outbound: Generic methods for forward (outbound) and backward (inbound)...

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

Generic methods for forward (outbound) and backward (inbound) feature space transformation using warper objects

Description

Outbound or forward transformation refers to the mapping T from feature space into a transformed space (e.g., principal component space), and inbound or backward transformation is its inverse transformation T^{1} back into feature space.

Usage

outbound(object, ...)

inbound(object, ...)

Arguments

object	A warper object, e.g. created by calling pca_warper() for a principal component transformation.
...	Additional arguments for the corresponding method.

Details

These functions are mainly intended for internal use. The warp() and unwarp() methods are more user-oriented interfaces.

Value

A transformed data frame of class warped_df (for outbound) or data.frame (for inbound transformations).

Functions

• inbound: Generic method for inbound

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