| Name : R-swag
| |
| Version : 0.1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp155.28.1
| Date : 2024-07-04 12:16:42
|
| Group : Development/Libraries/Other
| Source RPM : R-swag-0.1.0-lp155.28.1.src.rpm
|
| Size : 0.12 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Sparse Wrapper Algorithm
|
Description :
An algorithm that trains a meta-learning procedure that combines
screening and wrapper methods to find a set of extremely
low-dimensional attribute combinations. This package works on top of
the \'caret\' package and proceeds in a forward-step manner. More
specifically, it builds and tests learners starting from very few
attributes until it includes a maximal number of attributes by
increasing the number of attributes at each step. Hence, for each fixed
number of attributes, the algorithm tests various (randomly selected)
learners and picks those with the best performance in terms of training
error. Throughout, the algorithm uses the information coming from the
best learners at the previous step to build and test learners in the
following step. In the end, it outputs a set of strong low-dimensional
learners.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.5/x86_64 |
