Class CreateLanguageModelRequest
- All Implemented Interfaces:
SdkPojo,ToCopyableBuilder<CreateLanguageModelRequest.Builder,CreateLanguageModelRequest>
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Nested Class Summary
Nested Classes -
Method Summary
Modifier and TypeMethodDescriptionfinal BaseModelNameThe Amazon Transcribe standard language model, or base model, used to create your custom language model.final StringThe Amazon Transcribe standard language model, or base model, used to create your custom language model.builder()final booleanfinal booleanequalsBySdkFields(Object obj) Indicates whether some other object is "equal to" this one by SDK fields.final <T> Optional<T> getValueForField(String fieldName, Class<T> clazz) Used to retrieve the value of a field from any class that extendsSdkRequest.final inthashCode()final booleanhasTags()For responses, this returns true if the service returned a value for the Tags property.final InputDataConfigContains 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.final CLMLanguageCodeThe language code that represents the language of your model.final StringThe language code that represents the language of your model.final StringA unique name, chosen by you, for your custom language model.static Class<? extends CreateLanguageModelRequest.Builder> 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.Take this object and create a builder that contains all of the current property values of this object.final StringtoString()Returns a string representation of this object.Methods inherited from class software.amazon.awssdk.awscore.AwsRequest
overrideConfigurationMethods inherited from interface software.amazon.awssdk.utils.builder.ToCopyableBuilder
copy
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Method Details
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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.If the service returns an enum value that is not available in the current SDK version,
languageCodewill returnCLMLanguageCode.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available fromlanguageCodeAsString().- 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:
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languageCodeAsString
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.If the service returns an enum value that is not available in the current SDK version,
languageCodewill returnCLMLanguageCode.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available fromlanguageCodeAsString().- 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:
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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, chooseNarrowBand.If the service returns an enum value that is not available in the current SDK version,
baseModelNamewill returnBaseModelName.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available frombaseModelNameAsString().- 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, chooseNarrowBand. - See Also:
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baseModelNameAsString
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, chooseNarrowBand.If the service returns an enum value that is not available in the current SDK version,
baseModelNamewill returnBaseModelName.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available frombaseModelNameAsString().- 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, chooseNarrowBand. - See Also:
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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
ConflictExceptionerror.- 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
ConflictExceptionerror.
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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, andDataAccessRoleArn, which is the Amazon Resource Name (ARN) of the role that has permission to access your specified Amazon S3 location. You can optionally includeTuningDataS3Uri, 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, andDataAccessRoleArn, which is the Amazon Resource Name (ARN) of the role that has permission to access your specified Amazon S3 location. You can optionally includeTuningDataS3Uri, 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.
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hasTags
public final boolean hasTags()For responses, this returns true if the service returned a value for the Tags property. This DOES NOT check that the value is non-empty (for which, you should check theisEmpty()method on the property). This is useful because the SDK will never return a null collection or map, but you may need to differentiate between the service returning nothing (or null) and the service returning an empty collection or map. For requests, this returns true if a value for the property was specified in the request builder, and false if a value was not specified. -
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.
Attempts to modify the collection returned by this method will result in an UnsupportedOperationException.
This method will never return null. If you would like to know whether the service returned this field (so that you can differentiate between null and empty), you can use the
hasTags()method.- 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.
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toBuilder
Description copied from interface:ToCopyableBuilderTake this object and create a builder that contains all of the current property values of this object.- Specified by:
toBuilderin interfaceToCopyableBuilder<CreateLanguageModelRequest.Builder,CreateLanguageModelRequest> - Specified by:
toBuilderin classTranscribeRequest- Returns:
- a builder for type T
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builder
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serializableBuilderClass
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hashCode
public final int hashCode()- Overrides:
hashCodein classAwsRequest
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equals
- Overrides:
equalsin classAwsRequest
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equalsBySdkFields
Description copied from interface:SdkPojoIndicates whether some other object is "equal to" this one by SDK fields. An SDK field is a modeled, non-inherited field in anSdkPojoclass, and is generated based on a service model.If an
SdkPojoclass does not have any inherited fields,equalsBySdkFieldsandequalsare essentially the same.- Specified by:
equalsBySdkFieldsin interfaceSdkPojo- Parameters:
obj- the object to be compared with- Returns:
- true if the other object equals to this object by sdk fields, false otherwise.
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toString
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getValueForField
Description copied from class:SdkRequestUsed to retrieve the value of a field from any class that extendsSdkRequest. The field name specified should match the member name from the corresponding service-2.json model specified in the codegen-resources folder for a given service. The class specifies what class to cast the returned value to. If the returned value is also a modeled class, theSdkRequest.getValueForField(String, Class)method will again be available.- Overrides:
getValueForFieldin classSdkRequest- Parameters:
fieldName- The name of the member to be retrieved.clazz- The class to cast the returned object to.- Returns:
- Optional containing the casted return value
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sdkFields
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