pub enum SimilarityMetric {
Cosine,
Euclidean,
Manhattan,
Correlation,
JensenShannon,
Learned,
}Expand description
Similarity metrics for dataset comparison
Variants§
Cosine
Cosine similarity between dataset statistics
Euclidean
Euclidean distance between features
Manhattan
Manhattan distance
Correlation
Pearson correlation
JensenShannon
Jensen-Shannon divergence
Learned
Learned similarity using neural networks
Trait Implementations§
Source§impl Clone for SimilarityMetric
impl Clone for SimilarityMetric
Source§fn clone(&self) -> SimilarityMetric
fn clone(&self) -> SimilarityMetric
Returns a duplicate of the value. Read more
1.0.0 · Source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
Performs copy-assignment from
source. Read moreAuto Trait Implementations§
impl Freeze for SimilarityMetric
impl RefUnwindSafe for SimilarityMetric
impl Send for SimilarityMetric
impl Sync for SimilarityMetric
impl Unpin for SimilarityMetric
impl UnwindSafe for SimilarityMetric
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