Package: nnetLM 1.0.1.9000
nnetLM: Neural Network with Levenberg-Marquardt Optimization
An implementation of a Neural Network using the Levenberg-Marquardt optimization from 'minpack.lm', ideal for small datasets. For more details see Moré (1978) <doi:10.1007/BFb0067700>.
Authors:
nnetLM_1.0.1.9000.tar.gz
nnetLM_1.0.1.9000.zip(r-4.7-any)nnetLM_1.0.1.9000.zip(r-4.6-any)nnetLM_1.0.1.9000.zip(r-4.5-any)
nnetLM_1.0.1.9000.tgz(r-4.6-any)nnetLM_1.0.1.9000.tgz(r-4.5-any)
nnetLM_1.0.1.9000.tar.gz(r-4.7-any)nnetLM_1.0.1.9000.tar.gz(r-4.6-any)
nnetLM_1.0.1.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
nnetLM/json (API)
| # Install 'nnetLM' in R: |
| install.packages('nnetLM', repos = c('https://umbe1987.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/umbe1987/nnetlm/issues
Last updated from:a087aeb888. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 95 | ||
| source / vignettes | OK | 153 | ||
| linux-release | OK | 84 | ||
| macos-release | OK | 162 | ||
| macos-oldrel | OK | 115 | ||
| windows-devel | OK | 65 | ||
| windows-release | OK | 63 | ||
| windows-oldrel | OK | 56 | ||
| wasm-release | OK | 77 |
Exports:nnetLMtrain.nnetLM
Dependencies:minpack.lm
