pub struct Builder { /* private fields */ }Expand description
A builder for CreateLanguageModelOutput.
Implementations§
source§impl Builder
impl Builder
sourcepub fn language_code(self, input: ClmLanguageCode) -> Self
pub fn language_code(self, input: ClmLanguageCode) -> Self
The language code you selected for your custom language model.
sourcepub fn set_language_code(self, input: Option<ClmLanguageCode>) -> Self
pub fn set_language_code(self, input: Option<ClmLanguageCode>) -> Self
The language code you selected for your custom language model.
Examples found in repository?
src/json_deser.rs (lines 269-278)
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pub(crate) fn deser_operation_crate_operation_create_language_model(
value: &[u8],
mut builder: crate::output::create_language_model_output::Builder,
) -> Result<
crate::output::create_language_model_output::Builder,
aws_smithy_json::deserialize::error::DeserializeError,
> {
let mut tokens_owned =
aws_smithy_json::deserialize::json_token_iter(crate::json_deser::or_empty_doc(value))
.peekable();
let tokens = &mut tokens_owned;
aws_smithy_json::deserialize::token::expect_start_object(tokens.next())?;
loop {
match tokens.next().transpose()? {
Some(aws_smithy_json::deserialize::Token::EndObject { .. }) => break,
Some(aws_smithy_json::deserialize::Token::ObjectKey { key, .. }) => {
match key.to_unescaped()?.as_ref() {
"LanguageCode" => {
builder = builder.set_language_code(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| {
s.to_unescaped()
.map(|u| crate::model::ClmLanguageCode::from(u.as_ref()))
})
.transpose()?,
);
}
"BaseModelName" => {
builder = builder.set_base_model_name(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| {
s.to_unescaped()
.map(|u| crate::model::BaseModelName::from(u.as_ref()))
})
.transpose()?,
);
}
"ModelName" => {
builder = builder.set_model_name(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| s.to_unescaped().map(|u| u.into_owned()))
.transpose()?,
);
}
"InputDataConfig" => {
builder = builder.set_input_data_config(
crate::json_deser::deser_structure_crate_model_input_data_config(
tokens,
)?,
);
}
"ModelStatus" => {
builder = builder.set_model_status(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| {
s.to_unescaped()
.map(|u| crate::model::ModelStatus::from(u.as_ref()))
})
.transpose()?,
);
}
_ => aws_smithy_json::deserialize::token::skip_value(tokens)?,
}
}
other => {
return Err(
aws_smithy_json::deserialize::error::DeserializeError::custom(format!(
"expected object key or end object, found: {:?}",
other
)),
)
}
}
}
if tokens.next().is_some() {
return Err(
aws_smithy_json::deserialize::error::DeserializeError::custom(
"found more JSON tokens after completing parsing",
),
);
}
Ok(builder)
}sourcepub fn base_model_name(self, input: BaseModelName) -> Self
pub fn base_model_name(self, input: BaseModelName) -> Self
The Amazon Transcribe standard language model, or base model, you specified when creating your custom language model.
sourcepub fn set_base_model_name(self, input: Option<BaseModelName>) -> Self
pub fn set_base_model_name(self, input: Option<BaseModelName>) -> Self
The Amazon Transcribe standard language model, or base model, you specified when creating your custom language model.
Examples found in repository?
src/json_deser.rs (lines 281-290)
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pub(crate) fn deser_operation_crate_operation_create_language_model(
value: &[u8],
mut builder: crate::output::create_language_model_output::Builder,
) -> Result<
crate::output::create_language_model_output::Builder,
aws_smithy_json::deserialize::error::DeserializeError,
> {
let mut tokens_owned =
aws_smithy_json::deserialize::json_token_iter(crate::json_deser::or_empty_doc(value))
.peekable();
let tokens = &mut tokens_owned;
aws_smithy_json::deserialize::token::expect_start_object(tokens.next())?;
loop {
match tokens.next().transpose()? {
Some(aws_smithy_json::deserialize::Token::EndObject { .. }) => break,
Some(aws_smithy_json::deserialize::Token::ObjectKey { key, .. }) => {
match key.to_unescaped()?.as_ref() {
"LanguageCode" => {
builder = builder.set_language_code(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| {
s.to_unescaped()
.map(|u| crate::model::ClmLanguageCode::from(u.as_ref()))
})
.transpose()?,
);
}
"BaseModelName" => {
builder = builder.set_base_model_name(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| {
s.to_unescaped()
.map(|u| crate::model::BaseModelName::from(u.as_ref()))
})
.transpose()?,
);
}
"ModelName" => {
builder = builder.set_model_name(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| s.to_unescaped().map(|u| u.into_owned()))
.transpose()?,
);
}
"InputDataConfig" => {
builder = builder.set_input_data_config(
crate::json_deser::deser_structure_crate_model_input_data_config(
tokens,
)?,
);
}
"ModelStatus" => {
builder = builder.set_model_status(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| {
s.to_unescaped()
.map(|u| crate::model::ModelStatus::from(u.as_ref()))
})
.transpose()?,
);
}
_ => aws_smithy_json::deserialize::token::skip_value(tokens)?,
}
}
other => {
return Err(
aws_smithy_json::deserialize::error::DeserializeError::custom(format!(
"expected object key or end object, found: {:?}",
other
)),
)
}
}
}
if tokens.next().is_some() {
return Err(
aws_smithy_json::deserialize::error::DeserializeError::custom(
"found more JSON tokens after completing parsing",
),
);
}
Ok(builder)
}sourcepub fn model_name(self, input: impl Into<String>) -> Self
pub fn model_name(self, input: impl Into<String>) -> Self
The name of your custom language model.
