MboPlotDistToNeighbor: MboPlotDistToNeighbor

In PhilippScheller/VisBayesOpt: Visualizing model based optimization runs from package mlrMBO

Description

This class generates plots for the visualization of the explore-exploit trade-pff. Therefore the distance of f(x)

Super class

VisBayesOpt::MboPlot -> MboPlotDistToNeighbor

Methods

Public methods

• MboPlotDistToNeighbor$new()

• MboPlotDistToNeighbor$plot()

• MboPlotDistToNeighbor$clone()

Inherited methods

• VisBayesOpt::MboPlot$set_param_vals()

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Method new()

Creates a new instance of this R6 class.

Usage

MboPlotDistToNeighbor$new(opt_state)

Arguments

opt_state

(OptState).

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Method plot()

Plots prior distributions of mbo run specified in the set of parameters.

Usage

MboPlotDistToNeighbor$plot(
  dist_measure = self$param_vals$dist_measure,
  include_init_design = self$param_vals$include_init_design
)

Arguments

dist_measure

(character(1) | "min")
Defines the distance measure which is considered for the determination of the distance between the search space componentens. min takes the minimum of the p componentents, while max uses maximum distance and mean calculates arithmetic mean distance. The default is min. @param include_init_design (logical(1) | TRUE)
Decide whether to include to points from the initial design. If TRUE the initial design points are separated by a vertical line. If FALSE they are not plotted. Default is TRUE.

Returns

(ggplot).

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Method clone()

The objects of this class are cloneable with this method.

Usage

MboPlotDistToNeighbor$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

PhilippScheller/VisBayesOpt documentation built on Sept. 14, 2020, 12:47 p.m.