lookoutmetrics {paws.machine.learning} | R Documentation |
Amazon Lookout for Metrics
Description
This is the Amazon Lookout for Metrics API Reference. For an introduction to the service with tutorials for getting started, visit Amazon Lookout for Metrics Developer Guide.
Usage
lookoutmetrics(
config = list(),
credentials = list(),
endpoint = NULL,
region = NULL
)
Arguments
config |
Optional configuration of credentials, endpoint, and/or region.
|
credentials |
Optional credentials shorthand for the config parameter
|
endpoint |
Optional shorthand for complete URL to use for the constructed client. |
region |
Optional shorthand for AWS Region used in instantiating the client. |
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
svc <- lookoutmetrics( config = list( credentials = list( creds = list( access_key_id = "string", secret_access_key = "string", session_token = "string" ), profile = "string", anonymous = "logical" ), endpoint = "string", region = "string", close_connection = "logical", timeout = "numeric", s3_force_path_style = "logical", sts_regional_endpoint = "string" ), credentials = list( creds = list( access_key_id = "string", secret_access_key = "string", session_token = "string" ), profile = "string", anonymous = "logical" ), endpoint = "string", region = "string" )
Operations
activate_anomaly_detector | Activates an anomaly detector |
back_test_anomaly_detector | Runs a backtest for anomaly detection for the specified resource |
create_alert | Creates an alert for an anomaly detector |
create_anomaly_detector | Creates an anomaly detector |
create_metric_set | Creates a dataset |
deactivate_anomaly_detector | Deactivates an anomaly detector |
delete_alert | Deletes an alert |
delete_anomaly_detector | Deletes a detector |
describe_alert | Describes an alert |
describe_anomaly_detection_executions | Returns information about the status of the specified anomaly detection jobs |
describe_anomaly_detector | Describes a detector |
describe_metric_set | Describes a dataset |
detect_metric_set_config | Detects an Amazon S3 dataset's file format, interval, and offset |
get_anomaly_group | Returns details about a group of anomalous metrics |
get_data_quality_metrics | Returns details about the requested data quality metrics |
get_feedback | Get feedback for an anomaly group |
get_sample_data | Returns a selection of sample records from an Amazon S3 datasource |
list_alerts | Lists the alerts attached to a detector |
list_anomaly_detectors | Lists the detectors in the current AWS Region |
list_anomaly_group_related_metrics | Returns a list of measures that are potential causes or effects of an anomaly group |
list_anomaly_group_summaries | Returns a list of anomaly groups |
list_anomaly_group_time_series | Gets a list of anomalous metrics for a measure in an anomaly group |
list_metric_sets | Lists the datasets in the current AWS Region |
list_tags_for_resource | Gets a list of tags for a detector, dataset, or alert |
put_feedback | Add feedback for an anomalous metric |
tag_resource | Adds tags to a detector, dataset, or alert |
untag_resource | Removes tags from a detector, dataset, or alert |
update_alert | Make changes to an existing alert |
update_anomaly_detector | Updates a detector |
update_metric_set | Updates a dataset |
Examples
## Not run:
svc <- lookoutmetrics()
svc$activate_anomaly_detector(
Foo = 123
)
## End(Not run)