MBOMultiObjResult: Multi-Objective result object.
In mlrMBO: Bayesian Optimization and Model-Based Optimization of Expensive Black-Box Functions
MBOMultiObjResult R Documentation
Multi-Objective result object.
Description
- pareto.front [
matrix] Pareto front of all evaluated points.
- pareto.set [
list of lists] Pareto set of all evaluated points.
- pareto.inds [
numeric] Indices of the Pareto-optimal points in the opt.path.
- opt.path [
OptPath] Optimization path.
Includes all evaluated points and additional information as documented in mbo_OptPath.
You can convert it via as.data.frame.
- final.state [
character] The final termination state. Gives information why the optimization ended.
- models [List of
WrappedModel] List of saved regression models.
- control [
MBOControl] Control object used in optimization.
mlrMBO documentation built on March 1, 2026, 9:07 a.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.
| MBOMultiObjResult | R Documentation |
Multi-Objective result object.
Description
- pareto.front [
matrix] Pareto front of all evaluated points.
- pareto.set [
listoflists] Pareto set of all evaluated points.
- pareto.inds [
numeric] Indices of the Pareto-optimal points in the opt.path.
- opt.path [
OptPath] Optimization path. Includes all evaluated points and additional information as documented in mbo_OptPath. You can convert it via
as.data.frame.- final.state [
character] The final termination state. Gives information why the optimization ended.
- models [List of
WrappedModel] List of saved regression models.
- control [
MBOControl] Control object used in optimization.
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.