plot.forecast_error: Plot forecast error

In forecastML: Time Series Forecasting with Machine Learning Methods

Description

Plot forecast error at various levels of aggregation.

Usage

## S3 method for class 'forecast_error'
plot(
  x,
  type = c("global"),
  metric = NULL,
  facet = NULL,
  models = NULL,
  horizons = NULL,
  windows = NULL,
  group_filter = NULL,
  ...
)

Arguments

x	An object of class 'forecast_error' from return_error().
type	Select plot type; type = "global" is the default plot.
metric	Select error metric to plot (e.g., "mae"); attributes(x)$error_metrics[1] is the default metric.
facet	Optional. A formula with any combination of horizon, model, or group (for grouped time series). passed to ggplot2::facet_grid() internally (e.g., horizon ~ model, horizon + model ~ ., ~ horizon + group). Can be NULL. The default faceting is set internally depending on the plot type.
models	Optional. A vector of user-defined model names from train_model() to filter results.
horizons	Optional. A numeric vector to filter results by horizon.
windows	Optional. A numeric vector to filter results by validation window number.
group_filter	A string for filtering plot results for grouped time series (e.g., "group_col_1 == 'A'").
...	Not used.

Value

Forecast error plots of class 'ggplot'.

forecastML documentation built on July 8, 2020, 7:27 p.m.