mlrMBO: Bayesian Optimization and Model-Based Optimization of Expensive Black-Box Functions

Canonical link: https://rscholar.com/pkg/mlrMBO

Bernd Bischl • Jakob Richter • Jakob Bossek • Daniel Horn • Michel Lang • Janek Thomas • View description and downloads View dependencies GitHub project

2017 Published

0 Citations

6 Authors

7 Revisions

1.1.5.1 Version

BSD_2_clause License

Referenced by ⇅	Year
mosmafs: Multi-Objective Simultaneous Model and Feature Selection (Version 0.1.2-1)	2020
ChemoSpec2D: Exploratory Chemometrics for 2D Spectroscopy (Version 0.5.0)	2018
FactorHet: Estimate Heterogeneous Effects in Factorial Experiments Using Grouping and Sparsity (Version 1.0.0)	2025
glmnetr: Nested Cross Validation for the Relaxed Lasso and Other Machine Learning Models (Version 0.5-4)	2022
mlr: Machine Learning in R (Version 2.19.2)	2013
mlrintermbo: Model-Based Optimization for 'mlr3' Through 'mlrMBO' (Version 0.5.1-1)	2021
tramnet: Penalized Transformation Models (Version 0.0-8)	2020
tuneRanger: Tune Random Forest of the 'ranger' Package (Version 0.7)	2018
varycoef: Modeling Spatially Varying Coefficients (Version 0.3.4)	2019

RPKG Scholar presents a tabulation of an author's contribution in the development of R packages stored in the Comprehensive R Archive Network (CRAN). Within this site, we consider package dependencies (suggests,imports,depends,enhances) as citations because we believe that using one's package to develop another is tantamount to citing the author of the package being imported, suggested or enhanced.