com.amazonaws.services.transcribe.model

Class CreateLanguageModelRequest

java.lang.Object

com.amazonaws.AmazonWebServiceRequest

com.amazonaws.services.transcribe.model.CreateLanguageModelRequest

All Implemented Interfaces:

HandlerContextAware, ReadLimitInfo, Serializable, Cloneable

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

Method Summary

Modifier and Type	Method and Description
CreateLanguageModelRequest	clone() Creates a shallow clone of this object for all fields except the handler context.
boolean	equals(Object obj)
String	getBaseModelName() The Amazon Transcribe standard language model, or base model used to create your custom language model.
InputDataConfig	getInputDataConfig() Contains the data access role and the Amazon S3 prefixes to read the required input files to create a custom language model.
String	getLanguageCode() The language of the input text you're using to train your custom language model.
String	getModelName() The name you choose for your custom language model when you create it.
List<Tag>	getTags() Adds one or more tags, each in the form of a key:value pair, to a new language model at the time you create this new model.
int	hashCode()
void	setBaseModelName(String baseModelName) The Amazon Transcribe standard language model, or base model used to create your custom language model.
void	setInputDataConfig(InputDataConfig inputDataConfig) Contains the data access role and the Amazon S3 prefixes to read the required input files to create a custom language model.
void	setLanguageCode(String languageCode) The language of the input text you're using to train your custom language model.
void	setModelName(String modelName) The name you choose for your custom language model when you create it.
void	setTags(Collection<Tag> tags) Adds one or more tags, each in the form of a key:value pair, to a new language model at the time you create this new model.
String	toString() Returns a string representation of this object.
CreateLanguageModelRequest	withBaseModelName(BaseModelName baseModelName) The Amazon Transcribe standard language model, or base model used to create your custom language model.
CreateLanguageModelRequest	withBaseModelName(String baseModelName) The Amazon Transcribe standard language model, or base model used to create your custom language model.
CreateLanguageModelRequest	withInputDataConfig(InputDataConfig inputDataConfig) Contains the data access role and the Amazon S3 prefixes to read the required input files to create a custom language model.
CreateLanguageModelRequest	withLanguageCode(CLMLanguageCode languageCode) The language of the input text you're using to train your custom language model.
CreateLanguageModelRequest	withLanguageCode(String languageCode) The language of the input text you're using to train your custom language model.
CreateLanguageModelRequest	withModelName(String modelName) The name you choose for your custom language model when you create it.
CreateLanguageModelRequest	withTags(Collection<Tag> tags) Adds one or more tags, each in the form of a key:value pair, to a new language model at the time you create this new model.
CreateLanguageModelRequest	withTags(Tag... tags) Adds one or more tags, each in the form of a key:value pair, to a new language model at the time you create this new 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

CreateLanguageModelRequest

public CreateLanguageModelRequest()

Method Detail

setLanguageCode

public void setLanguageCode(String languageCode)

The language of the input text you're using to train your custom language model.

Parameters:

languageCode - The language of the input text you're using to train your custom language model.

See Also:

CLMLanguageCode

getLanguageCode

public String getLanguageCode()

The language of the input text you're using to train your custom language model.

Returns:

The language of the input text you're using to train your custom language model.

See Also:

CLMLanguageCode

withLanguageCode

public CreateLanguageModelRequest withLanguageCode(String languageCode)

The language of the input text you're using to train your custom language model.

Parameters:

languageCode - The language of the input text you're using to train your custom language model.

Returns:

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

See Also:

CLMLanguageCode

withLanguageCode

public CreateLanguageModelRequest withLanguageCode(CLMLanguageCode languageCode)

The language of the input text you're using to train your custom language model.

Parameters:

languageCode - The language of the input text you're using to train your custom language model.

Returns:

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

See Also:

CLMLanguageCode

setBaseModelName

public void setBaseModelName(String baseModelName)

The Amazon Transcribe standard language model, or base model used to create your custom language model.

If you want to use your custom language model to transcribe audio with a sample rate of 16,000 Hz or greater, choose Wideband.

If you want to use your custom language model to transcribe audio with a sample rate that is less than 16,000 Hz, choose Narrowband.

Parameters:

baseModelName - The Amazon Transcribe standard language model, or base model used to create your custom language model.

If you want to use your custom language model to transcribe audio with a sample rate of 16,000 Hz or greater, choose Wideband.

If you want to use your custom language model to transcribe audio with a sample rate that is less than 16,000 Hz, choose Narrowband.

See Also:

BaseModelName

getBaseModelName

public String getBaseModelName()

The Amazon Transcribe standard language model, or base model used to create your custom language model.

If you want to use your custom language model to transcribe audio with a sample rate of 16,000 Hz or greater, choose Wideband.

