Update simple_cerebros_random_search.py

Refactor best metric error handling to allow +/- inf metrics (these actually will work in  current versions of pd.Series.min() / ....max() ), but still exclude other arbitrary types (str, Exception)...

Author: david-thrower

cerebros/simplecerebrosrandomsearch/simple_cerebros_random_search.py

@@ -573,7 +573,9 @@ def has_valid_metric(num):
             except Exception as exc:
                 print(exc)
                 return False
-        rows_having_a_valid_metric = oracles[self.metric_to_rank_by].apply(lambda x: has_valid_metric(x))
+        # ~ pd.to_numeric(x['a'], errors="coerce").astype(float).isna()
+        # rows_having_a_valid_metric = oracles[self.metric_to_rank_by].apply(lambda x: has_valid_metric(x))
+        rows_having_a_valid_metric = ~ pd.to_numeric(oracles[self.metric_to_rank_by], errors="coerce").isna()
         oracles_having_valid_metrics = oracles[rows_having_a_valid_metric]
 
         if self.direction == "maximize" or self.direction == "max":