| Name : R-iml
| |
| Version : 0.11.3
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp154.2.1
| Date : 2024-06-08 01:02:18
|
| Group : Development/Libraries/Other
| Source RPM : R-iml-0.11.3-lp154.2.1.src.rpm
|
| Size : 0.81 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Interpretable Machine Learning
|
Description :
Interpretability methods to analyze the behavior and predictions of any
machine learning model. Implemented methods are: Feature importance
described by Fisher et al. (2018) < doi:10.48550/arxiv.1801.01489>,
accumulated local effects plots described by Apley (2018)
< doi:10.48550/arxiv.1612.08468>, partial dependence plots described by
Friedman (2001) < www.jstor.org/stable/2699986>, individual conditional
expectation (\'ice\') plots described by Goldstein et al. (2013)
< doi:10.1080/10618600.2014.907095>, local models (variant of \'lime\')
described by Ribeiro et. al (2016) < doi:10.48550/arXiv.1602.04938>, the
Shapley Value described by Strumbelj et. al (2014)
< doi:10.1007/s10115-013-0679-x>, feature interactions described by
Friedman et. al < doi:10.1214/07-AOAS148> and tree surrogate models.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.4/x86_64 |
