A glance of a prophet provides the residual's standard deviation (sigma), and a tibble containing the selected changepoints with their trend adjustments.
# S3 method for fbl_prophet glance(x, ...)
x | model or other R object to convert to single-row data frame |
---|---|
... | other arguments passed to methods |
A one row tibble summarising the model's fit.
# \donttest{ if (requireNamespace("tsibbledata")) { library(tsibble) library(dplyr) fit <- tsibbledata::aus_production %>% model( prophet = prophet(Beer ~ season("year", 4, type = "multiplicative")) ) glance(fit) }#> #>#>#> #>#>#> #>#> # A tibble: 1 x 3 #> .model sigma changepoints #> <chr> <dbl> <list> #> 1 prophet 14.5 <tibble [25 × 2]># }