prophet.py

prophet_model = Prophet(
    growth='linear',
    changepoints=None,
    n_changepoints=25,
    changepoint_range=0.8,
    yearly_seasonality=10,  # Fourier
    weekly_seasonality=3,  # Fourier
    daily_seasonality='auto',
    seasonality_mode='additive',
    seasonality_prior_scale=10.0,
    holidays_prior_scale=10.0,
    changepoint_prior_scale=0.05,
    mcmc_samples=0,
    interval_width=0.8,
    uncertainty_samples=1000,
    stan_backend=None)