Package: monmlp 1.1.5
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.tar.gz
monmlp_1.1.5.zip(r-4.5)monmlp_1.1.5.zip(r-4.4)monmlp_1.1.5.zip(r-4.3)
monmlp_1.1.5.tgz(r-4.4-any)monmlp_1.1.5.tgz(r-4.3-any)
monmlp_1.1.5.tar.gz(r-4.5-noble)monmlp_1.1.5.tar.gz(r-4.4-noble)
monmlp_1.1.5.tgz(r-4.4-emscripten)monmlp_1.1.5.tgz(r-4.3-emscripten)
monmlp.pdf |monmlp.html✨
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 7 years agofrom:3394813aef. Checks:OK: 5 NOTE: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 23 2024 |
| R-4.5-win | NOTE | Oct 23 2024 |
| R-4.5-linux | NOTE | Oct 23 2024 |
| R-4.4-win | OK | Oct 23 2024 |
| R-4.4-mac | OK | Oct 23 2024 |
| R-4.3-win | OK | Oct 23 2024 |
| R-4.3-mac | OK | Oct 23 2024 |
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 |
