https://github.com/code-hex/algorithm-naivebayes-randomforest

RandomForest with Algorithm::NaiveBayes in perl
https://github.com/code-hex/algorithm-naivebayes-randomforest

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RandomForest with Algorithm::NaiveBayes in perl

• Host: GitHub
• URL: https://github.com/code-hex/algorithm-naivebayes-randomforest
• Owner: Code-Hex
• License: other
• Created: 2016-09-14T17:00:43.000Z (about 9 years ago)
• Default Branch: master
• Last Pushed: 2016-09-15T07:06:01.000Z (about 9 years ago)
• Last Synced: 2025-02-05T13:20:04.760Z (10 months ago)
• Language: Perl
• Size: 16.6 KB
• Stars: 1
• Watchers: 3
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Changelog: Changes
  • License: LICENSE

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README

          
# NAME

Algorithm::NaiveBayes::RandomForest - RandomForest using Algorithm::NaiveBayes

# SYNOPSIS

    use Algorithm::NaiveBayes::RandomForest;

    # 'max_processes' assignment child processes.

    # This number is used as the number of trees.

    my $nb = Algorithm::NaiveBayes::RandomForest->new(purge => 0, max_processes => 4);

    

    # If you have 'save_file', you can use this method

    # my $nb = Algorithm::NaiveBayes::RandomForest->new->restore_state('save_file'); 

    $nb->add_instance(

        attributes => {

            Like => 0.875,

            Nice => 0.322,

            Thanks   => 0.3234

        },

        label => 'positive',

    );

    $nb->add_instance(

        attributes => {

            Unlike => 0.583,

            Bad => 0.294

        },

        label => 'negative',

    );

    $nb->train;

    use Data::Dumper;

    say Dumper $nb->predict(

        attributes => {

            Unlike => 0.332,

            Like   => 0.553,

            Nice   => 0.872

        }

    );

# DESCRIPTION

Algorithm::NaiveBayes::RandomForest is inheritance by [Algorithm::NaiveBayes](https://metacpan.org/pod/Algorithm::NaiveBayes).  

So, you can use same method as Algorithm::NaiveBayes.

# SEE ALSO

[Algorithm::NaiveBayes](https://metacpan.org/pod/Algorithm::NaiveBayes)

# LICENSE

Copyright (C) Kei Kamikawa(Code-Hex).

This library is free software; you can redistribute it and/or modify

it under the same terms as Perl itself.

# AUTHOR

Kei Kamikawa