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

  All Methods

  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 Amazon S3 location of the training data you want to use to create a new custom language model, and permissions to access this location.
  String	getLanguageCode () The language code that represents the language of your model.
  String	getModelName () A unique name, chosen by you, for your custom language model.
  List<Tag>	getTags () Adds one or more custom tags, each in the form of a key:value pair, to a new custom 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 Amazon S3 location of the training data you want to use to create a new custom language model, and permissions to access this location.
  void	setLanguageCode (String languageCode) The language code that represents the language of your model.
  void	setModelName (String modelName) A unique name, chosen by you, for your custom language model.
  void	setTags (Collection<Tag> tags) Adds one or more custom tags, each in the form of a key:value pair, to a new custom 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 Amazon S3 location of the training data you want to use to create a new custom language model, and permissions to access this location.
  CreateLanguageModelRequest	withLanguageCode (CLMLanguageCode languageCode) The language code that represents the language of your model.
  CreateLanguageModelRequest	withLanguageCode (String languageCode) The language code that represents the language of your model.
  CreateLanguageModelRequest	withModelName (String modelName) A unique name, chosen by you, for your custom language model.
  CreateLanguageModelRequest	withTags (Collection<Tag> tags) Adds one or more custom tags, each in the form of a key:value pair, to a new custom language model at the time you create this new model.
  CreateLanguageModelRequest	withTags (Tag... tags) Adds one or more custom tags, each in the form of a key:value pair, to a new custom 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 code that represents the language of your model. Each custom language model must contain terms in only one language, and the language you select for your custom language model must match the language of your training and tuning data.

    For a list of supported languages and their associated language codes, refer to the Supported languages table. Note that US English (en-US) is the only language supported with Amazon Transcribe Medical.

    A custom language model can only be used to transcribe files in the same language as the model. For example, if you create a custom language model using US English (en-US), you can only apply this model to files that contain English audio.

    Parameters:

    languageCode - The language code that represents the language of your model. Each custom language model must contain terms in only one language, and the language you select for your custom language model must match the language of your training and tuning data.

    For a list of supported languages and their associated language codes, refer to the Supported languages table. Note that US English (en-US) is the only language supported with Amazon Transcribe Medical.

    A custom language model can only be used to transcribe files in the same language as the model. For example, if you create a custom language model using US English (en-US), you can only apply this model to files that contain English audio.

    See Also:

    CLMLanguageCode

  • getLanguageCode

    public String getLanguageCode()

    The language code that represents the language of your model. Each custom language model must contain terms in only one language, and the language you select for your custom language model must match the language of your training and tuning data.

    For a list of supported languages and their associated language codes, refer to the Supported languages table. Note that US English (en-US) is the only language supported with Amazon Transcribe Medical.

    A custom language model can only be used to transcribe files in the same language as the model. For example, if you create a custom language model using US English (en-US), you can only apply this model to files that contain English audio.

    Returns:

    The language code that represents the language of your model. Each custom language model must contain terms in only one language, and the language you select for your custom language model must match the language of your training and tuning data.

    For a list of supported languages and their associated language codes, refer to the Supported languages table. Note that US English (en-US) is the only language supported with Amazon Transcribe Medical.

    A custom language model can only be used to transcribe files in the same language as the model. For example, if you create a custom language model using US English (en-US), you can only apply this model to files that contain English audio.

    See Also:

    CLMLanguageCode

  • withLanguageCode

    public CreateLanguageModelRequest withLanguageCode(String languageCode)

    The language code that represents the language of your model. Each custom language model must contain terms in only one language, and the language you select for your custom language model must match the language of your training and tuning data.

    For a list of supported languages and their associated language codes, refer to the Supported languages table. Note that US English (en-US) is the only language supported with Amazon Transcribe Medical.

    A custom language model can only be used to transcribe files in the same language as the model. For example, if you create a custom language model using US English (en-US), you can only apply this model to files that contain English audio.

    Parameters:

    languageCode - The language code that represents the language of your model. Each custom language model must contain terms in only one language, and the language you select for your custom language model must match the language of your training and tuning data.

    For a list of supported languages and their associated language codes, refer to the Supported languages table. Note that US English (en-US) is the only language supported with Amazon Transcribe Medical.

    A custom language model can only be used to transcribe files in the same language as the model. For example, if you create a custom language model using US English (en-US), you can only apply this model to files that contain English audio.

    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 code that represents the language of your model. Each custom language model must contain terms in only one language, and the language you select for your custom language model must match the language of your training and tuning data.

    For a list of supported languages and their associated language codes, refer to the Supported languages table. Note that US English (en-US) is the only language supported with Amazon Transcribe Medical.

    A custom language model can only be used to transcribe files in the same language as the model. For example, if you create a custom language model using US English (en-US), you can only apply this model to files that contain English audio.

    Parameters:

    languageCode - The language code that represents the language of your model. Each custom language model must contain terms in only one language, and the language you select for your custom language model must match the language of your training and tuning data.

    For a list of supported languages and their associated language codes, refer to the Supported languages table. Note that US English (en-US) is the only language supported with Amazon Transcribe Medical.

    A custom language model can only be used to transcribe files in the same language as the model. For example, if you create a custom language model using US English (en-US), you can only apply this model to files that contain English audio.

