person("Quay", "Au", , "quayau@gmail.com", role = "aut",
person("Stefan", "Coors", , "mail@stefancoors.de", role = "aut",
Description: Recommended Learners for 'mlr3'. Extends 'mlr3' and
'mlr3proba' with interfaces to essential machine learning packages on
CRAN.  This includes, but is not limited to: (penalized) linear and
logistic regression, linear and quadratic discriminant analysis,
k-nearest neighbors, naive Bayes, support vector machines, and
Imports: checkmate, data.table, mlr3misc (>= 0.9.4), paradox, R6

with interfaces to essential machine learning packages on
nnet, pracma, ranger, rgenoud, rmarkdown, testthat (>= 3.0.0),

Suggests: DiceKriging, e1071, glmnet, kknn, knitr, lgr, MASS, nnet,
pracma, ranger, rgenoud, rmarkdown, testthat (>= 3.0.0),

person("Lennart", "Schneider", , "lennart.sch@web.de", role = c("cre", "aut"),
person("Sebastian", "Fischer", , "sebf.fischer@gmail.com", role = "aut",
person("Michael H.", "Buselli", role = "cph"),
person("Wessel", "Dankers", role = "cph"),
person("Carlos", "Fonseca", role = "cph"),
person("Manuel", "Lopez-Ibanez", role = "cph"),
person("Luis", "Paquete", role = "cph"))
Description: A modern and flexible approach to Bayesian Optimization / Model
Based Optimization building on the 'bbotk' package. 'mlr3mbo' is a toolbox
providing both ready-to-use optimization algorithms as well as their fundamental
building blocks allowing for straightforward implementation of custom
algorithms. Single- and multi-objective optimization is supported as well as
mixed continuous, categorical and conditional search spaces. Moreover, using
'mlr3mbo' for hyperparameter optimization of machine learning models within the
'mlr3' ecosystem is straightforward via 'mlr3tuning'. Examples of ready-to-use
optimization algorithms include Efficient Global Optimization by Jones et al.
<doi:10.1109/TEVC.2005.851274> and SMS-EGO by Ponweiser et al. (2008)
Imports: bbotk (>= 0.5.4), checkmate (>= 2.0.0), data.table, lgr (>=
Suggests: DiceKriging, knitr, lhs, mlr3learners (>= 0.5.4),
mlr3pipelines (>= 0.4.2), nloptr, ranger, rgenoud, rmarkdown,
rpart, spacefillr, stringi, testthat (>= 3.0.0),
Author: Lennart Schneider [cre, aut] (<https://orcid.org/0000-0003-4152-5308>),