Struct aws_sdk_transcribe::model::LanguageModel

#[non_exhaustive]
pub struct LanguageModel {
    pub model_name: Option<String>,
    pub create_time: Option<DateTime>,
    pub last_modified_time: Option<DateTime>,
    pub language_code: Option<ClmLanguageCode>,
    pub base_model_name: Option<BaseModelName>,
    pub model_status: Option<ModelStatus>,
    pub upgrade_availability: Option<bool>,
    pub failure_reason: Option<String>,
    pub input_data_config: Option<InputDataConfig>,
}

The structure used to describe a custom language model.

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

model_name: Option<String>

The name of the custom language model.

create_time: Option<DateTime>

The time the custom language model was created.

last_modified_time: Option<DateTime>

The most recent time the custom language model was modified.

language_code: Option<ClmLanguageCode>

The language code you used to create your custom language model.

base_model_name: Option<BaseModelName>

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

model_status: Option<ModelStatus>

The creation status of a custom language model. When the status is COMPLETED the model is ready for use.

upgrade_availability: Option<bool>

Whether the base model used for the custom language model is up to date. If this field is true then you are running the most up-to-date version of the base model in your custom language model.

failure_reason: Option<String>

The reason why the custom language model couldn't be created.

input_data_config: Option<InputDataConfig>

The data access role and Amazon S3 prefixes for the input files used to train the custom language model.

Implementations

impl LanguageModel

pub fn model_name(&self) -> Option<&str>

The name of the custom language model.

pub fn create_time(&self) -> Option<&DateTime>

The time the custom language model was created.

pub fn last_modified_time(&self) -> Option<&DateTime>

The most recent time the custom language model was modified.

pub fn language_code(&self) -> Option<&ClmLanguageCode>

The language code you used to create your custom language model.

pub fn base_model_name(&self) -> Option<&BaseModelName>

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

pub fn model_status(&self) -> Option<&ModelStatus>

The creation status of a custom language model. When the status is COMPLETED the model is ready for use.

pub fn upgrade_availability(&self) -> Option<bool>

Whether the base model used for the custom language model is up to date. If this field is true then you are running the most up-to-date version of the base model in your custom language model.

pub fn failure_reason(&self) -> Option<&str>

The reason why the custom language model couldn't be created.

pub fn input_data_config(&self) -> Option<&InputDataConfig>

The data access role and Amazon S3 prefixes for the input files used to train the custom language model.

impl LanguageModel

pub fn builder() -> Builder

Creates a new builder-style object to manufacture LanguageModel

Trait Implementations

impl Clone for LanguageModel

fn clone(&self) -> LanguageModel

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for LanguageModel

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl PartialEq<LanguageModel> for LanguageModel

fn eq(&self, other: &LanguageModel) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &LanguageModel) -> bool

This method tests for !=.

impl StructuralPartialEq for LanguageModel