fix cosine similarity example

examples/ml/cosine_similarity.kg

@@ -21,16 +21,20 @@ dot::{+/x*y}
 mag::{(+/x*x)^0.5}
 
 :" cosine similarity of x and y "
-cossim::{dot(x;y)/mag(x)*mag(y)}
+cossim::{dot(x;y)%mag(x)*mag(y)}
 
 :" cosine distance "
 cd::{1-cossim(x;y)}
 
+a::[0.2242275924404239 0.882144226374053 0.9906177571863527 0.4108451091093793 0.9804472187642895 0.4060536401874264 0.3002237000518012 0.8514871407116807 0.6532517687913413 0.8627410006208077]
+b::[0.30545495121740496 0.3771115787379501 0.7078223604498113 0.019355013585787284 0.16809292508968254 0.20411410383993234 0.09404528697075443 0.8849676641314673 0.9028064826465457 0.8102216701662028]
+
+.d("test: ");.p(cd(a;b))
+
 a::{.rn()}'!1536
 b::{.rn()}'!1536
 
 r::10000
 t::time({{cd(a;b)}'!r})
 .d("time (s) per pass: ");.p(t%r)
 .d("iter per second: ");.p(1%(t%r))
-

examples/ml/cosine_similarity.py

@@ -0,0 +1,14 @@
+import math
+
+def cosine_distance(a, b):
+    dot_product = sum(ai * bi for ai, bi in zip(a, b))
+    magnitude_a = math.sqrt(sum(ai * ai for ai in a))
+    magnitude_b = math.sqrt(sum(bi * bi for bi in b))
+    cosine_similarity = dot_product / (magnitude_a * magnitude_b)
+    print(dot_product, magnitude_a, magnitude_b, cosine_similarity)
+    return 1 - cosine_similarity
+
+a = [0.2242275924404239, 0.882144226374053, 0.9906177571863527, 0.4108451091093793, 0.9804472187642895, 0.4060536401874264, 0.3002237000518012, 0.8514871407116807, 0.6532517687913413, 0.8627410006208077]
+b = [0.30545495121740496, 0.3771115787379501, 0.7078223604498113, 0.019355013585787284, 0.16809292508968254, 0.20411410383993234, 0.09404528697075443, 0.8849676641314673, 0.9028064826465457, 0.8102216701662028]
+
+print(cosine_distance(a,b))