LearnSL
Learn Supervised Classification Methods Through Examples and Code
Supervised classification methods, which (if asked) can provide step-by-step explanations of the algorithms used, as described in PK Josephine et. al., (2021) <doi:10.59176/kjcs.v1i1.1259>; and datasets to test them on, which highlight the strengths and weaknesses of each technique.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.0 |
rolling linux/jammy R-4.5 | LearnSL_1.0.0.tar.gz |
82.9 KiB |
1.0.0 |
rolling linux/noble R-4.5 | LearnSL_1.0.0.tar.gz |
82.4 KiB |
1.0.0 |
rolling source/ R- | LearnSL_1.0.0.tar.gz |
40.8 KiB |
1.0.0 |
latest linux/jammy R-4.5 | LearnSL_1.0.0.tar.gz |
82.9 KiB |
1.0.0 |
latest linux/noble R-4.5 | LearnSL_1.0.0.tar.gz |
82.4 KiB |
1.0.0 |
latest source/ R- | LearnSL_1.0.0.tar.gz |
40.8 KiB |
1.0.0 |
2026-04-26 source/ R- | LearnSL_1.0.0.tar.gz |
40.8 KiB |
1.0.0 |
2026-04-23 source/ R- | LearnSL_1.0.0.tar.gz |
40.8 KiB |
1.0.0 |
2026-04-09 windows/windows R-4.5 | LearnSL_1.0.0.zip |
86.3 KiB |
1.0.0 |
2025-04-20 source/ R- | LearnSL_1.0.0.tar.gz |
40.8 KiB |
Dependencies (latest)
Imports
- cli (>= 3.6.1)