Update Mimic4Dataset.py

Mimic4Dataset.py

@@ -107,7 +107,7 @@ def vocab(task,diag_flag,proc_flag,out_flag,chart_flag,med_flag,lab_flag):
             with open ('./data/dict/'+task+'/'+file, 'rb') as fp:
                 labVocabDict = pickle.load(fp)
         
-        return len(condVocabDict),len(procVocabDict),len(medVocabDict),len(outVocabDict),len(chartVocabDict),len(labVocabDict),ethVocabDict,genderVocabDict,ageVocabDict,insVocabDict 
+        return ethVocabDict,genderVocabDict,ageVocabDict,insVocabDict 
 
 
 def concat_data(data,task,feat_cond=False,feat_proc=False,feat_out=False,feat_chart=False,feat_meds=False):
@@ -323,7 +323,7 @@ def getXY_deep(X_df,task,feat_cond,feat_chart,feat_proc, feat_meds, feat_out):
     y_df=torch.tensor(y_df)
     y_df=y_df.type(torch.LongTensor)
          
-    return meds,chart,out,proc,lab ,stat_df, demo_df, y_df  
+    return (meds,chart,out,proc,lab ,stat_df, demo_df, y_df ) 
 
 def getXY(dyn,stat,demo,concat_cols,concat):
     X_df=pd.DataFrame()