public static interface LanguageModel.Builder extends SdkPojo, CopyableBuilder<LanguageModel.Builder,LanguageModel>
| Modifier and Type | Method and Description |
|---|---|
LanguageModel.Builder |
baseModelName(BaseModelName baseModelName)
The Amazon Transcribe standard language model, or base model, used to create your custom language model.
|
LanguageModel.Builder |
baseModelName(String baseModelName)
The Amazon Transcribe standard language model, or base model, used to create your custom language model.
|
LanguageModel.Builder |
createTime(Instant createTime)
The date and time the specified custom language model was created.
|
LanguageModel.Builder |
failureReason(String failureReason)
If
ModelStatus is FAILED, FailureReason contains information about why
the custom language model request failed. |
default LanguageModel.Builder |
inputDataConfig(Consumer<InputDataConfig.Builder> inputDataConfig)
The Amazon S3 location of the input files used to train and tune your custom language model, in addition to
the data access role ARN (Amazon Resource Name) that has permissions to access these data.
|
LanguageModel.Builder |
inputDataConfig(InputDataConfig inputDataConfig)
The Amazon S3 location of the input files used to train and tune your custom language model, in addition to
the data access role ARN (Amazon Resource Name) that has permissions to access these data.
|
LanguageModel.Builder |
languageCode(CLMLanguageCode languageCode)
The language code used to create your custom language model.
|
LanguageModel.Builder |
languageCode(String languageCode)
The language code used to create your custom language model.
|
LanguageModel.Builder |
lastModifiedTime(Instant lastModifiedTime)
The date and time the specified custom language model was last modified.
|
LanguageModel.Builder |
modelName(String modelName)
A unique name, chosen by you, for your custom language model.
|
LanguageModel.Builder |
modelStatus(ModelStatus modelStatus)
The status of the specified custom language model.
|
LanguageModel.Builder |
modelStatus(String modelStatus)
The status of the specified custom language model.
|
LanguageModel.Builder |
upgradeAvailability(Boolean upgradeAvailability)
Shows if a more current base model is available for use with the specified custom language model.
|
equalsBySdkFields, sdkFieldscopyapplyMutation, buildLanguageModel.Builder modelName(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.
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.
LanguageModel.Builder createTime(Instant createTime)
The date and time the specified custom language model was created.
Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example,
2022-05-04T12:32:58.761000-07:00 represents 12:32 PM UTC-7 on May 4, 2022.
createTime - The date and time the specified custom language model was created.
Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example,
2022-05-04T12:32:58.761000-07:00 represents 12:32 PM UTC-7 on May 4, 2022.
LanguageModel.Builder lastModifiedTime(Instant lastModifiedTime)
The date and time the specified custom language model was last modified.
Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example,
2022-05-04T12:32:58.761000-07:00 represents 12:32 PM UTC-7 on May 4, 2022.
lastModifiedTime - The date and time the specified custom language model was last modified.
Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example,
2022-05-04T12:32:58.761000-07:00 represents 12:32 PM UTC-7 on May 4, 2022.
LanguageModel.Builder languageCode(String languageCode)
The language code used to create your custom language 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 U.S. English (en-US) is the only language supported with Amazon Transcribe
Medical.
languageCode - The language code used to create your custom language 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 U.S. English (en-US) is the only language supported with
Amazon Transcribe Medical.
CLMLanguageCode,
CLMLanguageCodeLanguageModel.Builder languageCode(CLMLanguageCode languageCode)
The language code used to create your custom language 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 U.S. English (en-US) is the only language supported with Amazon Transcribe
Medical.
languageCode - The language code used to create your custom language 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 U.S. English (en-US) is the only language supported with
Amazon Transcribe Medical.
CLMLanguageCode,
CLMLanguageCodeLanguageModel.Builder baseModelName(String baseModelName)
The Amazon Transcribe standard language model, or base model, used to create your custom language model.
baseModelName - The Amazon Transcribe standard language model, or base model, used to create your custom language
model.BaseModelName,
BaseModelNameLanguageModel.Builder baseModelName(BaseModelName baseModelName)
The Amazon Transcribe standard language model, or base model, used to create your custom language model.
baseModelName - The Amazon Transcribe standard language model, or base model, used to create your custom language
model.BaseModelName,
BaseModelNameLanguageModel.Builder modelStatus(String modelStatus)
The status of the specified custom language model. When the status displays as COMPLETED the
model is ready for use.
modelStatus - The status of the specified custom language model. When the status displays as COMPLETED
the model is ready for use.ModelStatus,
ModelStatusLanguageModel.Builder modelStatus(ModelStatus modelStatus)
The status of the specified custom language model. When the status displays as COMPLETED the
model is ready for use.
modelStatus - The status of the specified custom language model. When the status displays as COMPLETED
the model is ready for use.ModelStatus,
ModelStatusLanguageModel.Builder upgradeAvailability(Boolean upgradeAvailability)
Shows if a more current base model is available for use with the specified custom language model.
If false, your custom language model is using the most up-to-date base model.
If true, there is a newer base model available than the one your language model is using.
Note that to update a base model, you must recreate the custom language model using the new base model. Base model upgrades for existing custom language models are not supported.
upgradeAvailability - Shows if a more current base model is available for use with the specified custom language model.
If false, your custom language model is using the most up-to-date base model.
If true, there is a newer base model available than the one your language model is using.
Note that to update a base model, you must recreate the custom language model using the new base model. Base model upgrades for existing custom language models are not supported.
LanguageModel.Builder failureReason(String failureReason)
If ModelStatus is FAILED, FailureReason contains information about why
the custom language model request failed. See also: Common Errors.
failureReason - If ModelStatus is FAILED, FailureReason contains information
about why the custom language model request failed. See also: Common Errors.LanguageModel.Builder inputDataConfig(InputDataConfig inputDataConfig)
The Amazon S3 location of the input files used to train and tune your custom language model, in addition to the data access role ARN (Amazon Resource Name) that has permissions to access these data.
inputDataConfig - The Amazon S3 location of the input files used to train and tune your custom language model, in
addition to the data access role ARN (Amazon Resource Name) that has permissions to access these data.default LanguageModel.Builder inputDataConfig(Consumer<InputDataConfig.Builder> inputDataConfig)
The Amazon S3 location of the input files used to train and tune your custom language model, in addition to the data access role ARN (Amazon Resource Name) that has permissions to access these data.
This is a convenience method that creates an instance of theInputDataConfig.Builder avoiding the
need to create one manually via InputDataConfig.builder().
When the Consumer completes, SdkBuilder.build() is called immediately and its
result is passed to inputDataConfig(InputDataConfig).
inputDataConfig - a consumer that will call methods on InputDataConfig.BuilderinputDataConfig(InputDataConfig)Copyright © 2023. All rights reserved.