5.0.0 • Published 3 years ago
@datafire/amazonaws_personalize v5.0.0
@datafire/amazonaws_personalize
Client library for Amazon Personalize
Installation and Usage
npm install --save @datafire/amazonaws_personalize
let amazonaws_personalize = require('@datafire/amazonaws_personalize').create({
accessKeyId: "",
secretAccessKey: "",
region: ""
});
.then(data => {
console.log(data);
});
Description
Amazon Personalize is a machine learning service that makes it easy to add individualized recommendations to customers.
Actions
CreateBatchInferenceJob
amazonaws_personalize.CreateBatchInferenceJob({
"jobName": null,
"solutionVersionArn": null,
"jobInput": null,
"jobOutput": null,
"roleArn": null
}, context)
Input
- input
object
- batchInferenceJobConfig
- itemExplorationConfig
- filterArn
- jobInput required
- s3DataSource required
- kmsKeyArn
- path required
- s3DataSource required
- jobName required
- jobOutput required
- s3DataDestination required
- kmsKeyArn
- path required
- s3DataDestination required
- numResults
- roleArn required
- solutionVersionArn required
- batchInferenceJobConfig
Output
CreateCampaign
amazonaws_personalize.CreateCampaign({
"name": null,
"solutionVersionArn": null,
"minProvisionedTPS": null
}, context)
Input
- input
object
- campaignConfig
- itemExplorationConfig
- minProvisionedTPS required
- name required
- solutionVersionArn required
- campaignConfig
Output
- output CreateCampaignResponse
CreateDataset
amazonaws_personalize.CreateDataset({
"name": null,
"schemaArn": null,
"datasetGroupArn": null,
"datasetType": null
}, context)
Input
- input
object
- datasetGroupArn required
- datasetType required
- name required
- schemaArn required
Output
- output CreateDatasetResponse
CreateDatasetGroup
amazonaws_personalize.CreateDatasetGroup({
"name": null
}, context)
Input
- input
object
- kmsKeyArn
- name required
- roleArn
Output
- output CreateDatasetGroupResponse
CreateDatasetImportJob
amazonaws_personalize.CreateDatasetImportJob({
"jobName": null,
"datasetArn": null,
"dataSource": null,
"roleArn": null
}, context)
Input
- input
object
- dataSource required
- dataLocation
- datasetArn required
- jobName required
- roleArn required
- dataSource required
Output
CreateEventTracker
amazonaws_personalize.CreateEventTracker({
"name": null,
"datasetGroupArn": null
}, context)
Input
- input
object
- datasetGroupArn required
- name required
Output
- output CreateEventTrackerResponse
CreateFilter
amazonaws_personalize.CreateFilter({
"name": null,
"datasetGroupArn": null,
"filterExpression": null
}, context)
Input
- input
object
- datasetGroupArn required
- filterExpression required
- name required
Output
- output CreateFilterResponse
CreateSchema
amazonaws_personalize.CreateSchema({
"name": null,
"schema": null
}, context)
Input
- input
object
- name required
- schema required
Output
- output CreateSchemaResponse
CreateSolution
amazonaws_personalize.CreateSolution({
"name": null,
"datasetGroupArn": null
}, context)
Input
- input
object
- datasetGroupArn required
- eventType
- name required
- performAutoML
- performHPO
- recipeArn
- solutionConfig
- algorithmHyperParameters
- autoMLConfig
- metricName
- recipeList
- items Arn
- eventValueThreshold
- featureTransformationParameters
- hpoConfig
- algorithmHyperParameterRanges
- categoricalHyperParameterRanges
- continuousHyperParameterRanges
- integerHyperParameterRanges
- hpoObjective
- metricName
- metricRegex
- type
- hpoResourceConfig
- maxNumberOfTrainingJobs
- maxParallelTrainingJobs
- algorithmHyperParameterRanges
Output
- output CreateSolutionResponse
CreateSolutionVersion
amazonaws_personalize.CreateSolutionVersion({
"solutionArn": null
}, context)
Input
- input
object
- solutionArn required
- trainingMode
Output
DeleteCampaign
amazonaws_personalize.DeleteCampaign({
"campaignArn": null
}, context)
Input
- input
object
- campaignArn required
Output
Output schema unknown
DeleteDataset
amazonaws_personalize.DeleteDataset({
"datasetArn": null
}, context)
Input
- input
object
- datasetArn required
Output
Output schema unknown
DeleteDatasetGroup
amazonaws_personalize.DeleteDatasetGroup({
"datasetGroupArn": null
}, context)
Input
- input
object
- datasetGroupArn required
Output
Output schema unknown
DeleteEventTracker
amazonaws_personalize.DeleteEventTracker({
"eventTrackerArn": null
}, context)
Input
- input
object
- eventTrackerArn required
Output
Output schema unknown
DeleteFilter
amazonaws_personalize.DeleteFilter({
"filterArn": null
}, context)
Input
- input
object
- filterArn required
Output
Output schema unknown
DeleteSchema
amazonaws_personalize.DeleteSchema({
"schemaArn": null
}, context)
Input
- input
object
- schemaArn required
