The goal of baseliner is to have very basic models that can serve as a nice baseline for all your ML endeavours. It is nice to be able to have a baseline that you can beat.
And the development version from GitHub with:
# install.packages("devtools") devtools::install_github("koaning/baseliner")
This is a basic example which shows you how to solve a common problem:
library(baseliner) # get yer dataframe ready dataf <- data.frame(y = 1:10, x = 1:10) # make a dummy model for benchmarking mod <- dummy_regressor(y ~ ., data=dataf, strategy="mean") # get 'yer test data and predict test_data <- data.frame(x = 1:5) pred <- predict(mod, test_data) # well done! you now have an easy benchmark to beat