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# scikits.statsmodels.discretemod.Poisson.fit

`Poisson.``fit`(start_params=None, maxiter=35, method='newton', tol=1e-008)

  Fits the Poisson model.

  Parameters: | start_params : array-like, optional The default is a 0 vector. maxiter : int, optional Maximum number of iterations. The default is 35. method : str, optional method can be ‘newton’, ‘ncg’, ‘bfgs’. The default is ‘newton’. tol : float, optional The convergence tolerance for the solver. The default is 1e-08.
  Returns: | DiscreteResults object :

  See also

  `scikits.statsmodels.model.LikelihoodModel`, `scikits.statsmodels.sandbox.discretemod.DiscreteResults`, `scipy.optimize`

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