def create_figure(self, mcmc_sample, state: str):
pred_dates = [i for i in range(len(self.data['Y']) + 8)]
# pred_dates = np.linspace(0, len(self.data['Y']) + 3, 100)
mcmc_tools.plot_ssm(mcmc_sample, pred_dates,
'season and trend model (L=8)'
'model', 'Y', state)
def create_figure(self, mcmc_sample):
pred_dates = [i for i in range(len(self.data['Y']) + 3)]
# pred_dates = np.linspace(0, len(self.data['Y']) + 3, 100)
mcmc_tools.plot_ssm(mcmc_sample, pred_dates, 'local level '
'model', 'Y', 'mu_pred')
def create_figure(self, mcmc_sample, state: str):
# pred_dates = [i for i in range(len(self.data['Y']) + 4)]
pred_dates = [i for i in range(len(self.data['Y']))]
mcmc_tools.plot_ssm(mcmc_sample, pred_dates,
'detection about changing point'
'model', 'Y', state)
def create_figure(self, mcmc_sample, state: str):
# pred_dates = [i for i in range(len(self.data['Y']) + 4)]
pred_dates = [i for i in range(len(self.data['Y']))]
mcmc_tools.plot_ssm(mcmc_sample, pred_dates, 'markov model', 'Y', state)