warp: Transform data from feature space into a transformed space

In alexanderbrenning/wiml: Interpreting machine-learning models in transformed space

Transform data from feature space into a transformed space

Description

These methods apply the transformation T to data in feature space - the result is, for example, the principal components representation of the data, if a pca_warper is used.

Usage

warp(x, ...)

Arguments

x	The object to be transformed, normally a data frame.
...	Additional arguments to be passed to the warp method.

Value

A data frame with features in the transformed (e.g., PCA) space.

See Also

unwarp() for the inverse transformation, and pca_warper() for an example of a simple warper function based on the principal component transformation.

alexanderbrenning/wiml documentation built on Sept. 29, 2023, 4:45 a.m.