Fixed more test regarding rename of variable

Author: mvargas33

test/test_base_metric.py

@@ -36,12 +36,12 @@ def test_covariance(self):
                      remove_spaces(f"Covariance({merged_kwargs})"))
 
   def test_lmnn(self):
-    def_kwargs = {'convergence_tol': 0.001, 'init': 'auto', 'k': 3,
+    def_kwargs = {'convergence_tol': 0.001, 'init': 'auto', 'n_neighbors': 3,
                   'learn_rate': 1e-07, 'max_iter': 1000, 'min_iter': 50,
                   'n_components': None, 'preprocessor': None,
                   'random_state': None, 'regularization': 0.5,
                   'verbose': False}
-    nndef_kwargs = {'convergence_tol': 0.01, 'k': 6}
+    nndef_kwargs = {'convergence_tol': 0.01, 'n_neighbors': 6}
     merged_kwargs = sk_repr_kwargs(def_kwargs, nndef_kwargs)
     self.assertEqual(
         remove_spaces(str(metric_learn.LMNN(convergence_tol=0.01, n_neighbors=6))),

test/test_mahalanobis_mixin.py

@@ -417,7 +417,7 @@ def test_auto_init_transformation(n_samples, n_features, n_classes,
                           random_state=rng)
     # To make the test work for LMNN:
     if 'LMNN' in model_base.__class__.__name__:
-      model_base.set_params(k=1)
+      model_base.set_params(n_neighbors=1)
     # To make the test faster for estimators that have a max_iter:
     if hasattr(model_base, 'max_iter'):
       model_base.set_params(max_iter=1)