code: def partial_fit(
      self,
      train_data: EncodedDs,
      dev_data: EncodedDs,
      args: Optional[dict] = None,
  ) -> None:
      pass
  
file_path: lightwood/lightwood/mixer/unit.py
imports: from typing import List, Optional
  import torch
  import pandas
  from lightwood.helpers.log import log
  from lightwood.mixer.base import BaseMixer
  from lightwood.encoder.base import BaseEncoder
  from lightwood.data.encoded_ds import EncodedDs
  from lightwood.api.types import PredictionArguments
label_desc: Use image node_id 3 for calling the Unit obj's underlying member method code with example usage: obj.partial_fit(train_data, dev_data, args) without return types