Output
Output schema unknown
DeleteSolution
amazonaws_personalize.DeleteSolution({
"solutionArn": null
}, context)
Input
- input
object
- solutionArn required
Output
Output schema unknown
DescribeAlgorithm
amazonaws_personalize.DescribeAlgorithm({
"algorithmArn": null
}, context)
Input
- input
object
- algorithmArn required
Output
- output DescribeAlgorithmResponse
DescribeBatchInferenceJob
amazonaws_personalize.DescribeBatchInferenceJob({
"batchInferenceJobArn": null
}, context)
Input
- input
object
- batchInferenceJobArn required
Output
DescribeCampaign
amazonaws_personalize.DescribeCampaign({
"campaignArn": null
}, context)
Input
- input
object
- campaignArn required
Output
- output DescribeCampaignResponse
DescribeDataset
amazonaws_personalize.DescribeDataset({
"datasetArn": null
}, context)
Input
- input
object
- datasetArn required
Output
- output DescribeDatasetResponse
DescribeDatasetGroup
amazonaws_personalize.DescribeDatasetGroup({
"datasetGroupArn": null
}, context)
Input
- input
object
- datasetGroupArn required
Output
- output DescribeDatasetGroupResponse
DescribeDatasetImportJob
amazonaws_personalize.DescribeDatasetImportJob({
"datasetImportJobArn": null
}, context)
Input
- input
object
- datasetImportJobArn required
Output
DescribeEventTracker
amazonaws_personalize.DescribeEventTracker({
"eventTrackerArn": null
}, context)
Input
- input
object
- eventTrackerArn required
Output
- output DescribeEventTrackerResponse
DescribeFeatureTransformation
amazonaws_personalize.DescribeFeatureTransformation({
"featureTransformationArn": null
}, context)
Input
- input
object
- featureTransformationArn required
Output
DescribeFilter
amazonaws_personalize.DescribeFilter({
"filterArn": null
}, context)
Input
- input
object
- filterArn required
Output
- output DescribeFilterResponse
DescribeRecipe
amazonaws_personalize.DescribeRecipe({
"recipeArn": null
}, context)
Input
- input
object
- recipeArn required
Output
- output DescribeRecipeResponse
DescribeSchema
amazonaws_personalize.DescribeSchema({
"schemaArn": null
}, context)
Input
- input
object
- schemaArn required
Output
- output DescribeSchemaResponse
DescribeSolution
amazonaws_personalize.DescribeSolution({
"solutionArn": null
}, context)
Input
- input
object
- solutionArn required
Output
- output DescribeSolutionResponse
DescribeSolutionVersion
amazonaws_personalize.DescribeSolutionVersion({
"solutionVersionArn": null
}, context)
Input
- input
object
- solutionVersionArn required
Output
GetSolutionMetrics
amazonaws_personalize.GetSolutionMetrics({
"solutionVersionArn": null
}, context)
Input
- input
object
- solutionVersionArn required
Output
- output GetSolutionMetricsResponse
ListBatchInferenceJobs
amazonaws_personalize.ListBatchInferenceJobs({}, context)
Input
- input
object
- maxResults
string
- nextToken
string
- maxResults
- nextToken
- solutionVersionArn
- maxResults
Output
ListCampaigns
amazonaws_personalize.ListCampaigns({}, context)
Input
- input
object
- maxResults
string
- nextToken
string
- maxResults
- nextToken
- solutionArn
- maxResults
Output
- output ListCampaignsResponse
ListDatasetGroups
amazonaws_personalize.ListDatasetGroups({}, context)
Input
- input
object
- maxResults
string
- nextToken
string
- maxResults
- nextToken
- maxResults
Output
- output ListDatasetGroupsResponse
ListDatasetImportJobs
amazonaws_personalize.ListDatasetImportJobs({}, context)
Input
- input
object
- maxResults
string
- nextToken
string
- datasetArn
- maxResults
- nextToken
- maxResults
Output
ListDatasets
amazonaws_personalize.ListDatasets({}, context)
Input
- input
object
- maxResults
string
- nextToken
string
- datasetGroupArn
- maxResults
- nextToken
- maxResults
Output
- output ListDatasetsResponse
ListEventTrackers
amazonaws_personalize.ListEventTrackers({}, context)
Input
- input
object
- maxResults
string
- nextToken
string
- datasetGroupArn
- maxResults
- nextToken
- maxResults
Output
- output ListEventTrackersResponse
ListFilters
amazonaws_personalize.ListFilters({}, context)
Input
- input
object
- datasetGroupArn
- maxResults
- nextToken
Output
- output ListFiltersResponse
ListRecipes
amazonaws_personalize.ListRecipes({}, context)
Input
- input
object
- maxResults
string
- nextToken
string
- maxResults
- nextToken
- recipeProvider
- maxResults
Output
- output ListRecipesResponse
ListSchemas
amazonaws_personalize.ListSchemas({}, context)
Input
- input
object
- maxResults
string
- nextToken
string
- maxResults
- nextToken
- maxResults
Output
- output ListSchemasResponse
ListSolutionVersions
amazonaws_personalize.ListSolutionVersions({}, context)
Input
- input
object
- maxResults
string
- nextToken
string
- maxResults
- nextToken
