Group :: Engineering
RPM: auto-nng
Main Changelog Spec Patches Sources Download Gear Bugs and FR Repocop
Name: auto-nng
Version: 1.7
Release: alt2_3.1
Summary: A software for analysis and classification of data, using AI NN
Group: Engineering
License: MIT
URL: http://www.public-software-group.org/auto-nng
Source0: http://www.public-software-group.org/pub/projects/auto-nng/v%{version}/%{name}.v%{version}.tar.gz
Patch0: %{name}-cflags.patch
BuildRequires: ruby ruby-stdlibs
Source44: import.info
%description
auto-nng is a software for analysis and classification of data, using
artificial neuronal networks.
You can feed an amount of datasets consisting of certain input and output
parameters into the program, to make it try to find a mathematical correlation
between the input and output parameters. Afterwards the program tries to
calculate the output parameters for datasets which only have known input
parameters.
%prep
%setup -q -n %{name}.v%{version}
# patch0: Not sent upstream, as it is buildsystem related.
%patch0 -p1 -b .cflags
%build
make %{?_smp_mflags} CFLAGS="%{optflags}"
%check
# Test takes at max 3 minutes so do not wonder.
make test
%install
mkdir -p %{buildroot}/%{_bindir}/
install auto-nng %{buildroot}/%{_bindir}/
%files
%doc LICENSE README
%{_bindir}/*
%changelog
…
Full changelog you can see here
Version: 1.7
Release: alt2_3.1
Summary: A software for analysis and classification of data, using AI NN
Group: Engineering
License: MIT
URL: http://www.public-software-group.org/auto-nng
Source0: http://www.public-software-group.org/pub/projects/auto-nng/v%{version}/%{name}.v%{version}.tar.gz
Patch0: %{name}-cflags.patch
BuildRequires: ruby ruby-stdlibs
Source44: import.info
%description
auto-nng is a software for analysis and classification of data, using
artificial neuronal networks.
You can feed an amount of datasets consisting of certain input and output
parameters into the program, to make it try to find a mathematical correlation
between the input and output parameters. Afterwards the program tries to
calculate the output parameters for datasets which only have known input
parameters.
%prep
%setup -q -n %{name}.v%{version}
# patch0: Not sent upstream, as it is buildsystem related.
%patch0 -p1 -b .cflags
%build
make %{?_smp_mflags} CFLAGS="%{optflags}"
%check
# Test takes at max 3 minutes so do not wonder.
make test
%install
mkdir -p %{buildroot}/%{_bindir}/
install auto-nng %{buildroot}/%{_bindir}/
%files
%doc LICENSE README
%{_bindir}/*
%changelog
…
Full changelog you can see here