Amazon Lookout for Metrics
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.
lookoutmetrics( config = list(), credentials = list(), endpoint = NULL, region = NULL )
config
: Optional configuration of credentials, endpoint, and/or region.
credentials :
creds :
profile : The name of a profile to use. If not given, then the default profile is used.
anonymous : Set anonymous credentials.
endpoint : The complete URL to use for the constructed client.
region : The AWS Region used in instantiating the client.
close_connection : Immediately close all HTTP connections.
timeout : The time in seconds till a timeout exception is thrown when attempting to make a connection. The default is 60 seconds.
s3_force_path_style : Set this to true
to force the request to use path-style addressing, i.e. http://s3.amazonaws.com/BUCKET/KEY
.
sts_regional_endpoint : Set sts regional endpoint resolver to regional or legacy https://docs.aws.amazon.com/sdkref/latest/guide/feature-sts-regionalized-endpoints.html
credentials
: Optional credentials shorthand for the config parameter
creds :
profile : The name of a profile to use. If not given, then the default profile is used.
anonymous : Set anonymous credentials.
endpoint
: Optional shorthand for complete URL to use for the constructed client.
region
: Optional shorthand for AWS Region used in instantiating the client.
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.
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"
)
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 |
## Not run: svc <- lookoutmetrics() svc$activate_anomaly_detector( Foo = 123 ) ## End(Not run)
Useful links