plotExampleRun: Renders plots for exampleRun objects and displays them.

In mlrMBO: Bayesian Optimization and Model-Based Optimization of Expensive Black-Box Functions

Renders plots for exampleRun objects and displays them.

Description

The graphical output depends on the target function at hand. - For 1D numeric functions the upper plot shows the true function (if known), the model and the (infill) points. The lower plot shows the infill criterion. - For 2D mixed target functions only one plot is displayed. - For 2D numeric only target functions up to four plots are presented to the viewer: - levelplot of the true function landscape (with [infill] points), - levelplot of the model landscape (with [infill] points), - levelplot of the infill criterion - levelplot of the standard error (only if learner supports standard error estimation). - For bi-criteria target functions the upper plot shows the target space and the lower plot displays the x-space.

Usage

plotExampleRun(
  object,
  iters,
  pause = interactive(),
  densregion = TRUE,
  se.factor = 1,
  single.prop.point.plots = FALSE,
  xlim = NULL,
  ylim = NULL,
  point.size = 3,
  line.size = 1,
  trafo = NULL,
  colors = c("red", "blue", "green"),
  gg.objects = list(),
  ...
)

Arguments

object	[function] MBOExampleRun object from exampleRun or MBOExampleRunMultiObj object from exampleRunMultiObj.
iters	[integer] Selected iterations of object to produce plots. Default is all iterations.
pause	[logical(1)] Should the process be paused after each iteration? Default is interactive().
densregion	[logical(1)] Should the background be shaded? Default is TRUE. Only used if learner supports computation of standard error.
se.factor	[numeric(1)] If the model provides local standard error estimation, in addition to the mean response yhat(x) +- se.factor * se(x) is plotted above and below. Default is 1.
single.prop.point.plots	[logical(1)] Parameter for MOI-MBO Multi-point proposal: Should every proposed point be displayed in a single plot - or one plot per Iteration? Default is FALSE indicating single plots per proposed points.
xlim	[numeric(2)] For 1D: xlim parameter for first and second plot. Default is range of x-values evaluated in run object x.
ylim	[numeric(2)] For 1D: ylim parameter for first plot, for the second plot ylim is always set automatically, depending on the range of the evaluated infill criterion. Default for the first plot is a heuristic to have the true function and yhat(x) +- se.factor2 * se(x) both in the plot. Note that this heuristic might change the ylim setting between plot iterations.
point.size	[numeric(1)] Point size for plotted points. Default is 3.
line.size	[numeric(1)] Line width of the graphs of plotted functions.
trafo	[list] List of transformation functions of type MBOTrafoFunction for the different plots. For 1D: The list elements should be named with “y” (applied to objective function and model) or “crit” (applied to the criterion). Only applied to plots with numeric parameters. For 2D: The list should contain at least one element “y”, “yhat”, “crit” or “se”. This way one can specify different transformations for different plots. If a single function is provided, this function is used for all plots.
colors	[character(3)] Specify colors for point in the plots. Must be a vector of length 3, each element a color for the type design, prop and seq respectively. Default is red for the initial design, blue for already proposed points and green for the actual iteration.
gg.objects	[list)] List of gg objects that should be added to all ggplots.
...	[any] Currently not used.

Value

Nothing.

mlrMBO documentation built on July 4, 2022, 9:05 a.m.