If you want to use your custom language model to transcribe audio with a sample rate that is less than 16,000 Hz, choose Narrowband.

Returns:

The Amazon Transcribe standard language model, or base model used to create your custom language model.

If you want to use your custom language model to transcribe audio with a sample rate of 16,000 Hz or greater, choose Wideband.

If you want to use your custom language model to transcribe audio with a sample rate that is less than 16,000 Hz, choose Narrowband.

See Also:

BaseModelName

withBaseModelName

public CreateLanguageModelRequest withBaseModelName(String baseModelName)

The Amazon Transcribe standard language model, or base model used to create your custom language model.

If you want to use your custom language model to transcribe audio with a sample rate of 16,000 Hz or greater, choose Wideband.

If you want to use your custom language model to transcribe audio with a sample rate that is less than 16,000 Hz, choose Narrowband.

Parameters:

baseModelName - The Amazon Transcribe standard language model, or base model used to create your custom language model.

If you want to use your custom language model to transcribe audio with a sample rate of 16,000 Hz or greater, choose Wideband.

If you want to use your custom language model to transcribe audio with a sample rate that is less than 16,000 Hz, choose Narrowband.

Returns:

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

See Also:

BaseModelName

withBaseModelName

public CreateLanguageModelRequest withBaseModelName(BaseModelName baseModelName)

The Amazon Transcribe standard language model, or base model used to create your custom language model.

If you want to use your custom language model to transcribe audio with a sample rate of 16,000 Hz or greater, choose Wideband.

If you want to use your custom language model to transcribe audio with a sample rate that is less than 16,000 Hz, choose Narrowband.

Parameters:

baseModelName - The Amazon Transcribe standard language model, or base model used to create your custom language model.

If you want to use your custom language model to transcribe audio with a sample rate of 16,000 Hz or greater, choose Wideband.

If you want to use your custom language model to transcribe audio with a sample rate that is less than 16,000 Hz, choose Narrowband.

Returns:

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

See Also:

BaseModelName

setModelName

public void setModelName(String modelName)

The name you choose for your custom language model when you create it.

Parameters:

modelName - The name you choose for your custom language model when you create it.

getModelName

public String getModelName()

The name you choose for your custom language model when you create it.

Returns:

The name you choose for your custom language model when you create it.

withModelName

public CreateLanguageModelRequest withModelName(String modelName)

The name you choose for your custom language model when you create it.

Parameters:

modelName - The name you choose for your custom language model when you create it.

Returns:

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

setInputDataConfig

public void setInputDataConfig(InputDataConfig inputDataConfig)

Contains the data access role and the Amazon S3 prefixes to read the required input files to create a custom language model.

Parameters:

inputDataConfig - Contains the data access role and the Amazon S3 prefixes to read the required input files to create a custom language model.

getInputDataConfig

public InputDataConfig getInputDataConfig()

Contains the data access role and the Amazon S3 prefixes to read the required input files to create a custom language model.

Returns:

Contains the data access role and the Amazon S3 prefixes to read the required input files to create a custom language model.

withInputDataConfig

public CreateLanguageModelRequest withInputDataConfig(InputDataConfig inputDataConfig)

Contains the data access role and the Amazon S3 prefixes to read the required input files to create a custom language model.

Parameters:

inputDataConfig - Contains the data access role and the Amazon S3 prefixes to read the required input files to create a custom language model.

Returns:

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

getTags

public List<Tag> getTags()

Adds one or more tags, each in the form of a key:value pair, to a new language model at the time you create this new model.

Returns:

Adds one or more tags, each in the form of a key:value pair, to a new language model at the time you create this new model.

setTags

public void setTags(Collection<Tag> tags)

Adds one or more tags, each in the form of a key:value pair, to a new language model at the time you create this new model.

Parameters:

tags - Adds one or more tags, each in the form of a key:value pair, to a new language model at the time you create this new model.

withTags

public CreateLanguageModelRequest withTags(Tag... tags)

Adds one or more tags, each in the form of a key:value pair, to a new language model at the time you create this new model.

NOTE: This method appends the values to the existing list (if any). Use setTags(java.util.Collection) or withTags(java.util.Collection) if you want to override the existing values.

Parameters:

tags - Adds one or more tags, each in the form of a key:value pair, to a new language model at the time you create this new model.

Returns:

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

withTags

public CreateLanguageModelRequest withTags(Collection<Tag> tags)

Adds one or more tags, each in the form of a key:value pair, to a new language model at the time you create this new model.

Parameters:

tags - Adds one or more tags, each in the form of a key:value pair, to a new language model at the time you create this new 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 CreateLanguageModelRequest 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()