class_docstr: This is a temporary base model from ETS, here I just copy everything I need
  from statespace.mlemodel.MLEModel
class_docstr_tok: ["This","is","a","temporary","base","model","from","ETS",",","here","I","just","copy","everything","I","need","from","statespace.mlemodel.MLEModel"]
docstr: (array) Starting parameters for maximum likelihood estimation.
docstr_tok: ["(","array",")","Starting","parameters","for","maximum","likelihood","estimation","."]
code: def start_params(self):
      """
      (array) Starting parameters for maximum likelihood estimation.
      """
      if hasattr(self, "_start_params"):
          return self._start_params
      else:
          raise NotImplementedError
  
imports: from collections import OrderedDict
  import contextlib
  import warnings
  import numpy
  import pandas
  from scipy.stats import norm
  from statsmodels.base.data import PandasData
  from statsmodels.tools.decorators import cache_readonly
  from statsmodels.tools.eval_measures import aic, aicc, bic, hqic
  from statsmodels.tools.sm_exceptions import PrecisionWarning
  from statsmodels.tools.numdiff import _get_epsilon, approx_fprime, approx_fprime_cs, approx_hess_cs
  from statsmodels.tools.tools import pinv_extended
  import statsmodels.tsa.base.tsa_model
  from statsmodels.tsa.statespace.tools import _safe_cond
label_desc: Use image node_id 8 for calling the StateSpaceMLEModel obj's underlying member method code with example usage: obj.start_params() and returns: self