Time Series Forecasting, Bayesian Machine Learning.
dependent variable. Both elements must be sequential time series. ''' # first check if the iv = None, indicating this would be a univariate series if iv is None: x = None else: x = iv.values y = dv.values # set the one-step-ahead value; by default we want 1 k = 1 forecast_start = 0 forecast_end =