Class AnomalyDetectorConfiguration
- All Implemented Interfaces:
Serializable,SdkPojo,ToCopyableBuilder<AnomalyDetectorConfiguration.Builder,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.
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Nested Class Summary
Nested Classes -
Method Summary
Modifier and TypeMethodDescriptionThe speed at which the anomaly detection model adapts to sustained changes in the metric's baseline.final StringThe speed at which the anomaly detection model adapts to sustained changes in the metric's baseline.builder()final booleanfinal booleanequalsBySdkFields(Object obj) Indicates whether some other object is "equal to" this one by SDK fields.An array of time ranges to exclude from use when the anomaly detection model is trained.final <T> Optional<T> getValueForField(String fieldName, Class<T> clazz) final booleanFor responses, this returns true if the service returned a value for the ExcludedTimeRanges property.final inthashCode()final StringThe time zone to use for the metric.The aggressiveness with which CloudWatch filters outliers from the metric data that the anomaly detection model uses.final StringThe aggressiveness with which CloudWatch filters outliers from the metric data that the anomaly detection model uses.static Class<? extends AnomalyDetectorConfiguration.Builder> Take this object and create a builder that contains all of the current property values of this object.final StringtoString()Returns a string representation of this object.Methods inherited from interface software.amazon.awssdk.utils.builder.ToCopyableBuilder
copy
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Method Details
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hasExcludedTimeRanges
public final boolean hasExcludedTimeRanges()For responses, this returns true if the service returned a value for the ExcludedTimeRanges property. This DOES NOT check that the value is non-empty (for which, you should check theisEmpty()method on the property). This is useful because the SDK will never return a null collection or map, but you may need to differentiate between the service returning nothing (or null) and the service returning an empty collection or map. For requests, this returns true if a value for the property was specified in the request builder, and false if a value was not specified. -
excludedTimeRanges
An array of time ranges to exclude from use when the anomaly detection model is trained. Use this to make sure that events that could cause unusual values for the metric, such as deployments, aren't used when CloudWatch creates the model.
Attempts to modify the collection returned by this method will result in an UnsupportedOperationException.
This method will never return null. If you would like to know whether the service returned this field (so that you can differentiate between null and empty), you can use the
hasExcludedTimeRanges()method.- Returns:
- An array of time ranges to exclude from use when the anomaly detection model is trained. Use this to make sure that events that could cause unusual values for the metric, such as deployments, aren't used when CloudWatch creates the model.
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metricTimezone
The time zone to use for the metric. This is useful to enable the model to automatically account for daylight savings time changes if the metric is sensitive to such time changes.
To specify a time zone, use the name of the time zone as specified in the standard tz database. For more information, see tz database.
- Returns:
- The time zone to use for the metric. This is useful to enable the model to automatically account for
daylight savings time changes if the metric is sensitive to such time changes.
To specify a time zone, use the name of the time zone as specified in the standard tz database. For more information, see tz database.
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adaptationSpeed
The speed at which the anomaly detection model adapts to sustained changes in the metric's baseline. Faster adaptation lets the model track shifting workloads sooner, but increases the chance that the model treats a real, lasting change as normal.
Valid values:
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FAST- The model adapts quickly to sustained changes in the baseline. -
NORMAL- The model adapts at a moderate pace. This is the default value. -
SLOW- The model adapts slowly, reducing the risk of treating a real change as normal.
If the service returns an enum value that is not available in the current SDK version,
adaptationSpeedwill returnAnomalyDetectorAdaptationSpeed.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available fromadaptationSpeedAsString().- Returns:
- The speed at which the anomaly detection model adapts to sustained changes in the metric's baseline.
Faster adaptation lets the model track shifting workloads sooner, but increases the chance that the model
treats a real, lasting change as normal.
Valid values:
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FAST- The model adapts quickly to sustained changes in the baseline. -
NORMAL- The model adapts at a moderate pace. This is the default value. -
SLOW- The model adapts slowly, reducing the risk of treating a real change as normal.
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adaptationSpeedAsString
The speed at which the anomaly detection model adapts to sustained changes in the metric's baseline. Faster adaptation lets the model track shifting workloads sooner, but increases the chance that the model treats a real, lasting change as normal.
