Generic S3 plot() and autoplot() (ggplot2) methods to visualize mlr3 spatiotemporal resampling objects.

# S3 method for ResamplingSptCVCluto
autoplot(
  object,
  task,
  fold_id = NULL,
  plot_as_grid = TRUE,
  train_color = "#0072B5",
  test_color = "#E18727",
  tickformat_date = "%Y-%m",
  nticks_x = 3,
  nticks_y = 3,
  point_size = 3,
  axis_label_fontsize = 11,
  ...
)

# S3 method for ResamplingRepeatedSptCVCluto
autoplot(
  object,
  task,
  fold_id = NULL,
  repeats_id = 1,
  plot_as_grid = TRUE,
  train_color = "#0072B5",
  test_color = "#E18727",
  ...
)

# S3 method for ResamplingSptCVCluto
plot(x, ...)

# S3 method for ResamplingRepeatedSptCVCluto
plot(x, ...)

Arguments

object

[Resampling]
mlr3 spatial resampling object of class ResamplingSptCVCluto or ResamplingRepeatedSptCVCluto.

task

[TaskClassifST]/[TaskRegrST]
mlr3 task object.

fold_id

[numeric]
Fold IDs to plot.

plot_as_grid

[logical(1)]
Should a gridded plot using via patchwork be created? If FALSE a list with of ggplot2 objects is returned. Only applies if a numeric vector is passed to argument fold_id.

train_color

[character(1)]
The color to use for the training set observations.

test_color

[character(1)]
The color to use for the test set observations.

tickformat_date

[character]
Date format for z-axis.

nticks_x

[integer]
Number of x axis breaks. Only applies to SptCVCluto.

nticks_y

[integer]
Number of y axis breaks. Only applies to SptCVCluto.

point_size

[numeric]
Point size of markers.

axis_label_fontsize

[integer]
Font size of axis labels.

...

Passed to geom_sf(). Helpful for adjusting point sizes and shapes.

repeats_id

[numeric]
Repetition ID to plot.

x

[Resampling]
mlr3 spatial resampling object of class ResamplingSptCVCluto or ResamplingRepeatedSptCVCluto.

See also

Examples

if (FALSE) { if (mlr3misc::require_namespaces(c("sf", "skmeans", "plotly"), quietly = TRUE)) { library(mlr3) library(mlr3spatiotempcv) task_st = tsk("cookfarm") resampling = rsmp("sptcv_cluto", folds = 5, time_var = "Date") resampling$instantiate(task_st) # plot autoplot(resampling, task_st) autoplot(resampling, task_st, fold_id = 1) autoplot(resampling, task_st, fold_id = c(1, 2)) } }