sourcepub fn set_model_name(self, input: Option<String>) -> Self
pub fn set_model_name(self, input: Option<String>) -> Self
The name of your custom language model.
Examples found in repository?
src/json_deser.rs (lines 293-299)
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pub(crate) fn deser_operation_crate_operation_create_language_model(
value: &[u8],
mut builder: crate::output::create_language_model_output::Builder,
) -> Result<
crate::output::create_language_model_output::Builder,
aws_smithy_json::deserialize::error::DeserializeError,
> {
let mut tokens_owned =
aws_smithy_json::deserialize::json_token_iter(crate::json_deser::or_empty_doc(value))
.peekable();
let tokens = &mut tokens_owned;
aws_smithy_json::deserialize::token::expect_start_object(tokens.next())?;
loop {
match tokens.next().transpose()? {
Some(aws_smithy_json::deserialize::Token::EndObject { .. }) => break,
Some(aws_smithy_json::deserialize::Token::ObjectKey { key, .. }) => {
match key.to_unescaped()?.as_ref() {
"LanguageCode" => {
builder = builder.set_language_code(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| {
s.to_unescaped()
.map(|u| crate::model::ClmLanguageCode::from(u.as_ref()))
})
.transpose()?,
);
}
"BaseModelName" => {
builder = builder.set_base_model_name(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| {
s.to_unescaped()
.map(|u| crate::model::BaseModelName::from(u.as_ref()))
})
.transpose()?,
);
}
"ModelName" => {
builder = builder.set_model_name(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| s.to_unescaped().map(|u| u.into_owned()))
.transpose()?,
);
}
"InputDataConfig" => {
builder = builder.set_input_data_config(
crate::json_deser::deser_structure_crate_model_input_data_config(
tokens,
)?,
);
}
"ModelStatus" => {
builder = builder.set_model_status(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| {
s.to_unescaped()
.map(|u| crate::model::ModelStatus::from(u.as_ref()))
})
.transpose()?,
);
}
_ => aws_smithy_json::deserialize::token::skip_value(tokens)?,
}
}
other => {
return Err(
aws_smithy_json::deserialize::error::DeserializeError::custom(format!(
"expected object key or end object, found: {:?}",
other
)),
)
}
}
}
if tokens.next().is_some() {
return Err(
aws_smithy_json::deserialize::error::DeserializeError::custom(
"found more JSON tokens after completing parsing",
),
);
}
Ok(builder)
}sourcepub fn input_data_config(self, input: InputDataConfig) -> Self
pub fn input_data_config(self, input: InputDataConfig) -> Self
Lists your data access role ARN (Amazon Resource Name) and the Amazon S3 locations you provided for your training (S3Uri) and tuning (TuningDataS3Uri) data.
sourcepub fn set_input_data_config(self, input: Option<InputDataConfig>) -> Self
pub fn set_input_data_config(self, input: Option<InputDataConfig>) -> Self
Lists your data access role ARN (Amazon Resource Name) and the Amazon S3 locations you provided for your training (S3Uri) and tuning (TuningDataS3Uri) data.
Examples found in repository?
