| Name : R-shapper
| |
| Version : 0.1.3
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.17.5
| Date : 2024-06-14 12:09:34
|
| Group : Development/Libraries/Other
| Source RPM : R-shapper-0.1.3-lp153.17.5.src.rpm
|
| Size : 0.11 MB
| |
| Packager : (none)
| |
| Summary : Wrapper of Python Library \'shap\'
|
Description :
Provides SHAP explanations of machine learning models. In applied
machine learning, there is a strong belief that we need to strike a
balance between interpretability and accuracy. However, in field of the
Interpretable Machine Learning, there are more and more new ideas for
explaining black-box models. One of the best known method for local
explanations is SHapley Additive exPlanations (SHAP) introduced by
Lundberg, S., et al., (2016) < arXiv:1705.07874> The SHAP method is used
to calculate influences of variables on the particular observation.
This method is based on Shapley values, a technique used in game
theory. The R package \'shapper\' is a port of the Python library \'shap\'.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
