| Name : R-neuralGAM
| |
| Version : 1.1.1
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.2
| Date : 2024-06-14 12:00:10
|
| Group : Development/Libraries/Other
| Source RPM : R-neuralGAM-1.1.1-lp153.2.2.src.rpm
|
| Size : 0.09 MB
| |
| Packager : (none)
| |
| Summary : Interpretable Neural Network Based on Generalized Additive Models
|
Description :
Neural network framework based on Generalized Additive Models from
Hastie & Tibshirani (1990, ISBN:9780412343902), which trains a
different neural network to estimate the contribution of each feature
to the response variable. The networks are trained independently
leveraging the local scoring and backfitting algorithms to ensure that
the Generalized Additive Model converges and it is additive. The
resultant Neural Network is a highly accurate and interpretable deep
learning model, which can be used for high-risk AI practices where
decision-making should be based on accountable and interpretable
algorithms.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
