code: def _input_check(self, name, value, options):
      if value not in options:
          raise ValueError(
              f"Wrong input: {name} parameter must be in {options}"
          )
  
imports: from pandas import DataFrame, Series, unique
  import numpy
  from rich.progress import track
  from sklearn.base import BaseEstimator, TransformerMixin
  from pytorch_tabular.utils import get_logger
label_desc: Use image node_id 4 for calling the BaseEncoder obj's underlying member method code with example usage: obj._input_check(name, value, options) without return types