Struct aws_sdk_comprehend::model::sentiment_score::Builder
source · pub struct Builder { /* private fields */ }Expand description
A builder for SentimentScore.
Implementations§
source§impl Builder
impl Builder
sourcepub fn positive(self, input: f32) -> Self
pub fn positive(self, input: f32) -> Self
The level of confidence that Amazon Comprehend has in the accuracy of its detection of the POSITIVE sentiment.
sourcepub fn set_positive(self, input: Option<f32>) -> Self
pub fn set_positive(self, input: Option<f32>) -> Self
The level of confidence that Amazon Comprehend has in the accuracy of its detection of the POSITIVE sentiment.
Examples found in repository?
src/json_deser.rs (lines 6846-6851)
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pub(crate) fn deser_structure_crate_model_sentiment_score<'a, I>(
tokens: &mut std::iter::Peekable<I>,
) -> Result<
Option<crate::model::SentimentScore>,
aws_smithy_json::deserialize::error::DeserializeError,
>
where
I: Iterator<
Item = Result<
aws_smithy_json::deserialize::Token<'a>,
aws_smithy_json::deserialize::error::DeserializeError,
>,
>,
{
match tokens.next().transpose()? {
Some(aws_smithy_json::deserialize::Token::ValueNull { .. }) => Ok(None),
Some(aws_smithy_json::deserialize::Token::StartObject { .. }) => {
#[allow(unused_mut)]
let mut builder = crate::model::sentiment_score::Builder::default();
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() {
"Positive" => {
builder = builder.set_positive(
aws_smithy_json::deserialize::token::expect_number_or_null(
tokens.next(),
)?
.map(|v| v.to_f32_lossy()),
);
}
"Negative" => {
builder = builder.set_negative(
aws_smithy_json::deserialize::token::expect_number_or_null(
tokens.next(),
)?
.map(|v| v.to_f32_lossy()),
);
}
"Neutral" => {
builder = builder.set_neutral(
aws_smithy_json::deserialize::token::expect_number_or_null(
tokens.next(),
)?
.map(|v| v.to_f32_lossy()),
);
}
"Mixed" => {
builder = builder.set_mixed(
aws_smithy_json::deserialize::token::expect_number_or_null(
tokens.next(),
)?
.map(|v| v.to_f32_lossy()),
);
}
_ => 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
)),
)
}
}
}
Ok(Some(builder.build()))
}
_ => Err(
aws_smithy_json::deserialize::error::DeserializeError::custom(
"expected start object or null",
),
),
}
}sourcepub fn negative(self, input: f32) -> Self
pub fn negative(self, input: f32) -> Self
The level of confidence that Amazon Comprehend has in the accuracy of its detection of the NEGATIVE sentiment.
sourcepub fn set_negative(self, input: Option<f32>) -> Self
pub fn set_negative(self, input: Option<f32>) -> Self
The level of confidence that Amazon Comprehend has in the accuracy of its detection of the NEGATIVE sentiment.
Examples found in repository?
src/json_deser.rs (lines 6854-6859)
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pub(crate) fn deser_structure_crate_model_sentiment_score<'a, I>(
tokens: &mut std::iter::Peekable<I>,
) -> Result<
Option<crate::model::SentimentScore>,
aws_smithy_json::deserialize::error::DeserializeError,
>
where
I: Iterator<
Item = Result<
aws_smithy_json::deserialize::Token<'a>,
aws_smithy_json::deserialize::error::DeserializeError,
>,
>,
{
match tokens.next().transpose()? {
Some(aws_smithy_json::deserialize::Token::ValueNull { .. }) => Ok(None),
Some(aws_smithy_json::deserialize::Token::StartObject { .. }) => {
#[allow(unused_mut)]
let mut builder = crate::model::sentiment_score::Builder::default();
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() {
"Positive" => {
builder = builder.set_positive(
aws_smithy_json::deserialize::token::expect_number_or_null(
tokens.next(),
)?
.map(|v| v.to_f32_lossy()),
);
}
"Negative" => {
builder = builder.set_negative(
aws_smithy_json::deserialize::token::expect_number_or_null(
tokens.next(),
)?
.map(|v| v.to_f32_lossy()),
);
}
"Neutral" => {
builder = builder.set_neutral(
aws_smithy_json::deserialize::token::expect_number_or_null(
tokens.next(),
)?
.map(|v| v.to_f32_lossy()),
);
}
"Mixed" => {
builder = builder.set_mixed(
aws_smithy_json::deserialize::token::expect_number_or_null(
tokens.next(),
)?
.map(|v| v.to_f32_lossy()),
);
}
_ => 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
)),
)
}
}
}
Ok(Some(builder.build()))
}
_ => Err(
aws_smithy_json::deserialize::error::DeserializeError::custom(
"expected start object or null",
),
),
}
}sourcepub fn neutral(self, input: f32) -> Self
pub fn neutral(self, input: f32) -> Self
The level of confidence that Amazon Comprehend has in the accuracy of its detection of the NEUTRAL sentiment.
sourcepub fn set_neutral(self, input: Option<f32>) -> Self
pub fn set_neutral(self, input: Option<f32>) -> Self
The level of confidence that Amazon Comprehend has in the accuracy of its detection of the NEUTRAL sentiment.
