CRAN/E | Rstg

Rstg

STG

Installation

About

'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) .

Key Metrics

Version 0.0.1
Published 2021-12-13 918 days ago
Needs compilation? no
License MIT
License File
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Maintainer

Maintainer

Yutaro Yamada

Authors

Yutaro Yamada

aut / cre

Material

NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Imports

reticulate ≥ 1.4