com.amazonaws.services.lexmodelsv2.model

Class SampleUtterance

java.lang.Object

com.amazonaws.services.lexmodelsv2.model.SampleUtterance

All Implemented Interfaces:

StructuredPojo, Serializable, Cloneable

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

A sample utterance that invokes an intent or respond to a slot elicitation prompt.

See Also:

AWS API Documentation, Serialized Form

Constructor Summary

Constructors

Constructor and Description
SampleUtterance()

Method Summary

Modifier and Type	Method and Description
SampleUtterance	clone()
boolean	equals(Object obj)
String	getUtterance() The sample utterance that Amazon Lex uses to build its machine-learning model to recognize intents.
int	hashCode()
void	marshall(ProtocolMarshaller protocolMarshaller) Marshalls this structured data using the given ProtocolMarshaller.
void	setUtterance(String utterance) The sample utterance that Amazon Lex uses to build its machine-learning model to recognize intents.
String	toString() Returns a string representation of this object.
SampleUtterance	withUtterance(String utterance) The sample utterance that Amazon Lex uses to build its machine-learning model to recognize intents.

Methods inherited from class java.lang.Object

getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

SampleUtterance

public SampleUtterance()

Method Detail

setUtterance

public void setUtterance(String utterance)

The sample utterance that Amazon Lex uses to build its machine-learning model to recognize intents.

Parameters:

utterance - The sample utterance that Amazon Lex uses to build its machine-learning model to recognize intents.

getUtterance

public String getUtterance()

The sample utterance that Amazon Lex uses to build its machine-learning model to recognize intents.

Returns:

The sample utterance that Amazon Lex uses to build its machine-learning model to recognize intents.

withUtterance

public SampleUtterance withUtterance(String utterance)

The sample utterance that Amazon Lex uses to build its machine-learning model to recognize intents.

Parameters:

utterance - The sample utterance that Amazon Lex uses to build its machine-learning model to recognize intents.

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 SampleUtterance clone()

Overrides:

clone in class Object

marshall

public void marshall(ProtocolMarshaller protocolMarshaller)

Description copied from interface: StructuredPojo

Marshalls this structured data using the given ProtocolMarshaller.

Specified by:

marshall in interface StructuredPojo

Parameters:

protocolMarshaller - Implementation of ProtocolMarshaller used to marshall this object's data.