class_docstr: Base class for factors representing various multivariate
  representations.
docstr: Gives the ContinuousFactor operation (product or divide) with
  the other factor.
  
  Parameters
  ----------
  other: ContinuousFactor
      The ContinuousFactor to be multiplied.
  
  operation: String
      'product' for multiplication operation and 'divide' for
      division operation.
  
  inplace: boolean
      If inplace=True it will modify the factor itself, else would return
      a new factor.
  
  Returns
  -------
  ContinuousFactor or None:
                  if inplace=True (default) returns None
                  if inplace=False returns a new `DiscreteFactor` instance.
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code: def _operate(self, other, operation, inplace=True):
      """
      Gives the ContinuousFactor operation (product or divide) with
      the other factor.
  
      Parameters
      ----------
      other: ContinuousFactor
          The ContinuousFactor to be multiplied.
  
      operation: String
          'product' for multiplication operation and 'divide' for
          division operation.
  
      inplace: boolean
          If inplace=True it will modify the factor itself, else would return
          a new factor.
  
      Returns
      -------
      ContinuousFactor or None:
                      if inplace=True (default) returns None
                      if inplace=False returns a new `DiscreteFactor` instance.
  
      """
      if not isinstance(other, ContinuousFactor):
          raise TypeError(
              f"ContinuousFactor objects can only be multiplied ",
              f"or divided with another ContinuousFactor object. ",
              f"Got {type(other)}, expected: ContinuousFactor.",
          )
  
      phi = self if inplace else self.copy()
      phi.distribution = phi.distribution._operate(
          other=other.distribution, operation=operation, inplace=False
      )
  
      if not inplace:
          return phi
  
imports: import types
  import numpy
  import scipy.integrate
  from pgmpy.factors.base import BaseFactor
  from pgmpy.factors.distributions import GaussianDistribution, CustomDistribution
label_desc: Use image node_id 13 for calling the ContinuousFactor obj's underlying member method code with example usage: obj._operate(other, operation, inplace) and returns: phi