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
DESCRIPTION |NEWS
card.svg |card.png
neuralnet/json (API)

# 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:

11.01 score 35 stars 41 packages 4.3k scripts 11k downloads 37 mentions 5 exports 2 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64OK122
source / vignettesOK141
linux-release-x86_64OK109
macos-release-arm64OK86
macos-oldrel-arm64OK68
windows-develOK88
windows-releaseOK65
windows-oldrelOK68
wasm-releaseOK90

Exports:computeconfidence.intervalgwplotneuralnetprediction

Dependencies:DerivMASS