Examples found in repository?
src/json_deser.rs (lines 6862-6867)
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pub(crate) fn deser_structure_crate_model_sentiment_score<'a, I>(
tokens: &mut std::iter::Peekable<I>,
) -> Result<
Option<crate::model::SentimentScore>,
aws_smithy_json::deserialize::error::DeserializeError,
>
where
I: Iterator<
Item = Result<
aws_smithy_json::deserialize::Token<'a>,
aws_smithy_json::deserialize::error::DeserializeError,
>,
>,
{
match tokens.next().transpose()? {
Some(aws_smithy_json::deserialize::Token::ValueNull { .. }) => Ok(None),
Some(aws_smithy_json::deserialize::Token::StartObject { .. }) => {
#[allow(unused_mut)]
let mut builder = crate::model::sentiment_score::Builder::default();
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() {
"Positive" => {
builder = builder.set_positive(
aws_smithy_json::deserialize::token::expect_number_or_null(
tokens.next(),
)?
.map(|v| v.to_f32_lossy()),
);
}
"Negative" => {
builder = builder.set_negative(
aws_smithy_json::deserialize::token::expect_number_or_null(
tokens.next(),
)?
.map(|v| v.to_f32_lossy()),
);
}
"Neutral" => {
builder = builder.set_neutral(
aws_smithy_json::deserialize::token::expect_number_or_null(
tokens.next(),
)?
.map(|v| v.to_f32_lossy()),
);
}
"Mixed" => {
builder = builder.set_mixed(
aws_smithy_json::deserialize::token::expect_number_or_null(
tokens.next(),
)?
.map(|v| v.to_f32_lossy()),
);
}
_ => 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
)),
)
}
}
}
Ok(Some(builder.build()))
}
_ => Err(
aws_smithy_json::deserialize::error::DeserializeError::custom(
"expected start object or null",
),
),
}
}sourcepub fn mixed(self, input: f32) -> Self
pub fn mixed(self, input: f32) -> Self
The level of confidence that Amazon Comprehend has in the accuracy of its detection of the MIXED sentiment.
sourcepub fn set_mixed(self, input: Option<f32>) -> Self
pub fn set_mixed(self, input: Option<f32>) -> Self
The level of confidence that Amazon Comprehend has in the accuracy of its detection of the MIXED sentiment.
Examples found in repository?
src/json_deser.rs (lines 6870-6875)
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pub(crate) fn deser_structure_crate_model_sentiment_score<'a, I>(
tokens: &mut std::iter::Peekable<I>,
) -> Result<
Option<crate::model::SentimentScore>,
aws_smithy_json::deserialize::error::DeserializeError,
>
where
I: Iterator<
Item = Result<
aws_smithy_json::deserialize::Token<'a>,
aws_smithy_json::deserialize::error::DeserializeError,
>,
>,
{
match tokens.next().transpose()? {
Some(aws_smithy_json::deserialize::Token::ValueNull { .. }) => Ok(None),
Some(aws_smithy_json::deserialize::Token::StartObject { .. }) => {
#[allow(unused_mut)]
let mut builder = crate::model::sentiment_score::Builder::default();
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() {
"Positive" => {
builder = builder.set_positive(
aws_smithy_json::deserialize::token::expect_number_or_null(
tokens.next(),
)?
.map(|v| v.to_f32_lossy()),
);
}
"Negative" => {
builder = builder.set_negative(
aws_smithy_json::deserialize::token::expect_number_or_null(
tokens.next(),
)?
.map(|v| v.to_f32_lossy()),
);
}
"Neutral" => {
builder = builder.set_neutral(
aws_smithy_json::deserialize::token::expect_number_or_null(
tokens.next(),
)?
.map(|v| v.to_f32_lossy()),
);
}
"Mixed" => {
builder = builder.set_mixed(
aws_smithy_json::deserialize::token::expect_number_or_null(
tokens.next(),
)?
.map(|v| v.to_f32_lossy()),
);
}
_ => 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
)),
)
}
}
}
Ok(Some(builder.build()))
}
_ => Err(
aws_smithy_json::deserialize::error::DeserializeError::custom(
"expected start object or null",
),
),
}
}sourcepub fn build(self) -> SentimentScore
pub fn build(self) -> SentimentScore
Consumes the builder and constructs a SentimentScore.
Examples found in repository?
src/json_deser.rs (line 6890)
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pub(crate) fn deser_structure_crate_model_sentiment_score<'a, I>(
tokens: &mut std::iter::Peekable<I>,
) -> Result<
Option<crate::model::SentimentScore>,
aws_smithy_json::deserialize::error::DeserializeError,
>
where
I: Iterator<
Item = Result<
aws_smithy_json::deserialize::Token<'a>,
aws_smithy_json::deserialize::error::DeserializeError,
>,
>,
{
match tokens.next().transpose()? {
Some(aws_smithy_json::deserialize::Token::ValueNull { .. }) => Ok(None),
Some(aws_smithy_json::deserialize::Token::StartObject { .. }) => {
#[allow(unused_mut)]
let mut builder = crate::model::sentiment_score::Builder::default();
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() {
"Positive" => {
builder = builder.set_positive(
aws_smithy_json::deserialize::token::expect_number_or_null(
tokens.next(),
)?
.map(|v| v.to_f32_lossy()),
);
}
"Negative" => {
builder = builder.set_negative(
aws_smithy_json::deserialize::token::expect_number_or_null(
tokens.next(),
)?
.map(|v| v.to_f32_lossy()),
);
}
"Neutral" => {
builder = builder.set_neutral(
aws_smithy_json::deserialize::token::expect_number_or_null(
tokens.next(),
)?
.map(|v| v.to_f32_lossy()),
);
}
"Mixed" => {
builder = builder.set_mixed(
aws_smithy_json::deserialize::token::expect_number_or_null(
tokens.next(),
)?
.map(|v| v.to_f32_lossy()),
);
}
_ => 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
)),
)
}
}
}
Ok(Some(builder.build()))
}
_ => Err(
aws_smithy_json::deserialize::error::DeserializeError::custom(
"expected start object or null",
),
),
}
}