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: Method used to estimate the source of competence at each data
  point.
  
  Each DS technique based on this paradigm should define its
  computation of C_src
  
  Returns
  ----------
  C_src : array of shape (n_samples, n_classifiers)
      The competence source for each base classifier at each data point.
code: def source_competence(self):
      """Method used to estimate the source of competence at each data
      point.
  
      Each DS technique based on this paradigm should define its
      computation of C_src
  
      Returns
      ----------
      C_src : array of shape (n_samples, n_classifiers)
          The competence source for each base classifier at each data point.
      """
      pass
  
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 7 for calling the BaseProbabilistic obj's underlying member method code with example usage: obj.source_competence() without return types