.
See: newDatasetExportJobOutput
smart constructor.
Instances
newDatasetExportJobOutput Source #
Create a value of DatasetExportJobOutput
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:s3DataDestination:DatasetExportJobOutput'
, datasetExportJobOutput_s3DataDestination
- Undocumented member.
DatasetExportJobSummary
data DatasetExportJobSummary Source #
Provides a summary of the properties of a dataset export job. For a complete listing, call the DescribeDatasetExportJob API.
See: newDatasetExportJobSummary
smart constructor.
DatasetExportJobSummary' (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe POSIX) (Maybe Text) |
Instances
newDatasetExportJobSummary :: DatasetExportJobSummary Source #
Create a value of DatasetExportJobSummary
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:creationDateTime:DatasetExportJobSummary'
, datasetExportJobSummary_creationDateTime
- The date and time (in Unix time) that the dataset export job was
created.
$sel:datasetExportJobArn:DatasetExportJobSummary'
, datasetExportJobSummary_datasetExportJobArn
- The Amazon Resource Name (ARN) of the dataset export job.
$sel:failureReason:DatasetExportJobSummary'
, datasetExportJobSummary_failureReason
- If a dataset export job fails, the reason behind the failure.
$sel:jobName:DatasetExportJobSummary'
, datasetExportJobSummary_jobName
- The name of the dataset export job.
$sel:lastUpdatedDateTime:DatasetExportJobSummary'
, datasetExportJobSummary_lastUpdatedDateTime
- The date and time (in Unix time) that the dataset export job status was
last updated.
$sel:status:DatasetExportJobSummary'
, datasetExportJobSummary_status
- The status of the dataset export job.
A dataset export job can be in one of the following states:
- CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
DatasetGroup
data DatasetGroup Source #
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 Key Management Service (KMS) key to encrypt the datasets in the group.
See: newDatasetGroup
smart constructor.
DatasetGroup' (Maybe POSIX) (Maybe Text) (Maybe Domain) (Maybe Text) (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text) |
Instances
newDatasetGroup :: DatasetGroup Source #
Create a value of DatasetGroup
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:creationDateTime:DatasetGroup'
, datasetGroup_creationDateTime
- The creation date and time (in Unix time) of the dataset group.
$sel:datasetGroupArn:DatasetGroup'
, datasetGroup_datasetGroupArn
- The Amazon Resource Name (ARN) of the dataset group.
$sel:domain:DatasetGroup'
, datasetGroup_domain
- The domain of a Domain dataset group.
$sel:failureReason:DatasetGroup'
, datasetGroup_failureReason
- If creating a dataset group fails, provides the reason why.
$sel:kmsKeyArn:DatasetGroup'
, datasetGroup_kmsKeyArn
- The Amazon Resource Name (ARN) of the Key Management Service (KMS) key
used to encrypt the datasets.
$sel:lastUpdatedDateTime:DatasetGroup'
, datasetGroup_lastUpdatedDateTime
- The last update date and time (in Unix time) of the dataset group.
$sel:name:DatasetGroup'
, datasetGroup_name
- The name of the dataset group.
$sel:roleArn:DatasetGroup'
, datasetGroup_roleArn
- The ARN of the IAM role that has permissions to create the dataset
group.
$sel:status:DatasetGroup'
, datasetGroup_status
- The current status of the dataset group.
A dataset group can be in one of the following states:
- CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
- DELETE PENDING
DatasetGroupSummary
data DatasetGroupSummary Source #
Provides a summary of the properties of a dataset group. For a complete listing, call the DescribeDatasetGroup API.
See: newDatasetGroupSummary
smart constructor.
DatasetGroupSummary' (Maybe POSIX) (Maybe Text) (Maybe Domain) (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe Text) |
Instances
newDatasetGroupSummary :: DatasetGroupSummary Source #
Create a value of DatasetGroupSummary
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:creationDateTime:DatasetGroupSummary'
, datasetGroupSummary_creationDateTime
- The date and time (in Unix time) that the dataset group was created.
$sel:datasetGroupArn:DatasetGroupSummary'
, datasetGroupSummary_datasetGroupArn
- The Amazon Resource Name (ARN) of the dataset group.
$sel:domain:DatasetGroupSummary'
, datasetGroupSummary_domain
- The domain of a Domain dataset group.
$sel:failureReason:DatasetGroupSummary'
, datasetGroupSummary_failureReason
- If creating a dataset group fails, the reason behind the failure.
$sel:lastUpdatedDateTime:DatasetGroupSummary'
, datasetGroupSummary_lastUpdatedDateTime
- The date and time (in Unix time) that the dataset group was last
updated.
$sel:name:DatasetGroupSummary'
, datasetGroupSummary_name
- The name of the dataset group.
$sel:status:DatasetGroupSummary'
, datasetGroupSummary_status
- The status of the dataset group.
A dataset group can be in one of the following states:
- CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
- DELETE PENDING
DatasetImportJob
data DatasetImportJob Source #
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
See: newDatasetImportJob
smart constructor.
DatasetImportJob' (Maybe POSIX) (Maybe DataSource) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe ImportMode) (Maybe Text) (Maybe POSIX) (Maybe Bool) (Maybe Text) (Maybe Text) |
Instances
newDatasetImportJob :: DatasetImportJob Source #
Create a value of DatasetImportJob
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:creationDateTime:DatasetImportJob'
, datasetImportJob_creationDateTime
- The creation date and time (in Unix time) of the dataset import job.
$sel:dataSource:DatasetImportJob'
, datasetImportJob_dataSource
- The Amazon S3 bucket that contains the training data to import.
$sel:datasetArn:DatasetImportJob'
, datasetImportJob_datasetArn
- The Amazon Resource Name (ARN) of the dataset that receives the imported
data.
$sel:datasetImportJobArn:DatasetImportJob'
, datasetImportJob_datasetImportJobArn
- The ARN of the dataset import job.
$sel:failureReason:DatasetImportJob'
, datasetImportJob_failureReason
- If a dataset import job fails, provides the reason why.
$sel:importMode:DatasetImportJob'
, datasetImportJob_importMode
- The import mode used by the dataset import job to import new records.
$sel:jobName:DatasetImportJob'
, datasetImportJob_jobName
- The name of the import job.
$sel:lastUpdatedDateTime:DatasetImportJob'
, datasetImportJob_lastUpdatedDateTime
- The date and time (in Unix time) the dataset was last updated.
