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mllrnrs
View on CRAN: Click
here
Download and install mllrnrs package within the R console
Install from CRAN:
install.packages("mllrnrs")
Install from Github:
library("remotes")
install_github("cran/mllrnrs")
Install by package version:
library("remotes")
install_version("mllrnrs", "0.0.5")
Attach the package and use:
library("mllrnrs")
Maintained by
Lorenz A. Kapsner
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.mllrnrs . https://github.com/kapsner/mllrnrs/issues . https://github.com/kapsner/mllrnrs . mllrnrs results . mllrnrs.pdf . mllrnrs_0.0.5.tar.gz . mllrnrs_0.0.5.zip . mllrnrs_0.0.5.zip . mllrnrs_0.0.5.zip . mllrnrs_0.0.5.tgz . mllrnrs_0.0.5.tgz . mllrnrs_0.0.5.tgz . mllrnrs_0.0.5.tgz . mllrnrs_0.0.5.tgz . mllrnrs_0.0.5.tgz . mllrnrs archive . https://CRAN.R-project.org/package=mllrnrs .
First Published: 2023-07-18
Latest Update: 2023-07-18
Description:
Enhances 'mlexperiments'
with additional
machine learning ('ML') learners. The package provides R6-based
learners for the following algorithms: 'glmnet'
, 'ranger'
, 'xgboost'
, and 'lightgbm'
. These can be used
directly with the 'mlexperiments' R package.
How to cite:
Lorenz A. Kapsner (2023). mllrnrs: R6-Based ML Learners for 'mlexperiments'. R package version 0.0.5, https://cran.r-project.org/web/packages/mllrnrs. Accessed 31 Mar. 2025.
Previous versions and publish date:
Other packages that cited mllrnrs R package
View mllrnrs citation profile
Other R packages that mllrnrs depends,
imports, suggests or enhances
Complete documentation for mllrnrs
Functions, R codes and Examples using
the mllrnrs R package
Some associated functions: LearnerGlmnet . LearnerLightgbm . LearnerRanger . LearnerXgboost .
Some associated R codes: learner_glmnet.R . learner_lightgbm.R . learner_ranger.R . learner_xgboost.R . zzz.R . Full mllrnrs package functions and examples
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