SingleMetricAnomalyDetector (AWS SDK for Java

java.lang.Object
- com.amazonaws.services.cloudwatch.model.SingleMetricAnomalyDetector

All Implemented Interfaces:

Serializable, Cloneable
```
@Generated(value="com.amazonaws:aws-java-sdk-code-generator")
public class SingleMetricAnomalyDetector
extends Object
implements Serializable, Cloneable
```
Designates the CloudWatch metric and statistic that provides the time series the anomaly detector uses as input. If you have enabled unified cross-account observability, and this account is a monitoring account, the metric can be in the same account or a source account.

See Also:

AWS API Documentation, Serialized Form

Constructor Summary

Constructors
Constructor and Description

SingleMetricAnomalyDetector()

Constructors
Constructor and Description
`SingleMetricAnomalyDetector()`

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`SingleMetricAnomalyDetector`	`clone()`
`boolean`	`equals(Object obj)`
`String`	`getAccountId()` If the CloudWatch metric that provides the time series that the anomaly detector uses as input is in another account, specify that account ID here.
`List<Dimension>`	`getDimensions()` The metric dimensions to create the anomaly detection model for.
`String`	`getMetricName()` The name of the metric to create the anomaly detection model for.
`String`	`getNamespace()` The namespace of the metric to create the anomaly detection model for.
`String`	`getStat()` The statistic to use for the metric and anomaly detection model.
`int`	`hashCode()`
`void`	`setAccountId(String accountId)` If the CloudWatch metric that provides the time series that the anomaly detector uses as input is in another account, specify that account ID here.
`void`	`setDimensions(Collection<Dimension> dimensions)` The metric dimensions to create the anomaly detection model for.
`void`	`setMetricName(String metricName)` The name of the metric to create the anomaly detection model for.
`void`	`setNamespace(String namespace)` The namespace of the metric to create the anomaly detection model for.
`void`	`setStat(String stat)` The statistic to use for the metric and anomaly detection model.
`String`	`toString()` Returns a string representation of this object.
`SingleMetricAnomalyDetector`	`withAccountId(String accountId)` If the CloudWatch metric that provides the time series that the anomaly detector uses as input is in another account, specify that account ID here.
`SingleMetricAnomalyDetector`	`withDimensions(Collection<Dimension> dimensions)` The metric dimensions to create the anomaly detection model for.
`SingleMetricAnomalyDetector`	`withDimensions(Dimension... dimensions)` The metric dimensions to create the anomaly detection model for.
`SingleMetricAnomalyDetector`	`withMetricName(String metricName)` The name of the metric to create the anomaly detection model for.
`SingleMetricAnomalyDetector`	`withNamespace(String namespace)` The namespace of the metric to create the anomaly detection model for.
`SingleMetricAnomalyDetector`	`withStat(String stat)` The statistic to use for the metric and anomaly detection model.

Methods inherited from class java.lang.Object
getClass, notify, notifyAll, wait, wait, wait

- Constructor Detail
  - SingleMetricAnomalyDetector
```
public SingleMetricAnomalyDetector()
```
- Method Detail
  - setAccountId
```
public void setAccountId(String accountId)
```
    If the CloudWatch metric that provides the time series that the anomaly detector uses as input is in another account, specify that account ID here. If you omit this parameter, the current account is used.
    
    Parameters:
    
    accountId - If the CloudWatch metric that provides the time series that the anomaly detector uses as input is in another account, specify that account ID here. If you omit this parameter, the current account is used.
  - getAccountId
```
public String getAccountId()
```
    If the CloudWatch metric that provides the time series that the anomaly detector uses as input is in another account, specify that account ID here. If you omit this parameter, the current account is used.
    
    Returns:
    
    If the CloudWatch metric that provides the time series that the anomaly detector uses as input is in another account, specify that account ID here. If you omit this parameter, the current account is used.
  - withAccountId
```
public SingleMetricAnomalyDetector withAccountId(String accountId)
```
    If the CloudWatch metric that provides the time series that the anomaly detector uses as input is in another account, specify that account ID here. If you omit this parameter, the current account is used.
    
