| Name : R-DALEXtra
| |
| Version : 2.3.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.4
| Date : 2024-06-14 11:37:27
|
| Group : Development/Libraries/Other
| Source RPM : R-DALEXtra-2.3.0-lp153.1.4.src.rpm
|
| Size : 0.75 MB
| |
| Packager : (none)
| |
| Summary : Extension for \'DALEX\' Package
|
Description :
Provides wrapper of various 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, that are implemented in \'R\'. \'DALEXtra\'
creates \'DALEX\' Biecek (2018) < arXiv:1806.08915> explainer for many
type of models including those created using \'python\' \'scikit-learn\'
and \'keras\' libraries, and \'java\' \'h2o\' library. Important part of the
package is Champion-Challenger analysis and innovative approach to
model performance across subsets of test data presented in Funnel Plot.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
