Plot a fitted model

Plot a fitted model

Usage

# S3 method for class 'agri_model'
plot(
  x,
  type = c("observed", "residuals", "importance"),
  top = 12,
  n_perm = 3,
  ...
)

Arguments

x

A model fitted by train_model().

type

"observed" plots out-of-fold predictions against the truth with a one to one line, which is the honest version of the usual fitted-versus-observed figure; "residuals" plots residuals against the prediction, to expose bias that a single skill number hides; "importance" draws out-of-fold permutation importance.

top

Number of features for "importance".

n_perm

Shuffles per feature for "importance".

...

Passed to plot.

Value

x, invisibly. Called for the plot.

See also

plot_map(), plot_effect(), plot_uncertainty()

Examples

p <- agri_project(demo_agri_data(n_units = 20, n_seasons = 3))
p <- build_features(phenology_windows(add_climate(p)), stats = "sum")
m <- train_model(p, "yield", algorithm = "lm", k = 3)
plot(m)

plot(m, type = "residuals")