code: def update_label_to_zero_base(df):
      df["34"] = df["34"] - 1
      df = df.astype("float32")
      return df
  
file_path: BigDL/python/orca/tutorial/xshards/ionosphere.py
imports: from torch.nn import Linear
  from torch.nn import ReLU
  from torch.nn import Sigmoid
  from torch.nn import Module
  from torch.optim import SGD
  from torch.nn import BCELoss
  from torch.nn.init import kaiming_uniform_
  from torch.nn.init import xavier_uniform_
  import bigdl.orca.data.pandas
  from bigdl.orca import init_orca_context, stop_orca_context
  from bigdl.orca.learn.pytorch import Estimator
  from bigdl.orca.learn.metrics import Accuracy
  from bigdl.orca.data.transformer import StringIndexer
label_desc: Use image node_id 1 for calling a global function with example usage: update_label_to_zero_base(df) and returns: df