Package: monmlp 1.1.5-1

monmlp: Multi-Layer Perceptron Neural Network with Optional Monotonicity Constraints

Train and make predictions from a multi-layer perceptron neural network with optional partial monotonicity constraints.

Authors:Alex J. Cannon [aut, cre]

monmlp_1.1.5-1.tar.gz
monmlp_1.1.5-1.zip(r-4.7-any)monmlp_1.1.5-1.zip(r-4.6-any)monmlp_1.1.5-1.zip(r-4.5-any)
monmlp_1.1.5-1.tgz(r-4.6-any)monmlp_1.1.5-1.tgz(r-4.5-any)
monmlp_1.1.5-1.tar.gz(r-4.7-any)monmlp_1.1.5-1.tar.gz(r-4.6-any)
monmlp_1.1.5-1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
monmlp/json (API)

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

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.49 score 1 packages 51 scripts 398 downloads 2 mentions 9 exports 4 dependencies

Last updated from:fe0074ba00. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK116
source / vignettesOK149
linux-releaseOK109
macos-releaseOK95
macos-oldrelOK79
windows-develOK62
windows-releaseOK68
windows-oldrelOK68
wasm-releaseOK90

Exports:gam.stylelinearlinear.primelogisticlogistic.primemonmlp.fitmonmlp.predicttansigtansig.prime

Dependencies:nloptrnumDerivoptimxpracma