_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
r-mlrmbo 1.1.5.1
Propagated dependencies: r-backports@1.5.0 r-bbmisc@1.13 r-checkmate@2.3.2 r-data-table@1.16.2 r-lhs@1.2.0 r-mlr@2.19.2 r-parallelmap@1.5.1 r-paramhelpers@1.14.1 r-smoof@1.6.0.3
Channel: guix
Location: gnu/packages/cran.scm (gnu packages cran)
Home page: https://github.com/mlr-org/mlrMBO
Licenses: FreeBSD
Synopsis: Model-based optimization with mlr
Description:

This package is a flexible and comprehensive R toolbox for model-based optimization. It implements Efficient Global Optimization Algorithm for single- and multi-objective optimization. It supports mixed parameters. The machine learning toolbox mlr offers regression learners. It provides various infill criteria and features batch proposal, parallel execution, visualization, and logging. Its modular implementation allows easy customization by the user.

Total results: 1