%global __brp_check_rpaths %{nil}
%global __requires_exclude ^libmpi
%global packname  MLwrap
%global packver   0.1.0
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          0.1.0
Release:          1%{?dist}%{?buildtag}
Summary:          Machine Learning Modelling for Everyone

License:          GPL-3
URL:              https://cran.r-project.org/package=%{packname}
Source0:          %{url}&version=%{packver}#/%{packname}_%{packver}.tar.gz


BuildRequires:    R-devel >= 4.1.0
Requires:         R-core >= 4.1.0
BuildArch:        noarch
BuildRequires:    R-CRAN-R6 
BuildRequires:    R-CRAN-tidyr 
BuildRequires:    R-CRAN-magrittr 
BuildRequires:    R-methods 
BuildRequires:    R-CRAN-dials 
BuildRequires:    R-CRAN-parsnip 
BuildRequires:    R-CRAN-recipes 
BuildRequires:    R-CRAN-rsample 
BuildRequires:    R-CRAN-tune 
BuildRequires:    R-CRAN-workflows 
BuildRequires:    R-CRAN-yardstick 
BuildRequires:    R-CRAN-vip 
BuildRequires:    R-CRAN-glue 
BuildRequires:    R-CRAN-innsight 
BuildRequires:    R-CRAN-fastshap 
BuildRequires:    R-CRAN-DiagrammeR 
BuildRequires:    R-CRAN-ggbeeswarm 
BuildRequires:    R-CRAN-ggplot2 
BuildRequires:    R-CRAN-sensitivity 
BuildRequires:    R-CRAN-dplyr 
BuildRequires:    R-CRAN-rlang 
BuildRequires:    R-CRAN-tibble 
BuildRequires:    R-CRAN-patchwork 
BuildRequires:    R-CRAN-cli 
Requires:         R-CRAN-R6 
Requires:         R-CRAN-tidyr 
Requires:         R-CRAN-magrittr 
Requires:         R-methods 
Requires:         R-CRAN-dials 
Requires:         R-CRAN-parsnip 
Requires:         R-CRAN-recipes 
Requires:         R-CRAN-rsample 
Requires:         R-CRAN-tune 
Requires:         R-CRAN-workflows 
Requires:         R-CRAN-yardstick 
Requires:         R-CRAN-vip 
Requires:         R-CRAN-glue 
Requires:         R-CRAN-innsight 
Requires:         R-CRAN-fastshap 
Requires:         R-CRAN-DiagrammeR 
Requires:         R-CRAN-ggbeeswarm 
Requires:         R-CRAN-ggplot2 
Requires:         R-CRAN-sensitivity 
Requires:         R-CRAN-dplyr 
Requires:         R-CRAN-rlang 
Requires:         R-CRAN-tibble 
Requires:         R-CRAN-patchwork 
Requires:         R-CRAN-cli 

%description
A minimalistic library specifically designed to make the estimation of
Machine Learning (ML) techniques as easy and accessible as possible,
particularly within the framework of the Knowledge Discovery in Databases
(KDD) process in data mining. The package provides all the essential tools
needed to efficiently structure and execute each stage of a predictive or
classification modeling workflow, aligning closely with the fundamental
steps of the KDD methodology, from data selection and preparation, through
model building and tuning, to the interpretation and evaluation of results
using Sensitivity Analysis. The 'MLwrap' workflow is organized into four
core steps; preprocessing(), build_model(), fine_tuning(), and
sensitivity_analysis(). These steps correspond, respectively, to data
preparation and transformation, model construction, hyperparameter
optimization, and sensitivity analysis. The user can access comprehensive
model evaluation results including fit assessment metrics, plots,
predictions, and performance diagnostics for ML models implemented through
Neural Networks, Random Forest, XGBoost, and Support Vector Machines
algorithms. By streamlining these phases, 'MLwrap' aims to simplify the
implementation of ML techniques, allowing analysts and data scientists to
focus on extracting actionable insights and meaningful patterns from large
datasets, in line with the objectives of the KDD process. Inspired by
James et al. (2021) "An Introduction to Statistical Learning: with
Applications in R (2nd ed.)" <doi:10.1007/978-1-0716-1418-1> and Molnar
(2025) "Interpretable Machine Learning: A Guide for Making Black Box
Models Explainable (3rd ed.)"
<https://christophm.github.io/interpretable-ml-book/>.

%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}