Update Mimic4Dataset.py

Mimic4Dataset.py

@@ -361,6 +361,11 @@ def generate_split_deep(path,task,feat_cond,feat_chart,feat_proc, feat_meds, fea
     taskf=task.replace(" ","_")
     for hid, data in tqdm(X.iterrows(),desc='Encoding Splits Data for '+task+' task'):
         stat, demo, meds, chart, out, proc, lab, y = getXY_deep(data, taskf, feat_cond, feat_proc, feat_out, feat_chart,feat_meds)
+        meds=np.nan_to_num(meds, copy=False)
+        chart=np.nan_to_num(chart, copy=False)
+        out=np.nan_to_num(out, copy=False)
+        proc=np.nan_to_num(proc, copy=False)
+        lab=np.nan_to_num(lab, copy=False)
         X_dict[hid] = {'stat': stat, 'demo': demo, 'meds': meds, 'chart': chart, 'out': out, 'proc': proc, 'lab': lab, 'y': y}
         
     return X_dict
@@ -742,8 +747,19 @@ class Mimic4Dataset(datasets.GeneratorBasedBuilder):
             yield i, row.to_dict()
 ######################################################DEEP###############################################################
     def _info_deep(self,X_encoded):
-        keys= list(set(key for item in X_encoded.values() for key in item.keys()))
-        features = datasets.Features({key: self.map_dtype(X_encoded[key].dtype) for key in keys})
+        features = datasets.Features(
+            {
+                "label": datasets.ClassLabel(num_classes=2,names=["0", "1"]),
+                "DEMO": datasets.Sequence(datasets.Value("int32")),
+                "COND" : datasets.Sequence(datasets.Sequence(datasets.Value("float32"))) ,
+                "MEDS" : datasets.Sequence(datasets.Sequence(datasets.Value("float32"))) ,
+                "PROC" : datasets.Sequence(datasets.Sequence(datasets.Value("float32"))) ,
+                "CHART" : datasets.Sequence(datasets.Sequence(datasets.Value("float32"))) ,
+                "OUT" : datasets.Sequence(datasets.Sequence(datasets.Value("float32"))) ,
+                "LAB" : datasets.Sequence(datasets.Sequence(datasets.Value("float32"))) ,
+                
+            }
+        )
         return datasets.DatasetInfo(
             description=_DESCRIPTION,
             features=features,
@@ -774,14 +790,14 @@ class Mimic4Dataset(datasets.GeneratorBasedBuilder):
                 lab=data['lab']
 
                 yield int(key), {
-                    'proc': proc_features,
-                    'chart': chart_features,
-                    'meds': meds_features,
-                    'out': out_features,
-                    'stat': cond_features,
-                    'demo': demo,
-                    'lab': lab,
-                    'y': label
+                    'label': label,
+                    'DEMO': demo,
+                    'COND': cond_features,
+                    'MEDS': meds_features,
+                    'PROC': proc_features,
+                    'CHART': chart_features,
+                    'OUT': out_features,
+                    'LAB': lab,
                     }
     
 #############################################################################################################################