AnomalyDetector (AWS Java SDK for Amazon CloudWatch 1.11.1023 API)

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

All Implemented Interfaces:

Serializable, Cloneable
```
@Generated(value="com.amazonaws:aws-java-sdk-code-generator")
public class AnomalyDetector
extends Object
implements Serializable, Cloneable
```
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 Also:

AWS API Documentation, Serialized Form

Constructor Summary

Constructors
Constructor and Description

AnomalyDetector()

Constructors
Constructor and Description
`AnomalyDetector()`

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`AnomalyDetector`	`clone()`
`boolean`	`equals(Object obj)`
`AnomalyDetectorConfiguration`	`getConfiguration()` 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.
`List<Dimension>`	`getDimensions()` The metric dimensions associated with the anomaly detection model.
`String`	`getMetricName()` The name of the metric associated with the anomaly detection model.
`String`	`getNamespace()` The namespace of the metric associated with the anomaly detection model.
`String`	`getStat()` The statistic associated with the anomaly detection model.
`String`	`getStateValue()` The current status of the anomaly detector's training.
`int`	`hashCode()`
`void`	`setConfiguration(AnomalyDetectorConfiguration 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.
`void`	`setDimensions(Collection<Dimension> dimensions)` The metric dimensions associated with the anomaly detection model.
`void`	`setMetricName(String metricName)` The name of the metric associated with the anomaly detection model.
`void`	`setNamespace(String namespace)` The namespace of the metric associated with the anomaly detection model.
`void`	`setStat(String stat)` The statistic associated with the anomaly detection model.
`void`	`setStateValue(String stateValue)` The current status of the anomaly detector's training.
`String`	`toString()` Returns a string representation of this object.
`AnomalyDetector`	`withConfiguration(AnomalyDetectorConfiguration 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`	`withDimensions(Collection<Dimension> dimensions)` The metric dimensions associated with the anomaly detection model.
`AnomalyDetector`	`withDimensions(Dimension... dimensions)` The metric dimensions associated with the anomaly detection model.
`AnomalyDetector`	`withMetricName(String metricName)` The name of the metric associated with the anomaly detection model.
`AnomalyDetector`	`withNamespace(String namespace)` The namespace of the metric associated with the anomaly detection model.
`AnomalyDetector`	`withStat(String stat)` The statistic associated with the anomaly detection model.
`AnomalyDetector`	`withStateValue(AnomalyDetectorStateValue stateValue)` The current status of the anomaly detector's training.
`AnomalyDetector`	`withStateValue(String stateValue)` The current status of the anomaly detector's training.

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

- Constructor Detail
  - AnomalyDetector
```
public AnomalyDetector()
```
- Method Detail
  - setNamespace
```
public void setNamespace(String namespace)
```
    The namespace of the metric associated with the anomaly detection model.
    
    Parameters:
    
    namespace - The namespace of the metric associated with the anomaly detection model.
  - getNamespace
```
public String getNamespace()
```
    The namespace of the metric associated with the anomaly detection model.
    
    Returns:
    
    The namespace of the metric associated with the anomaly detection model.
  - withNamespace
```
public AnomalyDetector withNamespace(String namespace)
```
    The namespace of the metric associated with the anomaly detection model.
    
    Parameters:
    
    namespace - The namespace of the metric associated with the anomaly detection model.
    
    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 associated with the anomaly detection model.
    
    Parameters:
    
    metricName - The name of the metric associated with the anomaly detection model.
  - getMetricName
```
public String getMetricName()
```
    The name of the metric associated with the anomaly detection model.
    
    Returns:
    
    The name of the metric associated with the anomaly detection model.
  - withMetricName
```
public AnomalyDetector withMetricName(String metricName)
```
    The name of the metric associated with the anomaly detection model.
    
    Parameters:
    
    metricName - The name of the metric associated with the anomaly detection model.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - getDimensions
```
public List<Dimension> getDimensions()
```
    The metric dimensions associated with the anomaly detection model.
    