Valid values:
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FAST- The model adapts quickly to sustained changes in the baseline. -
NORMAL- The model adapts at a moderate pace. This is the default value. -
SLOW- The model adapts slowly, reducing the risk of treating a real change as normal.
If the service returns an enum value that is not available in the current SDK version,
adaptationSpeedwill returnAnomalyDetectorAdaptationSpeed.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available fromadaptationSpeedAsString().- Returns:
- The speed at which the anomaly detection model adapts to sustained changes in the metric's baseline.
Faster adaptation lets the model track shifting workloads sooner, but increases the chance that the model
treats a real, lasting change as normal.
Valid values:
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FAST- The model adapts quickly to sustained changes in the baseline. -
NORMAL- The model adapts at a moderate pace. This is the default value. -
SLOW- The model adapts slowly, reducing the risk of treating a real change as normal.
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outlierFilteringStrength
The aggressiveness with which CloudWatch filters outliers from the metric data that the anomaly detection model uses. Stronger filtering excludes more extreme values, which can produce a tighter band of expected values but may also suppress legitimate spikes.
Valid values:
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MINIMAL- Excludes only the most extreme outliers. -
MODERATE- Excludes a moderate range of outliers. This is the default value. -
STRICT- Excludes a wider range of outliers, which can suppress legitimate spikes.
If the service returns an enum value that is not available in the current SDK version,
outlierFilteringStrengthwill returnAnomalyDetectorOutlierFilteringStrength.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available fromoutlierFilteringStrengthAsString().- Returns:
- The aggressiveness with which CloudWatch filters outliers from the metric data that the anomaly detection
model uses. Stronger filtering excludes more extreme values, which can produce a tighter band of expected
values but may also suppress legitimate spikes.
Valid values:
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MINIMAL- Excludes only the most extreme outliers. -
MODERATE- Excludes a moderate range of outliers. This is the default value. -
STRICT- Excludes a wider range of outliers, which can suppress legitimate spikes.
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outlierFilteringStrengthAsString
The aggressiveness with which CloudWatch filters outliers from the metric data that the anomaly detection model uses. Stronger filtering excludes more extreme values, which can produce a tighter band of expected values but may also suppress legitimate spikes.
Valid values:
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MINIMAL- Excludes only the most extreme outliers. -
MODERATE- Excludes a moderate range of outliers. This is the default value. -
STRICT- Excludes a wider range of outliers, which can suppress legitimate spikes.
If the service returns an enum value that is not available in the current SDK version,
outlierFilteringStrengthwill returnAnomalyDetectorOutlierFilteringStrength.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available fromoutlierFilteringStrengthAsString().- Returns:
- The aggressiveness with which CloudWatch filters outliers from the metric data that the anomaly detection
model uses. Stronger filtering excludes more extreme values, which can produce a tighter band of expected
values but may also suppress legitimate spikes.
Valid values:
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MINIMAL- Excludes only the most extreme outliers. -
MODERATE- Excludes a moderate range of outliers. This is the default value. -
STRICT- Excludes a wider range of outliers, which can suppress legitimate spikes.
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toBuilder
Description copied from interface:ToCopyableBuilderTake this object and create a builder that contains all of the current property values of this object.- Specified by:
toBuilderin interfaceToCopyableBuilder<AnomalyDetectorConfiguration.Builder,AnomalyDetectorConfiguration> - Returns:
- a builder for type T
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builder
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serializableBuilderClass
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hashCode
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equals
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equalsBySdkFields
Description copied from interface:SdkPojoIndicates whether some other object is "equal to" this one by SDK fields. An SDK field is a modeled, non-inherited field in anSdkPojoclass, and is generated based on a service model.If an
SdkPojoclass does not have any inherited fields,equalsBySdkFieldsandequalsare essentially the same.- Specified by:
equalsBySdkFieldsin interfaceSdkPojo- Parameters:
obj- the object to be compared with- Returns:
- true if the other object equals to this object by sdk fields, false otherwise.
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toString
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getValueForField
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sdkFields
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sdkFieldNameToField
- Specified by:
sdkFieldNameToFieldin interfaceSdkPojo- Returns:
- The mapping between the field name and its corresponding field.
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