%global __brp_check_rpaths %{nil} %global packname bbl %global packver 1.0.0 %global rlibdir /usr/local/lib/R/library Name: R-CRAN-%{packname} Version: 1.0.0 Release: 1%{?dist}%{?buildtag} Summary: Boltzmann Bayes Learner License: GPL (>= 2) URL: https://cran.r-project.org/package=%{packname} Source0: %{url}&version=%{packver}#/%{packname}_%{packver}.tar.gz BuildRequires: gsl-devel BuildRequires: R-devel >= 3.6.0 Requires: R-core >= 3.6.0 BuildRequires: R-CRAN-Rcpp >= 0.12.16 BuildRequires: R-methods BuildRequires: R-stats BuildRequires: R-utils BuildRequires: R-CRAN-pROC BuildRequires: R-CRAN-RColorBrewer Requires: R-CRAN-Rcpp >= 0.12.16 Requires: R-methods Requires: R-stats Requires: R-utils Requires: R-CRAN-pROC Requires: R-CRAN-RColorBrewer %description Supervised learning using Boltzmann Bayes model inference, which extends naive Bayes model to include interactions. Enables classification of data into multiple response groups based on a large number of discrete predictors that can take factor values of heterogeneous levels. Either pseudo-likelihood or mean field inference can be used with L2 regularization, cross-validation, and prediction on new data. . %prep %setup -q -c -n %{packname} # fix end of executable files find -type f -executable -exec grep -Iq . {} \; -exec sed -i -e '$a\' {} \; # prevent binary stripping [ -d %{packname}/src ] && find %{packname}/src -type f -exec \ sed -i 's@/usr/bin/strip@/usr/bin/true@g' {} \; || true [ -d %{packname}/src ] && find %{packname}/src/Make* -type f -exec \ sed -i 's@-g0@@g' {} \; || true # don't allow local prefix in executable scripts find -type f -executable -exec sed -Ei 's@#!( )*/usr/local/bin@#!/usr/bin@g' {} \; %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 # remove buildroot from installed files find %{buildroot}%{rlibdir} -type f -exec sed -i "s@%{buildroot}@@g" {} \; %files %{rlibdir}/%{packname}