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I'm experimenting with nixtla_client_forecast() and nixtla_client_plot(). When I'm using monthly data and try to visualize the forecast, I get an error:
dat <-
data.frame(
ds = seq.Date(from = as.Date("2018-01-01"), to = as.Date("2024-10-01"), by = "month"),
y = rnorm(n = 82, mean =3, sd = 1)*500000,
unique_id = rep("1",82)
)
nixtla_client_fcst <-
nixtla_client_forecast(df = dat,
h = 6,
level = c(95),
add_history = T)
This throws an error:
nixtla_client_plot(df = dat,
fcst = nixtla_client_fcst)
Error: Invalid input: time_trans works with objects of class POSIXct only
The text was updated successfully, but these errors were encountered:
Gchirinos1996
changed the title
Performance issue when trying to use 'level' or 'quantile'
Performance issue when trying to use nixtla_client_plot
Dec 18, 2024
I'm experimenting with nixtla_client_forecast() and nixtla_client_plot(). When I'm using monthly data and try to visualize the forecast, I get an error:
This throws an error:
The text was updated successfully, but these errors were encountered: