code: def export_preprocessing(self, data):
      data[:, self.target_feature_index] = self.scale(
          data[:, self.target_feature_index]
      )
      data_roll = self.roll(
          data, self.lookback, self.id_index, self.target_feature_index
      )
      return data_roll
  
imports: import torch
  import torch.nn
  from typing import List
  from sklearn.preprocessing import StandardScaler, MaxAbsScaler, MinMaxScaler, RobustScaler
  from .utils import _to_list
label_desc: Use image node_id 8 for calling the ExportJIT obj's underlying member method code with example usage: obj.export_preprocessing(data) and returns: data_roll