File R-explainer.spec of Package R-explainer

# Automatically generated by CRAN2OBS
# 
# Spec file for package explainer 
# This file is auto-generated using information in the package source, 
# esp. Description and Summary. Improvements in that area should be 
# discussed with upstream. 
# 
# Copyright (c) 2025 SUSE LINUX GmbH, Nuernberg, Germany. 
# 
# All modifications and additions to the file contributed by third parties 
# remain the property of their copyright owners, unless otherwise agreed 
# upon. The license for this file, and modifications and additions to the 
# file, is the same license as for the pristine package itself (unless the 
# license for the pristine package is not an Open Source License, in which 
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# license that conforms to the Open Source Definition (Version 1.9) 
# published by the Open Source Initiative. 
#  
# Please submit bugfixes or comments via http://bugs.opensuse.org/ 
# 
 
%global packname  explainer 
%global rlibdir   %{_libdir}/R/library 
 
Name:           R-%{packname} 
Version:        1.0.2 
Release:        0 
Summary:        Machine Learning Model Explainer 
Group:          Development/Libraries/Other 
License:        MIT + file LICENSE 
URL:            http://cran.r-project.org/web/packages/%{packname} 
Source:         explainer_1.0.2.tar.gz 
Requires:       R-base 
Requires:	R-cvms
Requires:	R-data.table
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Requires:	R-checkmate
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Requires:	R-rbibutils
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Requires:	R-modelr
Requires:	R-microbenchmark
Requires:	R-future.apply
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# %%if 0%%{?sle_version} > 120400 || 0%%{?is_opensuse} 
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Suggests:	R-cowplot
Suggests:	R-mlr3
Suggests:	R-mlr3learners
Suggests:	R-knitr
Suggests:	R-broom
Suggests:	R-iml
Suggests:	R-forcats
Suggests:	R-mlr3viz
Suggests:	R-plotROC
Suggests:	R-psych
Suggests:	R-reshape2
Suggests:	R-remotes
Suggests:	R-mlbench
Suggests:	R-ranger
Suggests:	R-precrec
Suggests:	R-rmarkdown
%description 
It enables detailed interpretation of complex classification and 
regression models through Shapley analysis including data-driven 
characterization of subgroups of individuals. Furthermore, it 
facilitates multi-measure model evaluation, model fairness, and 
decision curve analysis. Additionally, it offers enhanced 
visualizations with interactive elements. 
 
%prep 
%setup -q -c -n %{packname} 
# the next line is needed, because we build without --clean in between two packages 
rm -rf ~/.R  
 
 
%build 
 
%install 
mkdir -p %{buildroot}%{rlibdir} 
%{_bindir}/R CMD INSTALL -l %{buildroot}%{rlibdir} %{packname} 
test -d %{packname}/src && (cd %{packname}/src; rm -f *.o *.so) 
rm -f %{buildroot}%{rlibdir}/R.css 
%fdupes -s %{buildroot}%{rlibdir} 
 
#%%check 
#%%{_bindir}/R CMD check %%{packname} 
 
%files 
%dir %{rlibdir}/%{packname} 
%{rlibdir}/%{packname}/CITATION
%doc %{rlibdir}/%{packname}/DESCRIPTION
%{rlibdir}/%{packname}/INDEX
%license %{rlibdir}/%{packname}/LICENSE
%{rlibdir}/%{packname}/Meta
%{rlibdir}/%{packname}/NAMESPACE
%{rlibdir}/%{packname}/R
%{rlibdir}/%{packname}/doc
%doc %{rlibdir}/%{packname}/help
%doc %{rlibdir}/%{packname}/html
 
%changelog