class_docstr: Base Estimator class for both Stan and Pyro Estimator
  
  Parameters
  ----------
  seed : int
      seed number for initial random values
  verbose : bool
      If True (default), output all diagnostics messages from estimators
class_docstr_tok: ["Base","Estimator","class","for","both","Stan","and","Pyro","Estimator","Parameters","--","--","--","--","--","seed",":","int","seed","number","for","initial","random","values","verbose",":","bool","If","True","(","default",")",",","output","all","diagnostics","messages","from","estimators"]
code: def __init__(self, seed=8888, verbose=True):
      self.seed = seed
      self.verbose = verbose
  
      # set random state
      np.random.seed(self.seed)
  
imports: from abc import abstractmethod
  import numpy
label_desc: Use image node_id 1 to create a new BaseEstimator object  with example: obj = BaseEstimator(seed, verbose)