code: def __init__(
      self, module, *args, criterion=torch.nn.MSELoss, **kwargs
  ):
      super(NeuralNetRegressor, self).__init__(
          module, *args, criterion=criterion, **kwargs
      )
  
file_path: skorch/skorch/regressor.py
imports: import re
  from sklearn.base import RegressorMixin
  import torch
  from torch.utils.data import DataLoader
  from skorch import NeuralNet
  from skorch.utils import get_dim
  from skorch.utils import is_dataset
label_desc: Use image node_id 1 to create a new NeuralNetRegressor object from inherited base classes: NeuralNet, RegressorMixin with example: obj = NeuralNetRegressor(module)