src/json_deser.rs (lines 302-306)
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pub(crate) fn deser_operation_crate_operation_create_language_model(
value: &[u8],
mut builder: crate::output::create_language_model_output::Builder,
) -> Result<
crate::output::create_language_model_output::Builder,
aws_smithy_json::deserialize::error::DeserializeError,
> {
let mut tokens_owned =
aws_smithy_json::deserialize::json_token_iter(crate::json_deser::or_empty_doc(value))
.peekable();
let tokens = &mut tokens_owned;
aws_smithy_json::deserialize::token::expect_start_object(tokens.next())?;
loop {
match tokens.next().transpose()? {
Some(aws_smithy_json::deserialize::Token::EndObject { .. }) => break,
Some(aws_smithy_json::deserialize::Token::ObjectKey { key, .. }) => {
match key.to_unescaped()?.as_ref() {
"LanguageCode" => {
builder = builder.set_language_code(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| {
s.to_unescaped()
.map(|u| crate::model::ClmLanguageCode::from(u.as_ref()))
})
.transpose()?,
);
}
"BaseModelName" => {
builder = builder.set_base_model_name(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| {
s.to_unescaped()
.map(|u| crate::model::BaseModelName::from(u.as_ref()))
})
.transpose()?,
);
}
"ModelName" => {
builder = builder.set_model_name(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| s.to_unescaped().map(|u| u.into_owned()))
.transpose()?,
);
}
"InputDataConfig" => {
builder = builder.set_input_data_config(
crate::json_deser::deser_structure_crate_model_input_data_config(
tokens,
)?,
);
}
"ModelStatus" => {
builder = builder.set_model_status(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| {
s.to_unescaped()
.map(|u| crate::model::ModelStatus::from(u.as_ref()))
})
.transpose()?,
);
}
_ => aws_smithy_json::deserialize::token::skip_value(tokens)?,
}
}
other => {
return Err(
aws_smithy_json::deserialize::error::DeserializeError::custom(format!(
"expected object key or end object, found: {:?}",
other
)),
)
}
}
}
if tokens.next().is_some() {
return Err(
aws_smithy_json::deserialize::error::DeserializeError::custom(
"found more JSON tokens after completing parsing",
),
);
}
Ok(builder)
}sourcepub fn model_status(self, input: ModelStatus) -> Self
pub fn model_status(self, input: ModelStatus) -> Self
The status of your custom language model. When the status displays as COMPLETED, your model is ready to use.
sourcepub fn set_model_status(self, input: Option<ModelStatus>) -> Self
pub fn set_model_status(self, input: Option<ModelStatus>) -> Self
The status of your custom language model. When the status displays as COMPLETED, your model is ready to use.
Examples found in repository?
src/json_deser.rs (lines 309-318)
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pub(crate) fn deser_operation_crate_operation_create_language_model(
value: &[u8],
mut builder: crate::output::create_language_model_output::Builder,
) -> Result<
crate::output::create_language_model_output::Builder,
aws_smithy_json::deserialize::error::DeserializeError,
> {
let mut tokens_owned =
aws_smithy_json::deserialize::json_token_iter(crate::json_deser::or_empty_doc(value))
.peekable();
let tokens = &mut tokens_owned;
aws_smithy_json::deserialize::token::expect_start_object(tokens.next())?;
loop {
match tokens.next().transpose()? {
Some(aws_smithy_json::deserialize::Token::EndObject { .. }) => break,
Some(aws_smithy_json::deserialize::Token::ObjectKey { key, .. }) => {
match key.to_unescaped()?.as_ref() {
"LanguageCode" => {
builder = builder.set_language_code(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| {
s.to_unescaped()
.map(|u| crate::model::ClmLanguageCode::from(u.as_ref()))
})
.transpose()?,
);
}
"BaseModelName" => {
builder = builder.set_base_model_name(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| {
s.to_unescaped()
.map(|u| crate::model::BaseModelName::from(u.as_ref()))
})
.transpose()?,
);
}
"ModelName" => {
builder = builder.set_model_name(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| s.to_unescaped().map(|u| u.into_owned()))
.transpose()?,
);
}
"InputDataConfig" => {
builder = builder.set_input_data_config(
crate::json_deser::deser_structure_crate_model_input_data_config(
tokens,
)?,
);
}
"ModelStatus" => {
builder = builder.set_model_status(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| {
s.to_unescaped()
.map(|u| crate::model::ModelStatus::from(u.as_ref()))
})
.transpose()?,
);
}
_ => aws_smithy_json::deserialize::token::skip_value(tokens)?,
}
}
other => {
return Err(
aws_smithy_json::deserialize::error::DeserializeError::custom(format!(
"expected object key or end object, found: {:?}",
other
)),
)
}
}
}
if tokens.next().is_some() {
return Err(
aws_smithy_json::deserialize::error::DeserializeError::custom(
"found more JSON tokens after completing parsing",
),
);
}
Ok(builder)
}sourcepub fn build(self) -> CreateLanguageModelOutput
pub fn build(self) -> CreateLanguageModelOutput
Consumes the builder and constructs a CreateLanguageModelOutput.
Examples found in repository?
src/operation_deser.rs (line 222)
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pub fn parse_create_language_model_response(
response: &http::Response<bytes::Bytes>,
) -> std::result::Result<
crate::output::CreateLanguageModelOutput,
crate::error::CreateLanguageModelError,
> {
Ok({
#[allow(unused_mut)]
let mut output = crate::output::create_language_model_output::Builder::default();
let _ = response;
output = crate::json_deser::deser_operation_crate_operation_create_language_model(
response.body().as_ref(),
output,
)
.map_err(crate::error::CreateLanguageModelError::unhandled)?;
output.build()
})
}