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mllrnrs  

R6-Based ML Learners for 'mlexperiments'
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", "0.0.4")



Attach the package and use:
library("mllrnrs")
Maintained by
Lorenz A. Kapsner
[Scholar Profile | Author Map]
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 0.0.4, https://cran.r-project.org/web/packages/mllrnrs. Accessed 10 Jan. 2025.
Previous versions and publish date:
0.0.2 (2023-07-18 18:40), 0.0.3 (2024-03-07 17:20)
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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