- solutionArn
- maxResults
Output
- output ListSolutionVersionsResponse
ListSolutions
amazonaws_personalize.ListSolutions({}, context)
Input
- input
object
- maxResults
string
- nextToken
string
- datasetGroupArn
- maxResults
- nextToken
- maxResults
Output
- output ListSolutionsResponse
UpdateCampaign
amazonaws_personalize.UpdateCampaign({
"campaignArn": null
}, context)
Input
- input
object
- campaignArn required
- campaignConfig
- itemExplorationConfig
- minProvisionedTPS
- solutionVersionArn
Output
- output UpdateCampaignResponse
Definitions
AccountId
- AccountId
string
Algorithm
- Algorithm
object
: Describes a custom algorithm.- algorithmArn
- algorithmImage
- dockerURI required
- name
- creationDateTime
- defaultHyperParameterRanges
- categoricalHyperParameterRanges
- continuousHyperParameterRanges
- integerHyperParameterRanges
- defaultHyperParameters
- defaultResourceConfig
- lastUpdatedDateTime
- name
- roleArn
- trainingInputMode
AlgorithmImage
- AlgorithmImage
object
: Describes an algorithm image.- dockerURI required
- name
Arn
- Arn
string
ArnList
- ArnList
array
- items Arn
AutoMLConfig
- AutoMLConfig
object
: 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.- metricName
- recipeList
- items Arn
AutoMLResult
- AutoMLResult
object
: When the solution performs AutoML (performAutoML is true in CreateSolution), specifies the recipe that best optimized the specified metric.- bestRecipeArn
AvroSchema
- AvroSchema
string
BatchInferenceJob
- BatchInferenceJob
object
: Contains information on a batch inference job.- batchInferenceJobArn
- batchInferenceJobConfig
- itemExplorationConfig
- creationDateTime
- failureReason
- filterArn
- jobInput
- s3DataSource required
- kmsKeyArn
- path required
- s3DataSource required
- jobName
- jobOutput
- s3DataDestination required
- kmsKeyArn
- path required
- s3DataDestination required
- lastUpdatedDateTime
- numResults
- roleArn
- solutionVersionArn
- status
BatchInferenceJobConfig
- BatchInferenceJobConfig
object
: The configuration details of a batch inference job.- itemExplorationConfig
BatchInferenceJobInput
- BatchInferenceJobInput
object
: The input configuration of a batch inference job.- s3DataSource required
- kmsKeyArn
- path required
- s3DataSource required
BatchInferenceJobOutput
- BatchInferenceJobOutput
object
: The output configuration parameters of a batch inference job.- s3DataDestination required
- kmsKeyArn
- path required
- s3DataDestination required
BatchInferenceJobSummary
- BatchInferenceJobSummary
object
: A truncated version of the BatchInferenceJob datatype. The ListBatchInferenceJobs operation returns a list of batch inference job summaries.- batchInferenceJobArn
- creationDateTime
- failureReason
- jobName
- lastUpdatedDateTime
- solutionVersionArn
- status
BatchInferenceJobs
- BatchInferenceJobs
array
- items BatchInferenceJobSummary
Boolean
- Boolean
boolean
Campaign
- Campaign
object
: Describes a deployed solution version, otherwise known as a campaign. For more information on campaigns, see CreateCampaign.- campaignArn
- campaignConfig
- itemExplorationConfig
- creationDateTime
- failureReason
- lastUpdatedDateTime
- latestCampaignUpdate CampaignUpdateSummary
- minProvisionedTPS
- name
- solutionVersionArn
- status
CampaignConfig
- CampaignConfig
object
: The configuration details of a campaign.- itemExplorationConfig
CampaignSummary
- CampaignSummary
object
: Provides a summary of the properties of a campaign. For a complete listing, call the DescribeCampaign API.- campaignArn
- creationDateTime
- failureReason
- lastUpdatedDateTime
- name
- status
CampaignUpdateSummary
- CampaignUpdateSummary
object
: Provides a summary of the properties of a campaign update. For a complete listing, call the DescribeCampaign API.- campaignConfig CampaignConfig
- creationDateTime
- failureReason
- lastUpdatedDateTime
- minProvisionedTPS
- solutionVersionArn
- status
Campaigns
- Campaigns
array
- items CampaignSummary
CategoricalHyperParameterRange
- CategoricalHyperParameterRange
object
: Provides the name and range of a categorical hyperparameter.- name
- values
- items CategoricalValue
CategoricalHyperParameterRanges
- CategoricalHyperParameterRanges
array
CategoricalValue
- CategoricalValue
string
CategoricalValues
- CategoricalValues
array
- items CategoricalValue
ContinuousHyperParameterRange
- ContinuousHyperParameterRange
object
: Provides the name and range of a continuous hyperparameter.- maxValue
- minValue
- name
ContinuousHyperParameterRanges
- ContinuousHyperParameterRanges
array
ContinuousMaxValue
- ContinuousMaxValue
number
ContinuousMinValue
- ContinuousMinValue
number
CreateBatchInferenceJobRequest