$sel:publishAttributionMetricsToS3:DatasetImportJob'
, datasetImportJob_publishAttributionMetricsToS3
- Whether the job publishes metrics to Amazon S3 for a metric attribution.
$sel:roleArn:DatasetImportJob'
, datasetImportJob_roleArn
- The ARN of the IAM role that has permissions to read from the Amazon S3
data source.
$sel:status:DatasetImportJob'
, datasetImportJob_status
- The status of the dataset import job.
A dataset import job can be in one of the following states:
- CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
DatasetImportJobSummary
data DatasetImportJobSummary Source #
Provides a summary of the properties of a dataset import job. For a complete listing, call the DescribeDatasetImportJob API.
See: newDatasetImportJobSummary
smart constructor.
DatasetImportJobSummary' (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe ImportMode) (Maybe Text) (Maybe POSIX) (Maybe Text) |
Instances
newDatasetImportJobSummary :: DatasetImportJobSummary Source #
Create a value of DatasetImportJobSummary
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:creationDateTime:DatasetImportJobSummary'
, datasetImportJobSummary_creationDateTime
- The date and time (in Unix time) that the dataset import job was
created.
$sel:datasetImportJobArn:DatasetImportJobSummary'
, datasetImportJobSummary_datasetImportJobArn
- The Amazon Resource Name (ARN) of the dataset import job.
$sel:failureReason:DatasetImportJobSummary'
, datasetImportJobSummary_failureReason
- If a dataset import job fails, the reason behind the failure.
$sel:importMode:DatasetImportJobSummary'
, datasetImportJobSummary_importMode
- The import mode the dataset import job used to update the data in the
dataset. For more information see
Updating existing bulk data.
$sel:jobName:DatasetImportJobSummary'
, datasetImportJobSummary_jobName
- The name of the dataset import job.
$sel:lastUpdatedDateTime:DatasetImportJobSummary'
, datasetImportJobSummary_lastUpdatedDateTime
- The date and time (in Unix time) that the dataset import job status was
last updated.
$sel:status:DatasetImportJobSummary'
, datasetImportJobSummary_status
- The status of the dataset import job.
A dataset import job can be in one of the following states:
- CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
DatasetSchema
data DatasetSchema Source #
Describes the schema for a dataset. For more information on schemas, see CreateSchema.
See: newDatasetSchema
smart constructor.
Instances
newDatasetSchema :: DatasetSchema Source #
Create a value of DatasetSchema
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:creationDateTime:DatasetSchema'
, datasetSchema_creationDateTime
- The date and time (in Unix time) that the schema was created.
$sel:domain:DatasetSchema'
, datasetSchema_domain
- The domain of a schema that you created for a dataset in a Domain
dataset group.
$sel:lastUpdatedDateTime:DatasetSchema'
, datasetSchema_lastUpdatedDateTime
- The date and time (in Unix time) that the schema was last updated.
$sel:name:DatasetSchema'
, datasetSchema_name
- The name of the schema.
$sel:schema:DatasetSchema'
, datasetSchema_schema
- The schema.
$sel:schemaArn:DatasetSchema'
, datasetSchema_schemaArn
- The Amazon Resource Name (ARN) of the schema.
DatasetSchemaSummary
data DatasetSchemaSummary Source #
Provides a summary of the properties of a dataset schema. For a complete listing, call the DescribeSchema API.
See: newDatasetSchemaSummary
smart constructor.
Instances
newDatasetSchemaSummary :: DatasetSchemaSummary Source #
Create a value of DatasetSchemaSummary
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:creationDateTime:DatasetSchemaSummary'
, datasetSchemaSummary_creationDateTime
- The date and time (in Unix time) that the schema was created.
$sel:domain:DatasetSchemaSummary'
, datasetSchemaSummary_domain
- The domain of a schema that you created for a dataset in a Domain
dataset group.
$sel:lastUpdatedDateTime:DatasetSchemaSummary'
, datasetSchemaSummary_lastUpdatedDateTime
- The date and time (in Unix time) that the schema was last updated.
$sel:name:DatasetSchemaSummary'
, datasetSchemaSummary_name
- The name of the schema.
$sel:schemaArn:DatasetSchemaSummary'
, datasetSchemaSummary_schemaArn
- The Amazon Resource Name (ARN) of the schema.
DatasetSummary
data DatasetSummary Source #
Provides a summary of the properties of a dataset. For a complete listing, call the DescribeDataset API.
See: newDatasetSummary
smart constructor.
Instances
newDatasetSummary :: DatasetSummary Source #
Create a value of DatasetSummary
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:creationDateTime:DatasetSummary'
, datasetSummary_creationDateTime
- The date and time (in Unix time) that the dataset was created.
$sel:datasetArn:DatasetSummary'
, datasetSummary_datasetArn
- The Amazon Resource Name (ARN) of the dataset.
$sel:datasetType:DatasetSummary'
, datasetSummary_datasetType
- The dataset type. One of the following values:
- Interactions
- Items
- Users
- Event-Interactions
$sel:lastUpdatedDateTime:DatasetSummary'
, datasetSummary_lastUpdatedDateTime
- The date and time (in Unix time) that the dataset was last updated.
$sel:name:DatasetSummary'
, datasetSummary_name
- The name of the dataset.
$sel:status:DatasetSummary'
, datasetSummary_status
- The status of the dataset.
A dataset can be in one of the following states:
- CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
- DELETE PENDING > DELETE IN_PROGRESS
DefaultCategoricalHyperParameterRange
data DefaultCategoricalHyperParameterRange Source #
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).
See: newDefaultCategoricalHyperParameterRange
smart constructor.
Instances
newDefaultCategoricalHyperParameterRange :: DefaultCategoricalHyperParameterRange Source #
Create a value of DefaultCategoricalHyperParameterRange
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:isTunable:DefaultCategoricalHyperParameterRange'
, defaultCategoricalHyperParameterRange_isTunable
- Whether the hyperparameter is tunable.
$sel:name:DefaultCategoricalHyperParameterRange'
, defaultCategoricalHyperParameterRange_name
- The name of the hyperparameter.
$sel:values:DefaultCategoricalHyperParameterRange'
, defaultCategoricalHyperParameterRange_values
- A list of the categories for the hyperparameter.
DefaultContinuousHyperParameterRange
data DefaultContinuousHyperParameterRange Source #
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).
