%global __brp_check_rpaths %{nil} %global packname imbalance %global packver 1.0.2.1 %global rlibdir /usr/local/lib/R/library Name: R-CRAN-%{packname} Version: 1.0.2.1 Release: 3%{?dist}%{?buildtag} Summary: Preprocessing Algorithms for Imbalanced Datasets License: GPL (>= 2) | file LICENSE URL: https://cran.r-project.org/package=%{packname} Source0: %{url}&version=%{packver}#/%{packname}_%{packver}.tar.gz BuildRequires: R-devel >= 3.3.0 Requires: R-core >= 3.3.0 BuildRequires: R-CRAN-bnlearn BuildRequires: R-CRAN-KernelKnn BuildRequires: R-CRAN-ggplot2 BuildRequires: R-utils BuildRequires: R-stats BuildRequires: R-CRAN-mvtnorm BuildRequires: R-CRAN-Rcpp BuildRequires: R-CRAN-smotefamily BuildRequires: R-CRAN-FNN BuildRequires: R-CRAN-C50 BuildRequires: R-CRAN-RcppArmadillo Requires: R-CRAN-bnlearn Requires: R-CRAN-KernelKnn Requires: R-CRAN-ggplot2 Requires: R-utils Requires: R-stats Requires: R-CRAN-mvtnorm Requires: R-CRAN-Rcpp Requires: R-CRAN-smotefamily Requires: R-CRAN-FNN Requires: R-CRAN-C50 %description Class imbalance usually damages the performance of classifiers. Thus, it is important to treat data before applying a classifier algorithm. This package includes recent resampling algorithms in the literature: (Barua et al. 2014) ; (Das et al. 2015) , (Zhang et al. 2014) ; (Gao et al. 2014) ; (Almogahed et al. 2014) . It also includes an useful interface to perform oversampling. %prep %setup -q -c -n %{packname} find -type f -executable -exec grep -Iq . {} \; -exec sed -i -e '$a\' {} \; %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 %files %{rlibdir}/%{packname}