Update supervised.rst

The verbose (and almost all other parameters) need to be passed to the constructor and not the .fit() function. This was not refelcted in the example snipplets for LMNN in the docs.
scikit-learn-contrib · Jul 26, 2024 · de354d8 · de354d8
1 parent b3044a8
commit de354d8
Showing 1 changed file with 2 additions and 2 deletions.
diff --git a/doc/supervised.rst b/doc/supervised.rst
@@ -164,8 +164,8 @@ indicates :math:`\mathbf{x}_{i}, \mathbf{x}_{j}` belong to different classes,
     X = iris_data['data']
     Y = iris_data['target']
 
-    lmnn = LMNN(n_neighbors=5, learn_rate=1e-6)
-    lmnn.fit(X, Y, verbose=False)
+    lmnn = LMNN(n_neighbors=5, learn_rate=1e-6, verbose=False)
+    lmnn.fit(X, Y)
 
 .. rubric:: References