R-PUlasso (R/R-PUlasso) Updated: 5 months ago Add to my watchlist
High-dimensional variable selection with presence-only dataEfficient algorithm for solving PU (Positive and Unlabeled) problem in low or high dimensional setting with lasso or group lasso penalty. The algorithm uses Maximization-Minorization and (block) coordinate descent. Sparse calculation and parallel computing are supported for the computational speed-up.
Version: 3.2.5 License: GPL-2 GitHubStatistics for selected duration
2024-Apr-29 to 2024-May-29
Total Installations | 1 |
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Requested Installations | 1 |
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