resample_fold_train_test_split

A data.frame, the data to be resampled.

A numeric vector with two classes, 0 and 1.

A numeric vector of length one; specifies what proportion of the data should be used for the training data set. Defaults to 0.667.

train_size

A vector with length equal to <code>length(y)</code> which identifies cases belonging to the same fold.

foldid

An integer vector of length one; specifies the seed to be used for the analysis. Defaults to NULL.

random_state

This will sample the training and test sets so that case identifiers (e.g. subject ID's) are not shared across training and test sets.

Easily build and evaluate machine learning models on a dataset. Machine
learning models supported include penalized linear models, penalized linear models
with interactions, random forest, support vector machines, neural networks,
and deep neural networks.

resample_fold_train_test_split: Sample with respect to an identification vector

Description

Usage

Arguments

Value

See Also