code: def scale(self, data):
      data_scale = torch.zeros(data.size(), dtype=torch.float64)
      for i in range(data.size()[1]):
          value_min = self.min_[i]
          value_scale = self.scale_[i]
          data_scale[:, i] = data[:, i] * value_scale + value_min
      return data_scale
  
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 2 for calling the ExportWithMinMaxScaler obj's underlying member method code with example usage: obj.scale(data) and returns: data_scale