%global packname  tree.interpreter
%global packver   0.1.1
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          0.1.1
Release:          2%{?dist}
Summary:          Random Forest Prediction Decomposition and Feature ImportanceMeasure

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


BuildRequires:    R-devel
Requires:         R-core
BuildRequires:    R-CRAN-Rcpp >= 1.0.2
BuildRequires:    R-CRAN-RcppArmadillo 
Requires:         R-CRAN-Rcpp >= 1.0.2

%description
An R re-implementation of the 'treeinterpreter' package on PyPI
<https://pypi.org/project/treeinterpreter/>. Each prediction can be
decomposed as 'prediction = bias + feature_1_contribution + ... +
feature_n_contribution'. This decomposition is then used to calculate the
Mean Decrease Impurity (MDI) and Mean Decrease Impurity using out-of-bag
samples (MDI-oob) feature importance measures based on the work of Li et
al. (2019) <arXiv:1906.10845>.

%prep
%setup -q -c -n %{packname}


%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
%dir %{rlibdir}/%{packname}
%doc %{rlibdir}/%{packname}/html
%{rlibdir}/%{packname}/Meta
%{rlibdir}/%{packname}/help
%{rlibdir}/%{packname}/DESCRIPTION
%license %{rlibdir}/%{packname}/LICENSE
%{rlibdir}/%{packname}/NAMESPACE
%doc %{rlibdir}/%{packname}/NEWS.md
%{rlibdir}/%{packname}/R
%doc %{rlibdir}/%{packname}/CITATION
%doc %{rlibdir}/%{packname}/doc
%{rlibdir}/%{packname}/INDEX
%{rlibdir}/%{packname}/libs