Package: densemlp
Title: Dense Neural Networks for Tabular Classification and Regression
Version: 0.5.0
Authors@R: 
    person("Imad", "EL BADISY", email = "elbadisyimad@gmail.com", role = c("aut", "cre"))
Author: Imad EL BADISY [aut, cre]
Maintainer: Imad EL BADISY <elbadisyimad@gmail.com>
Description: Provides dense feed-forward neural network models for
    tabular regression and classification using 'torch'. The package supports
    modern extensions around dense neural network blocks, including dropout,
    batch normalization, residual connections, gated blocks, and optional
    input projection.
URL: https://github.com/ielbadisy/densemlp
BugReports: https://github.com/ielbadisy/densemlp/issues
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.3
Imports: ggplot2, stats, torch
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Config/testthat/edition: 3
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-03 18:54:34 UTC; imad-el-badisy
Repository: CRAN
Date/Publication: 2026-08-08 13:50:11 UTC
Built: R 4.6.0; ; 2026-08-08 16:11:15 UTC; unix
