Update LocalScoreFunctionClass to fix issue calling local_score_BIC_from_cov

causallearn/score/LocalScoreFunctionClass.py

@@ -29,7 +29,7 @@ def __init__(
         self.parameters = parameters
         self.score_cache = {}
 
-        if self.local_score_fun == local_score_BIC_from_cov:
+        if self.local_score_fun.__name__ == 'local_score_BIC_from_cov':
             self.cov = np.cov(self.data.T)
             self.n = self.data.shape[0]
 
@@ -40,15 +40,15 @@ def score(self, i: int, PAi: List[int]) -> float:
         hash_key = tuple(sorted(PAi))
 
         if not self.score_cache[i].__contains__(hash_key):
-            if self.local_score_fun == local_score_BIC_from_cov:
+            if self.local_score_fun.__name__ == 'local_score_BIC_from_cov':
                 self.score_cache[i][hash_key] = self.local_score_fun((self.cov, self.n), i, PAi, self.parameters)
             else:
                 self.score_cache[i][hash_key] = self.local_score_fun(self.data, i, PAi, self.parameters)
 
         return self.score_cache[i][hash_key]
 
     def score_nocache(self, i: int, PAi: List[int]) -> float:
-        if self.local_score_fun == local_score_BIC_from_cov:
+        if self.local_score_fun.__name__ == 'local_score_BIC_from_cov':
             return self.local_score_fun((self.cov, self.n), i, PAi, self.parameters)
         else:
-            return self.local_score_fun(self.data, i, PAi, self.parameters)
+            return self.local_score_fun(self.data, i, PAi, self.parameters)

causallearn/search/PermutationBased/BOSS.py

@@ -23,7 +23,7 @@
 
 def boss(
     X: np.ndarray,
-    score_func: str = "local_score_BIC",
+    score_func: str = "local_score_BIC_from_cov",
     parameters: Optional[Dict[str, Any]] = None,
     verbose: Optional[bool] = True,
     node_names: Optional[List[str]] = None,