initial package
OBS-URL: https://build.opensuse.org/package/show/devel:languages:perl/perl-Algorithm-NaiveBayes?expand=0&rev=1
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## Default LFS
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Algorithm-NaiveBayes-0.04.tar.gz
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Algorithm-NaiveBayes-0.04.tar.gz
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version https://git-lfs.github.com/spec/v1
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oid sha256:fd769448ec977a3626a135b02e0d5fcd41de2d9d14ade0632194d1ad801eeccd
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size 7997
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perl-Algorithm-NaiveBayes.changes
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perl-Algorithm-NaiveBayes.changes
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-------------------------------------------------------------------
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Thu Apr 14 07:40:09 UTC 2011 - coolo@opensuse.org
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- initial package 0.04
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* created by cpanspec 1.78.04
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perl-Algorithm-NaiveBayes.spec
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perl-Algorithm-NaiveBayes.spec
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#
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# spec file for package perl-Algorithm-NaiveBayes (Version 0.04)
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#
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# Copyright (c) 2010 SUSE LINUX Products GmbH, Nuernberg, Germany.
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#
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# All modifications and additions to the file contributed by third parties
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# remain the property of their copyright owners, unless otherwise agreed
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# upon. The license for this file, and modifications and additions to the
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# file, is the same license as for the pristine package itself (unless the
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# license for the pristine package is not an Open Source License, in which
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# case the license is the MIT License). An "Open Source License" is a
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# license that conforms to the Open Source Definition (Version 1.9)
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# published by the Open Source Initiative.
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# Please submit bugfixes or comments via http://bugs.opensuse.org/
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#
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Name: perl-Algorithm-NaiveBayes
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Version: 0.04
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Release: 1
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License: GPL+ or Artistic
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%define cpan_name Algorithm-NaiveBayes
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Summary: Bayesian prediction of categories
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Url: http://search.cpan.org/dist/Algorithm-NaiveBayes/
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Group: Development/Libraries/Perl
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Source: http://www.cpan.org/authors/id/K/KW/KWILLIAMS/%{cpan_name}-%{version}.tar.gz
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BuildArch: noarch
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BuildRoot: %{_tmppath}/%{name}-%{version}-build
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BuildRequires: perl
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BuildRequires: perl(Module::Build)
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BuildRequires: perl-macros
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BuildRequires: perl(List::Util)
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BuildRequires: perl(Module::Build)
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Requires: perl(List::Util)
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%{perl_requires}
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%description
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This module implements the classic "Naive Bayes" machine learning
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algorithm. It is a well-studied probabilistic algorithm often used in
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automatic text categorization. Compared to other algorithms (kNN, SVM,
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Decision Trees), it's pretty fast and reasonably competitive in the quality
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of its results.
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A paper by Fabrizio Sebastiani provides a really good introduction to text
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categorization: the
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http://faure.iei.pi.cnr.it/~fabrizio/Publications/ACMCS02.pdf manpage
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%prep
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%setup -q -n %{cpan_name}-%{version}
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%build
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%{__perl} Build.PL installdirs=vendor
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./Build build flags=%{?_smp_mflags}
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%check
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./Build test
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%install
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./Build install destdir=%{buildroot} create_packlist=0
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%perl_gen_filelist
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%clean
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%{__rm} -rf %{buildroot}
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%files -f %{name}.files
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%defattr(-,root,root,755)
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%doc %attr(644,-,-) Changes
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%changelog
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