    Parameters:
    
    accountId - If the CloudWatch metric that provides the time series that the anomaly detector uses as input is in another account, specify that account ID here. If you omit this parameter, the current account is used.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setNamespace
```
public void setNamespace(String namespace)
```
    The namespace of the metric to create the anomaly detection model for.
    
    Parameters:
    
    namespace - The namespace of the metric to create the anomaly detection model for.
  - getNamespace
```
public String getNamespace()
```
    The namespace of the metric to create the anomaly detection model for.
    
    Returns:
    
    The namespace of the metric to create the anomaly detection model for.
  - withNamespace
```
public SingleMetricAnomalyDetector withNamespace(String namespace)
```
    The namespace of the metric to create the anomaly detection model for.
    
    Parameters:
    
    namespace - The namespace of the metric to create the anomaly detection model for.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setMetricName
```
public void setMetricName(String metricName)
```
    The name of the metric to create the anomaly detection model for.
    
    Parameters:
    
    metricName - The name of the metric to create the anomaly detection model for.
  - getMetricName
```
public String getMetricName()
```
    The name of the metric to create the anomaly detection model for.
    
    Returns:
    
    The name of the metric to create the anomaly detection model for.
  - withMetricName
```
public SingleMetricAnomalyDetector withMetricName(String metricName)
```
    The name of the metric to create the anomaly detection model for.
    
    Parameters:
    
    metricName - The name of the metric to create the anomaly detection model for.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - getDimensions
```
public List<Dimension> getDimensions()
```
    The metric dimensions to create the anomaly detection model for.
    
    Returns:
    
    The metric dimensions to create the anomaly detection model for.
  - setDimensions
```
public void setDimensions(Collection<Dimension> dimensions)
```
    The metric dimensions to create the anomaly detection model for.
    
    Parameters:
    
    dimensions - The metric dimensions to create the anomaly detection model for.
  - withDimensions
```
public SingleMetricAnomalyDetector withDimensions(Dimension... dimensions)
```
    The metric dimensions to create the anomaly detection model for.
    
    NOTE: This method appends the values to the existing list (if any). Use setDimensions(java.util.Collection) or withDimensions(java.util.Collection) if you want to override the existing values.
    
    Parameters:
    
    dimensions - The metric dimensions to create the anomaly detection model for.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - withDimensions
```
public SingleMetricAnomalyDetector withDimensions(Collection<Dimension> dimensions)
```
    The metric dimensions to create the anomaly detection model for.
    
    Parameters:
    
    dimensions - The metric dimensions to create the anomaly detection model for.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setStat
```
public void setStat(String stat)
```
    The statistic to use for the metric and anomaly detection model.
    
    Parameters:
    
    stat - The statistic to use for the metric and anomaly detection model.
  - getStat
```
public String getStat()
```
    The statistic to use for the metric and anomaly detection model.
    
    Returns:
    
    The statistic to use for the metric and anomaly detection model.
  - withStat
```
public SingleMetricAnomalyDetector withStat(String stat)
```
    The statistic to use for the metric and anomaly detection model.
    
    Parameters:
    
    stat - The statistic to use for the metric and anomaly detection model.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - toString
```
public String toString()
```
    Returns a string representation of this object. This is useful for testing and debugging. Sensitive data will be redacted from this string using a placeholder value.
    
    Overrides:
    
    toString in class Object
    
    Returns:
    
    A string representation of this object.
    
    See Also:
    
    Object.toString()
  - equals
```
public boolean equals(Object obj)
```
    Overrides:
    
    equals in class Object
  - hashCode
```
public int hashCode()
```
    Overrides:
    
    hashCode in class Object
  - clone
```
public SingleMetricAnomalyDetector clone()
```
    Overrides:
    
    clone in class Object

AWS SDK for Java 1.x API Reference - 1.12.778

Class SingleMetricAnomalyDetector

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Constructor Detail

SingleMetricAnomalyDetector

Method Detail

setAccountId

getAccountId

withAccountId

setNamespace

getNamespace

withNamespace

setMetricName

getMetricName

withMetricName

getDimensions

setDimensions

withDimensions

withDimensions

setStat

getStat

withStat

toString

equals

hashCode

clone