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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def conf_int(self, alpha=0.05, **kwargs):
 r"""Returns the confidence interval of the fitted parameters. Returns ------- alpha : float, optional (default=0.05) The significance level for the confidence interval. ie., the default alpha = .05 returns a 95% confidence interval. **kwargs : keyword args or dict Keyword arguments to pass to the confidence interval function. Could include 'cols' or 'method' """

        return self.arima_res_.conf_int(alpha=alpha, **kwargs)