| Name : R-xrf
| |
| Version : 0.2.2
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp155.6.1
| Date : 2024-06-08 03:00:09
|
| Group : Development/Libraries/Other
| Source RPM : R-xrf-0.2.2-lp155.6.1.src.rpm
|
| Size : 0.07 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : eXtreme RuleFit
|
Description :
An implementation of the RuleFit algorithm as described in Friedman &
Popescu (2008) < doi:10.1214/07-AOAS148>. eXtreme Gradient Boosting
(\'XGBoost\') is used to build rules, and \'glmnet\' is used to fit a
sparse linear model on the raw and rule features. The result is a model
that learns similarly to a tree ensemble, while often offering improved
interpretability and achieving improved scoring runtime in live
applications. Several algorithms for reducing rule complexity are
provided, most notably hyperrectangle de-overlapping. All algorithms
scale to several million rows and support sparse representations to
handle tens of thousands of dimensions.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.5/x86_64 |
