LookoutEquipment#
Client#
- class LookoutEquipment.Client#
A low-level client representing Amazon Lookout for Equipment (LookoutEquipment)
Amazon Lookout for Equipment is a machine learning service that uses advanced analytics to identify anomalies in machines from sensor data for use in predictive maintenance.
client = session.create_client('lookoutequipment')
These are the available methods:
- can_paginate
- close
- create_dataset
- create_inference_scheduler
- create_label
- create_label_group
- create_model
- create_retraining_scheduler
- delete_dataset
- delete_inference_scheduler
- delete_label
- delete_label_group
- delete_model
- delete_resource_policy
- delete_retraining_scheduler
- describe_data_ingestion_job
- describe_dataset
- describe_inference_scheduler
- describe_label
- describe_label_group
- describe_model
- describe_model_version
- describe_resource_policy
- describe_retraining_scheduler
- get_paginator
- get_waiter
- import_dataset
- import_model_version
- list_data_ingestion_jobs
- list_datasets
- list_inference_events
- list_inference_executions
- list_inference_schedulers
- list_label_groups
- list_labels
- list_model_versions
- list_models
- list_retraining_schedulers
- list_sensor_statistics
- list_tags_for_resource
- put_resource_policy
- start_data_ingestion_job
- start_inference_scheduler
- start_retraining_scheduler
- stop_inference_scheduler
- stop_retraining_scheduler
- tag_resource
- untag_resource
- update_active_model_version
- update_inference_scheduler
- update_label_group
- update_model
- update_retraining_scheduler
Client Exceptions#
Client exceptions are available on a client instance via the exceptions property. For more detailed instructions and examples on the exact usage of client exceptions, see the error handling user guide.
The available client exceptions are: