class_docstr: univariate time series model for estimation with maximum likelihood
  
  Note: This is not working yet
docstr: estimate model by minimizing negative loglikelihood
  
  does this need to be overwritten ?
docstr_tok: ["estimate","model","by","minimizing","negative","loglikelihood","does","this","need","to","be","overwritten","?"]
code: def fit(
      self, start_params=None, maxiter=5000, method="fmin", tol=1e-08
  ):
      """estimate model by minimizing negative loglikelihood
  
      does this need to be overwritten ?
      """
      if start_params is None and hasattr(self, "_start_params"):
          start_params = self._start_params
      # start_params = np.concatenate((0.05*np.ones(self.nar + self.nma), [1]))
      mlefit = super().fit(
          start_params=start_params,
          maxiter=maxiter,
          method=method,
          tol=tol,
      )
      return mlefit
  
file_path: statsmodels/statsmodels/tsa/mlemodel.py
imports: from statsmodels.base.model import LikelihoodModel
label_desc: Use image node_id 6 for calling the TSMLEModel obj's underlying member method code with example usage: obj.fit(start_params, maxiter, method, tol) and returns: mlefit