fix: _update_params

bayesian-optimization · Jul 13, 2024 · b97646d · b97646d
1 parent 09b4010
commit b97646d
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Showing 2 changed files with 1 addition and 8 deletions.
diff --git a/bayes_opt/acquisition.py b/bayes_opt/acquisition.py
@@ -280,8 +280,7 @@ def _l_bfgs_b_minimize(
         # point technicalities this is not always the case.
         return np.clip(x_min, bounds[:, 0], bounds[:, 1]), min_acq
 
-    @abc.abstractmethod
-    def _update_params(self) -> None:
+    def _update_params(self) -> None:  # noqa: B027
         """Update the parameters of the acquisition function."""
 
 
@@ -816,8 +815,6 @@ def suggest(
 
         return x_max
 
-    def _update_params(self) -> None: ...
-
 
 class GPHedge(AcquisitionFunction):
     """GPHedge acquisition function.
@@ -933,5 +930,3 @@ def suggest(
         self.previous_candidates = np.array(x_max)
         idx = self._sample_idx_from_softmax_gains()
         return x_max[idx]
-
-    def _update_params(self) -> None: ...
diff --git a/tests/test_acquisition.py b/tests/test_acquisition.py
@@ -51,8 +51,6 @@ def mock_acq(x: np.ndarray):
     def base_acq(self, mean, std):
         pass
 
-    def _update_params(self) -> None: ...
-
 
 def test_base_acquisition():
     acq = acquisition.UpperConfidenceBound()