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Rstg  

STG : Feature Selection using STochastic Gates
View on CRAN: Click here


Download and install Rstg package within the R console
Install from CRAN:
install.packages("Rstg")

Install from Github:
library("remotes")
install_github("cran/Rstg")

Install by package version:
library("remotes")
install_version("Rstg", "0.0.1")



Attach the package and use:
library("Rstg")
Maintained by
Yutaro Yamada
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-12-13
Latest Update: 2021-12-13
Description:
'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>.
How to cite:
Yutaro Yamada (2021). Rstg: STG : Feature Selection using STochastic Gates. R package version 0.0.1, https://cran.r-project.org/web/packages/Rstg
Previous versions and publish date:
No previous versions
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View Rstg citation profile
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Functions, R codes and Examples using the Rstg R package
Some associated functions: pystg_is_available . stg . 
Some associated R codes: stg.R . utils.R .  Full Rstg package functions and examples
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