MboPlotProgress: MboPlotProgress
In PhilippScheller/VisBayesOpt: Visualizing model based optimization runs from package mlrMBO
Description
Super class
Methods
Description
This class plots the minimum value (y) over the iterations of a mlrMbo run.
Super class
VisBayesOpt::MboPlot -> MboPlotProgress
Methods
Public methods
Inherited methods
Method new()
Creates a new instance of this R6 class.
Usage
MboPlotProgress$new(opt_state)
Arguments
opt_state(OptState).
Method plot()
Plots minimal value of model (y) of mbo run over the iterations.
Usage
MboPlotProgress$plot()
Returns
(ggplot).
Method clone()
The objects of this class are cloneable with this method.
Usage
MboPlotProgress$clone(deep = FALSE)
Arguments
deepWhether to make a deep clone.
PhilippScheller/VisBayesOpt documentation built on Sept. 14, 2020, 12:47 p.m.
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Description Super class Methods
Description
This class plots the minimum value (y) over the iterations of a mlrMbo run.
Super class
VisBayesOpt::MboPlot -> MboPlotProgress
Methods
Public methods
Inherited methods
Method new()
Creates a new instance of this R6 class.
Usage
MboPlotProgress$new(opt_state)
Arguments
opt_state(OptState).
Method plot()
Plots minimal value of model (y) of mbo run over the iterations.
Usage
MboPlotProgress$plot()
Returns
(ggplot).
Method clone()
The objects of this class are cloneable with this method.
Usage
MboPlotProgress$clone(deep = FALSE)
Arguments
deepWhether to make a deep clone.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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