diff --git a/README.md b/README.md
index 63c14e6..ca37de5 100644
--- a/README.md
+++ b/README.md
@@ -1,2 +1,6 @@
 # libsvm
 
+Libsvm is a simple, easy-to-use, and efficient software for SVM classification and regression.
+It solves C-SVM classification, nu-SVM classification, one-class-SVM, epsilon-SVM regression, and nu-SVM regression.
+It also provides an automatic model selection tool for C-SVM classification.
+
diff --git a/libsvm-3.20-Makefile.patch b/libsvm-3.20-Makefile.patch
new file mode 100644
index 0000000..235d85d
--- /dev/null
+++ b/libsvm-3.20-Makefile.patch
@@ -0,0 +1,47 @@
+--- libsvm-3.20/Makefile	2015-03-22 12:55:35.000000000 +0100
++++ libsvm-3.20/Makefile.linux	2015-03-22 14:00:24.234436503 +0100
+@@ -1,25 +1,28 @@
+ CXX ?= g++
+-CFLAGS = -Wall -Wconversion -O3 -fPIC
++MAKE = make
++CFLAGS_ADD = -Wall -Wconversion -O3 -fPIC
+ SHVER = 2
+-OS = $(shell uname)
++SHARED_LIB_FLAGS= -shared -Wl,-soname,liblinear.so.$(SHVER)
++LIBS= -L. -lsvm
+ 
+ all: svm-train svm-predict svm-scale
+ 
+ lib: svm.o
+-	if [ "$(OS)" = "Darwin" ]; then \
+-		SHARED_LIB_FLAG="-dynamiclib -Wl,-install_name,libsvm.so.$(SHVER)"; \
+-	else \
+-		SHARED_LIB_FLAG="-shared -Wl,-soname,libsvm.so.$(SHVER)"; \
+-	fi; \
+-	$(CXX) $${SHARED_LIB_FLAG} svm.o -o libsvm.so.$(SHVER)
+-
+-svm-predict: svm-predict.c svm.o
+-	$(CXX) $(CFLAGS) svm-predict.c svm.o -o svm-predict -lm
+-svm-train: svm-train.c svm.o
+-	$(CXX) $(CFLAGS) svm-train.c svm.o -o svm-train -lm
++	$(CXX) $(SHARED_LIB_FLAGS) $(LDFLAGS) svm.o -o libsvm.so.$(SHVER)
++	ln -fs libsvm.so.$(SHVER) libsvm.so
++
++svm-predict: lib svm-predict.c
++	$(CXX) $(CFLAGS_ADD) svm-predict.c $(LIBS) -o svm-predict -lm
++
++svm-train: lib svm-train.c
++	$(CXX) $(CFLAGS_ADD) svm-train.c $(LIBS) -o svm-train -lm
++
+ svm-scale: svm-scale.c
+-	$(CXX) $(CFLAGS) svm-scale.c -o svm-scale
++	$(CXX) $(CFLAGS_ADD) svm-scale.c -o svm-scale
++
+ svm.o: svm.cpp svm.h
+-	$(CXX) $(CFLAGS) -c svm.cpp
++	$(CXX) $(CFLAGS_ADD) $(CFLAGS) -c -o svm.o svm.cpp
++
+ clean:
+-	rm -f *~ svm.o svm-train svm-predict svm-scale libsvm.so.$(SHVER)
++	rm -f *~ svm.o svm-train svm-predict svm-scale libsvm.so*
++	${MAKE} -C python clean
diff --git a/libsvm.spec b/libsvm.spec
new file mode 100644
index 0000000..a43b6a1
--- /dev/null
+++ b/libsvm.spec
@@ -0,0 +1,128 @@
+Name:          libsvm
+Version:       3.24
+Release:       1mamba
+Summary:       A simple, easy-to-use, and efficient software for SVM classification and regression
+Group:         Development/Libraries
+Vendor:        openmamba
+Distribution:  openmamba
+Packager:      Davide Madrisan <davide.madrisan@gmail.com>
+URL:           https://www.csie.ntu.edu.tw/~cjlin/libsvm
+## GITSOURCE https://github.com/cjlin1/libsvm.git v320
+Source:        https://github.com/cjlin1/libsvm.git/v320/libsvm-%{version}.tar.bz2
+Patch0:        libsvm-3.20-Makefile.patch
+License:       BSD
+## AUTOBUILDREQ-BEGIN
+BuildRequires: glibc-devel
+BuildRequires: libgcc
+#BuildRequires: libpython-devel
+BuildRequires: libstdc++6-devel
+## AUTOBUILDREQ-END
+BuildRequires: gcc-c++
+BuildRoot:     %{_tmppath}/%{name}-%{version}-root
+
+# FIXME
+# build the java bindings, svm-toy-gtk, and svm-toy-qt
+
+%description
+Libsvm is a simple, easy-to-use, and efficient software for SVM classification and regression.
