%global __brp_check_rpaths %{nil}
%global __requires_exclude ^libmpi
%global packname  ale
%global packver   0.5.0
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          0.5.0
Release:          1%{?dist}%{?buildtag}
Summary:          Interpretable Machine Learning and Statistical Inference with Accumulated Local Effects (ALE)

License:          MIT + file LICENSE
URL:              https://cran.r-project.org/package=%{packname}
Source0:          %{url}&version=%{packver}#/%{packname}_%{packver}.tar.gz


BuildRequires:    R-devel >= 4.2.0
Requires:         R-core >= 4.2.0
BuildArch:        noarch
BuildRequires:    R-CRAN-broom 
BuildRequires:    R-CRAN-cli 
BuildRequires:    R-CRAN-dplyr 
BuildRequires:    R-CRAN-furrr 
BuildRequires:    R-CRAN-future 
BuildRequires:    R-CRAN-ggplot2 
BuildRequires:    R-CRAN-insight 
BuildRequires:    R-methods 
BuildRequires:    R-CRAN-patchwork 
BuildRequires:    R-CRAN-progressr 
BuildRequires:    R-CRAN-purrr 
BuildRequires:    R-CRAN-rlang 
BuildRequires:    R-CRAN-S7 
BuildRequires:    R-CRAN-staccuracy 
BuildRequires:    R-stats 
BuildRequires:    R-CRAN-stringr 
BuildRequires:    R-CRAN-tidyr 
BuildRequires:    R-CRAN-univariateML 
BuildRequires:    R-utils 
Requires:         R-CRAN-broom 
Requires:         R-CRAN-cli 
Requires:         R-CRAN-dplyr 
Requires:         R-CRAN-furrr 
Requires:         R-CRAN-future 
Requires:         R-CRAN-ggplot2 
Requires:         R-CRAN-insight 
Requires:         R-methods 
Requires:         R-CRAN-patchwork 
Requires:         R-CRAN-progressr 
Requires:         R-CRAN-purrr 
Requires:         R-CRAN-rlang 
Requires:         R-CRAN-S7 
Requires:         R-CRAN-staccuracy 
Requires:         R-stats 
Requires:         R-CRAN-stringr 
Requires:         R-CRAN-tidyr 
Requires:         R-CRAN-univariateML 
Requires:         R-utils 

%description
Accumulated Local Effects (ALE) were initially developed as a
model-agnostic approach for global explanations of the results of
black-box machine learning algorithms. ALE has a key advantage over other
approaches like partial dependency plots (PDP) and SHapley Additive
exPlanations (SHAP): its values represent a clean functional decomposition
of the model. As such, ALE values are not affected by the presence or
absence of interactions among variables in a mode. Moreover, its
computation is relatively rapid. This package reimplements the algorithms
for calculating ALE data and develops highly interpretable visualizations
for plotting these ALE values. It also extends the original ALE concept to
add bootstrap-based confidence intervals and ALE-based statistics that can
be used for statistical inference. For more details, see Okoli, Chitu.
2023. “Statistical Inference Using Machine Learning and Classical
Techniques Based on Accumulated Local Effects (ALE).” arXiv.
<doi:10.48550/arXiv.2310.09877>.

%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}