See: newDefaultContinuousHyperParameterRange
smart constructor.
Instances
newDefaultContinuousHyperParameterRange :: DefaultContinuousHyperParameterRange Source #
Create a value of DefaultContinuousHyperParameterRange
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:isTunable:DefaultContinuousHyperParameterRange'
, defaultContinuousHyperParameterRange_isTunable
- Whether the hyperparameter is tunable.
$sel:maxValue:DefaultContinuousHyperParameterRange'
, defaultContinuousHyperParameterRange_maxValue
- The maximum allowable value for the hyperparameter.
$sel:minValue:DefaultContinuousHyperParameterRange'
, defaultContinuousHyperParameterRange_minValue
- The minimum allowable value for the hyperparameter.
$sel:name:DefaultContinuousHyperParameterRange'
, defaultContinuousHyperParameterRange_name
- The name of the hyperparameter.
DefaultHyperParameterRanges
data DefaultHyperParameterRanges Source #
Specifies the hyperparameters and their default ranges. Hyperparameters can be categorical, continuous, or integer-valued.
See: newDefaultHyperParameterRanges
smart constructor.
DefaultHyperParameterRanges' (Maybe [DefaultCategoricalHyperParameterRange]) (Maybe [DefaultContinuousHyperParameterRange]) (Maybe [DefaultIntegerHyperParameterRange]) |
Instances
newDefaultHyperParameterRanges :: DefaultHyperParameterRanges Source #
Create a value of DefaultHyperParameterRanges
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:categoricalHyperParameterRanges:DefaultHyperParameterRanges'
, defaultHyperParameterRanges_categoricalHyperParameterRanges
- The categorical hyperparameters and their default ranges.
$sel:continuousHyperParameterRanges:DefaultHyperParameterRanges'
, defaultHyperParameterRanges_continuousHyperParameterRanges
- The continuous hyperparameters and their default ranges.
$sel:integerHyperParameterRanges:DefaultHyperParameterRanges'
, defaultHyperParameterRanges_integerHyperParameterRanges
- The integer-valued hyperparameters and their default ranges.
DefaultIntegerHyperParameterRange
data DefaultIntegerHyperParameterRange Source #
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).
See: newDefaultIntegerHyperParameterRange
smart constructor.
Instances
newDefaultIntegerHyperParameterRange :: DefaultIntegerHyperParameterRange Source #
Create a value of DefaultIntegerHyperParameterRange
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:isTunable:DefaultIntegerHyperParameterRange'
, defaultIntegerHyperParameterRange_isTunable
- Indicates whether the hyperparameter is tunable.
$sel:maxValue:DefaultIntegerHyperParameterRange'
, defaultIntegerHyperParameterRange_maxValue
- The maximum allowable value for the hyperparameter.
$sel:minValue:DefaultIntegerHyperParameterRange'
, defaultIntegerHyperParameterRange_minValue
- The minimum allowable value for the hyperparameter.
$sel:name:DefaultIntegerHyperParameterRange'
, defaultIntegerHyperParameterRange_name
- The name of the hyperparameter.
EventTracker
data EventTracker Source #
Provides information about an event tracker.
See: newEventTracker
smart constructor.
EventTracker' (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text) |
Instances
newEventTracker :: EventTracker Source #
Create a value of EventTracker
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:accountId:EventTracker'
, eventTracker_accountId
- The Amazon Web Services account that owns the event tracker.
$sel:creationDateTime:EventTracker'
, eventTracker_creationDateTime
- The date and time (in Unix format) that the event tracker was created.
$sel:datasetGroupArn:EventTracker'
, eventTracker_datasetGroupArn
- The Amazon Resource Name (ARN) of the dataset group that receives the
event data.
$sel:eventTrackerArn:EventTracker'
, eventTracker_eventTrackerArn
- The ARN of the event tracker.
$sel:lastUpdatedDateTime:EventTracker'
, eventTracker_lastUpdatedDateTime
- The date and time (in Unix time) that the event tracker was last
updated.
$sel:name:EventTracker'
, eventTracker_name
- The name of the event tracker.
$sel:status:EventTracker'
, eventTracker_status
- The status of the event tracker.
An event tracker can be in one of the following states:
- CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
- DELETE PENDING > DELETE IN_PROGRESS
$sel:trackingId:EventTracker'
, eventTracker_trackingId
- The ID of the event tracker. Include this ID in requests to the
PutEvents
API.
EventTrackerSummary
data EventTrackerSummary Source #
Provides a summary of the properties of an event tracker. For a complete listing, call the DescribeEventTracker API.
See: newEventTrackerSummary
smart constructor.
Instances
newEventTrackerSummary :: EventTrackerSummary Source #
Create a value of EventTrackerSummary
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:creationDateTime:EventTrackerSummary'
, eventTrackerSummary_creationDateTime
- The date and time (in Unix time) that the event tracker was created.
$sel:eventTrackerArn:EventTrackerSummary'
, eventTrackerSummary_eventTrackerArn
- The Amazon Resource Name (ARN) of the event tracker.
$sel:lastUpdatedDateTime:EventTrackerSummary'
, eventTrackerSummary_lastUpdatedDateTime
- The date and time (in Unix time) that the event tracker was last
updated.
$sel:name:EventTrackerSummary'
, eventTrackerSummary_name
- The name of the event tracker.
$sel:status:EventTrackerSummary'
, eventTrackerSummary_status
- The status of the event tracker.
An event tracker can be in one of the following states:
- CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
- DELETE PENDING > DELETE IN_PROGRESS
FeatureTransformation
data FeatureTransformation Source #
Provides feature transformation information. Feature transformation is the process of modifying raw input data into a form more suitable for model training.
See: newFeatureTransformation
smart constructor.
FeatureTransformation' (Maybe POSIX) (Maybe (HashMap Text Text)) (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe Text) |
Instances
newFeatureTransformation :: FeatureTransformation Source #
Create a value of FeatureTransformation
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:creationDateTime:FeatureTransformation'
, featureTransformation_creationDateTime
- The creation date and time (in Unix time) of the feature transformation.
$sel:defaultParameters:FeatureTransformation'
, featureTransformation_defaultParameters
- Provides the default parameters for feature transformation.
$sel:featureTransformationArn:FeatureTransformation'
, featureTransformation_featureTransformationArn
- The Amazon Resource Name (ARN) of the FeatureTransformation object.
