Personalize#
Client#
- class Personalize.Client#
A low-level client representing Amazon Personalize
Amazon Personalize is a machine learning service that makes it easy to add individualized recommendations to customers.
import boto3 client = boto3.client('personalize')
These are the available methods:
- can_paginate
- close
- create_batch_inference_job
- create_batch_segment_job
- create_campaign
- create_data_deletion_job
- create_dataset
- create_dataset_export_job
- create_dataset_group
- create_dataset_import_job
- create_event_tracker
- create_filter
- create_metric_attribution
- create_recommender
- create_schema
- create_solution
- create_solution_version
- delete_campaign
- delete_dataset
- delete_dataset_group
- delete_event_tracker
- delete_filter
- delete_metric_attribution
- delete_recommender
- delete_schema
- delete_solution
- describe_algorithm
- describe_batch_inference_job
- describe_batch_segment_job
- describe_campaign
- describe_data_deletion_job
- describe_dataset
- describe_dataset_export_job
- describe_dataset_group
- describe_dataset_import_job
- describe_event_tracker
- describe_feature_transformation
- describe_filter
- describe_metric_attribution
- describe_recipe
- describe_recommender
- describe_schema
- describe_solution
- describe_solution_version
- get_paginator
- get_solution_metrics
- get_waiter
- list_batch_inference_jobs
- list_batch_segment_jobs
- list_campaigns
- list_data_deletion_jobs
- list_dataset_export_jobs
- list_dataset_groups
- list_dataset_import_jobs
- list_datasets
- list_event_trackers
- list_filters
- list_metric_attribution_metrics
- list_metric_attributions
- list_recipes
- list_recommenders
- list_schemas
- list_solution_versions
- list_solutions
- list_tags_for_resource
- start_recommender
- stop_recommender
- stop_solution_version_creation
- tag_resource
- untag_resource
- update_campaign
- update_dataset
- update_metric_attribution
- update_recommender
- update_solution
Paginators#
Paginators are available on a client instance via the get_paginator method. For more detailed instructions and examples on the usage of paginators, see the paginators user guide.
The available paginators are: