s2net
1.0.7The Generalized Semi-Supervised Elastic-Net
Overview
Implements the generalized semi-supervised elastic-net. This method extends the supervised elastic-net problem, and thus it is a practical solution to the problem of feature selection in semi-supervised contexts. Its mathematical formulation is presented from a general perspective, covering a wide range of models. We focus on linear and logistic responses, but the implementation could be easily extended to other losses in generalized linear models. We develop a flexible and fast implementation, written in 'C++' using 'RcppArmadillo' and integrated into R via 'Rcpp' modules. See Culp, M. 2013 doi:10.1080/10618600.2012.657139 for references on the Joint Trained Elastic-Net.
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Health
- OK2026-08-0413 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-04-2214 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-04-1813 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
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- Return-value docs
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- References docs
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Dependencies
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Code & Tests
People & History
4 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 1.0.7Latest
- RR 4.3.0 released · 2023-04-21
- 1.0.42022-06-30 · diff ↗
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- 1.0.12020-01-16 · diff ↗
- 1.02020-01-13
- RR 3.6.0 released · 2019-04-26
Package metadata
- First published
- 2020-01-13
- Total releases
- 4 / 6 yrs
- License
- GPL (>= 2) OSI
- Bundled data
- 8.0 KB / 1 file
- Download size
- 178 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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