Copyright	(c) 2013-2021 Brendan Hay
License	Mozilla Public License, v. 2.0.
Maintainer	Brendan Hay <brendan.g.hay+amazonka@gmail.com>
Stability	auto-generated
Portability	non-portable (GHC extensions)
Safe Haskell	None

Amazonka.CloudWatch.Types.AnomalyDetector

Description

Documentation

data AnomalyDetector Source #

An anomaly detection model associated with a particular CloudWatch metric and statistic. You can use the model to display a band of expected normal values when the metric is graphed.

See: newAnomalyDetector smart constructor.

Constructors

AnomalyDetector'

Fields

metricName :: Maybe Text
The name of the metric associated with the anomaly detection model.
namespace :: Maybe Text
The namespace of the metric associated with the anomaly detection model.
stateValue :: Maybe AnomalyDetectorStateValue
The current status of the anomaly detector's training. The possible values are TRAINED | PENDING_TRAINING | TRAINED_INSUFFICIENT_DATA
stat :: Maybe Text
The statistic associated with the anomaly detection model.
configuration :: Maybe AnomalyDetectorConfiguration
The configuration specifies details about how the anomaly detection model is to be trained, including time ranges to exclude from use for training the model, and the time zone to use for the metric.
dimensions :: Maybe [Dimension]
The metric dimensions associated with the anomaly detection model.

Instances

Instances details

Eq AnomalyDetector Source #
Instance details Defined in Amazonka.CloudWatch.Types.AnomalyDetector Methods (==) :: AnomalyDetector -> AnomalyDetector -> Bool # (/=) :: AnomalyDetector -> AnomalyDetector -> Bool #
Read AnomalyDetector Source #
Instance details Defined in Amazonka.CloudWatch.Types.AnomalyDetector Methods readsPrec :: Int -> ReadS AnomalyDetector # readList :: ReadS [AnomalyDetector] # readPrec :: ReadPrec AnomalyDetector # readListPrec :: ReadPrec [AnomalyDetector] #
Show AnomalyDetector Source #
Instance details Defined in Amazonka.CloudWatch.Types.AnomalyDetector Methods showsPrec :: Int -> AnomalyDetector -> ShowS # show :: AnomalyDetector -> String # showList :: [AnomalyDetector] -> ShowS #
Generic AnomalyDetector Source #
Instance details Defined in Amazonka.CloudWatch.Types.AnomalyDetector Associated Types type Rep AnomalyDetector :: Type -> Type # Methods from :: AnomalyDetector -> Rep AnomalyDetector x # to :: Rep AnomalyDetector x -> AnomalyDetector #
NFData AnomalyDetector Source #
Instance details Defined in Amazonka.CloudWatch.Types.AnomalyDetector Methods rnf :: AnomalyDetector -> () #
Hashable AnomalyDetector Source #
Instance details Defined in Amazonka.CloudWatch.Types.AnomalyDetector Methods hashWithSalt :: Int -> AnomalyDetector -> Int # hash :: AnomalyDetector -> Int #
FromXML AnomalyDetector Source #
Instance details Defined in Amazonka.CloudWatch.Types.AnomalyDetector Methods parseXML :: [Node] -> Either String AnomalyDetector #
type Rep AnomalyDetector Source #
Instance details Defined in Amazonka.CloudWatch.Types.AnomalyDetector type Rep AnomalyDetector = D1 ('MetaData "AnomalyDetector" "Amazonka.CloudWatch.Types.AnomalyDetector" "libZSservicesZSamazonka-cloudwatchZSamazonka-cloudwatch" 'False) (C1 ('MetaCons "AnomalyDetector'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "metricName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "namespace") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "stateValue") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AnomalyDetectorStateValue)))) :: (S1 ('MetaSel ('Just "stat") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "configuration") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AnomalyDetectorConfiguration)) :*: S1 ('MetaSel ('Just "dimensions") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Dimension]))))))

newAnomalyDetector :: AnomalyDetector Source #

Create a value of AnomalyDetector with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:metricName:AnomalyDetector', anomalyDetector_metricName - The name of the metric associated with the anomaly detection model.

$sel:namespace:AnomalyDetector', anomalyDetector_namespace - The namespace of the metric associated with the anomaly detection model.

$sel:stateValue:AnomalyDetector', anomalyDetector_stateValue - The current status of the anomaly detector's training. The possible values are TRAINED | PENDING_TRAINING | TRAINED_INSUFFICIENT_DATA

$sel:stat:AnomalyDetector', anomalyDetector_stat - The statistic associated with the anomaly detection model.

$sel:configuration:AnomalyDetector', anomalyDetector_configuration - The configuration specifies details about how the anomaly detection model is to be trained, including time ranges to exclude from use for training the model, and the time zone to use for the metric.

$sel:dimensions:AnomalyDetector', anomalyDetector_dimensions - The metric dimensions associated with the anomaly detection model.

anomalyDetector_metricName :: Lens' AnomalyDetector (Maybe Text) Source #

The name of the metric associated with the anomaly detection model.

anomalyDetector_namespace :: Lens' AnomalyDetector (Maybe Text) Source #

The namespace of the metric associated with the anomaly detection model.

anomalyDetector_stateValue :: Lens' AnomalyDetector (Maybe AnomalyDetectorStateValue) Source #

The current status of the anomaly detector's training. The possible values are TRAINED | PENDING_TRAINING | TRAINED_INSUFFICIENT_DATA

anomalyDetector_stat :: Lens' AnomalyDetector (Maybe Text) Source #

The statistic associated with the anomaly detection model.

anomalyDetector_configuration :: Lens' AnomalyDetector (Maybe AnomalyDetectorConfiguration) Source #

The configuration specifies details about how the anomaly detection model is to be trained, including time ranges to exclude from use for training the model, and the time zone to use for the metric.

anomalyDetector_dimensions :: Lens' AnomalyDetector (Maybe [Dimension]) Source #

The metric dimensions associated with the anomaly detection model.