r-l0learn
Highly optimized toolkit for approximately solving L0-regularized learning problems (a.k.a. best subset selection). The algorithms are based on coordinate descent and local combinatorial search.
Highly optimized toolkit for approximately solving L0-regularized learning problems (a.k.a. best subset selection). The algorithms are based on coordinate descent and local combinatorial search.
| Name | Type | Version | Platform | Labels | Updated | Size | Downloads | Actions |
|---|
osx-arm64/r-l0learn-2.1.0-hb62e91c_0.conda | conda | 2.1.0 | osx-arm64 | main | Oct 7, 2025, 10:38 PM | 1.22 MB | 4 | |
osx-arm64/r-l0learn-2.1.0-h78addfa_0.conda | conda | 2.1.0 | osx-arm64 | main | Oct 7, 2025, 10:38 PM | 1.22 MB | 183 | |
linux-64/r-l0learn-2.1.0-hd4a28a3_0.conda | conda | 2.1.0 | linux-64 | main | Oct 7, 2025, 10:24 PM | 1.27 MB | 102 | |
linux-64/r-l0learn-2.1.0-h213554b_0.conda | conda | 2.1.0 | linux-64 | main | Oct 7, 2025, 10:24 PM | 1.27 MB | 298 |