Package: snap 2.0.0

snap: Simple Neural Application

A simple wrapper to easily design vanilla deep neural networks using a 'torch' backend for regression, classification and multi-label tasks, with some tweaks and tricks (skip shortcuts, embedding, feature selection and anomaly detection).

Authors:Giancarlo Vercellino [aut, cre, cph]

snap_2.0.0.tar.gz
snap_2.0.0.zip(r-4.7-any)snap_2.0.0.zip(r-4.6-any)snap_2.0.0.zip(r-4.5-any)
snap_2.0.0.tgz(r-4.6-any)snap_2.0.0.tgz(r-4.5-any)
snap_2.0.0.tar.gz(r-4.7-any)snap_2.0.0.tar.gz(r-4.6-any)
snap_2.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
snap/json (API)

# Install 'snap' in R:
install.packages('snap', repos = c('https://pigian.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.48 score 30 scripts 252 downloads 11 mentions 1 exports 32 dependencies

Last updated from:88ebbb0da1. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK105
source / vignettesOK144
linux-releaseOK101
macos-releaseOK93
macos-oldrelOK99
windows-develOK70
windows-releaseOK66
windows-oldrelOK68
wasm-releaseOK83

Exports:snap

Dependencies:bitbit64callrclicorocpp11dbscandescfarvergenericsggplot2gluegtableisobandjsonlitelabelinglifecyclemagrittrotelprocessxpsR6RColorBrewerRcpprlangS7safetensorsscalestorchvctrsviridisLitewithr