| Name : R-PRIMAL
| |
| Version : 1.0.2
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp153.3.9
| Date : 2024-09-10 17:25:11
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| Group : Development/Libraries/Other
| Source RPM : R-PRIMAL-1.0.2-lp153.3.9.src.rpm
|
| Size : 0.40 MB
| |
| Packager : (none)
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| Summary : Parametric Simplex Method for Sparse Learning
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Description :
Implements a unified framework of parametric simplex method for a
variety of sparse learning problems (e.g., Dantzig selector (for linear
regression), sparse quantile regression, sparse support vector
machines, and compressive sensing) combined with efficient
hyper-parameter selection strategies. The core algorithm is implemented
in C++ with Eigen3 support for portable high performance linear
algebra. For more details about parametric simplex method, see Haotian
Pang (2017)
< https://papers.nips.cc/paper/6623-parametric-simplex-method-for-sparse-learning.pdf>.
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RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
