docs: def discretize(self, method, *args, **kwargs):
          """
          Discretizes the continuous distribution into discrete
          probability masses using various methods.
  
          Parameters
          ----------
          method : A Discretizer Class from pgmpy.discretize
  
          *args, **kwargs:
              The parameters to be given to the Discretizer Class.
  
          Returns
          -------
          An n-D array or a DiscreteFactor object according to the discretiztion
          method used.
  
          Examples
          --------
          >>> import numpy as np
          >>> from scipy.special import beta
          >>> from pgmpy.factors.continuous import ContinuousFactor
          >>> from pgmpy.factors.continuous import RoundingDiscretizer
          >>> def dirichlet_pdf(x, y):
          ...     return (np.power(x, 1) * np.power(y, 2)) / beta(x, y)
          >>> dirichlet_factor = ContinuousFactor(['x', 'y'], dirichlet_pdf)
          >>> dirichlet_factor.discretize(RoundingDiscretizer, low=1, high=2, cardinality=5)
          # TODO: finish this
          """
          return method(self, *args, **kwargs).get_discrete_values()