minor bug fix on schema matching

Author: Teris45

pyproject.toml

@@ -6,7 +6,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "pyjedai"
-version = "0.2.9"
+version = "0.3.0"
 description = "An open-source library that builds powerful end-to-end Entity Resolution workflows."
 readme = "README.md"
 authors = [

src/pyjedai/schema/matching.py

@@ -71,9 +71,9 @@ def __init__(self):
 
     @staticmethod
     def coma_matcher(max_n: int = 0,
-                     strategy: str = "COMA_OPT"
+                     use_instances: bool = False
                      ) -> Coma:
-        return Coma(max_n, strategy)
+        return Coma(max_n, use_instances)
 
     @staticmethod
     def cupid_matcher(w_struct: float = 0.2,

src/pyjedai/schema/schema_model.py

@@ -33,9 +33,9 @@ def __init__(
         if matching_type == 'CONTENT':
             dataset_1, dataset_2, ground_truth = self.load_content(dataset_1, dataset_2, ground_truth, skip_ground_truth_processing)
         elif matching_type == 'COMPOSITE': 
-            dataset_1, dataset_2, ground_truth = self.load_composite(dataset_1, dataset_2)
+            dataset_1, dataset_2, ground_truth = self.load_composite(dataset_1, dataset_2, ground_truth, skip_ground_truth_processing)
         else:
-            dataset_1, dataset_2, ground_truth = self.load_schema(dataset_1, dataset_2, ground_truth) 
+            dataset_1, dataset_2, ground_truth = self.load_schema(dataset_1, dataset_2, ground_truth, skip_ground_truth_processing) 
 
         super().__init__(dataset_1 = dataset_1, 
                     id_column_name_1 = 'id',
@@ -95,9 +95,6 @@ def load_content(self,
             ground_truth = pd.merge(ground_truth, dataset_2_columns, on='target', how='left')
             ground_truth = ground_truth.drop(columns=['source', 'target'])
 
-        self.dataset_1 = dataset_1
-        self.dataset_2 = dataset_2
-        self.ground_truth = ground_truth      
         return dataset_1, dataset_2, ground_truth
 
     def load_composite(self,