code: def load_data(
      self,
      file: Optional[str],
      categorical_fields: Optional[Union[str, List[str]]] = None,
      numerical_fields: Optional[Union[str, List[str]]] = None,
      target_fields: Optional[Union[str, List[str]]] = None,
      parameters: Dict[str, Any] = None,
      target_formatter: Optional[TargetFormatter] = None,
  ):
      if file is not None:
          return super().load_data(
              load_data_frame(file),
              categorical_fields,
              numerical_fields,
              target_fields,
              parameters,
              target_formatter,
          )
      return None
  
imports: from typing import Any, Dict, List, Optional, Union
  from flash.core.data.io.classification_input import ClassificationInputMixin
  from flash.core.data.io.input import DataKeys
  from flash.core.data.utilities.classification import TargetFormatter
  from flash.core.data.utilities.data_frame import resolve_targets
  from flash.core.data.utilities.loading import load_data_frame
  from flash.core.utilities.imports import _PANDAS_AVAILABLE
  from flash.tabular.input import TabularDataFrameInput
label_desc: Use image node_id 1 for calling the TabularClassificationCSVInput obj's underlying member method code with example usage: obj.load_data(file, categorical_fields, numerical_fields, target_fields, parameters, target_formatter) and returns: None, super