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.
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.
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.