code: def read_for_predict(self, x):
      if isinstance(x, str):
          x = pd.read_csv(x)
          if self._target_col_name in x:
              x.pop(self._target_col_name)
      return x
  
imports: import pathlib
  from typing import Dict
  from typing import List
  from typing import Optional
  from typing import Type
  from typing import Union
  import pandas
  import tensorflow
  from tensorflow import nest
  from autokeras import auto_model
  from autokeras import blocks
  from autokeras import nodes
  from autokeras.engine import tuner
  from autokeras.tuners import task_specific
  from autokeras.utils import types
label_desc: Use image node_id 5 for calling the BaseStructuredDataPipeline obj's underlying member method code with example usage: obj.read_for_predict(x) and returns: x