def _F_LabelCount():
if os.path.exists(data_path + "data/_F_d_label_count.feather"):
df = feather.read_dataframe(data_path +
"data/_F_d_label_count.feather")
return df
temp = pd.DataFrame()
temp[pri_id] = pd.concat((_train[pri_id], _test[pri_id]))
# trans_type1
temp = temp.merge(_F.DangerousLabel(trans_info, pri_id, 'trans_type1',
'ced62357ad496957', 0.8),
on=pri_id,
how='left')
# trans_type2
temp = temp.merge(_F.DangerousLabel(trans_info, pri_id, 'trans_type2', 104,
0.8),
on=pri_id,
how='left')
# amt_src1
temp = temp.merge(_F.DangerousLabel(trans_info, pri_id, 'amt_src1',
'c4ec9622cf5c6e55', 0.8),
on=pri_id,
how='left')
# amt_src2
temp = temp.merge(_F.DangerousLabel(trans_info, pri_id, 'amt_src2',
'c4ec9622cf5c6e55', 0.8),
on=pri_id,
how='left')
feather.write_dataframe(temp, data_path + "data/_F_d_label_count.feather")
return temp
