def fit(self, start_params=None, trend='c', method="css-mle",
            transparams=True, solver='lbfgs', maxiter=50, full_output=1,
            disp=5, callback=None, **kwargs):
        mlefit = super(ARIMA, self).fit(start_params, trend,
                                           method, transparams, solver,
                                           maxiter, full_output, disp,
                                           callback, **kwargs)
        normalized_cov_params = None  # TODO: fix this?
        arima_fit = ARIMAResults(self, mlefit._results.params,
                                 normalized_cov_params)
        arima_fit.k_diff = self.k_diff

        arima_fit.mle_retvals = mlefit.mle_retvals
        arima_fit.mle_settings = mlefit.mle_settings

        return ARIMAResultsWrapper(arima_fit)
Set the aliases for this option parser.
dataset/ETHPy150Open statsmodels/statsmodels/statsmodels/tsa/arima_model.py/ARIMA.fit--crossover with--dataset/ETHPy150Open azoft-dev-team/imagrium/env/Lib/distutils/fancy_getopt.py/FancyGetopt.set_aliases