Functions for creating ensembles of caret models: caretList() and caretStack(). caretList() is a convenience function for fitting multiple caret::train() models to the same dataset. caretStack() will make linear or non-linear combinations of these models, using a caret::train() model as a meta-model, and caretEnsemble() will make a robust linear combination of models using a GLM.
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
caretEnsemble to combine them greedily, or
caretStack to combine them using a caret model.
There are also tagged versions of caretEnsemble on github you can install via devtools. For example, to install the original draft of the API:
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