| Name : R-stackgbm
| |
| Version : 0.1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.2
| Date : 2024-06-14 11:48:02
|
| Group : Development/Libraries/Other
| Source RPM : R-stackgbm-0.1.0-lp153.2.2.src.rpm
|
| Size : 0.83 MB
| |
| Packager : (none)
| |
| Summary : Stacked Gradient Boosting Machines
|
Description :
A minimalist implementation of model stacking by Wolpert (1992)
< doi:10.1016/S0893-6080(05)80023-1> for boosted tree models. A classic,
two-layer stacking model is implemented, where the first layer
generates features using gradient boosting trees, and the second layer
employs a logistic regression model that uses these features as inputs.
Utilities for training the base models and parameters tuning are
provided, allowing users to experiment with different ensemble
configurations easily. It aims to provide a simple and efficient way to
combine multiple gradient boosting models to improve predictive model
performance and robustness.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
