pub enum Distance {
Cosine,
Euclidean,
DotProduct,
}Expand description
Supported distance metrics for similarity computation
Variants§
Cosine
Cosine similarity (1 - cos(θ)) Vectors should be normalized for best performance Lower score = more similar
Euclidean
Euclidean distance (L2 norm) Lower score = more similar
DotProduct
Dot product (inner product) Higher score = more similar (negated internally for min-heap)
Implementations§
Trait Implementations§
Source§impl<'de> Deserialize<'de> for Distance
impl<'de> Deserialize<'de> for Distance
Source§fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>where
__D: Deserializer<'de>,
fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>where
__D: Deserializer<'de>,
Deserialize this value from the given Serde deserializer. Read more
impl Copy for Distance
impl Eq for Distance
impl StructuralPartialEq for Distance
Auto Trait Implementations§
impl Freeze for Distance
impl RefUnwindSafe for Distance
impl Send for Distance
impl Sync for Distance
impl Unpin for Distance
impl UnwindSafe for Distance
Blanket Implementations§
Source§impl<T> BorrowMut<T> for Twhere
T: ?Sized,
impl<T> BorrowMut<T> for Twhere
T: ?Sized,
Source§fn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more
Source§impl<T> CloneToUninit for Twhere
T: Clone,
impl<T> CloneToUninit for Twhere
T: Clone,
Source§impl<T> IntoEither for T
impl<T> IntoEither for T
Source§fn into_either(self, into_left: bool) -> Either<Self, Self>
fn into_either(self, into_left: bool) -> Either<Self, Self>
Converts
self into a Left variant of Either<Self, Self>
if into_left is true.
Converts self into a Right variant of Either<Self, Self>
otherwise. Read moreSource§fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>
fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>
Converts
self into a Left variant of Either<Self, Self>
if into_left(&self) returns true.
Converts self into a Right variant of Either<Self, Self>
otherwise. Read more