code: def __init__(self, copula_distribution, endog, k_params=None):
      self.copula_distribution = copula_distribution
      self.endog = endog
      self.exog = None
      if k_params is None:
          k_params = 1
      self.nparams = k_params
      self.k_copparams = 1
      super().__init__(endog, self.exog)
  
imports: import numpy
  from scipy import stats
  from numpy.testing import assert_allclose
  from statsmodels.base.model import GenericLikelihoodModel
  from statsmodels.distributions.copula.api import ClaytonCopula, GaussianCopula, FrankCopula, GumbelCopula, IndependenceCopula, CopulaDistribution
  from statsmodels.distributions.copula import depfunc_ev
  from statsmodels.distributions.copula.extreme_value import ExtremeValueCopula
label_desc: Use image node_id 1 to create a new CopulaModel object from inherited base classes: GenericLikelihoodModel with example: obj = CopulaModel(copula_distribution, endog, k_params)