$sel:lastUpdatedDateTime:FeatureTransformation'
, featureTransformation_lastUpdatedDateTime
- The last update date and time (in Unix time) of the feature
transformation.
$sel:name:FeatureTransformation'
, featureTransformation_name
- The name of the feature transformation.
$sel:status:FeatureTransformation'
, featureTransformation_status
- The status of the feature transformation.
A feature transformation can be in one of the following states:
- CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
Filter
Contains information on a recommendation filter, including its ARN, status, and filter expression.
See: newFilter
smart constructor.
Filter' (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe (Sensitive Text)) (Maybe POSIX) (Maybe Text) (Maybe Text) |
Instances
Create a value of Filter
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:creationDateTime:Filter'
, filter_creationDateTime
- The time at which the filter was created.
$sel:datasetGroupArn:Filter'
, filter_datasetGroupArn
- The ARN of the dataset group to which the filter belongs.
$sel:failureReason:Filter'
, filter_failureReason
- If the filter failed, the reason for its failure.
$sel:filterArn:Filter'
, filter_filterArn
- The ARN of the filter.
$sel:filterExpression:Filter'
, filter_filterExpression
- Specifies the type of item interactions to filter out of recommendation
results. The filter expression must follow specific format rules. For
information about filter expression structure and syntax, see
Filter expressions.
$sel:lastUpdatedDateTime:Filter'
, filter_lastUpdatedDateTime
- The time at which the filter was last updated.
$sel:name:Filter'
, filter_name
- The name of the filter.
$sel:status:Filter'
, filter_status
- The status of the filter.
FilterSummary
data FilterSummary Source #
A short summary of a filter's attributes.
See: newFilterSummary
smart constructor.
FilterSummary' (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe Text) |
Instances
newFilterSummary :: FilterSummary Source #
Create a value of FilterSummary
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:creationDateTime:FilterSummary'
, filterSummary_creationDateTime
- The time at which the filter was created.
$sel:datasetGroupArn:FilterSummary'
, filterSummary_datasetGroupArn
- The ARN of the dataset group to which the filter belongs.
$sel:failureReason:FilterSummary'
, filterSummary_failureReason
- If the filter failed, the reason for the failure.
$sel:filterArn:FilterSummary'
, filterSummary_filterArn
- The ARN of the filter.
$sel:lastUpdatedDateTime:FilterSummary'
, filterSummary_lastUpdatedDateTime
- The time at which the filter was last updated.
$sel:name:FilterSummary'
, filterSummary_name
- The name of the filter.
$sel:status:FilterSummary'
, filterSummary_status
- The status of the filter.
HPOConfig
Describes the properties for hyperparameter optimization (HPO).
See: newHPOConfig
smart constructor.
Instances
newHPOConfig :: HPOConfig Source #
Create a value of HPOConfig
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:algorithmHyperParameterRanges:HPOConfig'
, hPOConfig_algorithmHyperParameterRanges
- The hyperparameters and their allowable ranges.
$sel:hpoObjective:HPOConfig'
, hPOConfig_hpoObjective
- The metric to optimize during HPO.
Amazon Personalize doesn't support configuring the hpoObjective
at
this time.
$sel:hpoResourceConfig:HPOConfig'
, hPOConfig_hpoResourceConfig
- Describes the resource configuration for HPO.
HPOObjective
data HPOObjective Source #
The metric to optimize during hyperparameter optimization (HPO).
Amazon Personalize doesn't support configuring the hpoObjective
at
this time.
See: newHPOObjective
smart constructor.
Instances
newHPOObjective :: HPOObjective Source #
Create a value of HPOObjective
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:metricName:HPOObjective'
, hPOObjective_metricName
- The name of the metric.
$sel:metricRegex:HPOObjective'
, hPOObjective_metricRegex
- A regular expression for finding the metric in the training job logs.
$sel:type':HPOObjective'
, hPOObjective_type
- The type of the metric. Valid values are Maximize
and Minimize
.
HPOResourceConfig
data HPOResourceConfig Source #
Describes the resource configuration for hyperparameter optimization (HPO).
See: newHPOResourceConfig
smart constructor.
Instances
newHPOResourceConfig :: HPOResourceConfig Source #
Create a value of HPOResourceConfig
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:maxNumberOfTrainingJobs:HPOResourceConfig'
, hPOResourceConfig_maxNumberOfTrainingJobs
- The maximum number of training jobs when you create a solution version.
The maximum value for maxNumberOfTrainingJobs
is 40
.
$sel:maxParallelTrainingJobs:HPOResourceConfig'
, hPOResourceConfig_maxParallelTrainingJobs
- The maximum number of parallel training jobs when you create a solution
version. The maximum value for maxParallelTrainingJobs
is 10
.
HyperParameterRanges
data HyperParameterRanges Source #
Specifies the hyperparameters and their ranges. Hyperparameters can be categorical, continuous, or integer-valued.
See: newHyperParameterRanges
smart constructor.
HyperParameterRanges' (Maybe [CategoricalHyperParameterRange]) (Maybe [ContinuousHyperParameterRange]) (Maybe [IntegerHyperParameterRange]) |
Instances
newHyperParameterRanges :: HyperParameterRanges Source #
Create a value of HyperParameterRanges
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:categoricalHyperParameterRanges:HyperParameterRanges'
, hyperParameterRanges_categoricalHyperParameterRanges
- The categorical hyperparameters and their ranges.
$sel:continuousHyperParameterRanges:HyperParameterRanges'
, hyperParameterRanges_continuousHyperParameterRanges
- The continuous hyperparameters and their ranges.
$sel:integerHyperParameterRanges:HyperParameterRanges'
, hyperParameterRanges_integerHyperParameterRanges
- The integer-valued hyperparameters and their ranges.
IntegerHyperParameterRange
data IntegerHyperParameterRange Source #
Provides the name and range of an integer-valued hyperparameter.
See: newIntegerHyperParameterRange
smart constructor.
Instances
newIntegerHyperParameterRange :: IntegerHyperParameterRange Source #
Create a value of IntegerHyperParameterRange
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:maxValue:IntegerHyperParameterRange'
, integerHyperParameterRange_maxValue
- The maximum allowable value for the hyperparameter.
$sel:minValue:IntegerHyperParameterRange'
, integerHyperParameterRange_minValue
- The minimum allowable value for the hyperparameter.
