predict.caretList

object

additional arguments to pass to predict.train. Pass the <code>newdata</code>
argument here, DO NOT PASS the "type" argument.  Classification models will
return probabilities if possible, and regression models will return "raw".

Logical. If FALSE no progress bar is printed if TRUE a progress
bar is shown. Default FALSE.

verbose

Make a matrix of predictions from a list of caret models

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.

predict.caretList: Create a matrix of predictions for each of the models in a caretList

Description

Usage

Arguments