Copyright	(c) 2013-2023 Brendan Hay
License	Mozilla Public License, v. 2.0.
Maintainer	Brendan Hay
Stability	auto-generated
Portability	non-portable (GHC extensions)
Safe Haskell	Safe-Inferred
Language	Haskell2010

Amazonka.CloudWatch.Types.AnomalyDetector

Description

Synopsis

data AnomalyDetector = AnomalyDetector' {
- configuration :: Maybe AnomalyDetectorConfiguration
- dimensions :: Maybe [Dimension]
- metricMathAnomalyDetector :: Maybe MetricMathAnomalyDetector
- metricName :: Maybe Text
- namespace :: Maybe Text
- singleMetricAnomalyDetector :: Maybe SingleMetricAnomalyDetector
- stat :: Maybe Text
- stateValue :: Maybe AnomalyDetectorStateValue
}
newAnomalyDetector :: AnomalyDetector
anomalyDetector_configuration :: Lens' AnomalyDetector (Maybe AnomalyDetectorConfiguration)
anomalyDetector_dimensions :: Lens' AnomalyDetector (Maybe [Dimension])
anomalyDetector_metricMathAnomalyDetector :: Lens' AnomalyDetector (Maybe MetricMathAnomalyDetector)
anomalyDetector_metricName :: Lens' AnomalyDetector (Maybe Text)
anomalyDetector_namespace :: Lens' AnomalyDetector (Maybe Text)
anomalyDetector_singleMetricAnomalyDetector :: Lens' AnomalyDetector (Maybe SingleMetricAnomalyDetector)
anomalyDetector_stat :: Lens' AnomalyDetector (Maybe Text)
anomalyDetector_stateValue :: Lens' AnomalyDetector (Maybe AnomalyDetectorStateValue)

Documentation

data AnomalyDetector Source #

An anomaly detection model associated with a particular CloudWatch metric, statistic, or metric math expression. 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

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.
metricMathAnomalyDetector :: Maybe MetricMathAnomalyDetector
The CloudWatch metric math expression for this anomaly detector.
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.
singleMetricAnomalyDetector :: Maybe SingleMetricAnomalyDetector
The CloudWatch metric and statistic for this anomaly detector.
stat :: Maybe Text
The statistic 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

Instances

Instances details

FromXML AnomalyDetector Source #
Instance details Defined in Amazonka.CloudWatch.Types.AnomalyDetector Methods parseXML :: [Node] -> Either String AnomalyDetector #
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 #
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 #
NFData AnomalyDetector Source #
Instance details Defined in Amazonka.CloudWatch.Types.AnomalyDetector Methods rnf :: AnomalyDetector -> () #
Eq AnomalyDetector Source #
Instance details Defined in Amazonka.CloudWatch.Types.AnomalyDetector Methods (==) :: AnomalyDetector -> AnomalyDetector -> Bool # (/=) :: AnomalyDetector -> AnomalyDetector -> Bool #
Hashable AnomalyDetector Source #
Instance details Defined in Amazonka.CloudWatch.Types.AnomalyDetector Methods hashWithSalt :: Int -> AnomalyDetector -> Int # hash :: AnomalyDetector -> Int #
type Rep AnomalyDetector Source #
Instance details Defined in Amazonka.CloudWatch.Types.AnomalyDetector type Rep AnomalyDetector = D1 ('MetaData "AnomalyDetector" "Amazonka.CloudWatch.Types.AnomalyDetector" "amazonka-cloudwatch-2.0-9xq2AWTkbYo3pEtgQNn4jD" 'False) (C1 ('MetaCons "AnomalyDetector'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "configuration") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AnomalyDetectorConfiguration)) :: S1 ('MetaSel ('Just "dimensions") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Dimension]))) :: (S1 ('MetaSel ('Just "metricMathAnomalyDetector") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MetricMathAnomalyDetector)) :: S1 ('MetaSel ('Just "metricName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: ((S1 ('MetaSel ('Just "namespace") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "singleMetricAnomalyDetector") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe SingleMetricAnomalyDetector))) :: (S1 ('MetaSel ('Just "stat") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "stateValue") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AnomalyDetectorStateValue))))))

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: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.

AnomalyDetector, anomalyDetector_dimensions - The metric dimensions associated with the anomaly detection model.

$sel:metricMathAnomalyDetector:AnomalyDetector', anomalyDetector_metricMathAnomalyDetector - The CloudWatch metric math expression for this anomaly detector.

AnomalyDetector, anomalyDetector_metricName - The name of the metric associated with the anomaly detection model.

AnomalyDetector, anomalyDetector_namespace - The namespace of the metric associated with the anomaly detection model.

$sel:singleMetricAnomalyDetector:AnomalyDetector', anomalyDetector_singleMetricAnomalyDetector - The CloudWatch metric and statistic for this anomaly detector.

AnomalyDetector, anomalyDetector_stat - The statistic 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

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.

anomalyDetector_metricMathAnomalyDetector :: Lens' AnomalyDetector (Maybe MetricMathAnomalyDetector) Source #

The CloudWatch metric math expression for this anomaly detector.

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_singleMetricAnomalyDetector :: Lens' AnomalyDetector (Maybe SingleMetricAnomalyDetector) Source #

The CloudWatch metric and statistic for this anomaly detector.

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

The statistic 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