Package: Rstg 0.0.1
Rstg: STG : Feature Selection using STochastic Gates
'STG' is a method for feature selection in neural network. The procedure is based on probabilistic relaxation of the l0 norm of features, or the count of the number of selected features. The framework simultaneously learns either a nonlinear regression or classification function while selecting a small subset of features. Read more: Yamada et al. (2020) <https://proceedings.mlr.press/v119/yamada20a.html>.
Authors:
Rstg_0.0.1.tar.gz
Rstg_0.0.1.zip(r-4.5)Rstg_0.0.1.zip(r-4.4)Rstg_0.0.1.zip(r-4.3)
Rstg_0.0.1.tgz(r-4.4-any)Rstg_0.0.1.tgz(r-4.3-any)
Rstg_0.0.1.tar.gz(r-4.5-noble)Rstg_0.0.1.tar.gz(r-4.4-noble)
Rstg_0.0.1.tgz(r-4.4-emscripten)Rstg_0.0.1.tgz(r-4.3-emscripten)
Rstg.pdf |Rstg.html✨
Rstg/json (API)
NEWS
| # Install 'Rstg' in R: |
| install.packages('Rstg', repos = c('https://runopti.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 3 years agofrom:7633af48d7. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 09 2024 |
| R-4.5-win | OK | Nov 09 2024 |
| R-4.5-linux | OK | Nov 09 2024 |
| R-4.4-win | OK | Nov 09 2024 |
| R-4.4-mac | OK | Nov 09 2024 |
| R-4.3-win | OK | Nov 09 2024 |
| R-4.3-mac | OK | Nov 09 2024 |
Exports:pystg_is_availablestg
Dependencies:herejsonlitelatticeMatrixpngrappdirsRcppRcppTOMLreticulaterlangrprojrootwithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Check whether STG Python package is available and can be loaded | pystg_is_available |
| STG: Feature Selection using Stochastic Gates | stg |
