plotTuneMultiCritResult: Plots multi-criteria results after tuning using ggplot2.

In mlr: Machine Learning in R

Plots multi-criteria results after tuning using ggplot2.

Description

Visualizes the pareto front and possibly the dominated points.

Usage

plotTuneMultiCritResult(
  res,
  path = TRUE,
  col = NULL,
  shape = NULL,
  pointsize = 2,
  pretty.names = TRUE
)

Arguments

res	(TuneMultiCritResult) Result of tuneParamsMultiCrit.
path	(logical(1)) Visualize all evaluated points (or only the non-dominated pareto front)? For the full path, the size of the points on the front is slightly increased. Default is TRUE.
col	(character(1)) Which column of res$opt.path should be mapped to ggplot2 color? Default is NULL, which means none.
shape	(character(1)) Which column of res$opt.path should be mapped to ggplot2 shape? Default is NULL, which means none.
pointsize	(numeric(1)) Point size for ggplot2 ggplot2::geom_point for data points. Default is 2.
pretty.names	(logical(1)) Whether to use the ID of the measures instead of their name in labels. Defaults to TRUE.

Value

ggplot2 plot object.

See Also

Other tune_multicrit: TuneMultiCritControl, tuneParamsMultiCrit()

Examples

# see tuneParamsMultiCrit

mlr documentation built on June 22, 2024, 10:51 a.m.