code: def __post_init__(self):
      super(TabNetRegressor, self).__post_init__()
      self._task = "regression"
      self._default_loss = torch.nn.functional.mse_loss
      self._default_metric = "mse"
  
imports: import torch
  import numpy
  from scipy.special import softmax
  from pytorch_tabnet.utils import SparsePredictDataset, PredictDataset, filter_weights
  from pytorch_tabnet.abstract_model import TabModel
  from pytorch_tabnet.multiclass_utils import infer_output_dim, check_output_dim
  from torch.utils.data import DataLoader
  import scipy
label_desc: Use image node_id 1 for calling the TabNetRegressor obj's underlying member method code with example usage: obj.__post_init__() without return types