The mllrnrs R package ships with additional ML learners for mlexperiments.
Currently implemented learners are:
| Name | Based on | Description / Tasks |
|---|---|---|
| LearnerGlmnet | glmnet::glmnet |
General interface to glmnet (examples available for families binomial , multinomial, and regression |
| LearnerLightgbm | lightgbm::lgb.train |
General interface to lightgbm (examples available for objectives binary , multiclass, and regression |
| LearnerRanger | ranger::ranger |
General interface to ranger (examples available for tasks binary , multiclass, and regression |
| LearnerXgboost | xgboost::xgb.train |
General interface to xgboost (examples available for objectives binary:logistic , multi:softprob, and reg:squarederror |
For a short introduction on how to use the learners together with the mlexperiments R package, please visit the wiki page.
Some learner for survival tasks are implemented in the mlsurvlrnrs R package.
mllrnrs can be installed directly from CRAN:
install.packages("mllrnrs")To install the development version, run
install.packages("remotes")
remotes::install_github("kapsner/mllrnrs")