code: def setup_class(cls):
      cls.klass = GeneralizedPoisson
      mod1 = GeneralizedPoisson(endog, exog)
      res1 = mod1.fit(method="newton")
      cls.res1 = res1
      cls.res2 = resp.results_nb_docvis
      cls.pred_kwds_mean = {}
      cls.pred_kwds_6 = {}
      cls.k_infl = 0
      cls.rtol = 1e-8
  
imports: import warnings
  import numpy
  from numpy.testing import assert_allclose, assert_equal
  import pytest
  from statsmodels.tools.tools import add_constant
  from statsmodels.base._prediction_inference import PredictionResultsMonotonic
  from statsmodels.discrete.discrete_model import BinaryModel, Logit, Probit, Poisson, NegativeBinomial, NegativeBinomialP, GeneralizedPoisson
  from statsmodels.discrete.count_model import ZeroInflatedPoisson, ZeroInflatedNegativeBinomialP, ZeroInflatedGeneralizedPoisson
  from statsmodels.sandbox.regression.tests.test_gmm_poisson import DATA
  from .results import results_predict
label_desc: Use image node_id 1 for calling the TestGeneralizedPoissonPredict obj's underlying member method code with example usage: obj.setup_class(cls) without return types