    Returns:
    
    The metric dimensions associated with the anomaly detection model.
  - setDimensions
```
public void setDimensions(Collection<Dimension> dimensions)
```
    The metric dimensions associated with the anomaly detection model.
    
    Parameters:
    
    dimensions - The metric dimensions associated with the anomaly detection model.
  - withDimensions
```
public AnomalyDetector withDimensions(Dimension... dimensions)
```
    The metric dimensions associated with the anomaly detection model.
    
    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 associated with the anomaly detection model.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - withDimensions
```
public AnomalyDetector withDimensions(Collection<Dimension> dimensions)
```
    The metric dimensions associated with the anomaly detection model.
    
    Parameters:
    
    dimensions - The metric dimensions associated with the anomaly detection model.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setStat
```
public void setStat(String stat)
```
    The statistic associated with the anomaly detection model.
    
    Parameters:
    
    stat - The statistic associated with the anomaly detection model.
  - getStat
```
public String getStat()
```
    The statistic associated with the anomaly detection model.
    
    Returns:
    
    The statistic associated with the anomaly detection model.
  - withStat
```
public AnomalyDetector withStat(String stat)
```
    The statistic associated with the anomaly detection model.
    
    Parameters:
    
    stat - The statistic associated with the anomaly detection model.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setConfiguration
```
public void setConfiguration(AnomalyDetectorConfiguration 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.
    
    Parameters:
    
    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.
  - getConfiguration
```
public AnomalyDetectorConfiguration getConfiguration()
```
    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.
    
    Returns:
    
    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.
  - withConfiguration
```
public AnomalyDetector withConfiguration(AnomalyDetectorConfiguration 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.
    
    Parameters:
    
    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.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setStateValue
```
public void setStateValue(String stateValue)
```
    The current status of the anomaly detector's training. The possible values are TRAINED | PENDING_TRAINING | TRAINED_INSUFFICIENT_DATA
    
    Parameters:
    
    stateValue - The current status of the anomaly detector's training. The possible values are TRAINED | PENDING_TRAINING | TRAINED_INSUFFICIENT_DATA
    
    See Also:
    
    AnomalyDetectorStateValue
  - getStateValue
```
public String getStateValue()
```
    The current status of the anomaly detector's training. The possible values are TRAINED | PENDING_TRAINING | TRAINED_INSUFFICIENT_DATA
    
    Returns:
    
    The current status of the anomaly detector's training. The possible values are TRAINED | PENDING_TRAINING | TRAINED_INSUFFICIENT_DATA
    
    See Also:
    
    AnomalyDetectorStateValue
  - withStateValue
```
public AnomalyDetector withStateValue(String stateValue)
```
    The current status of the anomaly detector's training. The possible values are TRAINED | PENDING_TRAINING | TRAINED_INSUFFICIENT_DATA
    
    Parameters:
    
    stateValue - The current status of the anomaly detector's training. The possible values are TRAINED | PENDING_TRAINING | TRAINED_INSUFFICIENT_DATA
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    AnomalyDetectorStateValue
  - withStateValue
```
public AnomalyDetector withStateValue(AnomalyDetectorStateValue stateValue)
```
    The current status of the anomaly detector's training. The possible values are TRAINED | PENDING_TRAINING | TRAINED_INSUFFICIENT_DATA
    
    Parameters:
    
    stateValue - The current status of the anomaly detector's training. The possible values are TRAINED | PENDING_TRAINING | TRAINED_INSUFFICIENT_DATA
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    AnomalyDetectorStateValue
  - 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 AnomalyDetector clone()
```
    Overrides:
    
    clone in class Object

Class AnomalyDetector

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Constructor Detail

AnomalyDetector

Method Detail

setNamespace

getNamespace

withNamespace

setMetricName

getMetricName

withMetricName

getDimensions

setDimensions

withDimensions

withDimensions

setStat

getStat

withStat

setConfiguration

getConfiguration

withConfiguration

setStateValue

getStateValue

withStateValue

withStateValue

toString

equals

hashCode

clone