docstr: Skip the usual partial_fit call at the end. 
docstr_tok: ["Skip","the","usual","partial_fit","call","at","the","end","."]
code: def fit(self, train_data: EncodedDs, dev_data: EncodedDs) -> None:
      """Skip the usual partial_fit call at the end."""  # noqa
      self._fit(train_data, dev_data)
  
file_path: lightwood/lightwood/mixer/tabtransformer.py
imports: from typing import Dict, Optional
  import torch
  from tab_transformer_pytorch import TabTransformer
  from lightwood.helpers.device import get_device_from_name
  from lightwood.data.encoded_ds import EncodedDs
  from lightwood.encoder.base import BaseEncoder
  from lightwood.mixer.neural import Neural
label_desc: Use image node_id 4 for calling the TabTransformerMixer obj's underlying member method code with example usage: obj.fit(train_data, dev_data) without return types