inst/shinyApp/Rmd-docs/MboPlotEstimationUncertainty.md
In PhilippScheller/VisBayesOpt: Visualizing model based optimization runs from package mlrMBO
MboPlotEstimationUncertainty
Description
The plot visualizes the degree of uncertainty in the estimation of new points.
Interpretation
* Left plot: Absolute difference between estimated $\hat y$ and evaluated (true) point $y$ over the Iterations
* Right plot: Frequency of differences between $\hat y$ and $y$
How to use
* Quantify estimation uncertainty: if the overall frequency of deviations is high, the estimation error large for higher iterations then the surrogate does not well and should be changed.
Modifications
* We can select the $highlight_iter$ to calculate the plots for exactly this iteration
PhilippScheller/VisBayesOpt documentation built on Sept. 14, 2020, 12:47 p.m.
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MboPlotEstimationUncertainty
Description The plot visualizes the degree of uncertainty in the estimation of new points.
Interpretation * Left plot: Absolute difference between estimated $\hat y$ and evaluated (true) point $y$ over the Iterations * Right plot: Frequency of differences between $\hat y$ and $y$
How to use * Quantify estimation uncertainty: if the overall frequency of deviations is high, the estimation error large for higher iterations then the surrogate does not well and should be changed.
Modifications * We can select the $highlight_iter$ to calculate the plots for exactly this iteration
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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