| Name : R-customizedTraining
| |
| Version : 1.2
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.4.7
| Date : 2024-06-14 11:43:03
|
| Group : Development/Libraries/Other
| Source RPM : R-customizedTraining-1.2-lp153.4.7.src.rpm
|
| Size : 0.10 MB
| |
| Packager : (none)
| |
| Summary : Customized Training for Lasso and Elastic-Net Regularized Generalized Linear Models
|
Description :
Customized training is a simple technique for transductive learning,
when the test covariates are known at the time of training. The method
identifies a subset of the training set to serve as the training set
for each of a few identified subsets in the training set. This package
implements customized training for the glmnet() and cv.glmnet()
functions.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
