HTEFold: R6 class to represent partitions of the data between training...

HTEFoldR Documentation

R6 class to represent partitions of the data between training and held-out

Description

R6 class to represent partitions of the data between training and held-out

R6 class to represent partitions of the data between training and held-out

Details

This takes a set of folds calculated elsewhere and represents these folds in a consistent format.

Public fields

train

A dataframe containing only the training set

holdout

A dataframe containing only the held-out data

in_holdout

A logical vector indicating if the initial data lies in the holdout set.

Methods

Public methods


Method new()

Creates an R6 object of the data split between training and test set.

Usage
HTEFold$new(data, split_id)
Arguments
data

The dataset to be split

split_id

An identifier indicating which data should lie in the holdout set.

Returns

Returns an object of class HTEFold


Method clone()

The objects of this class are cloneable with this method.

Usage
HTEFold$clone(deep = FALSE)
Arguments
deep

Whether to make a deep clone.


tidyhte documentation built on Aug. 14, 2023, 5:08 p.m.