- CreateBatchInferenceJobRequest
object
- batchInferenceJobConfig
- itemExplorationConfig
- filterArn
- jobInput required
- s3DataSource required
- kmsKeyArn
- path required
- s3DataSource required
- jobName required
- jobOutput required
- s3DataDestination required
- kmsKeyArn
- path required
- s3DataDestination required
- numResults
- roleArn required
- solutionVersionArn required
- batchInferenceJobConfig
CreateBatchInferenceJobResponse
- CreateBatchInferenceJobResponse
object
- batchInferenceJobArn
CreateCampaignRequest
- CreateCampaignRequest
object
- campaignConfig
- itemExplorationConfig
- minProvisionedTPS required
- name required
- solutionVersionArn required
- campaignConfig
CreateCampaignResponse
- CreateCampaignResponse
object
- campaignArn
CreateDatasetGroupRequest
- CreateDatasetGroupRequest
object
- kmsKeyArn
- name required
- roleArn
CreateDatasetGroupResponse
- CreateDatasetGroupResponse
object
- datasetGroupArn
CreateDatasetImportJobRequest
- CreateDatasetImportJobRequest
object
- dataSource required
- dataLocation
- datasetArn required
- jobName required
- roleArn required
- dataSource required
CreateDatasetImportJobResponse
- CreateDatasetImportJobResponse
object
- datasetImportJobArn
CreateDatasetRequest
- CreateDatasetRequest
object
- datasetGroupArn required
- datasetType required
- name required
- schemaArn required
CreateDatasetResponse
- CreateDatasetResponse
object
- datasetArn
CreateEventTrackerRequest
- CreateEventTrackerRequest
object
- datasetGroupArn required
- name required
CreateEventTrackerResponse
- CreateEventTrackerResponse
object
- eventTrackerArn
- trackingId
CreateFilterRequest
- CreateFilterRequest
object
- datasetGroupArn required
- filterExpression required
- name required
CreateFilterResponse
- CreateFilterResponse
object
- filterArn
CreateSchemaRequest
- CreateSchemaRequest
object
- name required
- schema required
CreateSchemaResponse
- CreateSchemaResponse
object
- schemaArn
CreateSolutionRequest
- CreateSolutionRequest
object
- datasetGroupArn required
- eventType
- name required
- performAutoML
- performHPO
- recipeArn
- solutionConfig
- algorithmHyperParameters
- autoMLConfig
- metricName
- recipeList
- items Arn
- eventValueThreshold
- featureTransformationParameters
- hpoConfig
- algorithmHyperParameterRanges
- categoricalHyperParameterRanges
- continuousHyperParameterRanges
- integerHyperParameterRanges
- hpoObjective
- metricName
- metricRegex
- type
- hpoResourceConfig
- maxNumberOfTrainingJobs
- maxParallelTrainingJobs
- algorithmHyperParameterRanges
CreateSolutionResponse
- CreateSolutionResponse
object
- solutionArn
CreateSolutionVersionRequest
- CreateSolutionVersionRequest
object
- solutionArn required
- trainingMode
CreateSolutionVersionResponse
- CreateSolutionVersionResponse
object
- solutionVersionArn
DataSource
- DataSource
object
: Describes the data source that contains the data to upload to a dataset.- dataLocation
Dataset
- Dataset
object
: Provides metadata for a dataset.- creationDateTime
- datasetArn
- datasetGroupArn
- datasetType
- lastUpdatedDateTime
- name
- schemaArn
- status
DatasetGroup
- DatasetGroup
object
: A dataset group is a collection of related datasets (Interactions, User, and Item). You create a dataset group by calling CreateDatasetGroup. You then create a dataset and add it to a dataset group by calling CreateDataset. The dataset group is used to create and train a solution by calling CreateSolution. A dataset group can contain only one of each type of dataset. You can specify an AWS Key Management Service (KMS) key to encrypt the datasets in the group.- creationDateTime
- datasetGroupArn
- failureReason
- kmsKeyArn
- lastUpdatedDateTime
- name
- roleArn
- status
DatasetGroupSummary
- DatasetGroupSummary
object
: Provides a summary of the properties of a dataset group. For a complete listing, call the DescribeDatasetGroup API.- creationDateTime
- datasetGroupArn
- failureReason
- lastUpdatedDateTime
- name
- status
DatasetGroups
- DatasetGroups
array
- items DatasetGroupSummary
DatasetImportJob
- DatasetImportJob
object
: 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- creationDateTime
- dataSource
- dataLocation
- datasetArn
- datasetImportJobArn
- failureReason
- jobName
- lastUpdatedDateTime
- roleArn
- status
DatasetImportJobSummary
- DatasetImportJobSummary
object
: Provides a summary of the properties of a dataset import job. For a complete listing, call the DescribeDatasetImportJob API.- creationDateTime
- datasetImportJobArn
- failureReason
- jobName
- lastUpdatedDateTime
- status
DatasetImportJobs
- DatasetImportJobs
array
- items DatasetImportJobSummary
DatasetSchema
- DatasetSchema
object
