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mlr (version 2.19.0)

plotTuneMultiCritResult: 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
)

Value

ggplot2 plot object.

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.

See Also

Other tune_multicrit: TuneMultiCritControl, tuneParamsMultiCrit()

Examples

Run this code
# see tuneParamsMultiCrit

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