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
)
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.
Optional configuration of credentials, endpoint, and/or region.
credentials:
creds:
access_key_id: AWS access key ID
secret_access_key: AWS secret access key
session_token: AWS temporary session token
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
Optional credentials shorthand for the config parameter
creds:
access_key_id: AWS access key ID
secret_access_key: AWS secret access key
session_token: AWS temporary session token
profile: The name of a profile to use. If not given, then the default profile is used.
anonymous: Set anonymous credentials.
Optional shorthand for complete URL to use for the constructed client.
Optional shorthand for AWS Region used in instantiating the client.
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 |
if (FALSE) {
svc <- lookoutmetrics()
svc$activate_anomaly_detector(
Foo = 123
)
}
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