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Plot Tuning Metrics from tune_dw_model()

Source: R/plot_tdw_tuning_metrics.R
plot_tdw_tuning_metrics.Rd

This function creates a plot of the tuning metrics from a TuneDeweather object created using tune_dw_model(). It visualises how different hyperparameter values affect model performance (RMSE and RSQ). This allows for the 'best' parameters to be refined through visual inspection. This plot is likely most effective with between 1 and 3 simultaneously tuned parameters; any more will impede plot interpretation.

Usage

plot_tdw_tuning_metrics(
  tdw,
  x = NULL,
  group = NULL,
  facet = NULL,
  show_std_err = TRUE,
  cols = "Set1"
)

Arguments

tdw

A deweather tuning object created with tune_dw_model().

x

The tuned parameter to plot on the x-axis. If not selected, the first parameter in the metrics dataset will be chosen.

group, facet

Additional tuned parameters other than x, used to further control the plot. group colours the plot by another parameter, and facet splits the diagram into additional panels. Neither group nor facet can be the same parameter as x.

show_std_err

Show the standard error using error bars?

cols

Colours to use for plotting. See openair::openColours().

See also

Other Model Tuning Functions: plot_tdw_testing_scatter(), tune_dw_model()

Author

Jack Davison