personalize: Amazon Personalize

Description Usage Arguments Value Service syntax Operations Examples

View source: R/paws.R

Description

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

Usage

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personalize(config = list())

Arguments

config

Optional configuration of credentials, endpoint, and/or region.

Value

A client for the service. You can call the service's operations using syntax like svc$operation(...), where svc is the name you've assigned to the client. The available operations are listed in the Operations section.

Service syntax

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svc <- personalize(
  config = list(
    credentials = list(
      creds = list(
        access_key_id = "string",
        secret_access_key = "string",
        session_token = "string"
      ),
      profile = "string"
    ),
    endpoint = "string",
    region = "string"
  )
)

Operations

create_batch_inference_job Creates a batch inference job
create_campaign Creates a campaign by deploying a solution version
create_dataset Creates an empty dataset and adds it to the specified dataset group
create_dataset_group Creates an empty dataset group
create_dataset_import_job Creates a job that imports training data from your data source (an Amazon S3 bucket) to an Amazon Personalize dataset
create_event_tracker Creates an event tracker that you use when sending event data to the specified dataset group using the PutEvents API
create_filter Creates a recommendation filter
create_schema Creates an Amazon Personalize schema from the specified schema string
create_solution Creates the configuration for training a model
create_solution_version Trains or retrains an active solution
delete_campaign Removes a campaign by deleting the solution deployment
delete_dataset Deletes a dataset
delete_dataset_group Deletes a dataset group
delete_event_tracker Deletes the event tracker
delete_filter Deletes a filter
delete_schema Deletes a schema
delete_solution Deletes all versions of a solution and the Solution object itself
describe_algorithm Describes the given algorithm
describe_batch_inference_job Gets the properties of a batch inference job including name, Amazon Resource Name (ARN), status, input and output configurations, and the ARN of the solution version used to generate the recommendations
describe_campaign Describes the given campaign, including its status
describe_dataset Describes the given dataset
describe_dataset_group Describes the given dataset group
describe_dataset_import_job Describes the dataset import job created by CreateDatasetImportJob, including the import job status
describe_event_tracker Describes an event tracker
describe_feature_transformation Describes the given feature transformation
describe_filter Describes a filter's properties
describe_recipe Describes a recipe
describe_schema Describes a schema
describe_solution Describes a solution
describe_solution_version Describes a specific version of a solution
get_solution_metrics Gets the metrics for the specified solution version
list_batch_inference_jobs Gets a list of the batch inference jobs that have been performed off of a solution version
list_campaigns Returns a list of campaigns that use the given solution
list_dataset_groups Returns a list of dataset groups
list_dataset_import_jobs Returns a list of dataset import jobs that use the given dataset
list_datasets Returns the list of datasets contained in the given dataset group
list_event_trackers Returns the list of event trackers associated with the account
list_filters Lists all filters that belong to a given dataset group
list_recipes Returns a list of available recipes
list_schemas Returns the list of schemas associated with the account
list_solutions Returns a list of solutions that use the given dataset group
list_solution_versions Returns a list of solution versions for the given solution
update_campaign Updates a campaign by either deploying a new solution or changing the value of the campaign's minProvisionedTPS parameter

Examples

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## Not run: 
svc <- personalize()
svc$create_batch_inference_job(
  Foo = 123
)

## End(Not run)

paws documentation built on Sept. 5, 2021, 5:19 p.m.

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