remove ucb log validator

xopt/generators/bayesian/upper_confidence_bound.py

@@ -34,19 +34,12 @@ class UpperConfidenceBoundGenerator(BayesianGenerator):
     def validate_vocs_without_constraints(cls, v):
         if v.constraints:
             warnings.warn(
-                f"Using {cls.__name__} with constraints may lead to numerical issues if the base acquisition "
-                f"function has negative values."
+                f"Using {cls.__name__} with constraints will lead to invalid values "
+                f"if the base acquisition function has negative values. Use with "
+                f"caution."
             )
         return v
 
-    @field_validator("log_transform_acquisition_function")
-    def validate_log_transform_acquisition_function(cls, v):
-        if v:
-            raise ValueError(
-                "Log transform cannot be applied to potentially negative UCB "
-                "acquisition function."
-            )
-
     def _get_acquisition(self, model):
         objective = self._get_objective()
         if self.n_candidates > 1 or isinstance(objective, CustomXoptObjective):

xopt/tests/generators/bayesian/test_mobo.py

@@ -236,7 +236,6 @@ def test_log_mobo(self):
         gen = MOBOGenerator(
             vocs=tnk_vocs,
             reference_point=reference_point,
-            log_transform_acquisition_function=True,
         )
         gen = deepcopy(gen)
         gen.n_monte_carlo_samples = 20