Convert to visualizer — as_visualizer • vistool

This function converts to a visualizer.

Usage

as_visualizer(x, ...)

# S3 method for class 'Task'
as_visualizer(
  x,
  learner,
  x1_limits = NULL,
  x2_limits = NULL,
  padding = 0,
  n_points = 100L,
  ...
)

# S3 method for class 'Objective'
as_visualizer(
  x,
  x1_limits = NULL,
  x2_limits = NULL,
  padding = 0,
  n_points = 100L,
  ...
)

# S3 method for class 'LossFunction'
as_visualizer(x, y_pred, y_true, ...)

Arguments

x: (`any`)
Object to convert to a visualizer.
...: (`any`)
Additional arguments.
learner: (`mlr3::Learner`)
The learner to train the model with.
x1_limits: (`numeric(2)`)
The x1 limits.
x2_limits: (`numeric(2)`)
The x2 limits.
padding: (`numeric(1)`)
A margin that is added to x1limits and x2limits. The x1 margin is calculated by `max(x1lmits) - min(x1limits) * padding`.
n_points: (`integer(1)`)
The number of generated point per dimension. Note that a grid of `npoints^2` values is generated and evaluated by `objective$eval(x)` to plot the surface.
y_pred: (`numeric()`)
Predicted values.
y_true: (`numeric(1)`)
True value.