fit.prophet: Fit the prophet model.
In prophet: Automatic Forecasting Procedure
Description
This sets m$params to contain the fitted model parameters. It is a list
with the following elements:
k (M array): M posterior samples of the initial slope.
m (M array): The initial intercept.
delta (MxN matrix): The slope change at each of N changepoints.
beta (MxK matrix): Coefficients for K seasonality features.
sigma_obs (M array): Noise level.
Note that M=1 if MAP estimation.
Usage
1
fit.prophet(m, df, ...)
Arguments
m
Prophet object.
df
Data frame.
...
Additional arguments passed to the optimizing or
sampling functions in Stan.
prophet documentation built on March 30, 2021, 5:05 p.m.
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Description
This sets m$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.
Usage
1 | fit.prophet(m, df, ...)
|
Arguments
m |
Prophet object. |
df |
Data frame. |
... |
Additional arguments passed to the |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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