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.
- Version0.0.4
- R versionunknown
- LicenseGPL (≥ 3)
- Needs compilation?No
- Last release07/05/2024
Documentation
- Vignetteglmnet: Binary Classification
- Vignetteglmnet: Multiclass Classification
- Vignetteglmnet: Regression
- Vignettelightgbm: Binary Classification
- Vignettelightgbm: Multiclass Classification
- Vignettelightgbm: Regression
- Vignetteranger: Binary Classification
- Vignetteranger: Multiclass Classification
- Vignetteranger: Regression
- Vignettexgboost: Binary Classification
- Vignettexgboost: Multiclass Classification
- Vignettexgboost: Regression
- Materialmllrnrs.pdf
- Materialglmnet: Binary Classification
- Materialglmnet: Multiclass Classification
- Materialglmnet: Regression
- Materiallightgbm: Binary Classification
- Materiallightgbm: Multiclass Classification
- Materiallightgbm: Regression
- Materialranger: Binary Classification
- Materialranger: Multiclass Classification
- Materialranger: Regression
- Materialxgboost: Binary Classification
- Materialxgboost: Multiclass Classification
- Materialxgboost: Regression
Team
Lorenz A. Kapsner
MaintainerShow author details
Insights
Last 30 days
Last 365 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports4 packages
- Suggests11 packages
- Reverse Imports1 package