com.amazonaws.services.cloudwatch.model

Class PutAnomalyDetectorRequest

java.lang.Object

com.amazonaws.AmazonWebServiceRequest

com.amazonaws.services.cloudwatch.model.PutAnomalyDetectorRequest

All Implemented Interfaces:

HandlerContextAware, ReadLimitInfo, Serializable, Cloneable

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

See Also:

AWS API Documentation, Serialized Form

Field Summary

Fields inherited from class com.amazonaws.AmazonWebServiceRequest

NOOP

Constructor Summary

Constructors

Constructor and Description
PutAnomalyDetectorRequest()

Method Summary

Modifier and Type	Method and Description
PutAnomalyDetectorRequest	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 when training and updating the model.
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 the anomaly detection model.
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 when training and updating the model.
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 the anomaly detection model.
String	toString() Returns a string representation of this object.
PutAnomalyDetectorRequest	withConfiguration(AnomalyDetectorConfiguration configuration) The configuration specifies details about how the anomaly detection model is to be trained, including time ranges to exclude when training and updating the model.
PutAnomalyDetectorRequest	withDimensions(Collection<Dimension> dimensions) The metric dimensions to create the anomaly detection model for.
PutAnomalyDetectorRequest	withDimensions(Dimension... dimensions) The metric dimensions to create the anomaly detection model for.
PutAnomalyDetectorRequest	withMetricName(String metricName) The name of the metric to create the anomaly detection model for.
PutAnomalyDetectorRequest	withNamespace(String namespace) The namespace of the metric to create the anomaly detection model for.
PutAnomalyDetectorRequest	withStat(String stat) The statistic to use for the metric and the anomaly detection model.

Methods inherited from class com.amazonaws.AmazonWebServiceRequest

addHandlerContext, copyBaseTo, getCloneRoot, getCloneSource, getCustomQueryParameters, getCustomRequestHeaders, getGeneralProgressListener, getHandlerContext, getReadLimit, getRequestClientOptions, getRequestCredentials, getRequestCredentialsProvider, getRequestMetricCollector, getSdkClientExecutionTimeout, getSdkRequestTimeout, putCustomQueryParameter, putCustomRequestHeader, setGeneralProgressListener, setRequestCredentials, setRequestCredentialsProvider, setRequestMetricCollector, setSdkClientExecutionTimeout, setSdkRequestTimeout, withGeneralProgressListener, withRequestCredentialsProvider, withRequestMetricCollector, withSdkClientExecutionTimeout, withSdkRequestTimeout

Methods inherited from class java.lang.Object

finalize, getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

PutAnomalyDetectorRequest

public PutAnomalyDetectorRequest()

Method Detail

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 PutAnomalyDetectorRequest 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 PutAnomalyDetectorRequest 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 PutAnomalyDetectorRequest 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 PutAnomalyDetectorRequest 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 the anomaly detection model.

Parameters:

stat - The statistic to use for the metric and the anomaly detection model.

getStat

public String getStat()

The statistic to use for the metric and the anomaly detection model.

Returns:

The statistic to use for the metric and the anomaly detection model.

withStat

public PutAnomalyDetectorRequest withStat(String stat)

The statistic to use for the metric and the anomaly detection model.

Parameters:

stat - The statistic to use for the metric and 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 when training and updating the model. You can specify as many as 10 time ranges.

The configuration can also include 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 when training and updating the model. You can specify as many as 10 time ranges.

The configuration can also include 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 when training and updating the model. You can specify as many as 10 time ranges.

The configuration can also include 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 when training and updating the model. You can specify as many as 10 time ranges.

The configuration can also include the time zone to use for the metric.

withConfiguration

public PutAnomalyDetectorRequest withConfiguration(AnomalyDetectorConfiguration configuration)

The configuration specifies details about how the anomaly detection model is to be trained, including time ranges to exclude when training and updating the model. You can specify as many as 10 time ranges.

The configuration can also include 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 when training and updating the model. You can specify as many as 10 time ranges.

The configuration can also include the time zone to use for the metric.

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 PutAnomalyDetectorRequest clone()

Overrides:

clone in class AmazonWebServiceRequest