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Provides general purpose tools for helping users to implement steepest gradient descent methods for function optimization; for details see Ruder (2016) <doi:10.48550/arXiv.1609.04747>. 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.
| Version: | 0.1.2 |
| Imports: | ucminf (≥ 1.1-4) |
| Published: | 2021-10-07 |
| Author: | Vithor Rosa Franco |
| Maintainer: | Vithor Rosa Franco <vithorfranco at gmail.com> |
| License: | GPL-3 |
| URL: | https://github.com/vthorrf/optimg |
| NeedsCompilation: | no |
| CRAN checks: | optimg results |
| Reference manual: | optimg.pdf |
| Package source: | optimg_0.1.2.tar.gz |
| Windows binaries: | r-devel: optimg_0.1.2.zip, r-release: optimg_0.1.2.zip, r-oldrel: optimg_0.1.2.zip |
| macOS binaries: | r-release (arm64): optimg_0.1.2.tgz, r-oldrel (arm64): optimg_0.1.2.tgz, r-release (x86_64): optimg_0.1.2.tgz, r-oldrel (x86_64): optimg_0.1.2.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.