: Describes the schema for a dataset. For more information on schemas, see CreateSchema.- creationDateTime
- lastUpdatedDateTime
- name
- schema
- schemaArn
DatasetSchemaSummary
- DatasetSchemaSummary
object
: Provides a summary of the properties of a dataset schema. For a complete listing, call the DescribeSchema API.- creationDateTime
- lastUpdatedDateTime
- name
- schemaArn
DatasetSummary
- DatasetSummary
object
: Provides a summary of the properties of a dataset. For a complete listing, call the DescribeDataset API.- creationDateTime
- datasetArn
- datasetType
- lastUpdatedDateTime
- name
- status
DatasetType
- DatasetType
string
Datasets
- Datasets
array
- items DatasetSummary
Date
- Date
string
DefaultCategoricalHyperParameterRange
- DefaultCategoricalHyperParameterRange
object
: 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).- isTunable
- name
- values
- items CategoricalValue
DefaultCategoricalHyperParameterRanges
- DefaultCategoricalHyperParameterRanges
array
DefaultContinuousHyperParameterRange
- DefaultContinuousHyperParameterRange
object
: 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).- isTunable
- maxValue
- minValue
- name
DefaultContinuousHyperParameterRanges
- DefaultContinuousHyperParameterRanges
array
DefaultHyperParameterRanges
- DefaultHyperParameterRanges
object
: Specifies the hyperparameters and their default ranges. Hyperparameters can be categorical, continuous, or integer-valued.- categoricalHyperParameterRanges
- continuousHyperParameterRanges
- integerHyperParameterRanges
DefaultIntegerHyperParameterRange
- DefaultIntegerHyperParameterRange
object
: 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).- isTunable
- maxValue
- minValue
- name
DefaultIntegerHyperParameterRanges
- DefaultIntegerHyperParameterRanges
array
DeleteCampaignRequest
- DeleteCampaignRequest
object
- campaignArn required
DeleteDatasetGroupRequest
- DeleteDatasetGroupRequest
object
- datasetGroupArn required
DeleteDatasetRequest
- DeleteDatasetRequest
object
- datasetArn required
DeleteEventTrackerRequest
- DeleteEventTrackerRequest
object
- eventTrackerArn required
DeleteFilterRequest
- DeleteFilterRequest
object
- filterArn required
DeleteSchemaRequest
- DeleteSchemaRequest
object
- schemaArn required
DeleteSolutionRequest
- DeleteSolutionRequest
object
- solutionArn required
DescribeAlgorithmRequest
- DescribeAlgorithmRequest
object
- algorithmArn required
DescribeAlgorithmResponse
- DescribeAlgorithmResponse
object
- algorithm
- algorithmArn
- algorithmImage
- dockerURI required
- name
- creationDateTime
- defaultHyperParameterRanges
- categoricalHyperParameterRanges
- continuousHyperParameterRanges
- integerHyperParameterRanges
- defaultHyperParameters
- defaultResourceConfig
- lastUpdatedDateTime
- name
- roleArn
- trainingInputMode
- algorithm
DescribeBatchInferenceJobRequest
- DescribeBatchInferenceJobRequest
object
- batchInferenceJobArn required
DescribeBatchInferenceJobResponse
- DescribeBatchInferenceJobResponse
object
- batchInferenceJob
- batchInferenceJobArn
- batchInferenceJobConfig
- itemExplorationConfig
- creationDateTime
- failureReason
- filterArn
- jobInput
- s3DataSource required
- kmsKeyArn
- path required
- s3DataSource required
- jobName
- jobOutput
- s3DataDestination required
- kmsKeyArn
- path required
- s3DataDestination required
- lastUpdatedDateTime
- numResults
- roleArn
- solutionVersionArn
- status
- batchInferenceJob
DescribeCampaignRequest
- DescribeCampaignRequest
object
- campaignArn required
DescribeCampaignResponse
- DescribeCampaignResponse
object
- campaign
- campaignArn
- campaignConfig
- itemExplorationConfig
- creationDateTime
- failureReason
- lastUpdatedDateTime
- latestCampaignUpdate CampaignUpdateSummary
- minProvisionedTPS
- name
- solutionVersionArn
- status
- campaign
DescribeDatasetGroupRequest
- DescribeDatasetGroupRequest
object
- datasetGroupArn required
DescribeDatasetGroupResponse
- DescribeDatasetGroupResponse
object
- datasetGroup
- creationDateTime
- datasetGroupArn
- failureReason
- kmsKeyArn
- lastUpdatedDateTime
- name
- roleArn
- status
- datasetGroup
DescribeDatasetImportJobRequest
- DescribeDatasetImportJobRequest
object
- datasetImportJobArn required
DescribeDatasetImportJobResponse
- DescribeDatasetImportJobResponse
object
- datasetImportJob
- creationDateTime
- dataSource
- dataLocation
- datasetArn
- datasetImportJobArn
- failureReason
- jobName
- lastUpdatedDateTime
- roleArn
- status
- datasetImportJob
DescribeDatasetRequest
- DescribeDatasetRequest
object
- datasetArn required
DescribeDatasetResponse
- DescribeDatasetResponse
object
- dataset
- creationDateTime
- datasetArn
- datasetGroupArn
- datasetType
