_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
r-mlr3pipelines 0.7.1
Propagated dependencies: r-backports@1.5.0 r-checkmate@2.3.2 r-data-table@1.16.2 r-digest@0.6.37 r-lgr@0.4.4 r-mlr3@0.21.1 r-mlr3misc@0.15.1 r-paradox@1.0.1 r-r6@2.5.1 r-withr@3.0.2
Channel: guix
Location: gnu/packages/cran.scm (gnu packages cran)
Home page: https://mlr3pipelines.mlr-org.com/
Licenses: LGPL 3
Synopsis: Preprocessing Operators and Pipelines for @code{mlr3}
Description:

mlr3pipelines enriches mlr3 with a diverse set of pipelining operators (PipeOps) that can be composed into graphs. Operations exist for data preprocessing, model fitting, and ensemble learning. Graphs can themselves be treated as mlr3 Learners and can therefore be resampled, benchmarked, and tuned.

Total results: 1