Framework for fitting multiple caret models using the same re-sampling strategy as well as creating ensembles of such models. Use caretList
to fit multiple models, and then use caretStack
to stack them using a caret model.
caretEnsemble was inspired by medley, which in turn was inspired by Caruana et. al.'s (2004) paper Ensemble Selection from Libraries of Models.
If you want to do something similar in python, check out vecstack
install.packages('caretEnsemble')
devtools::install_github('zachmayer/caretEnsemble')
There are also tagged versions of caretEnsemble on github you can install via devtools. For example, to install the original draft of the API:
devtools::install_github('zachmayer/caretEnsemble@0.0')
caretEnsemble has changed a bit over the years, so the tags let you use older versions of the package (e.g. if you want to use greedy ensembling).
Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.