Update Mimic4Dataset.py

Mimic4Dataset.py

@@ -246,14 +246,14 @@ class Mimic4Dataset(datasets.GeneratorBasedBuilder):
         self.config_path = kwargs.pop("config_path",None)
         self.test_size = kwargs.pop("test_size",0.2)
         self.val_size = kwargs.pop("val_size",0.1)
-        
-
-        self.feat_cond, self.feat_chart, self.feat_proc, self.feat_meds, self.feat_out,self.path = self.create_cohort()
         super().__init__(**kwargs)
+
+        self.feat_cond, self.feat_chart, self.feat_proc, self.feat_meds, self.feat_out,path = self.create_cohort()
+        
         if self.encoding:
-            X_train_encoded=generate_split(self.path+'/train_data.pkl',self.config.name,True,self.feat_cond, self.feat_chart, self.feat_proc, self.feat_meds, self.feat_out)
-            X_test_encoded=generate_split(self.path+'/test_data.pkl',self.config.name,True,self.feat_cond, self.feat_chart, self.feat_proc, self.feat_meds, self.feat_out)
-            X_val_encoded=generate_split(self.path+'/val_data.pkl',self.config.name,True,self.feat_cond, self.feat_chart, self.feat_proc, self.feat_meds, self.feat_out)
+            X_train_encoded=generate_split(path+'/train_data.pkl',self.config.name,True,self.feat_cond, self.feat_chart, self.feat_proc, self.feat_meds, self.feat_out)
+            X_test_encoded=generate_split(path+'/test_data.pkl',self.config.name,True,self.feat_cond, self.feat_chart, self.feat_proc, self.feat_meds, self.feat_out)
+            X_val_encoded=generate_split(path+'/val_data.pkl',self.config.name,True,self.feat_cond, self.feat_chart, self.feat_proc, self.feat_meds, self.feat_out)
             
             X_train_encoded.to_csv(self.path+"/X_train_encoded.csv", index=False)
             X_test_encoded.to_csv(self.path+"/X_test_encoded.csv", index=False)