R6-Based ML Learners for 'mlexperiments'

Enhances 'mlexperiments' < https://CRAN.R-project.org/package=mlexperiments> with additional machine learning ('ML') learners. The package provides R6-based learners for the following algorithms: 'glmnet' < https://CRAN.R-project.org/package=glmnet>, 'ranger' < https://CRAN.R-project.org/package=ranger>, 'xgboost' < https://CRAN.R-project.org/package=xgboost>, and 'lightgbm' < https://CRAN.R-project.org/package=lightgbm>. These can be used directly with the 'mlexperiments' R package.

Reference manual

install.packages("mllrnrs")

0.0.9 by Lorenz A. Kapsner, 2 months ago

Report a bug at https://github.com/kapsner/mllrnrs/issues

Browse source code at https://github.com/cran/mllrnrs

Authors: Lorenz A. Kapsner [cre, aut, cph] (ORCID:

Documentation: PDF Manual

GPL (>= 3) license

Imports data.table, kdry, mlexperiments, R6, stats

Suggests glmnet, lightgbm, lintr, measures, mlbench, parallel, quarto, ranger, rBayesianOptimization, splitTools, testthat, xgboost

System requirements: Quarto command line tools (https://github.com/quarto-dev/quarto-cli).

Imported by mlsurvlrnrs.