code: def n_cont_features(self):
      return (
          len(self.cont_feat_origin)
          if self.encoders is not None
          else None
      )
  
file_path: autogluon/tabular/src/autogluon/tabular/models/tab_transformer/utils.py
imports: import logging
  import torch
  from torch.utils.data import DataLoader, Dataset
  from .None import tab_transformer_encoder
  from .tab_transformer_encoder import NullEnc, WontEncodeError
label_desc: Use image node_id 2 for calling the TabTransformerDataset obj's underlying member method code with example usage: obj.n_cont_features() and returns: unknown