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.
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2.1.0
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Summary
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.
Last Updated
Oct 7, 2025 at 22:23
License
MIT
Total Downloads
588
Supported Platforms
linux-64
macOS-arm64