$sel:name:IntegerHyperParameterRange'
, integerHyperParameterRange_name
- The name of the hyperparameter.
MetricAttribute
data MetricAttribute Source #
Contains information on a metric that a metric attribution reports on. For more information, see Measuring impact of recommendations.
See: newMetricAttribute
smart constructor.
Instances
:: Text | |
-> Text | |
-> Text | |
-> MetricAttribute |
Create a value of MetricAttribute
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:eventType:MetricAttribute'
, metricAttribute_eventType
- The metric's event type.
$sel:metricName:MetricAttribute'
, metricAttribute_metricName
- The metric's name. The name helps you identify the metric in Amazon
CloudWatch or Amazon S3.
$sel:expression:MetricAttribute'
, metricAttribute_expression
- The attribute's expression. Available functions are SUM()
or
SAMPLECOUNT()
. For SUM() functions, provide the dataset type (either
Interactions or Items) and column to sum as a parameter. For example
SUM(Items.PRICE).
MetricAttribution
data MetricAttribution Source #
Contains information on a metric attribution. A metric attribution creates reports on the data that you import into Amazon Personalize. Depending on how you import the data, you can view reports in Amazon CloudWatch or Amazon S3. For more information, see Measuring impact of recommendations.
See: newMetricAttribution
smart constructor.
MetricAttribution' (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe MetricAttributionOutput) (Maybe Text) (Maybe Text) |
Instances
newMetricAttribution :: MetricAttribution Source #
Create a value of MetricAttribution
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:creationDateTime:MetricAttribution'
, metricAttribution_creationDateTime
- The metric attribution's creation date time.
$sel:datasetGroupArn:MetricAttribution'
, metricAttribution_datasetGroupArn
- The metric attribution's dataset group Amazon Resource Name (ARN).
$sel:failureReason:MetricAttribution'
, metricAttribution_failureReason
- The metric attribution's failure reason.
$sel:lastUpdatedDateTime:MetricAttribution'
, metricAttribution_lastUpdatedDateTime
- The metric attribution's last updated date time.
$sel:metricAttributionArn:MetricAttribution'
, metricAttribution_metricAttributionArn
- The metric attribution's Amazon Resource Name (ARN).
$sel:metricsOutputConfig:MetricAttribution'
, metricAttribution_metricsOutputConfig
- The metric attribution's output configuration.
$sel:name:MetricAttribution'
, metricAttribution_name
- The metric attribution's name.
$sel:status:MetricAttribution'
, metricAttribution_status
- The metric attribution's status.
MetricAttributionOutput
data MetricAttributionOutput Source #
The output configuration details for a metric attribution.
See: newMetricAttributionOutput
smart constructor.
Instances
newMetricAttributionOutput Source #
Create a value of MetricAttributionOutput
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:s3DataDestination:MetricAttributionOutput'
, metricAttributionOutput_s3DataDestination
- Undocumented member.
$sel:roleArn:MetricAttributionOutput'
, metricAttributionOutput_roleArn
- The Amazon Resource Name (ARN) of the IAM service role that has
permissions to add data to your output Amazon S3 bucket and add metrics
to Amazon CloudWatch. For more information, see
Measuring impact of recommendations.
MetricAttributionSummary
data MetricAttributionSummary Source #
Provides a summary of the properties of a metric attribution. For a complete listing, call the DescribeMetricAttribution.
See: newMetricAttributionSummary
smart constructor.
MetricAttributionSummary' (Maybe POSIX) (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text) |
Instances
newMetricAttributionSummary :: MetricAttributionSummary Source #
Create a value of MetricAttributionSummary
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:creationDateTime:MetricAttributionSummary'
, metricAttributionSummary_creationDateTime
- The metric attribution's creation date time.
$sel:failureReason:MetricAttributionSummary'
, metricAttributionSummary_failureReason
- The metric attribution's failure reason.
$sel:lastUpdatedDateTime:MetricAttributionSummary'
, metricAttributionSummary_lastUpdatedDateTime
- The metric attribution's last updated date time.
$sel:metricAttributionArn:MetricAttributionSummary'
, metricAttributionSummary_metricAttributionArn
- The metric attribution's Amazon Resource Name (ARN).
$sel:name:MetricAttributionSummary'
, metricAttributionSummary_name
- The name of the metric attribution.
$sel:status:MetricAttributionSummary'
, metricAttributionSummary_status
- The metric attribution's status.
OptimizationObjective
data OptimizationObjective Source #
Describes the additional objective for the solution, such as maximizing streaming minutes or increasing revenue. For more information see Optimizing a solution.
See: newOptimizationObjective
smart constructor.
Instances
newOptimizationObjective :: OptimizationObjective Source #
Create a value of OptimizationObjective
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:itemAttribute:OptimizationObjective'
, optimizationObjective_itemAttribute
- The numerical metadata column in an Items dataset related to the
optimization objective. For example, VIDEO_LENGTH (to maximize streaming
minutes), or PRICE (to maximize revenue).
$sel:objectiveSensitivity:OptimizationObjective'
, optimizationObjective_objectiveSensitivity
- Specifies how Amazon Personalize balances the importance of your
optimization objective versus relevance.
Recipe
Provides information about a recipe. Each recipe provides an algorithm that Amazon Personalize uses in model training when you use the CreateSolution operation.
See: newRecipe
smart constructor.
Recipe' (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text) |
Instances
Create a value of Recipe
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:algorithmArn:Recipe'
, recipe_algorithmArn
- The Amazon Resource Name (ARN) of the algorithm that Amazon Personalize
uses to train the model.
$sel:creationDateTime:Recipe'
, recipe_creationDateTime
- The date and time (in Unix format) that the recipe was created.
$sel:description:Recipe'
, recipe_description
- The description of the recipe.
$sel:featureTransformationArn:Recipe'
, recipe_featureTransformationArn
- The ARN of the FeatureTransformation object.
$sel:lastUpdatedDateTime:Recipe'
, recipe_lastUpdatedDateTime
- The date and time (in Unix format) that the recipe was last updated.
$sel:name:Recipe'
, recipe_name
- The name of the recipe.
$sel:recipeArn:Recipe'
, recipe_recipeArn
- The Amazon Resource Name (ARN) of the recipe.