- lastUpdatedDateTime
- name
- schemaArn
- status
- dataset
DescribeEventTrackerRequest
- DescribeEventTrackerRequest
object
- eventTrackerArn required
DescribeEventTrackerResponse
- DescribeEventTrackerResponse
object
- eventTracker
- accountId
- creationDateTime
- datasetGroupArn
- eventTrackerArn
- lastUpdatedDateTime
- name
- status
- trackingId
- eventTracker
DescribeFeatureTransformationRequest
- DescribeFeatureTransformationRequest
object
- featureTransformationArn required
DescribeFeatureTransformationResponse
- DescribeFeatureTransformationResponse
object
- featureTransformation
- creationDateTime
- defaultParameters
- featureTransformationArn
- lastUpdatedDateTime
- name
- status
- featureTransformation
DescribeFilterRequest
- DescribeFilterRequest
object
- filterArn required
DescribeFilterResponse
- DescribeFilterResponse
object
- filter
- creationDateTime
- datasetGroupArn
- failureReason
- filterArn
- filterExpression
- lastUpdatedDateTime
- name
- status
- filter
DescribeRecipeRequest
- DescribeRecipeRequest
object
- recipeArn required
DescribeRecipeResponse
- DescribeRecipeResponse
object
- recipe
- algorithmArn
- creationDateTime
- description
- featureTransformationArn
- lastUpdatedDateTime
- name
- recipeArn
- recipeType
- status
- recipe
DescribeSchemaRequest
- DescribeSchemaRequest
object
- schemaArn required
DescribeSchemaResponse
- DescribeSchemaResponse
object
- schema
- creationDateTime
- lastUpdatedDateTime
- name
- schema
- schemaArn
- schema
DescribeSolutionRequest
- DescribeSolutionRequest
object
- solutionArn required
DescribeSolutionResponse
- DescribeSolutionResponse
object
- solution
- autoMLResult
- bestRecipeArn
- creationDateTime
- datasetGroupArn
- eventType
- lastUpdatedDateTime
- latestSolutionVersion
- creationDateTime
- failureReason
- lastUpdatedDateTime
- solutionVersionArn
- status
- name
- performAutoML
- performHPO
- recipeArn
- solutionArn
- solutionConfig
- algorithmHyperParameters
- autoMLConfig
- metricName
- recipeList
- items Arn
- eventValueThreshold
- featureTransformationParameters
- hpoConfig
- algorithmHyperParameterRanges
- categoricalHyperParameterRanges
- continuousHyperParameterRanges
- integerHyperParameterRanges
- hpoObjective
- metricName
- metricRegex
- type
- hpoResourceConfig
- maxNumberOfTrainingJobs
- maxParallelTrainingJobs
- algorithmHyperParameterRanges
- status
- autoMLResult
- solution
DescribeSolutionVersionRequest
- DescribeSolutionVersionRequest
object
- solutionVersionArn required
DescribeSolutionVersionResponse
- DescribeSolutionVersionResponse
object
- solutionVersion
- creationDateTime
- datasetGroupArn
- eventType
- failureReason
- lastUpdatedDateTime
- performAutoML
- performHPO
- recipeArn
- solutionArn
- solutionConfig
- algorithmHyperParameters
- autoMLConfig
- metricName
- recipeList
- items Arn
- eventValueThreshold
- featureTransformationParameters
- hpoConfig
- algorithmHyperParameterRanges
- categoricalHyperParameterRanges
- continuousHyperParameterRanges
- integerHyperParameterRanges
- hpoObjective
- metricName
- metricRegex
- type
- hpoResourceConfig
- maxNumberOfTrainingJobs
- maxParallelTrainingJobs
- algorithmHyperParameterRanges
- solutionVersionArn
- status
- trainingHours
- trainingMode
- tunedHPOParams
- algorithmHyperParameters
- solutionVersion
Description
- Description
string
DockerURI
- DockerURI
string
EventTracker
- EventTracker
object
: Provides information about an event tracker.- accountId
- creationDateTime
- datasetGroupArn
- eventTrackerArn
- lastUpdatedDateTime
- name
- status
- trackingId
EventTrackerSummary
- EventTrackerSummary
object
: Provides a summary of the properties of an event tracker. For a complete listing, call the DescribeEventTracker API.- creationDateTime
- eventTrackerArn
- lastUpdatedDateTime
- name
- status
EventTrackers
- EventTrackers
array
- items EventTrackerSummary
EventType
- EventType
string
EventValueThreshold
- EventValueThreshold
string
FailureReason
- FailureReason
string
FeatureTransformation
- FeatureTransformation
object
: Provides feature transformation information. Feature transformation is the process of modifying raw input data into a form more suitable for model training.- creationDateTime
- defaultParameters
- featureTransformationArn
- lastUpdatedDateTime
- name
- status
FeatureTransformationParameters
- FeatureTransformationParameters
object
FeaturizationParameters
- FeaturizationParameters
object
Filter
- Filter
object
: Contains information on a recommendation filter, including its ARN, status, and filter expression.- creationDateTime
- datasetGroupArn
- failureReason
- filterArn
- filterExpression
- lastUpdatedDateTime
- name
