CRAN/E | mllrnrs

mllrnrs

R6-Based ML Learners for 'mlexperiments'

Installation

About

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.

github.com/kapsner/mllrnrs
Bug report File report

Key Metrics

Version 0.0.3
R ≥ 2.10
Published 2024-03-07 51 days ago
Needs compilation? no
License GPL (≥ 3)
CRAN checks mllrnrs results

Downloads

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Last 30 days 317 -21%
Last 90 days 958 -6%
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Maintainer

Maintainer

Lorenz A. Kapsner

lorenz.kapsner@gmail.com

Authors

Lorenz A. Kapsner

cre / aut / cph

Material

Reference manual
Package source

Vignettes

glmnet: Binary Classification
glmnet: Multiclass Classification
glmnet: Regression
lightgbm: Binary Classification
lightgbm: Multiclass Classification
lightgbm: Regression
ranger: Binary Classification
ranger: Multiclass Classification
ranger: Regression
xgboost: Binary Classification
xgboost: Multiclass Classification
xgboost: Regression

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

mllrnrs archive

Depends

R ≥ 2.10

Imports

data.table
kdry
mlexperiments
R6
stats

Suggests

glmnet
knitr
lightgbm ≥ 4.0.0
lintr
mlbench
mlr3measures
ParBayesianOptimization
ranger
splitTools
testthat ≥ 3.0.1
xgboost

Reverse Imports

mlsurvlrnrs