| Name : R-BOSO
| |
| Version : 1.0.4
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.2
| Date : 2024-06-14 10:57:33
|
| Group : Development/Libraries/Other
| Source RPM : R-BOSO-1.0.4-lp153.2.2.src.rpm
|
| Size : 3.34 MB
| |
| Packager : (none)
| |
| Summary : Bilevel Optimization Selector Operator
|
Description :
A novel feature selection algorithm for linear regression called BOSO
(Bilevel Optimization Selector Operator). The main contribution is the
use a bilevel optimization problem to select the variables in the
training problem that minimize the error in the validation set.
Preprint available: [Valcarcel, L. V., San Jose-Eneriz, E., Cendoya,
X., Rubio, A., Agirre, X., Prosper, F., & Planes, F. J. (2020). \"BOSO:
a novel feature selection algorithm for linear regression with
high-dimensional data.\" bioRxiv. < doi:10.1101/2020.11.18.388579>]. In
order to run the vignette, it is recommended to install the
\'bestsubset\' package, using the following command:
devtools::install_github(repo=\"ryantibs/best-subset\",
subdir=\"bestsubset\"). If you do not have gurobi, run
devtools::install_github(repo=\"lvalcarcel/best-subset\",
subdir=\"bestsubset\"). Moreover, to install cplexAPI you can check
< https://github.com/lvalcarcel/cplexAPI>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
