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:
monmlp_1.1.5-1.tar.gz
monmlp_1.1.5-1.zip(r-4.7)monmlp_1.1.5-1.zip(r-4.6)monmlp_1.1.5-1.zip(r-4.5)
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✨
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:fe0074ba00. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 122 | ||
| source / vignettes | OK | 142 | ||
| linux-release-x86_64 | OK | 89 | ||
| macos-release-arm64 | OK | 106 | ||
| macos-oldrel-arm64 | OK | 86 | ||
| windows-devel | OK | 105 | ||
| windows-release | OK | 70 | ||
| windows-oldrel | OK | 110 | ||
| wasm-release | OK | 98 |
Exports:gam.stylelinearlinear.primelogisticlogistic.primemonmlp.fitmonmlp.predicttansigtansig.prime
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Monotone Multi-Layer Perceptron Neural Network | monmlp-package monmlp |
| GAM-style effects plots for interpreting MLP and MONMLP models | gam.style |
| Identity function | linear |
| Derivative of the linear function | linear.prime |
| Logistic sigmoid function | logistic |
| Derivative of the logistic sigmoid function | logistic.prime |
| Fit one or more MLP or MONMLP models | monmlp.fit |
| Make predictions from a fitted MLP or MONMLP model | monmlp.predict |
| Hyperbolic tangent sigmoid function | tansig |
| Derivative of the hyperbolic tangent function | tansig.prime |
