%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}