Struct aws_sdk_transcribe::model::language_model::Builder

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pub struct Builder { /* private fields */ }

Expand description

A builder for LanguageModel.

Implementations

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impl Builder

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pub fn model_name(self, input: impl Into<String>) -> Self

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.

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pub fn set_model_name(self, input: Option<String>) -> Self

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.

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pub fn create_time(self, input: DateTime) -> Self

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.

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pub fn set_create_time(self, input: Option<DateTime>) -> Self

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.

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pub fn last_modified_time(self, input: DateTime) -> Self

The date and time the specified 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.

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pub fn set_last_modified_time(self, input: Option<DateTime>) -> Self

The date and time the specified 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.

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pub fn language_code(self, input: ClmLanguageCode) -> Self

The language code used to create your custom language model. Each language model must contain terms in only one language, and the language you select for your 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.

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pub fn set_language_code(self, input: Option<ClmLanguageCode>) -> Self

The language code used to create your custom language model. Each language model must contain terms in only one language, and the language you select for your 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.

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pub fn base_model_name(self, input: BaseModelName) -> Self

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

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pub fn set_base_model_name(self, input: Option<BaseModelName>) -> Self

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

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pub fn model_status(self, input: ModelStatus) -> Self

The status of the specified custom language model. When the status displays as COMPLETED the model is ready for use.

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pub fn set_model_status(self, input: Option<ModelStatus>) -> Self

The status of the specified custom language model. When the status displays as COMPLETED the model is ready for use.

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pub fn upgrade_availability(self, input: bool) -> Self

Shows if a more current base model is available for use with the specified custom language model.

If false, your 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.

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pub fn set_upgrade_availability(self, input: Option<bool>) -> Self

Shows if a more current base model is available for use with the specified custom language model.

If false, your 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.

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pub fn failure_reason(self, input: impl Into<String>) -> Self

If ModelStatus is FAILED, FailureReason contains information about why the custom language model request failed. See also: Common Errors.

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pub fn set_failure_reason(self, input: Option<String>) -> Self

If ModelStatus is FAILED, FailureReason contains information about why the custom language model request failed. See also: Common Errors.

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pub fn input_data_config(self, input: InputDataConfig) -> Self

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.

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pub fn set_input_data_config(self, input: Option<InputDataConfig>) -> Self

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.

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