MboPlotSearchSpace: MboPlotSearchSpace

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

Description

This class generates plots for the visualization of the input space given prior and posterior distributions of the evaluated parameters in the mbo run.

Super class

VisBayesOpt::MboPlot -> MboPlotSearchSpace

Methods

Public methods

• MboPlotSearchSpace$new()

• MboPlotSearchSpace$plot()

• MboPlotSearchSpace$clone()

Inherited methods

• VisBayesOpt::MboPlot$set_param_vals()

---

Method new()

Creates a new instance of this R6 class.

Usage

MboPlotSearchSpace$new(opt_state)

Arguments

opt_state

(OptState).

---

Method plot()

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

Usage

MboPlotSearchSpace$plot(
  include_y = self$param_vals$include_y,
  include_init_design = self$param_vals$include_init_design,
  search_space_components = getParamIds(self$opt_state$opt.path$par.set)[1:2]
)

Arguments

include_y

(logical(1) | TRUE)
Specifies if points should be coloured with y values.

include_init_design

(logical(1) | TRUE)
Specifies if points should be coloured with y values.

search_space_components

(list())
Specifies the search space components which should be plotted.

Returns

(ggplot).

---

Method clone()

The objects of this class are cloneable with this method.

Usage

MboPlotSearchSpace$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

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