def loglikeobs(self, params, transformed=True, complex_step=False,
                   **kwargs):
        if not transformed:
            params = self.transform_params(params)

        # If we're using complex-step differentiation, then we can't use
        # Cholesky factorization
        if complex_step:
            kwargs['inversion_method'] = INVERT_UNIVARIATE | SOLVE_LU

        self.update(params, transformed=True, complex_step=complex_step)

        return self.ssm.loglikeobs(complex_step=complex_step, **kwargs)
Command-line entry point for running the view server.
dataset/ETHPy150Open statsmodels/statsmodels/statsmodels/tsa/statespace/mlemodel.py/MLEModel.loglikeobs--crossover with--dataset/ETHPy150Open djc/couchdb-python/couchdb/view.py/main