Struct SemanticSimilarityMetricScore 

#[non_exhaustive]
pub struct SemanticSimilarityMetricScore {
    pub score: f64,
}

Available on crate feature experimental only.

The scoring metric used for SemanticSimilarityMetric.

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.

score: f64

Trait Implementations

impl Clone for SemanticSimilarityMetricScore

fn clone(&self) -> SemanticSimilarityMetricScore

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for SemanticSimilarityMetricScore

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for SemanticSimilarityMetricScore

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl<E> Eval<SemanticSimilarityMetricScore> for SemanticSimilarityMetric<E>

where E: EmbeddingModel + 'static,

async fn eval( &self, input: String, ) -> EvalOutcome<SemanticSimilarityMetricScore>

fn eval_batch( &self, input: Vec<String>, concurrency_limit: usize, ) -> impl Future<Output = Vec<EvalOutcome<Output>>> + Send

Send a bunch of inputs to be evaluated all in one call. You can set the concurrency limit to help alleviate issues with model provider API limits, as sending requests too quickly may result in throttling or temporary request refusal.

impl Serialize for SemanticSimilarityMetricScore

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.