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Draw plot of test error for given models
gg_loss(
mod_list,
y,
type = c("mse", "mae", "mape", "mase"),
mean_line = FALSE,
line_param = list(),
mean_param = list(),
viridis = FALSE,
viridis_option = "D",
NROW = NULL,
NCOL = NULL,
...
)A ggplot object
Lists of forecast results (predbvhar objects)
Test data to be compared. should be the same format with the train data and predict$forecast.
Loss function to be used (mse: MSE, mae: MAE, mape: MAPE, mase: MASE)
Whether to draw average loss. By default, FALSE.
Parameter lists for ggplot2::geom_path().
Parameter lists for average loss with ggplot2::geom_hline().
If TRUE, scale CI and forecast line using ggplot2::scale_fill_viridis_d() and ggplot2::scale_colour_viridis_d, respectively.
Option for viridis string. See option of ggplot2::scale_colour_viridis_d. Choose one of c("A", "B", "C", "D", "E"). By default, D.
nrow of ggplot2::facet_wrap()
ncol of ggplot2::facet_wrap()
Additional options for geom_loss (inherit.aes and show.legend)
mse() to compute MSE for given forecast result
mae() to compute MAE for given forecast result
mape() to compute MAPE for given forecast result
mase() to compute MASE for given forecast result