[GLE-8861] change euclidean to l2;

Author: jue-yuan

gds/vector/distance.gsql

@@ -23,7 +23,7 @@ CREATE FUNCTION gds.vector.distance(list<double> list1, list<double> list2, stri
       string metric:
           The distance metric to use. Supported metrics are:
               "cosine": Cosine distance
-              "euclidean": Euclidean distance
+              "l2": Euclidean distance
               "ip": Inner product (dot product)
   Returns:
       float:
@@ -41,7 +41,7 @@ CREATE FUNCTION gds.vector.distance(list<double> list1, list<double> list2, stri
   Metric Handling:
       Cosine Distance:
           Calculated as 1 - (inner product of vectors) / (product of magnitudes).
-      Euclidean Distance:
+      L2 Distance:
           Computes the square root of the sum of squared differences between corresponding elements.
       Inner Product:
           Directly computes the dot product of the two vectors.
@@ -69,15 +69,15 @@ CREATE FUNCTION gds.vector.distance(list<double> list1, list<double> list2, stri
   CASE lower(metric)
     WHEN "cosine" THEN
       @@myResult = 1 - inner_product(@@myList1, @@myList2) / (sqrt(inner_product(@@myList1, @@myList1)) * sqrt(inner_product(@@myList2, @@myList2)));
-    WHEN "euclidean" THEN
+    WHEN "l2" THEN
       FOREACH i IN [0, @@myList1.size() - 1 ] DO
         @@sqrSum += (@@myList1.get(i) - @@myList2.get(i)) * (@@myList1.get(i) - @@myList2.get(i));
       END;
       @@myResult = sqrt(@@sqrSum);
     WHEN "ip" THEN
       @@myResult = inner_product(@@myList1, @@myList2);
     ELSE
-      RAISE invalid_metric_type ("Invalid metric algorithm provided, currently supported: cosine, euclidean and ip.");
+      RAISE invalid_metric_type ("Invalid metric algorithm provided, currently supported: cosine, l2 and ip.");
     END
   ;
 

gds/vector/ip_distance.gsql

@@ -51,7 +51,7 @@ CREATE FUNCTION gds.vector.ip_distance(list<double> list1, list<double> list2) R
   ListAccum<double> @@myList2 = list2;
 
   IF (@@myList1.size() != @@myList2.size()) THEN
-    RAISE list_size_mismatch ("Two lists provided for gds.vector.euclidean_distance have different sizes.");
+    RAISE list_size_mismatch ("Two lists provided for gds.vector.ip_distance have different sizes.");
   END;
 
   RETURN inner_product(@@myList1, @@myList2);

gds/vector/euclidean_distance.gsql renamed to gds/vector/l2_distance.gsql

@@ -1,4 +1,4 @@
-CREATE FUNCTION gds.vector.euclidean_distance(list<double> list1, list<double> list2) RETURNS(float) {
+CREATE FUNCTION gds.vector.l2_distance(list<double> list1, list<double> list2) RETURNS(float) {
 
   /*
   First Author: Jue Yuan
@@ -50,7 +50,7 @@ CREATE FUNCTION gds.vector.euclidean_distance(list<double> list1, list<double> l
   ListAccum<double> @@myList2 = list2;
 
   IF (@@myList1.size() != @@myList2.size()) THEN
-    RAISE list_size_mismatch ("Two lists provided for gds.vector.euclidean_distance have different sizes.");
+    RAISE list_size_mismatch ("Two lists provided for gds.vector.l2_distance have different sizes.");
   END;
 
   SumAccum<float> @@sqrSum;

gds/vector/norm.gsql

@@ -20,7 +20,7 @@ CREATE FUNCTION gds.vector.norm(list<double> list1, string metric) RETURNS(float
           The input vector as a list of double values.
       string metric:
           The norm metric to apply. Supported metrics are:
-              "euclidean": Euclidean norm (L2 norm).
+              "l2": Euclidean norm (L2 norm).
               "ip": Inner product norm (dot product with the zero vector).
 
   Returns:
@@ -63,15 +63,15 @@ CREATE FUNCTION gds.vector.norm(list<double> list1, string metric) RETURNS(float
   SumAccum<float> @@sqrSum;
 
   CASE lower(metric)
-    WHEN "euclidean" THEN
+    WHEN "l2" THEN
       FOREACH i IN [0, @@myList1.size() - 1 ] DO
         @@sqrSum += (@@myList1.get(i) - @@myList2.get(i)) * (@@myList1.get(i) - @@myList2.get(i));
       END;
       @@myResult = sqrt(@@sqrSum);
     WHEN "ip" THEN
       @@myResult = inner_product(@@myList1, @@myList2);
     ELSE
-      RAISE invalid_metric_type ("Invalid metric algorithm provided, currently supported: euclidean and ip.");
+      RAISE invalid_metric_type ("Invalid metric algorithm provided, currently supported: l2 and ip.");
     END
   ;