Amazon Personalize
Amazon Personalize is a machine learning service that makes it easy to add individualized recommendations to customers.
personalize(config = list())
config |
Optional configuration of credentials, endpoint, and/or region. |
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"
)
)| 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 |
## Not run: svc <- personalize() svc$create_batch_inference_job( Foo = 123 ) ## End(Not run)
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