DOC update haversine distance formula (scikit-learn#26509)

neurodata · Jun 15, 2023 · b102391 · b102391
1 parent 547058f
commit b102391
Showing 1 changed file with 3 additions and 2 deletions.
diff --git a/sklearn/metrics/pairwise.py b/sklearn/metrics/pairwise.py
@@ -919,8 +919,9 @@ def haversine_distances(X, Y=None):
  in radians. The dimension of the data must be 2.
 
  .. math::
- D(x, y) = 2\\arcsin[\\sqrt{\\sin^2((x1 - y1) / 2)
- + \\cos(x1)\\cos(y1)\\sin^2((x2 - y2) / 2)}]
+ D(x, y) = 2\\arcsin[\\sqrt{\\sin^2((x_{lat} - y_{lat}) / 2)
+ + \\cos(x_{lat})\\cos(y_{lat})\\
+ sin^2((x_{lon} - y_{lon}) / 2)}]
 
  Parameters
  ----------