Package: mllrnrs 0.0.4

mllrnrs: 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.

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

mllrnrs_0.0.4.tar.gz
mllrnrs_0.0.4.zip(r-4.5)mllrnrs_0.0.4.zip(r-4.4)mllrnrs_0.0.4.zip(r-4.3)
mllrnrs_0.0.4.tgz(r-4.4-any)mllrnrs_0.0.4.tgz(r-4.3-any)
mllrnrs_0.0.4.tar.gz(r-4.5-noble)mllrnrs_0.0.4.tar.gz(r-4.4-noble)
mllrnrs_0.0.4.tgz(r-4.4-emscripten)mllrnrs_0.0.4.tgz(r-4.3-emscripten)
mllrnrs.pdf |mllrnrs.html✨
mllrnrs/json (API)

Peer review:

Bug tracker:https://github.com/kapsner/mllrnrs/issues

On CRAN:

algorithmsexperimentsglmnetlearnerlightgbmmachine-learningrangerxgboost

4 exports 1 stars 1.54 score 76 dependencies 1 dependents 26 scripts 441 downloads

Last updated 3 months agofrom:d5e430689e. Checks:OK: 7. Indexed: yes.

Exports:LearnerGlmnetLearnerLightgbmLearnerRangerLearnerXgboost

Dependencies:backportsbase64encbslibcachemcheckmatecliclustercodetoolscolorspacecrayondata.tabledigestdoParallelevaluatefansifarverfastmapfontawesomeforeachforeignFormulafsggplot2gluegridExtragtablehighrHmischmshtmlTablehtmltoolshtmlwidgetsisobanditeratorsjquerylibjsonlitekdryknitrlabelinglatticelifecyclemagrittrMASSMatrixmemoisemgcvmimemlexperimentsmunsellnlmennetpillarpkgconfigprettyunitsprogressR6rappdirsRColorBrewerrlangrmarkdownrpartrstudioapisassscalessplitToolsstringistringrtibbletinytexutf8vctrsviridisviridisLitewithrxfunyaml