+It solves C-SVM classification, nu-SVM classification, one-class-SVM, epsilon-SVM regression, and nu-SVM regression.
+It also provides an automatic model selection tool for C-SVM classification.
+
+%package devel
+Group:         Development/Libraries
+Summary:       Development files for %{name}
+Requires:      %{name} = %{?epoch:%epoch:}%{version}-%{release}
+Requires:      pkg-config
+
+%description devel
+This package contains libraries and header files for developing applications that use %{name}.
+
+%package -n python-%{name}
+Group:         Development/Libraries/Python
+Summary:       Python bindings for %{name}
+Requires:      %{name} = %{?epoch:%epoch:}%{version}-%{release}
+Requires:      python
+
+%description -n python-%{name}
+%{summary}.
+
+%prep
+%setup -q
+%patch0 -p1
+
+# add pkg-config file
+cat << _EOF >> %{name}.pc
+Name: %{name}
+Description: Library for SVM classification and regression
+URL: %{url}
+Version: 3.24
+
+prefix=%{_prefix}
+includedir=%{_includedir}
+
+Cflags: -I\${includedir}/libsvm
+Libs: -lsvm
+_EOF
+
+%build
+CFLAGS="%optflags -O3"; export CFLAGS
+%make all 
+
+python -m compileall -l python
+python -m compileall -l tools
+
+%install
+[ "%{buildroot}" != / ] && rm -rf "%{buildroot}"
+
+mkdir -p %{buildroot}%{_bindir}
+install -m 0755 svm-train %{buildroot}%{_bindir}/
+install -m 0755 svm-predict %{buildroot}%{_bindir}/
+install -m 0755 svm-scale %{buildroot}%{_bindir}/
+
+mkdir -p %{buildroot}%{_libdir}
+install libsvm.so* %{buildroot}%{_libdir}/
+mkdir -p %{buildroot}%{_libdir}/pkgconfig
+install -m 0644 %{name}.pc %{buildroot}%{_libdir}/pkgconfig/
+
+mkdir -p %{buildroot}%{_includedir}/%{name}
+install -m 0644 svm.h %{buildroot}%{_includedir}/%{name}/
+
+mkdir -p %{buildroot}%{python_sitearch}/%{name}
+install -m 0644 python/*.py* tools/*.py* %{buildroot}%{python_sitearch}/%{name}/
+> %{buildroot}%{python_sitearch}/%{name}/__init__.py
+
+for f in python/*.py tools/*.py; do
+   ln -s %{python_sitearch}/%{name}/${f/*\/} %{buildroot}%{_bindir}/svm-${f/*\/}
+done
+
+%clean
+[ "%{buildroot}" != / ] && rm -rf "%{buildroot}"
+
+%post -p /sbin/ldconfig
+%postun -p /sbin/ldconfig
+
+%files
+%defattr(-,root,root)
+%{_bindir}/svm-predict
+%{_bindir}/svm-scale
+%{_bindir}/svm-train
+%{_libdir}/*.so.*
+
+%files devel
+%defattr(-,root,root)
+%{_includedir}/%{name}
+%{_libdir}/*.so
+%{_libdir}/pkgconfig/*.pc
+%doc README
+
+%files -n python-%{name}
+%defattr(-,root,root)
+%{_bindir}/svm-*.py
+%{python_sitearch}/%{name}
+
+%changelog
+* Tue Feb 09 2021 Automatic Build System <autodist@mambasoft.it> 3.24-1mamba
+- automatic version update by autodist
+
+* Sun Mar 22 2015 Davide Madrisan <davide.madrisan@gmail.com> 3.20-1mamba
+- package created by autospec