%global __brp_check_rpaths %{nil} %global __requires_exclude ^libmpi %global packname modeltime.ensemble %global packver 1.0.4 %global rlibdir /usr/local/lib/R/library Name: R-CRAN-%{packname} Version: 1.0.4 Release: 1%{?dist}%{?buildtag} Summary: Ensemble Algorithms for Time Series Forecasting with Modeltime License: MIT + file LICENSE URL: https://cran.r-project.org/package=%{packname} Source0: %{url}&version=%{packver}#/%{packname}_%{packver}.tar.gz BuildRequires: R-devel >= 3.5 Requires: R-core >= 3.5 BuildArch: noarch BuildRequires: R-CRAN-timetk >= 2.5.0 BuildRequires: R-CRAN-modeltime >= 1.2.3 BuildRequires: R-CRAN-dplyr >= 1.0.0 BuildRequires: R-CRAN-modeltime.resample >= 0.2.1 BuildRequires: R-CRAN-workflows >= 0.2.1 BuildRequires: R-CRAN-tune >= 0.1.2 BuildRequires: R-CRAN-rlang >= 0.1.2 BuildRequires: R-CRAN-recipes >= 0.1.15 BuildRequires: R-CRAN-rsample BuildRequires: R-CRAN-yardstick BuildRequires: R-CRAN-tibble BuildRequires: R-CRAN-tidyr BuildRequires: R-CRAN-purrr BuildRequires: R-CRAN-stringr BuildRequires: R-CRAN-cli BuildRequires: R-CRAN-generics BuildRequires: R-CRAN-magrittr BuildRequires: R-CRAN-tictoc BuildRequires: R-parallel BuildRequires: R-CRAN-doParallel BuildRequires: R-CRAN-foreach BuildRequires: R-CRAN-glmnet Requires: R-CRAN-timetk >= 2.5.0 Requires: R-CRAN-modeltime >= 1.2.3 Requires: R-CRAN-dplyr >= 1.0.0 Requires: R-CRAN-modeltime.resample >= 0.2.1 Requires: R-CRAN-workflows >= 0.2.1 Requires: R-CRAN-tune >= 0.1.2 Requires: R-CRAN-rlang >= 0.1.2 Requires: R-CRAN-recipes >= 0.1.15 Requires: R-CRAN-rsample Requires: R-CRAN-yardstick Requires: R-CRAN-tibble Requires: R-CRAN-tidyr Requires: R-CRAN-purrr Requires: R-CRAN-stringr Requires: R-CRAN-cli Requires: R-CRAN-generics Requires: R-CRAN-magrittr Requires: R-CRAN-tictoc Requires: R-parallel Requires: R-CRAN-doParallel Requires: R-CRAN-foreach Requires: R-CRAN-glmnet %description A 'modeltime' extension that implements time series ensemble forecasting methods including model averaging, weighted averaging, and stacking. These techniques are popular methods to improve forecast accuracy and stability. %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}