$sel:recipeType:Recipe'
, recipe_recipeType
- One of the following values:
- PERSONALIZED_RANKING
- RELATED_ITEMS
- USER_PERSONALIZATION
$sel:status:Recipe'
, recipe_status
- The status of the recipe.
RecipeSummary
data RecipeSummary Source #
Provides a summary of the properties of a recipe. For a complete listing, call the DescribeRecipe API.
See: newRecipeSummary
smart constructor.
Instances
newRecipeSummary :: RecipeSummary Source #
Create a value of RecipeSummary
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:creationDateTime:RecipeSummary'
, recipeSummary_creationDateTime
- The date and time (in Unix time) that the recipe was created.
$sel:domain:RecipeSummary'
, recipeSummary_domain
- The domain of the recipe (if the recipe is a Domain dataset group use
case).
$sel:lastUpdatedDateTime:RecipeSummary'
, recipeSummary_lastUpdatedDateTime
- The date and time (in Unix time) that the recipe was last updated.
$sel:name:RecipeSummary'
, recipeSummary_name
- The name of the recipe.
$sel:recipeArn:RecipeSummary'
, recipeSummary_recipeArn
- The Amazon Resource Name (ARN) of the recipe.
$sel:status:RecipeSummary'
, recipeSummary_status
- The status of the recipe.
Recommender
data Recommender Source #
Describes a recommendation generator for a Domain dataset group. You create a recommender in a Domain dataset group for a specific domain use case (domain recipe), and specify the recommender in a GetRecommendations request.
See: newRecommender
smart constructor.
Recommender' (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe POSIX) (Maybe RecommenderUpdateSummary) (Maybe (HashMap Text Double)) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe RecommenderConfig) (Maybe Text) |
Instances
newRecommender :: Recommender Source #
Create a value of Recommender
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
Recommender
, recommender_creationDateTime
- The date and time (in Unix format) that the recommender was created.
$sel:datasetGroupArn:Recommender'
, recommender_datasetGroupArn
- The Amazon Resource Name (ARN) of the Domain dataset group that contains
the recommender.
Recommender
, recommender_failureReason
- If a recommender fails, the reason behind the failure.
Recommender
, recommender_lastUpdatedDateTime
- The date and time (in Unix format) that the recommender was last
updated.
$sel:latestRecommenderUpdate:Recommender'
, recommender_latestRecommenderUpdate
- Provides a summary of the latest updates to the recommender.
$sel:modelMetrics:Recommender'
, recommender_modelMetrics
- Provides evaluation metrics that help you determine the performance of a
recommender. For more information, see
Evaluating a recommender.
$sel:name:Recommender'
, recommender_name
- The name of the recommender.
$sel:recipeArn:Recommender'
, recommender_recipeArn
- The Amazon Resource Name (ARN) of the recipe (Domain dataset group use
case) that the recommender was created for.
$sel:recommenderArn:Recommender'
, recommender_recommenderArn
- The Amazon Resource Name (ARN) of the recommender.
Recommender
, recommender_recommenderConfig
- The configuration details of the recommender.
Recommender
, recommender_status
- The status of the recommender.
A recommender can be in one of the following states:
- CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
- STOP PENDING > STOP IN_PROGRESS > INACTIVE > START PENDING > START IN_PROGRESS > ACTIVE
- DELETE PENDING > DELETE IN_PROGRESS
RecommenderConfig
data RecommenderConfig Source #
The configuration details of the recommender.
See: newRecommenderConfig
smart constructor.
Instances
newRecommenderConfig :: RecommenderConfig Source #
Create a value of RecommenderConfig
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:itemExplorationConfig:RecommenderConfig'
, recommenderConfig_itemExplorationConfig
- Specifies the exploration configuration hyperparameters, including
explorationWeight
and explorationItemAgeCutOff
, you want to use to
configure the amount of item exploration Amazon Personalize uses when
recommending items. Provide itemExplorationConfig
data only if your
recommenders generate personalized recommendations for a user (not
popular items or similar items).
$sel:minRecommendationRequestsPerSecond:RecommenderConfig'
, recommenderConfig_minRecommendationRequestsPerSecond
- Specifies the requested minimum provisioned recommendation requests per
second that Amazon Personalize will support.
RecommenderSummary
data RecommenderSummary Source #
Provides a summary of the properties of the recommender.
See: newRecommenderSummary
smart constructor.
RecommenderSummary' (Maybe POSIX) (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe RecommenderConfig) (Maybe Text) |
Instances
newRecommenderSummary :: RecommenderSummary Source #
Create a value of RecommenderSummary
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:creationDateTime:RecommenderSummary'
, recommenderSummary_creationDateTime
- The date and time (in Unix format) that the recommender was created.
$sel:datasetGroupArn:RecommenderSummary'
, recommenderSummary_datasetGroupArn
- The Amazon Resource Name (ARN) of the Domain dataset group that contains
the recommender.
$sel:lastUpdatedDateTime:RecommenderSummary'
, recommenderSummary_lastUpdatedDateTime
- The date and time (in Unix format) that the recommender was last
updated.
$sel:name:RecommenderSummary'
, recommenderSummary_name
- The name of the recommender.
$sel:recipeArn:RecommenderSummary'
, recommenderSummary_recipeArn
- The Amazon Resource Name (ARN) of the recipe (Domain dataset group use
case) that the recommender was created for.
$sel:recommenderArn:RecommenderSummary'
, recommenderSummary_recommenderArn
- The Amazon Resource Name (ARN) of the recommender.
$sel:recommenderConfig:RecommenderSummary'
, recommenderSummary_recommenderConfig
- The configuration details of the recommender.
$sel:status:RecommenderSummary'
, recommenderSummary_status
- The status of the recommender. A recommender can be in one of the
following states:
- CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
- STOP PENDING > STOP IN_PROGRESS > INACTIVE > START PENDING > START IN_PROGRESS > ACTIVE
- DELETE PENDING > DELETE IN_PROGRESS
RecommenderUpdateSummary
data RecommenderUpdateSummary Source #
Provides a summary of the properties of a recommender update. For a complete listing, call the DescribeRecommender API.
See: newRecommenderUpdateSummary
smart constructor.
RecommenderUpdateSummary' (Maybe POSIX) (Maybe Text) (Maybe POSIX) (Maybe RecommenderConfig) (Maybe Text) |
Instances
newRecommenderUpdateSummary :: RecommenderUpdateSummary Source #
Create a value of RecommenderUpdateSummary
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:creationDateTime:RecommenderUpdateSummary'
, recommenderUpdateSummary_creationDateTime
- The date and time (in Unix format) that the recommender update was
created.
