Fit the prophet model.
This sets m$params to contain the fitted model parameters. It is a list with the following elements: k (M array): M posterior samples of the initial slope. m (M array): The initial intercept. delta (MxN matrix): The slope change at each of N changepoints. beta (MxK matrix): Coefficients for K seasonality features. sigma_obs (M array): Noise level. Note that M=1 if MAP estimation.
fit.prophet(m, df, ...)
m |
Prophet object. |
df |
Data frame. |
... |
Additional arguments passed to the |
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