- status
FilterExpression
- FilterExpression
string
FilterSummary
- FilterSummary
object
: A short summary of a filter's attributes.- creationDateTime
- datasetGroupArn
- failureReason
- filterArn
- lastUpdatedDateTime
- name
- status
Filters
- Filters
array
- items FilterSummary
GetSolutionMetricsRequest
- GetSolutionMetricsRequest
object
- solutionVersionArn required
GetSolutionMetricsResponse
- GetSolutionMetricsResponse
object
- metrics
- solutionVersionArn
HPOConfig
- HPOConfig
object
: Describes the properties for hyperparameter optimization (HPO). For use with the bring-your-own-recipe feature. Do not use for Amazon Personalize native recipes.- algorithmHyperParameterRanges
- categoricalHyperParameterRanges
- continuousHyperParameterRanges
- integerHyperParameterRanges
- hpoObjective
- metricName
- metricRegex
- type
- hpoResourceConfig
- maxNumberOfTrainingJobs
- maxParallelTrainingJobs
- algorithmHyperParameterRanges
HPOObjective
- HPOObjective
object
: The metric to optimize during hyperparameter optimization (HPO).- metricName
- metricRegex
- type
HPOObjectiveType
- HPOObjectiveType
string
HPOResource
- HPOResource
string
HPOResourceConfig
- HPOResourceConfig
object
: Describes the resource configuration for hyperparameter optimization (HPO).- maxNumberOfTrainingJobs
- maxParallelTrainingJobs
HyperParameterRanges
- HyperParameterRanges
object
: Specifies the hyperparameters and their ranges. Hyperparameters can be categorical, continuous, or integer-valued.- categoricalHyperParameterRanges
- continuousHyperParameterRanges
- integerHyperParameterRanges
HyperParameters
- HyperParameters
object
IntegerHyperParameterRange
- IntegerHyperParameterRange
object
: Provides the name and range of an integer-valued hyperparameter.- maxValue
- minValue
- name
IntegerHyperParameterRanges
- IntegerHyperParameterRanges
array
IntegerMaxValue
- IntegerMaxValue
integer
IntegerMinValue
- IntegerMinValue
integer
InvalidInputException
InvalidNextTokenException
KmsKeyArn
- KmsKeyArn
string
LimitExceededException
ListBatchInferenceJobsRequest
- ListBatchInferenceJobsRequest
object
- maxResults
- nextToken
- solutionVersionArn
ListBatchInferenceJobsResponse
- ListBatchInferenceJobsResponse
object
- batchInferenceJobs
- items BatchInferenceJobSummary
- nextToken
- batchInferenceJobs
ListCampaignsRequest
- ListCampaignsRequest
object
- maxResults
- nextToken
- solutionArn
ListCampaignsResponse
- ListCampaignsResponse
object
- campaigns
- items CampaignSummary
- nextToken
- campaigns
ListDatasetGroupsRequest
- ListDatasetGroupsRequest
object
- maxResults
- nextToken
ListDatasetGroupsResponse
- ListDatasetGroupsResponse
object
- datasetGroups
- items DatasetGroupSummary
- nextToken
- datasetGroups
ListDatasetImportJobsRequest
- ListDatasetImportJobsRequest
object
- datasetArn
- maxResults
- nextToken
ListDatasetImportJobsResponse
- ListDatasetImportJobsResponse
object
- datasetImportJobs
- items DatasetImportJobSummary
- nextToken
- datasetImportJobs
ListDatasetsRequest
- ListDatasetsRequest
object
- datasetGroupArn
- maxResults
- nextToken
ListDatasetsResponse
- ListDatasetsResponse
object
- datasets
- items DatasetSummary
- nextToken
- datasets
ListEventTrackersRequest
- ListEventTrackersRequest
object
- datasetGroupArn
- maxResults
- nextToken
ListEventTrackersResponse
- ListEventTrackersResponse
object
- eventTrackers
- items EventTrackerSummary
- nextToken
- eventTrackers
ListFiltersRequest
- ListFiltersRequest
object
- datasetGroupArn
- maxResults
- nextToken
ListFiltersResponse
- ListFiltersResponse
object
- Filters
- items FilterSummary
- nextToken
- Filters
ListRecipesRequest
- ListRecipesRequest
object
- maxResults
- nextToken
- recipeProvider
ListRecipesResponse
- ListRecipesResponse
object
- nextToken
- recipes
- items RecipeSummary
ListSchemasRequest
- ListSchemasRequest
object
- maxResults
- nextToken
ListSchemasResponse
- ListSchemasResponse
object
- nextToken
- schemas
- items DatasetSchemaSummary
ListSolutionVersionsRequest
- ListSolutionVersionsRequest
object
- maxResults
- nextToken
- solutionArn
ListSolutionVersionsResponse
- ListSolutionVersionsResponse
object
- nextToken
- solutionVersions
- items SolutionVersionSummary
ListSolutionsRequest
- ListSolutionsRequest
object
- datasetGroupArn
- maxResults
- nextToken
ListSolutionsResponse
- ListSolutionsResponse
object
- nextToken
- solutions
- items SolutionSummary
MaxResults
- MaxResults
integer
MetricName
- MetricName
string
MetricRegex
- MetricRegex
string
MetricValue
- MetricValue
number
Metrics
- Metrics
object
Name
- Name
string
NextToken
- NextToken
string
NumBatchResults
- NumBatchResults
integer
ParameterName
- ParameterName
string
