reexports

These objects are imported from other packages. Follow the links
below to see their documentation.
<dl>
 <dt>generics</dt>
<dd><code><a href="https://generics.r-lib.org/reference/fit.html">fit</a></code></dd>
</dl>

internal

Implements a method that builds the coefficients of a polynomial
model that performs almost equivalently as a given neural network
(densely connected). This is achieved using Taylor expansion at the
activation functions. The obtained polynomial coefficients can be used
to explain features (and their interactions) importance in the neural network,
therefore working as a tool for interpretability or eXplainable Artificial
Intelligence (XAI). See Morala et al. 2021 <doi:10.1016/j.neunet.2021.04.036>,
and 2023 <doi:10.1109/TNNLS.2023.3330328>.

Pablo Morala

nn2poly

Neural Network Weights Transformation into Polynomial
Coefficients

Iñaki Ucar

Jose Ignacio Diez

reexports function

These objects are imported from other packages. Follow the links
below to see their documentation.
<dl>
 <dt>generics</dt>
<dd><code><a href='https://generics.r-lib.org/reference/fit.html'>fit</a></code></dd>


</dl>

reexports: Objects exported from other packages

Description

Arguments