trControlCheck

the target for the model.  Used to determine resampling indexes.

This function checks the user-supplied trainControl object and makes sure it has all the required fields.  If the resampling indexes are missing, it adds them to the model.  If savePredictions=FALSE, this function sets it to TRUE.

Functions for creating ensembles of caret models: caretList,
    caretEnsemble, and caretStack.  caretList is a convenience function for
    fitting multiple caret::train models to the same dataset. caretEnsemble will
    make a linear combination of these models using greedy forward selection,
    and caretStack will make linear or non-linear combinations of these models,
    using a caret::train model as a meta-model.

trControlCheck: Check that the trainControl object supplied by the user is valid and has defined re-sampling indexes.

Description

Usage

Arguments