Package: neuralnet 1.44.6

Marvin N. Wright

neuralnet: Training of Neural Networks

Training of neural networks using backpropagation, resilient backpropagation with (Riedmiller, 1994) or without weight backtracking (Riedmiller and Braun, 1993) or the modified globally convergent version by Anastasiadis et al. (2005). The package allows flexible settings through custom-choice of error and activation function. Furthermore, the calculation of generalized weights (Intrator O & Intrator N, 1993) is implemented.

Authors:Stefan Fritsch [aut], Frauke Guenther [aut], Marvin N. Wright [aut, cre], Marc Suling [ctb], Sebastian M. Mueller [ctb]

neuralnet_1.44.6.tar.gz
neuralnet_1.44.6.zip(r-4.7)neuralnet_1.44.6.zip(r-4.6)neuralnet_1.44.6.zip(r-4.5)
neuralnet_1.44.6.tgz(r-4.6-any)neuralnet_1.44.6.tgz(r-4.5-any)
neuralnet_1.44.6.tar.gz(r-4.7-any)neuralnet_1.44.6.tar.gz(r-4.6-any)
neuralnet_1.44.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
neuralnet/json (API)
NEWS

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

Bug tracker:https://github.com/bips-hb/neuralnet/issues

On CRAN:

Conda:

11.23 score 35 stars 41 packages 4.2k scripts 19k downloads 37 mentions 5 exports 2 dependencies

Last updated from:09815356b9. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK121
source / vignettesOK159
linux-release-x86_64OK114
macos-release-arm64OK74
macos-oldrel-arm64OK76
windows-develOK75
windows-releaseOK68
windows-oldrelOK76
wasm-releaseOK77

Exports:computeconfidence.intervalgwplotneuralnetprediction

Dependencies:DerivMASS