Visualizations for mlr3::LearnerClassif.
The argument type
controls what kind of plot is drawn.
Possible choices are:
"prediction"
(default): Decision boundary of the learner and the true class labels.
Usage
# S3 method for LearnerClassif
autoplot(
object,
type = "prediction",
task,
grid_points = 100L,
expand_range = 0,
theme = theme_minimal(),
...
)
Arguments
- object
- type
(character(1)):
Type of the plot. See description.- task
(mlr3::Task)
Train task.- grid_points
(integer(1))
Number of grid points per feature dimension.- expand_range
(numeric(1))
Expand the range of the grid.- theme
(
ggplot2::theme()
)
Theggplot2::theme_minimal()
is applied by default to all plots.- ...
(ignored).