FIX: fix error message for SDML

Author: William de Vazelhes

metric_learn/sdml.py

@@ -88,7 +88,7 @@ def _fit(self, pairs, y):
                     "positive semi-definite (PSD). The algorithm may diverge, "
                     "and lead to degenerate solutions. "
                     "To prevent that, try to decrease the balance parameter "
-                    "`balance_param` and/or to set use_covariance=False.",
+                    "`balance_param` and/or to set use_cov=False.",
                     ConvergenceWarning)
       w -= min_eigval  # we translate the eigenvalues to make them all positive
     w += 1e-10  # we add a small offset to avoid definiteness problems

test/metric_learn_test.py

@@ -295,7 +295,7 @@ def test_sdml_raises_warning_non_psd(self):
            "positive semi-definite (PSD). The algorithm may diverge, "
            "and lead to degenerate solutions. "
            "To prevent that, try to decrease the balance parameter "
-           "`balance_param` and/or to set use_covariance=False.")
+           "`balance_param` and/or to set use_cov=False.")
     with pytest.warns(ConvergenceWarning) as raised_warning:
       try:
         sdml.fit(pairs, y)