%define pkg_name Algorithm-NaiveBayes %define pkg_version 0.04 %define rpm_pkg_version 0.04 %define rpm_pkg_release 1.n0i.3 Summary: Bayesian prediction of categories Name: perl-%{pkg_name} Version: %{rpm_pkg_version} Release: %{rpm_pkg_release}%{?cpan_version}%{?dist} Group: Development/Libraries License: Artistic URL: http://search.cpan.org/dist/%{pkg_name}/ Source0: http://www.cpan.org/authors/id/K/KW/KWILLIAMS/%{pkg_name}-%{pkg_version}.tar.gz BuildArch: noarch BuildRoot: %{_tmppath}/%{name}-%{version}-%{release}-root-%(%{__id_u} -n) BuildRequires: reb00t-rpmdevtools BuildRequires: perl(Module::Build) %{!?_without_test:BuildRequires: perl(List::Util)} %description This module implements the classic "Naive Bayes" machine learning algorithm. It is a well-studied probabilistic algorithm often used in automatic text categorization. Compared to other algorithms (kNN, SVM, Decision Trees), it's pretty fast and reasonably competitive in the quality of its results. %prep %setup -q -n %{pkg_name}-%{pkg_version} [ -f Makefile.PL ] || cat < Makefile.PL use Module::Build::Compat; Module::Build::Compat->run_build_pl(args => \@ARGV); Module::Build::Compat->write_makefile(); EOF %build %{perl_build} %{!?_without_test:%{__make} test} %install %{__rm} -rf $RPM_BUILD_ROOT %{perl_install} %clean %{__rm} -rf $RPM_BUILD_ROOT %files %defattr(-,root,root,-) %{perl_files} %doc Changes %changelog * Wed Aug 01 2007 Marius Feraru - 0.04-1.n0i.3 - version 0.04 * Tue May 22 2007 Marius Feraru - 0.03-4.n0i.2 - spec file (re)created using N0i::CPAN::RPMizer v1.14.7 - rebuild on perl 5.8.8 * Sat Jul 23 2005 Marius Feraru 0.03-3.n0i.1 - spec file (re)created using N0i::CPAN::RPMizer/1.01 - rebuild on perl 5.8.7