    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)

    A unique name, chosen by you, for your 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 new custom language model with the same name as an existing custom language model, you get a ConflictException error.

    Parameters:

    modelName - A unique name, chosen by you, for your 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 new custom language model with the same name as an existing custom language model, you get a ConflictException error.

  • getModelName

    public String getModelName()

    A unique name, chosen by you, for your 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 new custom language model with the same name as an existing custom language model, you get a ConflictException error.

    Returns:

    A unique name, chosen by you, for your 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 new custom language model with the same name as an existing custom language model, you get a ConflictException error.

  • withModelName

    public CreateLanguageModelRequest withModelName(String modelName)

    A unique name, chosen by you, for your 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 new custom language model with the same name as an existing custom language model, you get a ConflictException error.

    Parameters:

    modelName - A unique name, chosen by you, for your 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 new custom language model with the same name as an existing custom 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 the Amazon S3 location of the training data you want to use to create a new custom language model, and permissions to access this location.

    When using InputDataConfig, you must include these sub-parameters: S3Uri, which is the Amazon S3 location of your training data, and DataAccessRoleArn, which is the Amazon Resource Name (ARN) of the role that has permission to access your specified Amazon S3 location. You can optionally include TuningDataS3Uri, which is the Amazon S3 location of your tuning data. If you specify different Amazon S3 locations for training and tuning data, the ARN you use must have permissions to access both locations.

    Parameters:

    inputDataConfig - Contains the Amazon S3 location of the training data you want to use to create a new custom language model, and permissions to access this location.

    When using InputDataConfig, you must include these sub-parameters: S3Uri, which is the Amazon S3 location of your training data, and DataAccessRoleArn, which is the Amazon Resource Name (ARN) of the role that has permission to access your specified Amazon S3 location. You can optionally include TuningDataS3Uri, which is the Amazon S3 location of your tuning data. If you specify different Amazon S3 locations for training and tuning data, the ARN you use must have permissions to access both locations.

  • getInputDataConfig

    public InputDataConfig getInputDataConfig()

    Contains the Amazon S3 location of the training data you want to use to create a new custom language model, and permissions to access this location.

    When using InputDataConfig, you must include these sub-parameters: S3Uri, which is the Amazon S3 location of your training data, and DataAccessRoleArn, which is the Amazon Resource Name (ARN) of the role that has permission to access your specified Amazon S3 location. You can optionally include TuningDataS3Uri, which is the Amazon S3 location of your tuning data. If you specify different Amazon S3 locations for training and tuning data, the ARN you use must have permissions to access both locations.

    Returns:

    Contains the Amazon S3 location of the training data you want to use to create a new custom language model, and permissions to access this location.

    When using InputDataConfig, you must include these sub-parameters: S3Uri, which is the Amazon S3 location of your training data, and DataAccessRoleArn, which is the Amazon Resource Name (ARN) of the role that has permission to access your specified Amazon S3 location. You can optionally include TuningDataS3Uri, which is the Amazon S3 location of your tuning data. If you specify different Amazon S3 locations for training and tuning data, the ARN you use must have permissions to access both locations.

  • withInputDataConfig

    public CreateLanguageModelRequest withInputDataConfig(InputDataConfig inputDataConfig)

    Contains the Amazon S3 location of the training data you want to use to create a new custom language model, and permissions to access this location.

    When using InputDataConfig, you must include these sub-parameters: S3Uri, which is the Amazon S3 location of your training data, and DataAccessRoleArn, which is the Amazon Resource Name (ARN) of the role that has permission to access your specified Amazon S3 location. You can optionally include TuningDataS3Uri, which is the Amazon S3 location of your tuning data. If you specify different Amazon S3 locations for training and tuning data, the ARN you use must have permissions to access both locations.

    Parameters:

    inputDataConfig - Contains the Amazon S3 location of the training data you want to use to create a new custom language model, and permissions to access this location.

    When using InputDataConfig, you must include these sub-parameters: S3Uri, which is the Amazon S3 location of your training data, and DataAccessRoleArn, which is the Amazon Resource Name (ARN) of the role that has permission to access your specified Amazon S3 location. You can optionally include TuningDataS3Uri, which is the Amazon S3 location of your tuning data. If you specify different Amazon S3 locations for training and tuning data, the ARN you use must have permissions to access both locations.

    Returns:

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

  • getTags

    public List<Tag> getTags()

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

    To learn more about using tags with Amazon Transcribe, refer to Tagging resources.

    Returns:

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

    To learn more about using tags with Amazon Transcribe, refer to Tagging resources.

  • setTags

    public void setTags(Collection<Tag> tags)

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

    To learn more about using tags with Amazon Transcribe, refer to Tagging resources.

    Parameters:

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

    To learn more about using tags with Amazon Transcribe, refer to Tagging resources.

  • withTags

    public CreateLanguageModelRequest withTags(Tag... tags)

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

    To learn more about using tags with Amazon Transcribe, refer to Tagging resources.

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

    To learn more about using tags with Amazon Transcribe, refer to Tagging resources.

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

    To learn more about using tags with Amazon Transcribe, refer to Tagging resources.

    Parameters:

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

    To learn more about using tags with Amazon Transcribe, refer to Tagging resources.

    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()