extractCaretTarget.default

an object where samples are in rows and features are in columns. This could be a simple matrix, data frame or other type (e.g. sparse matrix). See Details below.

a numeric or factor vector containing the outcome for each sample.

This function extracts the y variable from a set of arguments headed to a caret::train.default model.

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.

extractCaretTarget.default: Extracts the target variable from a set of arguments headed to the caret::train.default function.

Description

Usage

Arguments