clip(*bounds)

src/mfpbench/pd1/benchmark.py

@@ -202,7 +202,7 @@ def _results_for(
         for metric, surrogate in self.surrogates.items():
             # We clip as sometimes the surrogate produces negative values
             bounds = self.Result.metric_defs[metric].bounds
-            xs[metric] = surrogate.predict(xs[features]).clip(min=0, max=(bounds[1]))
+            xs[metric] = surrogate.predict(xs[features]).clip(*bounds)
 
         metrics = list(self.surrogates.keys())
         return [dict(r[metrics]) for _, r in xs.iterrows()]