Package: optimg 0.1.0

Vithor Rosa Franco

optimg: General-purpose Gradient-based Optimization

This package is a general purpose tool for helping users to implement gradient descent methods for function optimization. Currently, the Steepest 2-Groups Gradient Descent and the Adaptive Moment Estimation (Adam) are the methods implemented. Other methods will be implemented in the future.

Authors:Vithor Rosa Franco <[email protected]>

optimg_0.1.0.tar.gz
optimg_0.1.0.zip(r-4.7)optimg_0.1.0.zip(r-4.6)optimg_0.1.0.zip(r-4.5)
optimg_0.1.0.tgz(r-4.6-any)optimg_0.1.0.tgz(r-4.5-any)
optimg_0.1.0.tar.gz(r-4.7-any)optimg_0.1.0.tar.gz(r-4.6-any)
optimg_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
optimg/json (API)

# Install 'optimg' in R:

install.packages('optimg', repos = c('https://vthorrf.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/vthorrf/optimg/issues

On CRAN:

3.57 score 1 stars 1 packages 25 scripts 288 downloads 1 exports 1 dependencies

Last updated from:923e562c39. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	129
source / vignettes	OK	130
linux-release-x86_64	OK	96
macos-release-arm64	OK	197
macos-oldrel-arm64	OK	137
windows-devel	OK	82
windows-release	OK	58
windows-oldrel	OK	65
wasm-release	OK	120