class_docstr: Base class for a DS method based on the potential function model.
  All DS methods based on the Potential function should inherit from this
  class.
  
  Warning: This class should not be used directly.
  Use derived classes instead.
docstr: Check if the input parameters for potential function based methods are
  correct.
code: def _validate_parameters(self):
      """
      Check if the input parameters for potential function based methods are
      correct.
      """
      if self.knn_classifier == "knne":
          raise ValueError(
              "Error, this class does not support the KNN-Equality method"
          )
      super(BaseProbabilistic, self)._validate_parameters()
  
file_path: DESlib/deslib/des/probabilistic/base.py
imports: from abc import abstractmethod, ABCMeta
  import numpy
  from deslib.des.base import BaseDES
label_desc: Use image node_id 3 for calling the BaseProbabilistic obj's underlying member method code with example usage: obj._validate_parameters() without return types