code: def __init__(
      self, *args, parameters: Optional[Dict[str, Any]] = None, **kwargs
  ):
      self._parameters = parameters
      super().__init__(*args, **kwargs)
  
file_path: lightning-flash/src/flash/tabular/input.py
imports: from io import StringIO
  from typing import Any, Dict, List, Optional, Union
  import numpy
  from flash.core.data.io.input import DataKeys, Input, ServeInput
  from flash.core.utilities.imports import _PANDAS_AVAILABLE
  from flash.tabular.classification.utils import _compute_normalization, _generate_codes, _pre_transform, _to_cat_vars_numpy, _to_num_vars_numpy
label_desc: Use image node_id 1 to create a new TabularDeserializer object from inherited base classes: ServeInput with example: obj = TabularDeserializer()