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 your data access role ARN (Amazon Resource Name) and the Amazon S3 locations of your training ( S3Uri) and tuning (TuningDataS3Uri) data.
String	getLanguageCode() The language of your custom language model; note that the language code you select must match the language of your training and tuning data.
String	getModelName() The name of your new custom language model.
List<Tag>	getTags() Optionally add tags, each in the form of a key:value pair, to your new language 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 your data access role ARN (Amazon Resource Name) and the Amazon S3 locations of your training ( S3Uri) and tuning (TuningDataS3Uri) data.
void	setLanguageCode(String languageCode) The language of your custom language model; note that the language code you select must match the language of your training and tuning data.
void	setModelName(String modelName) The name of your new custom language model.
void	setTags(Collection<Tag> tags) Optionally add tags, each in the form of a key:value pair, to your new language 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 your data access role ARN (Amazon Resource Name) and the Amazon S3 locations of your training ( S3Uri) and tuning (TuningDataS3Uri) data.
CreateLanguageModelRequest	withLanguageCode(CLMLanguageCode languageCode) The language of your custom language model; note that the language code you select must match the language of your training and tuning data.
CreateLanguageModelRequest	withLanguageCode(String languageCode) The language of your custom language model; note that the language code you select must match the language of your training and tuning data.
CreateLanguageModelRequest	withModelName(String modelName) The name of your new custom language model.
CreateLanguageModelRequest	withTags(Collection<Tag> tags) Optionally add tags, each in the form of a key:value pair, to your new language model.
CreateLanguageModelRequest	withTags(Tag... tags) Optionally add tags, each in the form of a key:value pair, to your new language 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 your custom language model; note that the language code you select must match the language of your training and tuning data.

Parameters:

languageCode - The language of your custom language model; note that the language code you select must match the language of your training and tuning data.

See Also:

CLMLanguageCode

getLanguageCode

public String getLanguageCode()

The language of your custom language model; note that the language code you select must match the language of your training and tuning data.

Returns:

The language of your custom language model; note that the language code you select must match the language of your training and tuning data.

See Also:

CLMLanguageCode

withLanguageCode

public CreateLanguageModelRequest withLanguageCode(String languageCode)

The language of your custom language model; note that the language code you select must match the language of your training and tuning data.

Parameters:

languageCode - The language of your custom language model; note that the language code you select must match the language of your training and tuning data.

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 your custom language model; note that the language code you select must match the language of your training and tuning data.

Parameters:

languageCode - The language of your custom language model; note that the language code you select must match the language of your training and tuning data.

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. Amazon Transcribe offers two options for base models: Wideband and Narrowband.

If the audio you want to transcribe has a sample rate of 16,000 Hz or greater, choose WideBand. To transcribe audio with a sample rate 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. Amazon Transcribe offers two options for base models: Wideband and Narrowband.

If the audio you want to transcribe has a sample rate of 16,000 Hz or greater, choose WideBand. To transcribe audio with a sample rate 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. Amazon Transcribe offers two options for base models: Wideband and Narrowband.

If the audio you want to transcribe has a sample rate of 16,000 Hz or greater, choose WideBand. To transcribe audio with a sample rate less than 16,000 Hz, choose NarrowBand.

Returns:

The Amazon Transcribe standard language model, or base model, used to create your custom language model. Amazon Transcribe offers two options for base models: Wideband and Narrowband.

If the audio you want to transcribe has a sample rate of 16,000 Hz or greater, choose WideBand. To transcribe audio with a sample rate 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. Amazon Transcribe offers two options for base models: Wideband and Narrowband.

If the audio you want to transcribe has a sample rate of 16,000 Hz or greater, choose WideBand. To transcribe audio with a sample rate 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. Amazon Transcribe offers two options for base models: Wideband and Narrowband.

If the audio you want to transcribe has a sample rate of 16,000 Hz or greater, choose WideBand. To transcribe audio with a sample rate 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. Amazon Transcribe offers two options for base models: Wideband and Narrowband.

If the audio you want to transcribe has a sample rate of 16,000 Hz or greater, choose WideBand. To transcribe audio with a sample rate 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. Amazon Transcribe offers two options for base models: Wideband and Narrowband.

If the audio you want to transcribe has a sample rate of 16,000 Hz or greater, choose WideBand. To transcribe audio with a sample rate 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 of your new custom language model.

This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account. If you try to create a language model with the same name as a previous language model, you get a ConflictException error.

Parameters:

modelName - The name of your new custom language model.

This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account. If you try to create a language model with the same name as a previous language model, you get a ConflictException error.

getModelName

public String getModelName()

The name of your new custom language model.

This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account. If you try to create a language model with the same name as a previous language model, you get a ConflictException error.

Returns:

The name of your new custom language model.

This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account. If you try to create a language model with the same name as a previous language model, you get a ConflictException error.

withModelName

public CreateLanguageModelRequest withModelName(String modelName)

The name of your new custom language model.

This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account. If you try to create a language model with the same name as a previous language model, you get a ConflictException error.

Parameters:

modelName - The name of your new custom language model.

This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account. If you try to create a language model with the same name as a previous language model, you get a ConflictException error.

Returns:

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

setInputDataConfig

public void setInputDataConfig(InputDataConfig inputDataConfig)

Contains your data access role ARN (Amazon Resource Name) and the Amazon S3 locations of your training ( S3Uri) and tuning (TuningDataS3Uri) data.

Parameters:

inputDataConfig - Contains your data access role ARN (Amazon Resource Name) and the Amazon S3 locations of your training ( S3Uri) and tuning (TuningDataS3Uri) data.

getInputDataConfig

public InputDataConfig getInputDataConfig()

Contains your data access role ARN (Amazon Resource Name) and the Amazon S3 locations of your training ( S3Uri) and tuning (TuningDataS3Uri) data.

Returns:

Contains your data access role ARN (Amazon Resource Name) and the Amazon S3 locations of your training ( S3Uri) and tuning (TuningDataS3Uri) data.

withInputDataConfig

public CreateLanguageModelRequest withInputDataConfig(InputDataConfig inputDataConfig)

Contains your data access role ARN (Amazon Resource Name) and the Amazon S3 locations of your training ( S3Uri) and tuning (TuningDataS3Uri) data.

Parameters:

inputDataConfig - Contains your data access role ARN (Amazon Resource Name) and the Amazon S3 locations of your training ( S3Uri) and tuning (TuningDataS3Uri) data.

Returns:

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

getTags

public List<Tag> getTags()

Optionally add tags, each in the form of a key:value pair, to your new language model. See also: .

Returns:

Optionally add tags, each in the form of a key:value pair, to your new language model. See also: .

setTags

public void setTags(Collection<Tag> tags)

Optionally add tags, each in the form of a key:value pair, to your new language model. See also: .

Parameters:

tags - Optionally add tags, each in the form of a key:value pair, to your new language model. See also: .

withTags

public CreateLanguageModelRequest withTags(Tag... tags)

Optionally add tags, each in the form of a key:value pair, to your new language model. See also: .

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 - Optionally add tags, each in the form of a key:value pair, to your new language model. See also: .

Returns:

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

withTags

public CreateLanguageModelRequest withTags(Collection<Tag> tags)

Optionally add tags, each in the form of a key:value pair, to your new language model. See also: .

Parameters:

tags - Optionally add tags, each in the form of a key:value pair, to your new language model. See also: .

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()