$sel:failureReason:RecommenderUpdateSummary'
, recommenderUpdateSummary_failureReason
- If a recommender update fails, the reason behind the failure.
$sel:lastUpdatedDateTime:RecommenderUpdateSummary'
, recommenderUpdateSummary_lastUpdatedDateTime
- The date and time (in Unix time) that the recommender update was last
updated.
$sel:recommenderConfig:RecommenderUpdateSummary'
, recommenderUpdateSummary_recommenderConfig
- The configuration details of the recommender update.
$sel:status:RecommenderUpdateSummary'
, recommenderUpdateSummary_status
- The status of the recommender update.
A recommender can be in one of the following states:
- CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
- STOP PENDING > STOP IN_PROGRESS > INACTIVE > START PENDING > START IN_PROGRESS > ACTIVE
- DELETE PENDING > DELETE IN_PROGRESS
S3DataConfig
data S3DataConfig Source #
The configuration details of an Amazon S3 input or output bucket.
See: newS3DataConfig
smart constructor.
Instances
Create a value of S3DataConfig
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:kmsKeyArn:S3DataConfig'
, s3DataConfig_kmsKeyArn
- The Amazon Resource Name (ARN) of the Key Management Service (KMS) key
that Amazon Personalize uses to encrypt or decrypt the input and output
files.
$sel:path:S3DataConfig'
, s3DataConfig_path
- The file path of the Amazon S3 bucket.
Solution
An object that provides information about a solution. A solution is a trained model that can be deployed as a campaign.
See: newSolution
smart constructor.
Solution' (Maybe AutoMLResult) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe POSIX) (Maybe SolutionVersionSummary) (Maybe Text) (Maybe Bool) (Maybe Bool) (Maybe Text) (Maybe Text) (Maybe SolutionConfig) (Maybe Text) |
Instances
newSolution :: Solution Source #
Create a value of Solution
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:autoMLResult:Solution'
, solution_autoMLResult
- When performAutoML
is true, specifies the best recipe found.
Solution
, solution_creationDateTime
- The creation date and time (in Unix time) of the solution.
$sel:datasetGroupArn:Solution'
, solution_datasetGroupArn
- The Amazon Resource Name (ARN) of the dataset group that provides the
training data.
$sel:eventType:Solution'
, solution_eventType
- The event type (for example, 'click' or 'like') that is used for
training the model. If no eventType
is provided, Amazon Personalize
uses all interactions for training with equal weight regardless of type.
Solution
, solution_lastUpdatedDateTime
- The date and time (in Unix time) that the solution was last updated.
$sel:latestSolutionVersion:Solution'
, solution_latestSolutionVersion
- Describes the latest version of the solution, including the status and
the ARN.
$sel:name:Solution'
, solution_name
- The name of the solution.
$sel:performAutoML:Solution'
, solution_performAutoML
- When true, Amazon Personalize performs a search for the best
USER_PERSONALIZATION recipe from the list specified in the solution
configuration (recipeArn
must not be specified). When false (the
default), Amazon Personalize uses recipeArn
for training.
$sel:performHPO:Solution'
, solution_performHPO
- Whether to perform hyperparameter optimization (HPO) on the chosen
recipe. The default is false
.
$sel:recipeArn:Solution'
, solution_recipeArn
- The ARN of the recipe used to create the solution.
$sel:solutionArn:Solution'
, solution_solutionArn
- The ARN of the solution.
$sel:solutionConfig:Solution'
, solution_solutionConfig
- Describes the configuration properties for the solution.
Solution
, solution_status
- The status of the solution.
A solution can be in one of the following states:
- CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
- DELETE PENDING > DELETE IN_PROGRESS
SolutionConfig
data SolutionConfig Source #
Describes the configuration properties for the solution.
See: newSolutionConfig
smart constructor.
SolutionConfig' (Maybe (HashMap Text Text)) (Maybe AutoMLConfig) (Maybe Text) (Maybe (HashMap Text Text)) (Maybe HPOConfig) (Maybe OptimizationObjective) |
Instances
newSolutionConfig :: SolutionConfig Source #
Create a value of SolutionConfig
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:algorithmHyperParameters:SolutionConfig'
, solutionConfig_algorithmHyperParameters
- Lists the hyperparameter names and ranges.
$sel:autoMLConfig:SolutionConfig'
, solutionConfig_autoMLConfig
- The
AutoMLConfig
object containing a list of recipes to search when AutoML is performed.
$sel:eventValueThreshold:SolutionConfig'
, solutionConfig_eventValueThreshold
- Only events with a value greater than or equal to this threshold are
used for training a model.
$sel:featureTransformationParameters:SolutionConfig'
, solutionConfig_featureTransformationParameters
- Lists the feature transformation parameters.
$sel:hpoConfig:SolutionConfig'
, solutionConfig_hpoConfig
- Describes the properties for hyperparameter optimization (HPO).
$sel:optimizationObjective:SolutionConfig'
, solutionConfig_optimizationObjective
- Describes the additional objective for the solution, such as maximizing
streaming minutes or increasing revenue. For more information see
Optimizing a solution.
SolutionSummary
data SolutionSummary Source #
Provides a summary of the properties of a solution. For a complete listing, call the DescribeSolution API.
See: newSolutionSummary
smart constructor.
Instances
newSolutionSummary :: SolutionSummary Source #
Create a value of SolutionSummary
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:creationDateTime:SolutionSummary'
, solutionSummary_creationDateTime
- The date and time (in Unix time) that the solution was created.
$sel:lastUpdatedDateTime:SolutionSummary'
, solutionSummary_lastUpdatedDateTime
- The date and time (in Unix time) that the solution was last updated.
$sel:name:SolutionSummary'
, solutionSummary_name
- The name of the solution.
$sel:recipeArn:SolutionSummary'
, solutionSummary_recipeArn
- The Amazon Resource Name (ARN) of the recipe used by the solution.
$sel:solutionArn:SolutionSummary'
, solutionSummary_solutionArn
- The Amazon Resource Name (ARN) of the solution.
$sel:status:SolutionSummary'
, solutionSummary_status
- The status of the solution.
