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-rw-r--r--src/embedders/vecmetric.rs22
1 files changed, 12 insertions, 10 deletions
diff --git a/src/embedders/vecmetric.rs b/src/embedders/vecmetric.rs
index 1bda3a8..9f2f143 100644
--- a/src/embedders/vecmetric.rs
+++ b/src/embedders/vecmetric.rs
@@ -4,29 +4,31 @@ use serde::{Deserialize, Serialize};
pub trait VecMetric: MetricElem + From<Vec<f32>> {}
#[derive(Deserialize, Serialize)]
-pub struct CosineSimilarity(pub Vec<f32>);
+pub struct AngularDistance(pub Vec<f32>);
#[derive(Deserialize, Serialize)]
pub struct EuclidianDistance(pub Vec<f32>);
#[derive(Deserialize, Serialize)]
pub struct ManhattenDistance(pub Vec<f32>);
-impl VecMetric for CosineSimilarity {}
+impl VecMetric for AngularDistance {}
impl VecMetric for EuclidianDistance {}
impl VecMetric for ManhattenDistance {}
-#[rustfmt::skip] impl From<Vec<f32>> for CosineSimilarity { fn from(value: Vec<f32>) -> Self { Self(value) } }
+#[rustfmt::skip] impl From<Vec<f32>> for AngularDistance { fn from(value: Vec<f32>) -> Self { Self(value) } }
#[rustfmt::skip] impl From<Vec<f32>> for EuclidianDistance { fn from(value: Vec<f32>) -> Self { Self(value) } }
#[rustfmt::skip] impl From<Vec<f32>> for ManhattenDistance { fn from(value: Vec<f32>) -> Self { Self(value) } }
-impl MetricElem for CosineSimilarity {
+impl MetricElem for AngularDistance {
fn dist(&self, other: &Self) -> f64 {
- let len_a = self.0.iter().map(|x| x.powi(2)).sum::<f32>().sqrt();
- let len_b = other.0.iter().map(|x| x.powi(2)).sum::<f32>().sqrt();
- self.0
+ let x = self
+ .0
.iter()
.zip(other.0.iter())
- .map(|(a, b)| (*a / len_a - *b / len_b).powi(2))
- .sum::<f32>()
- .sqrt() as f64
+ .map(|(a, b)| *a * *b)
+ .sum::<f32>();
+ let mag_a = self.0.iter().map(|x| x.powi(2)).sum::<f32>();
+ let mag_b = other.0.iter().map(|x| x.powi(2)).sum::<f32>();
+ let cossim = x / (mag_a * mag_b).sqrt();
+ cossim.acos() as f64
}
}
impl MetricElem for EuclidianDistance {