%global __brp_check_rpaths %{nil} %global __requires_exclude ^libmpi %global packname flowml %global packver 0.1.3 %global rlibdir /usr/local/lib/R/library Name: R-CRAN-%{packname} Version: 0.1.3 Release: 1%{?dist}%{?buildtag} Summary: A Backend for a 'nextflow' Pipeline that Performs Machine-Learning-Based Modeling of Biomedical Data License: GPL (>= 3) URL: https://cran.r-project.org/package=%{packname} Source0: %{url}&version=%{packver}#/%{packname}_%{packver}.tar.gz BuildRequires: R-devel >= 3.5.0 Requires: R-core >= 3.5.0 BuildArch: noarch BuildRequires: R-CRAN-ABCanalysis BuildRequires: R-CRAN-caret BuildRequires: R-CRAN-data.table BuildRequires: R-CRAN-dplyr BuildRequires: R-CRAN-fastshap BuildRequires: R-CRAN-furrr BuildRequires: R-CRAN-future BuildRequires: R-CRAN-magrittr BuildRequires: R-CRAN-optparse BuildRequires: R-parallel BuildRequires: R-CRAN-purrr BuildRequires: R-CRAN-R6 BuildRequires: R-CRAN-readr BuildRequires: R-CRAN-rjson BuildRequires: R-CRAN-rlang BuildRequires: R-CRAN-rsample BuildRequires: R-stats BuildRequires: R-CRAN-stringr BuildRequires: R-CRAN-tibble BuildRequires: R-CRAN-tidyr BuildRequires: R-utils BuildRequires: R-CRAN-vip Requires: R-CRAN-ABCanalysis Requires: R-CRAN-caret Requires: R-CRAN-data.table Requires: R-CRAN-dplyr Requires: R-CRAN-fastshap Requires: R-CRAN-furrr Requires: R-CRAN-future Requires: R-CRAN-magrittr Requires: R-CRAN-optparse Requires: R-parallel Requires: R-CRAN-purrr Requires: R-CRAN-R6 Requires: R-CRAN-readr Requires: R-CRAN-rjson Requires: R-CRAN-rlang Requires: R-CRAN-rsample Requires: R-stats Requires: R-CRAN-stringr Requires: R-CRAN-tibble Requires: R-CRAN-tidyr Requires: R-utils Requires: R-CRAN-vip %description Provides functionality to perform machine-learning-based modeling in a computation pipeline. Its functions contain the basic steps of machine-learning-based knowledge discovery workflows, including model training and optimization, model evaluation, and model testing. To perform these tasks, the package builds heavily on existing machine-learning packages, such as 'caret' and associated packages. The package can train multiple models, optimize model hyperparameters by performing a grid search or a random search, and evaluates model performance by different metrics. Models can be validated either on a test data set, or in case of a small sample size by k-fold cross validation or repeated bootstrapping. It also allows for 0-Hypotheses generation by performing permutation experiments. Additionally, it offers methods of model interpretation and item categorization to identify the most informative features from a high dimensional data space. The functions of this package can easily be integrated into computation pipelines (e.g. 'nextflow' ) and hereby improve scalability, standardization, and re-producibility in the context of machine-learning. %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}