A solution can be in one of the following states:
- CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
- DELETE PENDING > DELETE IN_PROGRESS
SolutionVersion
data SolutionVersion Source #
An object that provides information about a specific version of a Solution in a Custom dataset group.
See: newSolutionVersion
smart constructor.
SolutionVersion' (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe Bool) (Maybe Bool) (Maybe Text) (Maybe Text) (Maybe SolutionConfig) (Maybe Text) (Maybe Text) (Maybe Double) (Maybe TrainingMode) (Maybe TunedHPOParams) |
Instances
newSolutionVersion :: SolutionVersion Source #
Create a value of SolutionVersion
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:creationDateTime:SolutionVersion'
, solutionVersion_creationDateTime
- The date and time (in Unix time) that this version of the solution was
created.
$sel:datasetGroupArn:SolutionVersion'
, solutionVersion_datasetGroupArn
- The Amazon Resource Name (ARN) of the dataset group providing the
training data.
$sel:eventType:SolutionVersion'
, solutionVersion_eventType
- The event type (for example, 'click' or 'like') that is used for
training the model.
$sel:failureReason:SolutionVersion'
, solutionVersion_failureReason
- If training a solution version fails, the reason for the failure.
$sel:lastUpdatedDateTime:SolutionVersion'
, solutionVersion_lastUpdatedDateTime
- The date and time (in Unix time) that the solution was last updated.
$sel:name:SolutionVersion'
, solutionVersion_name
- The name of the solution version.
$sel:performAutoML:SolutionVersion'
, solutionVersion_performAutoML
- When true, Amazon Personalize searches for the most optimal recipe
according to the solution configuration. When false (the default),
Amazon Personalize uses recipeArn
.
$sel:performHPO:SolutionVersion'
, solutionVersion_performHPO
- Whether to perform hyperparameter optimization (HPO) on the chosen
recipe. The default is false
.
$sel:recipeArn:SolutionVersion'
, solutionVersion_recipeArn
- The ARN of the recipe used in the solution.
$sel:solutionArn:SolutionVersion'
, solutionVersion_solutionArn
- The ARN of the solution.
$sel:solutionConfig:SolutionVersion'
, solutionVersion_solutionConfig
- Describes the configuration properties for the solution.
$sel:solutionVersionArn:SolutionVersion'
, solutionVersion_solutionVersionArn
- The ARN of the solution version.
$sel:status:SolutionVersion'
, solutionVersion_status
- The status of the solution version.
A solution version can be in one of the following states:
- CREATE PENDING
- CREATE IN_PROGRESS
- ACTIVE
- CREATE FAILED
- CREATE STOPPING
- CREATE STOPPED
$sel:trainingHours:SolutionVersion'
, solutionVersion_trainingHours
- The time used to train the model. You are billed for the time it takes
to train a model. This field is visible only after Amazon Personalize
successfully trains a model.
$sel:trainingMode:SolutionVersion'
, solutionVersion_trainingMode
- The scope of training to be performed when creating the solution
version. The FULL
option trains the solution version based on the
entirety of the input solution's training data, while the UPDATE
option processes only the data that has changed in comparison to the
input solution. Choose UPDATE
when you want to incrementally update
your solution version instead of creating an entirely new one.
The UPDATE
option can only be used when you already have an active
solution version created from the input solution using the FULL
option
and the input solution was trained with the
User-Personalization
recipe or the
HRNN-Coldstart
recipe.
$sel:tunedHPOParams:SolutionVersion'
, solutionVersion_tunedHPOParams
- If hyperparameter optimization was performed, contains the
hyperparameter values of the best performing model.
SolutionVersionSummary
data SolutionVersionSummary Source #
Provides a summary of the properties of a solution version. For a complete listing, call the DescribeSolutionVersion API.
See: newSolutionVersionSummary
smart constructor.
Instances
newSolutionVersionSummary :: SolutionVersionSummary Source #
Create a value of SolutionVersionSummary
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:creationDateTime:SolutionVersionSummary'
, solutionVersionSummary_creationDateTime
- The date and time (in Unix time) that this version of a solution was
created.
$sel:failureReason:SolutionVersionSummary'
, solutionVersionSummary_failureReason
- If a solution version fails, the reason behind the failure.
$sel:lastUpdatedDateTime:SolutionVersionSummary'
, solutionVersionSummary_lastUpdatedDateTime
- The date and time (in Unix time) that the solution version was last
updated.
$sel:solutionVersionArn:SolutionVersionSummary'
, solutionVersionSummary_solutionVersionArn
- The Amazon Resource Name (ARN) of the solution version.
$sel:status:SolutionVersionSummary'
, solutionVersionSummary_status
- The status of the solution version.
A solution version can be in one of the following states:
- CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
Tag
The optional metadata that you apply to resources to help you categorize and organize them. Each tag consists of a key and an optional value, both of which you define. For more information see Tagging Personalize resources.
See: newTag
smart constructor.
Instances
FromJSON Tag Source # | |
ToJSON Tag Source # | |
Defined in Amazonka.Personalize.Types.Tag | |
Generic Tag Source # | |
Read Tag Source # | |
Show Tag Source # | |
NFData Tag Source # | |
Defined in Amazonka.Personalize.Types.Tag | |
Eq Tag Source # | |
Hashable Tag Source # | |
Defined in Amazonka.Personalize.Types.Tag | |
type Rep Tag Source # | |
Defined in Amazonka.Personalize.Types.Tag type Rep Tag = D1 ('MetaData "Tag" "Amazonka.Personalize.Types.Tag" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "Tag'" 'PrefixI 'True) (S1 ('MetaSel ('Just "tagKey") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "tagValue") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))) |
Create a value of Tag
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:tagKey:Tag'
, tag_tagKey
- One part of a key-value pair that makes up a tag. A key is a general
label that acts like a category for more specific tag values.
$sel:tagValue:Tag'
, tag_tagValue
- The optional part of a key-value pair that makes up a tag. A value acts
as a descriptor within a tag category (key).
TunedHPOParams
data TunedHPOParams Source #
If hyperparameter optimization (HPO) was performed, contains the hyperparameter values of the best performing model.
See: newTunedHPOParams
smart constructor.
Instances
newTunedHPOParams :: TunedHPOParams Source #
Create a value of TunedHPOParams
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:algorithmHyperParameters:TunedHPOParams'
, tunedHPOParams_algorithmHyperParameters
- A list of the hyperparameter values of the best performing model.