Package: nn2poly
Title: Neural Network Weights Transformation into Polynomial
        Coefficients
Version: 0.1.3
Authors@R: c(
    person(given = "Pablo", family = "Morala", role = c("aut", "cre"),
           email = "moralapablo@gmail.com",
           comment = c(ORCID = "0000-0002-4109-2330")),
    person(given = "Iñaki", family = "Ucar", role = c("aut"),
           email = "iucar@fedoraproject.org",
           comment = c(ORCID = "0000-0001-6403-5550")),
    person(given = "Jose Ignacio", family = "Diez", role = c("ctr"))
    )
Description: 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>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: Rcpp, generics, matrixStats, pracma
Suggests: keras, tensorflow, reticulate, luz, torch, cowplot, ggplot2,
        patchwork, testthat (>= 3.0.0), vdiffr, knitr, rmarkdown
LinkingTo: Rcpp, RcppArmadillo
VignetteBuilder: knitr
RoxygenNote: 7.2.3
Config/testthat/edition: 3
URL: https://ibidat.github.io/nn2poly/,
        https://github.com/IBiDat/nn2poly
BugReports: https://github.com/IBiDat/nn2poly/issues
NeedsCompilation: yes
Packaged: 2025-12-12 09:59:11 UTC; iucar
Author: Pablo Morala [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-4109-2330>),
  Iñaki Ucar [aut] (ORCID: <https://orcid.org/0000-0001-6403-5550>),
  Jose Ignacio Diez [ctr]
Maintainer: Pablo Morala <moralapablo@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-12 10:10:02 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-26 23:04:23 UTC; unix
Archs: nn2poly.so.dSYM
