code: def plot_fit(self, **kwargs):
          
  
          import matplotlib.pyplot as plt
          import seaborn as sns
  
          figsize = kwargs.get('figsize',(10,7))
          plt.figure(figsize=figsize)
          date_index = self.index[self.ar:self.data.shape[0]]
          mu, Y = self._model(self.latent_variables.get_z_values())
          plt.plot(date_index,Y,label='Data')
          plt.plot(date_index,mu,label='Filter',c='black')
          plt.title(self.data_name)
          plt.legend(loc=2)   
          plt.show()
docs: Plots the fit of the model against the data