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:Yutaro Yamada [aut, cre]

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NEWS

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

Peer review:

On CRAN:

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

1.00 score 181 downloads 2 exports 12 dependencies

Last updated 3 years agofrom:7633af48d7. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 10 2024
R-4.5-winOKOct 10 2024
R-4.5-linuxOKOct 10 2024
R-4.4-winOKOct 10 2024
R-4.4-macOKOct 10 2024
R-4.3-winOKOct 10 2024
R-4.3-macOKOct 10 2024

Exports:pystg_is_availablestg

Dependencies:herejsonlitelatticeMatrixpngrappdirsRcppRcppTOMLreticulaterlangrprojrootwithr