MboPlotEstimationUncertainty: MboPlotEstimationUncertainty

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

Description

This class plots the uncertainty for one model in the mbo run.

Super class

VisBayesOpt::MboPlot -> MboPlotEstimationUncertainty

Methods

Public methods

• MboPlotEstimationUncertainty$new()

• MboPlotEstimationUncertainty$plot()

• MboPlotEstimationUncertainty$clone()

Inherited methods

• VisBayesOpt::MboPlot$set_param_vals()

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Method new()

Creates a new instance of this R6 class.

Usage

MboPlotEstimationUncertainty$new(opt_state)

Arguments

opt_state

(OptState).

---

Method plot()

Plots the estimation uncertainty (y_evaluated vs y_estimated) for all previous outcome values at an iteration.

Usage

MboPlotEstimationUncertainty$plot(
  highlight_iter = self$param_vals$highlight_iter
)

Arguments

highlight_iter

(integer(1) | 1)
Specifies the iteration at which the uncertainty estimation is calculated.

Returns

(ggplot).

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Method clone()

The objects of this class are cloneable with this method.

Usage

MboPlotEstimationUncertainty$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

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