com.amazonaws.services.lookoutequipment.model

Class ListModelsRequest

java.lang.Object

com.amazonaws.AmazonWebServiceRequest

com.amazonaws.services.lookoutequipment.model.ListModelsRequest

All Implemented Interfaces:

HandlerContextAware, ReadLimitInfo, Serializable, Cloneable

@Generated(value="com.amazonaws:aws-java-sdk-code-generator")
public class ListModelsRequest
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
ListModelsRequest()

Method Summary

Modifier and Type	Method and Description
ListModelsRequest	clone() Creates a shallow clone of this object for all fields except the handler context.
boolean	equals(Object obj)
String	getDatasetNameBeginsWith() The beginning of the name of the dataset of the ML models to be listed.
Integer	getMaxResults() Specifies the maximum number of ML models to list.
String	getModelNameBeginsWith() The beginning of the name of the ML models being listed.
String	getNextToken() An opaque pagination token indicating where to continue the listing of ML models.
String	getStatus() The status of the ML model.
int	hashCode()
void	setDatasetNameBeginsWith(String datasetNameBeginsWith) The beginning of the name of the dataset of the ML models to be listed.
void	setMaxResults(Integer maxResults) Specifies the maximum number of ML models to list.
void	setModelNameBeginsWith(String modelNameBeginsWith) The beginning of the name of the ML models being listed.
void	setNextToken(String nextToken) An opaque pagination token indicating where to continue the listing of ML models.
void	setStatus(String status) The status of the ML model.
String	toString() Returns a string representation of this object.
ListModelsRequest	withDatasetNameBeginsWith(String datasetNameBeginsWith) The beginning of the name of the dataset of the ML models to be listed.
ListModelsRequest	withMaxResults(Integer maxResults) Specifies the maximum number of ML models to list.
ListModelsRequest	withModelNameBeginsWith(String modelNameBeginsWith) The beginning of the name of the ML models being listed.
ListModelsRequest	withNextToken(String nextToken) An opaque pagination token indicating where to continue the listing of ML models.
ListModelsRequest	withStatus(ModelStatus status) The status of the ML model.
ListModelsRequest	withStatus(String status) The status of the ML model.

Methods inherited from class com.amazonaws.AmazonWebServiceRequest

addHandlerContext, 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

getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

ListModelsRequest

public ListModelsRequest()

Method Detail

setNextToken

public void setNextToken(String nextToken)

An opaque pagination token indicating where to continue the listing of ML models.

Parameters:

nextToken - An opaque pagination token indicating where to continue the listing of ML models.

getNextToken

public String getNextToken()

An opaque pagination token indicating where to continue the listing of ML models.

Returns:

An opaque pagination token indicating where to continue the listing of ML models.

withNextToken

public ListModelsRequest withNextToken(String nextToken)

An opaque pagination token indicating where to continue the listing of ML models.

Parameters:

nextToken - An opaque pagination token indicating where to continue the listing of ML models.

Returns:

Returns a reference to this object so that method calls can be chained together.

setMaxResults

public void setMaxResults(Integer maxResults)

Specifies the maximum number of ML models to list.

Parameters:

maxResults - Specifies the maximum number of ML models to list.

getMaxResults

public Integer getMaxResults()

Specifies the maximum number of ML models to list.

Returns:

Specifies the maximum number of ML models to list.

withMaxResults

public ListModelsRequest withMaxResults(Integer maxResults)

Specifies the maximum number of ML models to list.

Parameters:

maxResults - Specifies the maximum number of ML models to list.

Returns:

Returns a reference to this object so that method calls can be chained together.

setStatus

public void setStatus(String status)

The status of the ML model.

Parameters:

status - The status of the ML model.

See Also:

ModelStatus

getStatus

public String getStatus()

The status of the ML model.

Returns:

The status of the ML model.

See Also:

ModelStatus

withStatus

public ListModelsRequest withStatus(String status)

The status of the ML model.

Parameters:

status - The status of the ML model.

Returns:

Returns a reference to this object so that method calls can be chained together.

See Also:

ModelStatus

withStatus

public ListModelsRequest withStatus(ModelStatus status)

The status of the ML model.

Parameters:

status - The status of the ML model.

Returns:

Returns a reference to this object so that method calls can be chained together.

See Also:

ModelStatus

setModelNameBeginsWith

public void setModelNameBeginsWith(String modelNameBeginsWith)

The beginning of the name of the ML models being listed.

Parameters:

modelNameBeginsWith - The beginning of the name of the ML models being listed.

getModelNameBeginsWith

public String getModelNameBeginsWith()

The beginning of the name of the ML models being listed.

Returns:

The beginning of the name of the ML models being listed.

withModelNameBeginsWith

public ListModelsRequest withModelNameBeginsWith(String modelNameBeginsWith)

The beginning of the name of the ML models being listed.

Parameters:

modelNameBeginsWith - The beginning of the name of the ML models being listed.

Returns:

Returns a reference to this object so that method calls can be chained together.

setDatasetNameBeginsWith

public void setDatasetNameBeginsWith(String datasetNameBeginsWith)

The beginning of the name of the dataset of the ML models to be listed.

Parameters:

datasetNameBeginsWith - The beginning of the name of the dataset of the ML models to be listed.

getDatasetNameBeginsWith

public String getDatasetNameBeginsWith()

The beginning of the name of the dataset of the ML models to be listed.

Returns:

The beginning of the name of the dataset of the ML models to be listed.

withDatasetNameBeginsWith

public ListModelsRequest withDatasetNameBeginsWith(String datasetNameBeginsWith)

The beginning of the name of the dataset of the ML models to be listed.

Parameters:

datasetNameBeginsWith - The beginning of the name of the dataset of the ML models to be listed.

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 ListModelsRequest clone()

Description copied from class: AmazonWebServiceRequest

Creates a shallow clone of this object for all fields except the handler context. Explicitly does not clone the deep structure of the other fields in the message.

Overrides:

clone in class AmazonWebServiceRequest

See Also:

Object.clone()