Update Mimic4Dataset.py
Browse files- Mimic4Dataset.py +6 -9
Mimic4Dataset.py
CHANGED
@@ -201,7 +201,6 @@ def vocab(task,diag_flag,proc_flag,out_flag,chart_flag,med_flag,lab_flag):
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return ethVocabDict,genderVocabDict,ageVocabDict,insVocabDict
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def concat_data(data,task,feat_cond,feat_proc,feat_out,feat_chart,feat_meds):
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print(feat_proc)
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meds=data['Med']
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proc = data['Proc']
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out = data['Out']
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@@ -430,7 +429,7 @@ def generate_split(path,task,concat,feat_cond,feat_chart,feat_proc, feat_meds, f
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for _, data in tqdm(df.iterrows(),desc='Encoding Splits Data for '+task+' task'):
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concat_cols=[]
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sample=data
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dyn_df,cond_df,demo=concat_data(sample,taskf,feat_cond,feat_chart,
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dyn=dyn_df.copy()
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dyn.columns=dyn.columns.droplevel(0)
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cols=dyn.columns
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@@ -687,7 +686,10 @@ class Mimic4Dataset(datasets.GeneratorBasedBuilder):
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self.conf='./config/'+file_path.split('/')[-1]
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if not os.path.exists(self.conf):
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shutil.move(file_path,'./config')
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#####################downloads modules from hub
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if not os.path.exists('./model/data_generation_icu_modify.py'):
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file_path, head = urlretrieve(_DATA_GEN, "data_generation_icu_modify.py")
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@@ -979,13 +981,8 @@ class Mimic4Dataset(datasets.GeneratorBasedBuilder):
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#############################################################################################################################
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def _info(self):
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self.path = self.create_cohort()
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with open(self.conf) as f:
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config = yaml.safe_load(f)
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self.feat_cond, self.feat_chart, self.feat_proc, self.feat_meds, self.feat_out = config['diagnosis'], config['chart'], config['proc'], config['meds'], config['output']
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if self.encoding == 'onehot' :
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return self._info_encoded()
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return ethVocabDict,genderVocabDict,ageVocabDict,insVocabDict
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def concat_data(data,task,feat_cond,feat_proc,feat_out,feat_chart,feat_meds):
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meds=data['Med']
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proc = data['Proc']
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out = data['Out']
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for _, data in tqdm(df.iterrows(),desc='Encoding Splits Data for '+task+' task'):
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concat_cols=[]
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sample=data
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dyn_df,cond_df,demo=concat_data(sample,taskf,feat_cond,feat_proc,feat_out,feat_chart,feat_meds)
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dyn=dyn_df.copy()
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dyn.columns=dyn.columns.droplevel(0)
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cols=dyn.columns
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self.conf='./config/'+file_path.split('/')[-1]
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if not os.path.exists(self.conf):
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shutil.move(file_path,'./config')
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with open(self.conf) as f:
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config = yaml.safe_load(f)
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self.feat_cond, self.feat_chart, self.feat_proc, self.feat_meds, self.feat_out = config['diagnosis'], config['chart'], config['proc'], config['meds'], config['output']
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+
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#####################downloads modules from hub
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if not os.path.exists('./model/data_generation_icu_modify.py'):
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file_path, head = urlretrieve(_DATA_GEN, "data_generation_icu_modify.py")
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#############################################################################################################################
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def _info(self):
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self.path = self.create_cohort()
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+
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if self.encoding == 'onehot' :
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return self._info_encoded()
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