ParameterValue
- ParameterValue
string
PerformAutoML
- PerformAutoML
boolean
PerformHPO
- PerformHPO
boolean
Recipe
- Recipe
object
: Provides information about a recipe. Each recipe provides an algorithm that Amazon Personalize uses in model training when you use the CreateSolution operation.- algorithmArn
- creationDateTime
- description
- featureTransformationArn
- lastUpdatedDateTime
- name
- recipeArn
- recipeType
- status
RecipeProvider
- RecipeProvider
string
(values: SERVICE)
RecipeSummary
- RecipeSummary
object
: Provides a summary of the properties of a recipe. For a complete listing, call the DescribeRecipe API.- creationDateTime
- lastUpdatedDateTime
- name
- recipeArn
- status
RecipeType
- RecipeType
string
Recipes
- Recipes
array
- items RecipeSummary
ResourceAlreadyExistsException
ResourceConfig
- ResourceConfig
object
ResourceInUseException
ResourceNotFoundException
RoleArn
- RoleArn
string
S3DataConfig
- S3DataConfig
object
: The configuration details of an Amazon S3 input or output bucket.- kmsKeyArn
- path required
S3Location
- S3Location
string
Schemas
- Schemas
array
- items DatasetSchemaSummary
Solution
- Solution
object
: An object that provides information about a solution. A solution is a trained model that can be deployed as a campaign.- autoMLResult
- bestRecipeArn
- creationDateTime
- datasetGroupArn
- eventType
- lastUpdatedDateTime
- latestSolutionVersion
- creationDateTime
- failureReason
- lastUpdatedDateTime
- solutionVersionArn
- status
- name
- performAutoML
- performHPO
- recipeArn
- solutionArn
- solutionConfig
- algorithmHyperParameters
- autoMLConfig
- metricName
- recipeList
- items Arn
- eventValueThreshold
- featureTransformationParameters
- hpoConfig
- algorithmHyperParameterRanges
- categoricalHyperParameterRanges
- continuousHyperParameterRanges
- integerHyperParameterRanges
- hpoObjective
- metricName
- metricRegex
- type
- hpoResourceConfig
- maxNumberOfTrainingJobs
- maxParallelTrainingJobs
- algorithmHyperParameterRanges
- status
- autoMLResult
SolutionConfig
- SolutionConfig
object
: Describes the configuration properties for the solution.- algorithmHyperParameters
- autoMLConfig
- metricName
- recipeList
- items Arn
- eventValueThreshold
- featureTransformationParameters
- hpoConfig
- algorithmHyperParameterRanges
- categoricalHyperParameterRanges
- continuousHyperParameterRanges
- integerHyperParameterRanges
- hpoObjective
- metricName
- metricRegex
- type
- hpoResourceConfig
- maxNumberOfTrainingJobs
- maxParallelTrainingJobs
- algorithmHyperParameterRanges
SolutionSummary
- SolutionSummary
object
: Provides a summary of the properties of a solution. For a complete listing, call the DescribeSolution API.- creationDateTime
- lastUpdatedDateTime
- name
- solutionArn
- status
SolutionVersion
- SolutionVersion
object
: An object that provides information about a specific version of a Solution.- creationDateTime
- datasetGroupArn
- eventType
- failureReason
- lastUpdatedDateTime
- performAutoML
- performHPO
- recipeArn
- solutionArn
- solutionConfig
- algorithmHyperParameters
- autoMLConfig
- metricName
- recipeList
- items Arn
- eventValueThreshold
- featureTransformationParameters
- hpoConfig
- algorithmHyperParameterRanges
- categoricalHyperParameterRanges
- continuousHyperParameterRanges
- integerHyperParameterRanges
- hpoObjective
- metricName
- metricRegex
- type
- hpoResourceConfig
- maxNumberOfTrainingJobs
- maxParallelTrainingJobs
- algorithmHyperParameterRanges
- solutionVersionArn
- status
- trainingHours
- trainingMode
- tunedHPOParams
- algorithmHyperParameters
SolutionVersionSummary
- SolutionVersionSummary
object
: Provides a summary of the properties of a solution version. For a complete listing, call the DescribeSolutionVersion API.- creationDateTime
- failureReason
- lastUpdatedDateTime
- solutionVersionArn
- status
SolutionVersions
- SolutionVersions
array
- items SolutionVersionSummary
Solutions
- Solutions
array
- items SolutionSummary
Status
- Status
string
TrackingId
- TrackingId
string
TrainingHours
- TrainingHours
number
TrainingInputMode
- TrainingInputMode
string
TrainingMode
- TrainingMode
string
(values: FULL, UPDATE)
TransactionsPerSecond
- TransactionsPerSecond
integer
Tunable
- Tunable
boolean
TunedHPOParams
- TunedHPOParams
object
: If hyperparameter optimization (HPO) was performed, contains the hyperparameter values of the best performing model.- algorithmHyperParameters
UpdateCampaignRequest
- UpdateCampaignRequest
object
- campaignArn required
- campaignConfig
- itemExplorationConfig
- minProvisionedTPS
- solutionVersionArn
UpdateCampaignResponse
- UpdateCampaignResponse
object
- campaignArn
5.0.0
3 years ago