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'))

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

On CRAN:

3.35 score 1 stars 1 packages 15 scripts 769 downloads 1 exports 1 dependencies

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

Target	Result	Date
Doc / Vignettes	OK	Nov 23 2024
R-4.5-win	OK	Nov 23 2024
R-4.5-linux	OK	Nov 23 2024
R-4.4-win	OK	Nov 23 2024
R-4.4-mac	OK	Nov 23 2024
R-4.3-win	OK	Nov 23 2024
R-4.3-mac	OK	Nov 23 2024