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-4.5)optimg_0.1.0.zip(r-4.4)optimg_0.1.0.zip(r-4.3)
optimg_0.1.0.tgz(r-4.4-any)optimg_0.1.0.tgz(r-4.3-any)
optimg_0.1.0.tar.gz(r-4.5-noble)optimg_0.1.0.tar.gz(r-4.4-noble)
optimg_0.1.0.tgz(r-4.4-emscripten)optimg_0.1.0.tgz(r-4.3-emscripten)
optimg.pdf |optimg.html
optimg/json (API)

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

Peer review:

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

On CRAN:

1 exports 1 stars 1.03 score 1 dependencies 1 dependents 8 scripts 377 downloads

Last updated 2 years agofrom:923e562c39. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 25 2024
R-4.5-winOKAug 25 2024
R-4.5-linuxOKAug 25 2024
R-4.4-winOKAug 25 2024
R-4.4-macOKAug 25 2024
R-4.3-winOKAug 25 2024
R-4.3-macOKAug 25 2024

Exports:optimg

Dependencies:ucminf