code: def _get_start(self):
      start_fep = np.zeros(self.k_fep)
      start_vcp = np.ones(self.k_vcp)
      start_vc = np.random.normal(size=self.k_vc)
      start = np.concatenate((start_fep, start_vcp, start_vc))
      return start
  
imports: import numpy
  from scipy.optimize import minimize
  from scipy import sparse
  import statsmodels.base.model
  from statsmodels.iolib import summary2
  from statsmodels.genmod import families
  import pandas
  import warnings
  import patsy
label_desc: Use image node_id 5 for calling the _BayesMixedGLM obj's underlying member method code with example usage: obj._get_start() and returns: start