The library documents itself · Numeric & optimization
stzSimilarity
11 own methods · 0 forms written with extensions, listed under their method
the source: base/number/stzSimilarity.ring(opens in a new tab) · All classes · The area reference: Numeric & optimization
Under each method, its extensions (Q CS XT Z ZZ IB W U): bold and ticked, it exists; struck, it does not. The extensions and what they mean
Examples: 0 come from the library's tests; 6 were composed from each method's signature and run for this page, on a fresh object, for example o1 = new stzSimilarity(). 5 methods have none yet. Examples run on 2026-10-04 07:31 inside the library at commit 0e72e2e2c.
Method
Explanation, as the source carries it
init
initno extension
Cosine3
3d vector operationsalso written: CosineSimilarityno extension
Euclidean3
3d vector operationsalso written: EuclideanDistanceno extension
composed example
o1 = new stzSimilarity() ? o1.Euclidean3(1, 0, 0, 1, 1, 0) #--> 1composed from the signature, run for this page
Manhattan3
3d vector operationsalso written: ManhattanDistanceno extension
composed example
o1 = new stzSimilarity() ? o1.Manhattan3(1, 0, 0, 1, 1, 0) #--> 1composed from the signature, run for this page
DotProduct3
3d vector operationsno extension
composed example
o1 = new stzSimilarity() ? o1.DotProduct3(1, 0, 0, 1, 1, 0) #--> 1composed from the signature, run for this page
CosineFromLists
(no comment in the source: the name reads as a sentence) cosine from listsalso written: Cosinein the section list-based operationsno extension
(no comment in the source: the name reads as a sentence) euclidean from lists 1 examples runalso written: Euclideanin the section list-based operationsno extension
(no comment in the source: the name reads as a sentence) manhattan from lists 1 examples runalso written: Manhattanin the section list-based operationsno extension
composed example
o1 = new stzSimilarity() ? o1.ManhattanFromLists([ 3, 4 ], [ 2, 3 ]) #--> 2composed from the signature, run for this page
(no comment in the source: the name reads as a sentence) dot product from lists 1 examples runalso written: Dotin the section list-based operationsno extension
composed example
o1 = new stzSimilarity() ? o1.DotProductFromLists([ 3, 4 ], [ 2, 3 ]) #--> 18composed from the signature, run for this page
The length of a vector, which is what normalising divides by. 1 examples runno extension
composed example
o1 = new stzSimilarity() ? o1.MagnitudeOf([ 3, 4 ]) #--> 5composed from the signature, run for this page
The unit vector in the same direction. A zero vector has no direction, so it is returned unchanged rather than filled with NaN. 1 examples runno extension