AI-NaiveBayes

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META.json  view on Meta::CPAN

   },
   "prereqs" : {
      "configure" : {
         "requires" : {
            "ExtUtils::MakeMaker" : "0"
         }
      },
      "develop" : {
         "requires" : {
            "Pod::Coverage::TrustPod" : "0",
            "Test::Pod" : "1.41",
            "Test::Pod::Coverage" : "1.08"
         }
      },
      "runtime" : {
         "requires" : {
            "File::Find::Rule" : "0.32",
            "List::Util" : "0",
            "Moose" : "1.15",
            "MooseX::Storage" : "0.25",
            "perl" : "5.010",
            "strict" : "0",
            "warnings" : "0"
         }
      },
      "test" : {
         "requires" : {
            "Test::More" : "0"
         }
      }
   },
   "release_status" : "stable",
   "resources" : {
      "repository" : {
         "type" : "git",
         "web" : "http://github.com/zby/AI-NaiveBayes"
      }
   },

META.yml  view on Meta::CPAN

---
abstract: 'A Bayesian classifier'
author:
  - 'Zbigniew Lukasiak <zlukasiak@opera.com>'
  - 'Tadeusz Sośnierz <tsosnierz@opera.com>'
  - 'Ken Williams <ken@mathforum.org>'
build_requires:
  Test::More: '0'
configure_requires:
  ExtUtils::MakeMaker: '0'
dynamic_config: 0
generated_by: 'Dist::Zilla version 6.008, CPAN::Meta::Converter version 2.150005'
license: perl
meta-spec:
  url: http://module-build.sourceforge.net/META-spec-v1.4.html
  version: '1.4'
name: AI-NaiveBayes
no_index:

Makefile.PL  view on Meta::CPAN

  "NAME" => "AI::NaiveBayes",
  "PREREQ_PM" => {
    "File::Find::Rule" => "0.32",
    "List::Util" => 0,
    "Moose" => "1.15",
    "MooseX::Storage" => "0.25",
    "strict" => 0,
    "warnings" => 0
  },
  "TEST_REQUIRES" => {
    "Test::More" => 0
  },
  "VERSION" => "0.04",
  "test" => {
    "TESTS" => "t/*.t"
  }
);


my %FallbackPrereqs = (
  "File::Find::Rule" => "0.32",
  "List::Util" => 0,
  "Moose" => "1.15",
  "MooseX::Storage" => "0.25",
  "Test::More" => 0,
  "strict" => 0,
  "warnings" => 0
);


unless ( eval { ExtUtils::MakeMaker->VERSION(6.63_03) } ) {
  delete $WriteMakefileArgs{TEST_REQUIRES};
  delete $WriteMakefileArgs{BUILD_REQUIRES};
  $WriteMakefileArgs{PREREQ_PM} = \%FallbackPrereqs;
}

a  view on Meta::CPAN

license = Perl_5
copyright_holder = Opera Software ASA
copyright_year   = 2012
version = 0.04
[@Basic]
[AutoPrereqs]
[Prereqs]
Moose = 1.15
MooseX::Storage = 0.25
File::Find::Rule = 0.32
[TestRelease]
[PkgVersion]
[MetaNoIndex]
directory = t/lib
directory = examples
[InstallGuide]
[MetaJSON]
[MetaResources]
repository.web   = http://github.com/zby/AI-NaiveBayes
repository.type  = git

[NextRelease]
format = %-9v %{yyyy-MM-dd}d
[CheckChangeLog]
[PodSyntaxTests]
[PodCoverageTests]
[PodWeaver]

dist.ini  view on Meta::CPAN

license = Perl_5
copyright_holder = Opera Software ASA
copyright_year   = 2012
version = 0.04
[@Basic]
[AutoPrereqs]
[Prereqs]
Moose = 1.15
MooseX::Storage = 0.25
File::Find::Rule = 0.32
[TestRelease]
[PkgVersion]
[MetaNoIndex]
directory = t/lib
directory = examples
[InstallGuide]
[MetaJSON]
[MetaResources]
repository.web   = http://github.com/zby/AI-NaiveBayes
repository.type  = git

[NextRelease]
format = %-9v %{yyyy-MM-dd}d
[CheckChangeLog]
[PodSyntaxTests]
[PodCoverageTests]
[PodWeaver]
[Git::Contributors]

t/01-learner.t  view on Meta::CPAN

use strict;
use warnings;
use Test::More tests => 11;
use AI::NaiveBayes::Learner;
ok(1); # If we made it this far, we're loaded.

my $learner = AI::NaiveBayes::Learner->new();

# Populate
$learner->add_example( attributes => _hash(qw(sheep very valuable farming)),
		   labels => ['farming'] );
is $learner->{labels}{farming}{count}, 1;

t/02-predict.t  view on Meta::CPAN

use strict;
use warnings;
use Test::More tests => 12;
use AI::NaiveBayes;
use AI::NaiveBayes::Learner;
ok(1); # If we made it this far, we're loaded.

my $lr = AI::NaiveBayes::Learner->new();

# Populate
$lr->add_example( attributes => _hash(qw(sheep very valuable farming)),
           labels => ['farming'] );
$lr->add_example( attributes => _hash(qw(farming requires many kinds animals)),

t/author-pod-coverage.t  view on Meta::CPAN

#!perl

BEGIN {
  unless ($ENV{AUTHOR_TESTING}) {
    print qq{1..0 # SKIP these tests are for testing by the author\n};
    exit
  }
}

# This file was automatically generated by Dist::Zilla::Plugin::PodCoverageTests.

use Test::Pod::Coverage 1.08;
use Pod::Coverage::TrustPod;

all_pod_coverage_ok({ coverage_class => 'Pod::Coverage::TrustPod' });

t/author-pod-syntax.t  view on Meta::CPAN

#!perl

BEGIN {
  unless ($ENV{AUTHOR_TESTING}) {
    print qq{1..0 # SKIP these tests are for testing by the author\n};
    exit
  }
}

# This file was automatically generated by Dist::Zilla::Plugin::PodSyntaxTests.
use strict; use warnings;
use Test::More;
use Test::Pod 1.41;

all_pod_files_ok();

t/default_training.t  view on Meta::CPAN

use strict;
use Test::More tests => 2;
use AI::NaiveBayes;
ok(1); # If we made it this far, we're loaded.

my $classifier = AI::NaiveBayes->train( 
    {
        attributes => _hash(qw(sheep very valuable farming)),
        labels => ['farming']
    },
    {
        attributes => _hash(qw(vampires cannot see their images mirrors)),

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