Plots the fit of the model

        Returns
        ----------
        None (plots data and the fit)

def plot_fit(self,**kwargs):
        """ Plots the fit of the model

        Returns
        ----------
        None (plots data and the fit)
        """
        import matplotlib.pyplot as plt
        import seaborn as sns

        figsize = kwargs.get('figsize',(10,7))

        if self.latent_variables.estimated is False:
            raise Exception("No latent variables estimated!")
        else:
            date_index = self.index[self.lags:self.data[0].shape[0]]
            mu, Y = self._model(self.latent_variables.get_z_values())
            for series in range(0,Y.shape[0]):
                plt.figure(figsize=figsize)
                plt.plot(date_index,Y[series],label='Data ' + str(series))
                plt.plot(date_index,mu[series],label='Filter' + str(series),c='black')  
                plt.title(self.data_name[series])
                plt.legend(loc=2)   
            plt.show()